Coastal communities are uniquely vulnerable to sea-level rise (SLR) and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in coming years. The U.S. Geological Survey has developed a strategy to define baseline and post-event sediment-bound environmental health (EH) stressors (hereafter referred to as the Sediment-Bound Contaminant Resiliency and Response [SCoRR] strategy). A tiered, multimetric approach will be used to (1) identify and map contaminant sources and potential exposure pathways for human and ecological receptors, (2) define the baseline mixtures of EH stressors present in sediments and correlations of relevance, (3) document post-event changes in EH stressors present in sediments, and (4) establish and apply metrics to quantify changes in coastal resilience associated with sediment-bound contaminants. Integration of this information provides a means to improve assessment of the baseline status of a complex system and the significance of changes in contaminant hazards due to storm-induced (episodic) and SLR (incremental) disturbances. This report describes the purpose and design of the SCoRR strategy and the methods used to construct a decision support tool to identify candidate sampling stations vulnerable to contaminants that may be mobilized by coastal storms.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20151188A","collaboration":"Toxic Substances Hydrology Program","usgsCitation":"Reilly, T.J., Jones, D.K., Focazio, M.J., Aquino, K.C., Carbo, C.L., Kaufhold, E.E., Zinecker, E.K., Benzel, W.M., Fisher, S.C., Griffin, D.W., Iwanowicz, L.R., Loftin, K.A. and Schill, W.B., 2015, Strategy to evaluate persistent contaminant hazards resulting from sea-level rise and storm-derived disturbances—Study design and methodology for station prioritization: U.S. Geological Survey Open-File Report 2015–1188A, 20 p., https://dx.doi.org/10.3133/ofr20151188A.","productDescription":"Report: vi, 20 p.; 3 Appendixes","numberOfPages":"30","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066315","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":438671,"rank":7,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7F47MBM","text":"USGS data release","linkHelpText":"Matrix inhibition PCR and Microtox 81.9% screening assay analytical results for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015"},{"id":312421,"rank":6,"type":{"id":22,"text":"Related Work"},"url":"https://pubs.usgs.gov/publication/ofr20151188B","text":"Open-File Report 2015-1188B","linkHelpText":"Standard Operating Procedures for Collection of Soil and Sediment Samples for the Sediment-bound Contaminant Resiliency and Response (SCoRR) Strategy Pilot Study"},{"id":310598,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1188/A/ofr2015-1188a_appendixa-ntasdatabase.xlsx","text":"Appendix A","size":"223 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1188 A","linkHelpText":"National Target Analyte Strategy (NTAS) Constituent Database"},{"id":310599,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1188/A/ofr2015-1188a_appendixb-tri-ranks.xlsx","text":"Appendix B","size":"91.6 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1188 A","linkHelpText":"National Target Analyte Strategy (NTAS) Ranked Constituent Database"},{"id":310596,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2015/1188/A/coverthb.jpg"},{"id":310597,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2015/1188/A/ofr20151188a.pdf","text":"Report","size":"5.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 2015-1188 A"},{"id":310600,"rank":5,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2015/1188/A/ofr2015-1188a_appendixc-frsquestionnaire.xlsx","text":"Appendix C","size":"46.2 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"OFR 2015-1188 A","linkHelpText":"U.S. Environmental Protection Agency (EPA) Facility Registry Service (FRS) Questionnaire used to Generate Potential Contaminant Hazard Ranks"}],"country":"United States","state":"Connecticut, Delaware, District of Columbia, Maine, Maryland, Massachusetts, New Hampshire, New Jersey, New York, Pennsylvania, Rhode Island, Virginia","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.9375,\n 36.66841891894786\n ],\n [\n -75.146484375,\n 38.03078569382294\n ],\n [\n -74.70703125,\n 39.095962936305504\n ],\n [\n -73.6962890625,\n 40.111688665595956\n ],\n [\n -71.9384765625,\n 40.84706035607122\n ],\n [\n -71.103515625,\n 41.21172151054787\n ],\n [\n -69.9169921875,\n 41.60722821271717\n ],\n [\n -69.873046875,\n 42.16340342422401\n ],\n [\n -70.4443359375,\n 42.35854391749705\n ],\n [\n -70.57617187499999,\n 42.97250158602597\n ],\n [\n -70.048828125,\n 43.54854811091288\n ],\n [\n 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This report describes the methods and data associated with a reconnaissance study of young of year bluefish and mussel tissue samples as well as bed sediment collected as bluefish habitat indicators during August 2013–April 2014 in New Jersey and New York following Hurricane Sandy in October 2012. This study was funded by the Disaster Relief Appropriations Act of 2013 (PL 113-2) and was conducted by the U.S. Geological Survey (USGS) in cooperation with the National Oceanic and Atmospheric Administration (NOAA).
\nYoung of year Pomatomus saltatrix (bluefish) were collected from nine sites in New Jersey (N.J.) and New York (N.Y.) including Barnegat Bay, N.J., Sandy Hook Bay, N.J., Jamaica Bay, N.Y., and Great South Bay, N.Y., and analyzed for indicators of health and chemical contamination. At each bluefish sampling location, bed sediment was also collected and analyzed for a suite of contaminants. Resident mussels, Mytilus edulis (blue mussels) and (or) Geukensia demissa (ribbed mussels), were collected from 11 historic NOAA Mussel Watch Program sites along the N.J. and N.Y. coastlines in the winter/spring of 2014 and analyzed for contaminants. Individual age of a subset of the mussels sampled was also determined at each site.
\nBed sediment samples were analyzed for a suite of organic contaminants including 34 polychlorinated biphenyl (PCB) congeners, 28 polybrominated diphenyl ether (PBDE) congeners, 24 organochlorine pesticides (OCPs), 53 polycyclic aromatic hydrocarbons (PAHs) and alkylated PAHs, 33 aliphatic hydrocarbons (AHs), and 10 petroleum biomarkers (steranes and hopanes). Bed sediment collected from the Navesink River (Sandy Hook, N.J.), Metedeconk River (Barnegat Bay, N.J.), and Toms River (Barnegat Bay, N.J.) had the highest concentrations of contaminants compared to the other sites.
\nBluefish and mussel tissue collected throughout the study area was analyzed for 34 PCB congeners, 28 PBDE congeners, and 24 OCPs. Thirty-three PCB congeners, 22 PBDE congeners, and 24 OCPs were detected in the bluefish analyzed. The highest median concentrations of total PCBs were present in tissue from Jamaica Bay, N.Y., whereas the highest median concentrations of total PBDEs and total OCPs were present in tissue from Sandy Hook Bay. Of the OCPs detected, p,p’-DDE was found in 99 percent (%) of the tissue samples and at the highest median concentrations compared to the other OCPs.
\nFish health assessments were conducted on 20 fish from the 4 bays. Results indicate that the sex ratio and the mean total length varied by site. Physical fish damage, such as lesions and parasites, was observed in fish from all four bays. The most common parasite observed visually was the presence of Livoneca redmanii, an ectoparasitic gill isopod, which can cause localized gill erosion. The prevalence of the gill isopod infestation ranged from 20% at Great South Bay, N.Y., to 35% at Jamaica Bay, N.Y.
\nTwenty three PCB congeners, 9 PBDE congeners, and 20 OCPs were detected in composite mussel samples collected throughout the study area. The co-eluting PCB congeners 153 and 132, PBDE 47, 99, and 100, and p,p’-DDE were detected in samples from each site. The highest median concentrations of PCBs and PBDEs were present in mussels from Raritan Bay, N.Y., whereas the highest median concentrations of OCPs were present in mussels from Fire Island Inlet, N.Y., and Shark River, N.J. Mytilus edulis (blue mussels) and Geukensia demissa (ribbed mussels) were thin-sectioned and aged. The blue mussels collected ranged in age from 4 to 13 years, and the ribbed mussels ranged in age from 3 to 12 years.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds956","collaboration":"Prepared in cooperation with the National Oceanic and Atmospheric Administration","usgsCitation":"Smalling, K.L., Deshpande, A.D., Blazer, V.S., Galbraith, H., Dockum, B.W., Romanok, K.M., Colella, K., Deetz, A.C., Fisher, I.J., Imbrigiotta, T.E., Sharack, B., Sumner, L, Timmons, D., Trainor, J., Wieczorek, D, Samson, J., Reilly, T.J., and Focazio, M.J., 2015, Chemical and ancillary data associated with bed sediment, young of year bluefish (Pomatomus saltatrix) tissue, and mussel (Mytilus edulis and Geukensia demissa) tissue collected after Hurricane Sandy in bays and estuaries of New Jersey and New York, 2013–14: U.S. Geological Survey Data Series 956, 18 p., https://dx.doi.org/10.3133/ds956.","productDescription":"Report: x, 18 p.; Tables","numberOfPages":"32","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-066280","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":307934,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0956/ds956.pdf","text":"Report","size":"12.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"DS 956"},{"id":307935,"rank":3,"type":{"id":27,"text":"Table"},"url":"https://pubs.usgs.gov/ds/0956/ds956_tables.xlsx","text":"DS 956 Tables","size":"226 KB","linkFileType":{"id":3,"text":"xlsx"},"description":"DS 956","linkHelpText":"Excel workbook containing tables 1–21"},{"id":307933,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/ds/0956/coverthb.jpg"}],"country":"United States","state":"New Jersey, New York","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.39117431640625,\n 40.065460682065535\n ],\n [\n -74.39117431640625,\n 41.32320110223851\n ],\n [\n -71.88079833984375,\n 41.32320110223851\n ],\n [\n -71.88079833984375,\n 40.065460682065535\n ],\n [\n -74.39117431640625,\n 40.065460682065535\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
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Nitrate-concentration data are used in conjunction with land-use and land-cover data to estimate median nitrate concentrations in groundwater underlying the New Jersey (NJ) Highlands Region. Sources of data on nitrate in 19,670 groundwater samples are from the U.S. Geological Survey (USGS) National Water Information System (NWIS) and the NJ Private Well Testing Act (PWTA).
\nIn a study conducted by the USGS, in cooperation with the New Jersey Department of Environmental Protection, logistic regression was used to relate measured nitrate concentrations to five explanatory variables (percent urban and agricultural land use, septic-system density, total length of streams, and number of known contaminated sites) quantified in 610-meter-square grid cells. A method for calculating the median concentrations of nitrate from a series of logistic regression models was developed. Two calibration and two validation procedures showed that the logistic-regression-based method can estimate groundwater-nitrate concentrations in the Highlands Region accurately to within 0.1 milligram per liter as nitrogen (mg/L as N). Limitations of the logistic-regression-based method include the inability to select a logistic model with exactly 0.5 probability of exceeding the threshold value and lack of an algorithm to directly calculate the median value. Quantile regression was evaluated as a suitable alternative and was slightly less accurate than the logistic-regression method in estimating median groundwater nitrate concentrations in the Highlands Region.
\nMultiple-linear regression with log-transformed nitrate-concentration data and the same five explanatory values was less accurate than either logistic or quantile regression in estimating median nitrate concentrations. On the basis of 4,516 2000 x 2000 foot grid cells that contain wells with data stored in NWIS and the PWTA database, the estimated median nitrate concentration for the entire Highlands Region is about 1.25 mg/L as N, and estimated median concentrations range from about 1.05 to 1.78 mg/L as N among 11 smaller administratively defined areas within the Highlands Region that vary in percentages of urban land use, agricultural land use, and septic-system density.
\nThe Kaplan-Meier method of estimating summary statistics from left-censored data was applied in order to include nondetects (left-censored data) in median nitrate-concentration calculations. Median concentrations also were determined using three alternative methods of handling nondetects. Treatment of the 23 percent of samples that were nondetects had little effect on estimated median nitrate concentrations because method detection limits were mostly less than median values.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155075","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Baker, R.J., Chepiga, M., and Cauller, S.J., 2015, Median nitrate concentrations in groundwater in the New Jersey Highlands Region estimated using regression models and land-surface characteristics: U.S. Geological Survey Scientific Investigations Report 2015-5075, Report: vii, 26 p.; 2 Appendices, https://doi.org/10.3133/sir20155075.","productDescription":"Report: vii, 26 p.; 2 Appendices","numberOfPages":"39","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-060925","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":305639,"rank":3,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5075/support/sir20155075_appendix01.xlsx","text":"Appendix 1","size":"17.2 MB","linkFileType":{"id":3,"text":"xlsx"},"description":"SIR 2015-5075 Appendix 1","linkHelpText":"Example spreadsheet for calculating median nitrate concentrations with logistic-regression models"},{"id":305637,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2015/5075/"},{"id":305638,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5075/support/sir20155075.pdf","text":"Report","size":"16.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5075 Report"},{"id":305640,"rank":4,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2015/5075/support/sir20155075_appendix02.pdf","text":"Appendix 2","size":"180 KB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5075 Appendix 2","linkHelpText":"Geographic and environmental characteristics evaluated as possible explanatory variables in models of median nitrate concentrations in groundwater in the NJ Highlands Region"},{"id":305641,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20155075.jpg"}],"projection":"Universal Transverse Mercator projection","country":"United States","state":"New Jersey","otherGeospatial":"New Jersey Highlands","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.0531005859375,\n 40.86783384138491\n ],\n [\n -74.9212646484375,\n 41.03793062246529\n ],\n [\n -74.805908203125,\n 41.03793062246529\n ],\n [\n -74.5697021484375,\n 41.290189955885644\n ],\n [\n -74.2236328125,\n 41.13315883477399\n ],\n [\n -74.3115234375,\n 40.94671366508002\n ],\n [\n -74.4049072265625,\n 40.77638178482896\n ],\n [\n -74.5806884765625,\n 40.643135583312805\n ],\n [\n -74.72351074218749,\n 40.51379915504413\n ],\n [\n -74.9212646484375,\n 40.47202439692057\n ],\n [\n -75.08056640625,\n 40.44694705960048\n ],\n [\n -75.069580078125,\n 40.53050177574321\n ],\n [\n -75.146484375,\n 40.56389453066509\n ],\n [\n -75.1904296875,\n 40.538851525354666\n ],\n [\n -75.2288818359375,\n 40.62646106367355\n ],\n [\n -75.234375,\n 40.693134153308094\n ],\n [\n -75.223388671875,\n 40.751418432997454\n ],\n [\n -75.16845703124999,\n 40.78885994449482\n ],\n [\n -75.135498046875,\n 40.772221877329024\n ],\n [\n -75.091552734375,\n 40.82212357516945\n ],\n [\n -75.1190185546875,\n 40.863679665481676\n ],\n [\n -75.0531005859375,\n 40.86783384138491\n ]\n ]\n ]\n }\n }\n ]\n}","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"560bb6cbe4b058f706e53d66","contributors":{"authors":[{"text":"Baker, Ronald J. rbaker@usgs.gov","contributorId":1436,"corporation":false,"usgs":true,"family":"Baker","given":"Ronald","email":"rbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":547539,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Chepiga, Mary M. mchepiga@usgs.gov","contributorId":888,"corporation":false,"usgs":true,"family":"Chepiga","given":"Mary M.","email":"mchepiga@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":547540,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cauller, Stephen J. 0000-0002-1823-8813 sjcaulle@usgs.gov","orcid":"https://orcid.org/0000-0002-1823-8813","contributorId":3641,"corporation":false,"usgs":true,"family":"Cauller","given":"Stephen","email":"sjcaulle@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":564557,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70155504,"text":"70155504 - 2015 - Screening tool to evaluate the vulnerability of down-gradient receptors to groundwater contaminants from uncapped landfills","interactions":[],"lastModifiedDate":"2015-08-10T10:00:42","indexId":"70155504","displayToPublicDate":"2015-08-01T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3707,"text":"Waste Management","active":true,"publicationSubtype":{"id":10}},"title":"Screening tool to evaluate the vulnerability of down-gradient receptors to groundwater contaminants from uncapped landfills","docAbstract":"A screening tool for quantifying levels of concern for contaminants detected in monitoring wells on or near landfills to down-gradient receptors (streams, wetlands and residential lots) was developed and evaluated. The tool uses Quick Domenico Multi-scenario (QDM), a spreadsheet implementation of Domenico-based solute transport, to estimate concentrations of contaminants reaching receptors under steady-state conditions from a constant-strength source. Unlike most other available Domenico-based model applications, QDM calculates the time for down-gradient contaminant concentrations to approach steady state and appropriate dispersivity values, and allows for up to fifty simulations on a single spreadsheet. Sensitivity of QDM solutions to critical model parameters was quantified. The screening tool uses QDM results to categorize landfills as having high, moderate and low levels of concern, based on contaminant concentrations reaching receptors relative to regulatory concentrations. The application of this tool was demonstrated by assessing levels of concern (as defined by the New Jersey Pinelands Commission) for thirty closed, uncapped landfills in the New Jersey Pinelands National Reserve, using historic water-quality data from monitoring wells on and near landfills and hydraulic parameters from regional flow models. Twelve of these landfills are categorized as having high levels of concern, indicating a need for further assessment. This tool is not a replacement for conventional numerically-based transport model or other available Domenico-based applications, but is suitable for quickly assessing the level of concern posed by a landfill or other contaminant point source before expensive and lengthy monitoring or remediation measures are taken. In addition to quantifying the level of concern using historic groundwater-monitoring data, the tool allows for archiving model scenarios and adding refinements as new data become available.
","language":"English","publisher":"Pergamon","publisherLocation":"New York, NY","doi":"10.1016/j.wasman.2015.04.009","usgsCitation":"Baker, R.J., Reilly, T.J., Lopez, A.R., Romanok, K., and Wengrowski, E.W., 2015, Screening tool to evaluate the vulnerability of down-gradient receptors to groundwater contaminants from uncapped landfills: Waste Management, v. 43, p. 363-375, https://doi.org/10.1016/j.wasman.2015.04.009.","productDescription":"16 p.","startPage":"363","endPage":"375","numberOfPages":"16","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-055964","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":471907,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1016/j.wasman.2015.04.009","text":"Publisher Index Page"},{"id":306525,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","otherGeospatial":"New Jersey Pinelands National Reserve","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.84710693359375,\n 39.86758762451019\n ],\n [\n -74.65484619140625,\n 40.00026797264677\n ],\n [\n -74.46807861328125,\n 40.15578608609647\n ],\n [\n -74.2291259765625,\n 40.12639098502455\n ],\n [\n -74.190673828125,\n 40.02551125229785\n ],\n [\n -74.37469482421875,\n 39.66491373749131\n ],\n [\n -74.5697021484375,\n 39.38101803294523\n ],\n [\n -74.73724365234375,\n 39.16201148082406\n ],\n [\n -74.8443603515625,\n 39.07677595221322\n ],\n [\n -75.13275146484375,\n 39.2173592639196\n ],\n [\n -75.22064208984375,\n 39.25352462727606\n ],\n [\n -75.245361328125,\n 39.29392267616436\n ],\n [\n -75.33050537109375,\n 39.35766163717121\n ],\n [\n -75.333251953125,\n 39.41497702499074\n ],\n [\n -75.31402587890625,\n 39.52522954427751\n ],\n [\n -75.15472412109375,\n 39.65645604812829\n ],\n [\n -75.091552734375,\n 39.69662085337441\n ],\n [\n -74.84710693359375,\n 39.86758762451019\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"43","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55c9cb38e4b08400b1fdb724","contributors":{"authors":[{"text":"Baker, Ronald J. rbaker@usgs.gov","contributorId":1436,"corporation":false,"usgs":true,"family":"Baker","given":"Ronald","email":"rbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565585,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":565586,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lopez, Anthony R.","contributorId":21471,"corporation":false,"usgs":true,"family":"Lopez","given":"Anthony","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":565588,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Romanok, Kristin M. kromanok@usgs.gov","contributorId":3771,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","email":"kromanok@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":565587,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Wengrowski, Edward W","contributorId":145891,"corporation":false,"usgs":false,"family":"Wengrowski","given":"Edward","email":"","middleInitial":"W","affiliations":[{"id":16285,"text":"New Jersey Pinelands Commission, New Lisbon, NJ, 08064","active":true,"usgs":false}],"preferred":false,"id":565589,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70147240,"text":"sir20155064 - 2015 - Flood-Inundation maps for the Hohokus Brook in Waldwick Borough, Ho-Ho-Kus Borough, and the Village of Ridgewood, New Jersey, 2014","interactions":[],"lastModifiedDate":"2015-07-20T10:37:04","indexId":"sir20155064","displayToPublicDate":"2015-07-20T11:15:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2015-5064","title":"Flood-Inundation maps for the Hohokus Brook in Waldwick Borough, Ho-Ho-Kus Borough, and the Village of Ridgewood, New Jersey, 2014","docAbstract":"Digital flood-inundation maps for a 6-mile reach of the Hohokus Brook in New Jersey from White's Lake Dam in Waldwick Borough, through Ho-Ho-Kus Borough to Grove Street in the Village of Ridgewood were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection. The flood inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Hohokus Brook at Ho-Ho-Kus, New Jersey (station number 01391000). Stage data at this streamgage may be obtained on the Internet from the USGS National Water Information System at http://waterdata.usgs.gov/nwis/uv?site_no=01391000 or the National Weather Service (NWS) Advanced Hydrologic Prediction Service at http://water.weather.gov/ahps2/hydrograph.php?gage=hohn4&wfo=okx.
\nFlood profiles were simulated for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated using the most current stage-discharge relation at the Hohokus Brook at Ho-Ho-Kus, New Jersey, streamgage (station number 01391000). The hydraulic model was then used to compute 12 water-surface profiles for flood stages at 0.5-foot (ft) intervals referenced to the streamgage datum and ranging from 2.5 ft, the NWS “action stage” or near bankfull, to 8.0 ft, which exceeds the stage that corresponds to the maximum recorded peak flow (7.32 ft) and is the extent of the current stage-discharge relation for the streamgage. The simulated water-surface profiles were then combined with a geographic information system 3-meter (9.84 ft) digital elevation model [derived from light detection and ranging (lidar) data] to delineate the area flooded at each water level.
\nThe availability of these maps along with information on the Internet regarding current stage from the USGS streamgage will provide emergency management personnel and residents with information that is critical for flood response activities such as evacuations and road closures, as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20155064","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Watson, K.M., and Niemoczynski, M.J., 2015, Flood-Inundation maps for the Hohokus Brook in Waldwick Borough, Ho-Ho-Kus Borough, and the Village of Ridgewood, New Jersey, 2014: U.S. Geological Survey Scientific Investigations Report 2015–5064, 12 p., https://dx.doi.org/10.3133/sir20155064.","productDescription":"v, 12 p.","numberOfPages":"22","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053102","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":305705,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/sir/2015/5064/coverthb.jpg"},{"id":305706,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2015/5064/sir20155064.pdf","text":"Report","size":"6.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2015-5064"},{"id":305707,"rank":3,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5064/downloads/depth_raster/","text":"Depth_Raster","size":"112 MB","description":"XML, ovr, adf, and Other Files"},{"id":305708,"rank":4,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5064/downloads/KML/","text":"KML","size":"116 KB","description":"KMZ"},{"id":305709,"rank":5,"type":{"id":20,"text":"Read Me"},"url":"https://pubs.usgs.gov/sir/2015/5064/downloads/readme.txt","text":"Readme","size":"9.72 KB","linkFileType":{"id":2,"text":"txt"},"description":"Readme"},{"id":305710,"rank":6,"type":{"id":23,"text":"Spatial Data"},"url":"https://pubs.usgs.gov/sir/2015/5064/downloads/water_surface_final/","text":"Water Data","size":"1.43 MB","linkFileType":{"id":4,"text":"shapefile"},"description":"Water Surface"}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -74.09042358398438,\n 40.86627605595889\n ],\n [\n -74.09042358398438,\n 40.914550362677204\n ],\n [\n -74.01592254638672,\n 40.914550362677204\n ],\n [\n -74.01592254638672,\n 40.86627605595889\n ],\n [\n -74.09042358398438,\n 40.86627605595889\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New Jersey Water Science Center
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3450 Princeton Pike, Suite 110
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http://nj.usgs.gov/
","tableOfContents":"
Robust hydrologic models are needed to help manage water resources for healthy aquatic ecosystems and reliable water supplies for people, but there is a lack of comprehensive model comparison studies that quantify differences in streamflow predictions among model applications developed to answer management questions. We assessed differences in daily streamflow predictions by four fine-scale models and two regional-scale monthly time step models by comparing model fit statistics and bias in ecologically relevant flow statistics (ERFSs) at five sites in the Southeastern USA. Models were calibrated to different extents, including uncalibrated (level A), calibrated to a downstream site (level B), calibrated specifically for the site (level C) and calibrated for the site with adjusted precipitation and temperature inputs (level D). All models generally captured the magnitude and variability of observed streamflows at the five study sites, and increasing level of model calibration generally improved performance. All models had at least 1 of 14 ERFSs falling outside a +/−30% range of hydrologic uncertainty at every site, and ERFSs related to low flows were frequently over-predicted. Our results do not indicate that any specific hydrologic model is superior to the others evaluated at all sites and for all measures of model performance. Instead, we provide evidence that (1) model performance is as likely to be related to calibration strategy as it is to model structure and (2) simple, regional-scale models have comparable performance to the more complex, fine-scale models at a monthly time step.
","language":"English","publisher":"John Wiley & Sons","publisherLocation":"Chichester, West Sussex, UK","doi":"10.1002/eco.1602","usgsCitation":"Caldwell, P.V., Kennen, J., Sun, G., Kiang, J.E., Butcher, J.B., Eddy, M.C., Hay, L.E., LaFontaine, J.H., Hain, E.F., Nelson, S.C., and McNulty, S., 2015, A comparison of hydrologic models for ecological flows and water availability: Ecohydrology, v. 8, no. 8, p. 1525-1546, https://doi.org/10.1002/eco.1602.","productDescription":"22 p.","startPage":"1525","endPage":"1546","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-062207","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":306514,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"8","issue":"8","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationDate":"2015-02-23","publicationStatus":"PW","scienceBaseUri":"55c9cb2ee4b08400b1fdb6e1","contributors":{"authors":[{"text":"Caldwell, Peter V","contributorId":145892,"corporation":false,"usgs":false,"family":"Caldwell","given":"Peter","email":"","middleInitial":"V","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":565591,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565590,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Sun, Ge","contributorId":145893,"corporation":false,"usgs":false,"family":"Sun","given":"Ge","email":"","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":565592,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kiang, Julie E. 0000-0003-0653-4225 jkiang@usgs.gov","orcid":"https://orcid.org/0000-0003-0653-4225","contributorId":2179,"corporation":false,"usgs":true,"family":"Kiang","given":"Julie","email":"jkiang@usgs.gov","middleInitial":"E.","affiliations":[{"id":37778,"text":"WMA - Integrated Modeling and Prediction Division","active":true,"usgs":true},{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":true,"id":565593,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Butcher, John B","contributorId":145894,"corporation":false,"usgs":false,"family":"Butcher","given":"John","email":"","middleInitial":"B","affiliations":[{"id":16286,"text":"Tetra Tech","active":true,"usgs":false}],"preferred":false,"id":565594,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Eddy, Michelle C","contributorId":145895,"corporation":false,"usgs":false,"family":"Eddy","given":"Michelle","email":"","middleInitial":"C","affiliations":[{"id":7151,"text":"RTI International","active":true,"usgs":false}],"preferred":false,"id":565595,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Hay, Lauren E. 0000-0003-3763-4595 lhay@usgs.gov","orcid":"https://orcid.org/0000-0003-3763-4595","contributorId":1287,"corporation":false,"usgs":true,"family":"Hay","given":"Lauren","email":"lhay@usgs.gov","middleInitial":"E.","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":565596,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"LaFontaine, Jacob H. 0000-0003-4923-2630 jlafonta@usgs.gov","orcid":"https://orcid.org/0000-0003-4923-2630","contributorId":2258,"corporation":false,"usgs":true,"family":"LaFontaine","given":"Jacob","email":"jlafonta@usgs.gov","middleInitial":"H.","affiliations":[{"id":316,"text":"Georgia Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":565597,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Hain, Ernie F.","contributorId":141247,"corporation":false,"usgs":false,"family":"Hain","given":"Ernie","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":565598,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Nelson, Stacy C","contributorId":145896,"corporation":false,"usgs":false,"family":"Nelson","given":"Stacy","email":"","middleInitial":"C","affiliations":[{"id":7091,"text":"North Carolina State University","active":true,"usgs":false}],"preferred":false,"id":565599,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"McNulty, Steve G","contributorId":145897,"corporation":false,"usgs":false,"family":"McNulty","given":"Steve G","affiliations":[{"id":6684,"text":"USDA Forest Service, Southern Research Station, Aiken, SC","active":true,"usgs":false}],"preferred":false,"id":567588,"contributorType":{"id":1,"text":"Authors"},"rank":11}]}} ,{"id":70139718,"text":"ds905 - 2015 - Estuarine bed-sediment-quality data collected in New Jersey and New York after Hurricane Sandy, 2013","interactions":[],"lastModifiedDate":"2015-02-16T10:00:19","indexId":"ds905","displayToPublicDate":"2015-02-16T11:00:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"905","title":"Estuarine bed-sediment-quality data collected in New Jersey and New York after Hurricane Sandy, 2013","docAbstract":"This report describes a reconnaissance study of estuarine bed-sediment quality conducted June–October 2013 in New Jersey and New York after Hurricane Sandy in October 2012 to assess the extent of contamination and the potential long-term human and ecological impacts of the storm. The study, funded through the Disaster Relief Appropriations Act of 2013 (PL 113-2), was conducted by the U.S. Geological Survey in cooperation with the U.S. Environmental Protection Agency and the National Oceanographic and Atmospheric Administration. In addition to presenting the bed-sediment-quality data, the report describes the study design, documents the methods of sample collection and analysis, and discusses the steps taken to assure the quality of the data.
\nBed-sediment samples were collected from June to October 2013 from 167 estuarine sites extending from Cape May, New Jersey, to the New York Harbor and the eastern end of Long Island. Each sampling location and study region was characterized by using geographic information to identify potential contaminant sources. Characterizations included land cover, locations and types of businesses (industrial, financial, and others), spills (sewage, chemical, and others), bulk storage facilities, effluent discharges within 2 kilometers of the sampling point, and discharges within inundated and non-inundated regions near the sampling location. Samples were analyzed for particle size, total organic carbon, metals and trace elements, semivolatile organic compounds, wastewater compounds, hormones, and sediment toxicity. Samples were also screened using x-ray fluorescence, Fourier transform infrared spectroscopy, and x-ray diffraction. In addition, bioassays for endocrine disruptors and protein phosphatase 2A inhibition were conducted. The study was designed to provide the data needed to understand the extent and sources of contamination resulting from Hurricane Sandy, to compare the chemistry and toxicity of estuarine bed sediments before and after the storm, and to evaluate the usefulness of rapid screening and bioassay approaches in disaster settings.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds905","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency, National Oceanic and Atmospheric Administration, New Jersey Department of Environmental Protection, New York State Department of Environmental Conservation, New York City Department of Environmental Protection, Suffolk County Department of Health Services, and Town of Hempstead","usgsCitation":"Fischer, J., Phillips, P., Reilly, T.J., Focazio, M.J., Loftin, K.A., Benzel, W., Jones, D.K., Smalling, K., Fisher, S.C., Fisher, I., Iwanowicz, L., Romanok, K., Jenkins, D.E., Bowers, L., Boehlke, A., Foreman, W., Deetz, A., Carper, L.G., Imbrigiotta, T., and Birdwell, J.E., 2015, Estuarine bed-sediment-quality data collected in New Jersey and New York after Hurricane Sandy, 2013: U.S. Geological Survey Data Series 905, Report: xiv, 42 p.; 38 Tables; Downloads Directory, 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Center","active":true,"usgs":true}],"preferred":true,"id":539596,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Jones, Daniel K. 0000-0003-0724-8001 dkjones@usgs.gov","orcid":"https://orcid.org/0000-0003-0724-8001","contributorId":4959,"corporation":false,"usgs":true,"family":"Jones","given":"Daniel","email":"dkjones@usgs.gov","middleInitial":"K.","affiliations":[{"id":610,"text":"Utah Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539597,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Smalling, Kelly L. ksmall@usgs.gov","contributorId":1370,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":539598,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Fisher, Shawn C. 0000-0001-6324-1061 scfisher@usgs.gov","orcid":"https://orcid.org/0000-0001-6324-1061","contributorId":4843,"corporation":false,"usgs":true,"family":"Fisher","given":"Shawn","email":"scfisher@usgs.gov","middleInitial":"C.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":539599,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Fisher, Irene J. ifisher@usgs.gov","contributorId":5844,"corporation":false,"usgs":true,"family":"Fisher","given":"Irene J.","email":"ifisher@usgs.gov","affiliations":[],"preferred":false,"id":539600,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Iwanowicz, Luke R. liwanowicz@usgs.gov","contributorId":386,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","email":"liwanowicz@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science 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Flagstaff, AZ. Current address: TN-SCORE, Univ of Tennessee, Knoxville, TN, e-mail: jennen@gmail.com","active":true,"usgs":false}],"preferred":false,"id":539603,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Boehlke, Adam 0000-0003-4980-431X aboehlke@usgs.gov","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":3470,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam","email":"aboehlke@usgs.gov","affiliations":[{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":539604,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Foreman, William T. wforeman@usgs.gov","contributorId":1473,"corporation":false,"usgs":true,"family":"Foreman","given":"William T.","email":"wforeman@usgs.gov","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true}],"preferred":false,"id":540634,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Deetz, Anna C.","contributorId":32764,"corporation":false,"usgs":true,"family":"Deetz","given":"Anna C.","affiliations":[],"preferred":false,"id":540635,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Carper, Lisa G.","contributorId":139275,"corporation":false,"usgs":true,"family":"Carper","given":"Lisa","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":540636,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Imbrigiotta, Thomas E. 0000-0003-1716-4768 timbrig@usgs.gov","orcid":"https://orcid.org/0000-0003-1716-4768","contributorId":138988,"corporation":false,"usgs":true,"family":"Imbrigiotta","given":"Thomas E.","email":"timbrig@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":539606,"contributorType":{"id":1,"text":"Authors"},"rank":19},{"text":"Birdwell, Justin E. 0000-0001-8263-1452 jbirdwell@usgs.gov","orcid":"https://orcid.org/0000-0001-8263-1452","contributorId":3302,"corporation":false,"usgs":true,"family":"Birdwell","given":"Justin","email":"jbirdwell@usgs.gov","middleInitial":"E.","affiliations":[{"id":255,"text":"Energy Resources Program","active":true,"usgs":true},{"id":569,"text":"Southwest Climate Science Center","active":true,"usgs":true},{"id":164,"text":"Central Energy Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":539601,"contributorType":{"id":1,"text":"Authors"},"rank":20}]}} ,{"id":70059151,"text":"sir20135232 - 2015 - Water-level conditions in the confined aquifers of the New Jersey Coastal Plain, 2008","interactions":[],"lastModifiedDate":"2019-09-26T08:09:59","indexId":"sir20135232","displayToPublicDate":"2015-02-12T10:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5232","title":"Water-level conditions in the confined aquifers of the New Jersey Coastal Plain, 2008","docAbstract":"Groundwater-level altitudes in 10 confined aquifers of the New Jersey Coastal Plain were measured and evaluated to provide an overview of regional groundwater conditions during fall 2008. Water levels were measured in more than 900 wells in New Jersey, eastern Pennsylvania, and northern Delaware and potentiometric surface maps prepared for the confined Cohansey aquifer of Cape May County, the Rio Grande water-bearing zone, the Atlantic City 800-foot sand, the Piney Point, Vincentown, and the Wenonah-Mount Laurel aquifers, the Englishtown aquifer system, and the Upper, Middle, and Lower aquifers of the Potomac-Raritan-Magothy aquifer system. In 2008, the highest water-level altitudes were observed in the Vincentown aquifer (median, 78 ft) and the lowest in the Atlantic City 800-foot sand (median, -45 ft). Persistent, regionally extensive cones of depression were present within the potentiometric surfaces of the Englishtown aquifer system in east-central New Jersey, the Wenonah-Mount Laurel aquifer in east-central and southern New Jersey, the Upper, Middle, and Lower Potomac-Raritan-Magothy aquifers in southern New Jersey, and the Atlantic City 800-foot sand in the southeastern part of the State. Cones of depression in the potentiometric surfaces of the Upper Potomac-Raritan-Magothy and the Piney Point aquifers in east-central and southwestern New Jersey had broadened and deepened since 2003.
\nDeclining water levels in many of New Jersey’s confined Coastal Plain aquifers intensified during the late 1970s and early 1980s, prompting the designation of two water-supply Critical Areas by the New Jersey Department of Environmental Protection; Critical Areas 1 and 2 continued to be of concern. To address that concern, water-level changes were assessed in nearly 800 wells measured during the fall of 2003 and 2008, and potentiometric-surface difference maps for each aquifer were constructed and evaluated. In addition, water-level trends were calculated for 77 wells for the periods 2003–8 and 1998–2008 and for 73 wells for the period 1978–2008.
\nFrom 2003 to 2008 small to moderate water-level changes were observed in many Coastal Plain aquifers in New Jersey, but in places, groundwater levels continued to decline substantially as a result of pumping. Groundwater levels in the Atlantic City 800-foot sand were lower in 2008 than in 2003; declines were greatest near pumping centers in eastern Atlantic County. Changes were less pronounced in Cape May County where water levels were, on average, 1 to 3 feet (ft) lower than those during the previous study (2003), except near Rio Grande where a localized cone of depression had formed as a result of increased withdrawals. Large and widespread declines occurred in the Piney Point aquifer in Cumberland County where water levels in and around the city of Bridgeton had fallen in excess of 100 ft since 2003, and by 30 ft to more than 60 ft in surrounding areas. Groundwater levels in the Wenonah-Mount Laurel aquifer and Englishtown aquifer system continued to recover in east-central New Jersey; however, groundwater levels in the Wenonah-Mount Laurel aquifer throughout the southern part of the State continued to decline.
\nIn the Upper Potomac-Raritan-Magothy aquifer, groundwater levels were substantially lower than in 2003 in parts of northern Ocean County but were stable in the area adjacent to Raritan Bay (Critical Area 1), and water levels continued to recover in southern New Jersey. In the Middle Potomac-Raritan-Magothy aquifer, water levels rose near Raritan Bay in Middlesex County; however, modest declines were recorded in interior areas of Monmouth and Ocean Counties. Groundwater levels in both the Middle and Lower Potomac-Raritan-Magothy aquifers were stable or rising within the regional cone of depression in Critical Area 2; beyond the critical area in southern New Jersey, however, water levels were slightly lower than in 2003.
\nAnalyses of long-term water-level changes indicate that from 1978 to 2008 downward trends occurred at 20 wells (27 percent), upward trends at 27 wells (37 percent), and trends at 26 wells (36 percent) were insubstantial. Sustained, long-term declines were observed most often at wells within the Atlantic City 800-foot sand and at wells in the Piney Point aquifer in southern New Jersey, in which rates of decline were as great as 1.4 feet/year. Upward water-level trends were observed frequently at wells screened in the Englishtown aquifer system and the Wenonah-Mount Laurel aquifer in Critical Area 1 in east-central New Jersey, and in the Potomac-Raritan-Magothy aquifer system in parts of Critical Area 1 and throughout most of Critical Area 2 in southern New Jersey. Annual rates of upward change were as great as 3.9 and 5.6 ft/yr in the Englishtown aquifer system and Wenonah-Mount Laurel aquifer, respectively. Among the units of the Potomac-Raritan-Magothy aquifer system, annual rates of recovery were greatest in the Lower aquifer.
\nFrom 1998 to 2008, downward water-level trends were observed at 22 wells (29 percent), upward trends were observed at 21 wells (27 percent), and insubstantial trends at 34 wells (44 percent). Downward trends were detected most often at wells open to the Piney Point aquifer and the Atlantic City 800-foot sand. Upward water-level trends were most frequent in wells open to the Englishtown aquifer system in Critical Area 1 and in wells within the Potomac-Raritan-Magothy aquifer system in southern New Jersey.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135232","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"DePaul, V.T., and Rosman, R., 2015, Water-level conditions in the confined aquifers of the New Jersey Coastal Plain, 2008: U.S. Geological Survey Scientific Investigations Report 2013-5232, Report: vii, 107 p.; 9 Plates: 34 inches x 44 inches or smaller, https://doi.org/10.3133/sir20135232.","productDescription":"Report: vii, 107 p.; 9 Plates: 34 inches x 44 inches or smaller","numberOfPages":"118","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-049629","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":297942,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135232.jpg"},{"id":297934,"rank":4,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate2.pdf","text":"Plate 2","size":"4.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 2","linkHelpText":"Potentiometric surface of the Atlantic City 800-foot sand, 2008"},{"id":297932,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232.pdf","text":"Report","size":"10.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":297931,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5232/"},{"id":297933,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate1.pdf","text":"Plate 1","size":"1.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 1","linkHelpText":"Potentiometric surface of the Cohansey aquifer and the Rio Grande water-bearing zone, 2008"},{"id":297936,"rank":6,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate4.pdf","text":"Plate 4","size":"3.4 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 4","linkHelpText":"Potentiometric surface of the Vincentown aquifer, 2008"},{"id":297935,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate3.pdf","text":"Plate 3","size":"4.5 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 3","linkHelpText":"Potentiometric surface of the Piney Point aquifer, 2008"},{"id":297937,"rank":7,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate5.pdf","text":"Plate 5","size":"4.2 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 5","linkHelpText":"Potentiometric surface of the Wenonah-Mount Laurel aquifer, 2008"},{"id":297938,"rank":8,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate6.pdf","text":"Plate 6","size":"4.0 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 6","linkHelpText":"Potentiometric surface of the Englishtown aquifer system, 2008"},{"id":297939,"rank":9,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate7.pdf","text":"Plate 7","size":"4.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 7","linkHelpText":"Potentiometric surface of the Upper Potomac-Raritan-Magothy aquifer, 2008"},{"id":297940,"rank":10,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate8.pdf","text":"Plate 8","size":"4.8 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 8","linkHelpText":"Potentiometric surface of the Middle and undifferentiated Potomac-Raritan-Magothy aquifer, 2008"},{"id":297941,"rank":11,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sir/2013/5232/pdf/sir2013-5232-plate9.pdf","text":"Plate 9","size":"3.9 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 9","linkHelpText":"Potentiometric surface of the Lower Potomac-Raritan-Magothy aquifer, 2008"}],"country":"United States","state":"New Jersey","otherGeospatial":"Coastal Plain","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.65185546874999,\n 38.950865400919994\n ],\n [\n -75.65185546874999,\n 40.44694705960048\n ],\n [\n -73.916015625,\n 40.44694705960048\n ],\n [\n -73.916015625,\n 38.950865400919994\n ],\n [\n -75.65185546874999,\n 38.950865400919994\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"54ddceaae4b08de9379b3934","contributors":{"authors":[{"text":"DePaul, Vincent T. 0000-0002-7977-5217 vdepaul@usgs.gov","orcid":"https://orcid.org/0000-0002-7977-5217","contributorId":2778,"corporation":false,"usgs":true,"family":"DePaul","given":"Vincent","email":"vdepaul@usgs.gov","middleInitial":"T.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518431,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rosman, Robert 0000-0001-5042-1872 rrosman@usgs.gov","orcid":"https://orcid.org/0000-0001-5042-1872","contributorId":2846,"corporation":false,"usgs":true,"family":"Rosman","given":"Robert","email":"rrosman@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":518432,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70134234,"text":"70134234 - 2015 - Pesticide concentrations in frog tissue and wetland habitats in alandscape dominated by agriculture","interactions":[],"lastModifiedDate":"2018-09-04T15:43:20","indexId":"70134234","displayToPublicDate":"2014-11-24T15:30:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Pesticide concentrations in frog tissue and wetland habitats in alandscape dominated by agriculture","docAbstract":"Habitat loss and exposure to pesticides are likely primary factors contributing to amphibian decline in agricultural landscapes. Conservation efforts have attempted to restore wetlands lost through landscape modifications to reduce contaminant loads in surface waters and providing quality habitat to wildlife. The benefits of this increased wetland area, perhaps especially for amphibians, may be negated if habitat quality is insufficient to support persistent populations. We examined the presence of pesticides and nutrients in water and sediment as indicators of habitat quality and assessed the bioaccumulation of pesticides in the tissue of two native amphibian species Pseudacris maculata (chorus frogs) and Lithobates pipiens (leopard frogs) at six wetlands (3 restored and 3 reference) in Iowa, USA. Restored wetlands are positioned on the landscape to receive subsurface tile drainage water while reference wetlands receive water from overland run-off and shallow groundwater sources. Concentrations of the pesticides frequently detected in water and sediment samples were not different between wetland types. The median concentration of atrazine in surface water was 0.2 μg/L. Reproductive abnormalities in leopard frogs have been observed in other studies at these concentrations. Nutrient concentrations were higher in the restored wetlands but lower than concentrations thought lethal to frogs. Complex mixtures of pesticides including up to 8 fungicides, some previously unreported in tissue, were detected with concentrations ranging from 0.08 to 1500 μg/kg wet weight. No significant differences in pesticide concentrations were observed between species, although concentrations tended to be higher in leopard frogs compared to chorus frogs, possibly because of differences in life histories. Our results provide information on habitat quality in restored wetlands that will assist state and federal agencies, landowners, and resource managers in identifying and implementing conservation and management actions for these and similar wetlands in agriculturally dominated landscapes.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.08.114","usgsCitation":"Smalling, K., Reeves, R., Muths, E.L., Vandever, M.W., Battaglin, W.A., Hladik, M., and Pierce, C.L., 2015, Pesticide concentrations in frog tissue and wetland habitats in alandscape dominated by agriculture: Science of the Total Environment, v. 502, p. 80-90, https://doi.org/10.1016/j.scitotenv.2014.08.114.","productDescription":"11 p.","startPage":"80","endPage":"90","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-056800","costCenters":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true},{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true},{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":472454,"rank":0,"type":{"id":41,"text":"Open Access External Repository Page"},"url":"https://lib.dr.iastate.edu/nrem_pubs/99","text":"External Repository"},{"id":296274,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Iowa","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.50439453125,\n 41.85115059465234\n ],\n [\n -94.50439453125,\n 42.28950073090457\n ],\n [\n -92.8289794921875,\n 42.28950073090457\n ],\n [\n -92.8289794921875,\n 41.85115059465234\n ],\n [\n -94.50439453125,\n 41.85115059465234\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"502","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"547ae02ae4b0da0a54dbb611","contributors":{"authors":[{"text":"Smalling, Kelly L. ksmall@usgs.gov","contributorId":1370,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","email":"ksmall@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525754,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reeves, Rebecca","contributorId":127566,"corporation":false,"usgs":false,"family":"Reeves","given":"Rebecca","affiliations":[{"id":6911,"text":"Iowa State University","active":true,"usgs":false}],"preferred":false,"id":525755,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Muths, Erin L. 0000-0002-5498-3132 muthse@usgs.gov","orcid":"https://orcid.org/0000-0002-5498-3132","contributorId":1260,"corporation":false,"usgs":true,"family":"Muths","given":"Erin","email":"muthse@usgs.gov","middleInitial":"L.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":true,"id":525756,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Vandever, Mark W. vandeverm@usgs.gov","contributorId":3004,"corporation":false,"usgs":true,"family":"Vandever","given":"Mark","email":"vandeverm@usgs.gov","middleInitial":"W.","affiliations":[{"id":291,"text":"Fort Collins Science Center","active":true,"usgs":true}],"preferred":false,"id":525757,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":525758,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":525759,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Pierce, Clay L. cpierce@usgs.gov","contributorId":525,"corporation":false,"usgs":true,"family":"Pierce","given":"Clay","email":"cpierce@usgs.gov","middleInitial":"L.","affiliations":[{"id":350,"text":"Iowa Cooperative Fish and Wildlife Research Unit","active":false,"usgs":true}],"preferred":false,"id":525760,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70126405,"text":"70126405 - 2015 - Biogeochemical environments of streambed-sediment pore waters with and without arsenic enrichment in a sedimentary rock terrain, New Jersey Piedmont, USA","interactions":[],"lastModifiedDate":"2021-09-01T15:43:36.183428","indexId":"70126405","displayToPublicDate":"2014-08-14T09:38:00","publicationYear":"2015","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3352,"text":"Science of the Total Environment","active":true,"publicationSubtype":{"id":10}},"title":"Biogeochemical environments of streambed-sediment pore waters with and without arsenic enrichment in a sedimentary rock terrain, New Jersey Piedmont, USA","docAbstract":"Release of arsenic (As) from sedimentary rocks has resulted in contamination of groundwater in aquifers of the New Jersey Piedmont Physiographic Province, USA; the contamination also may affect the quality of the region's streamwater to which groundwater discharges. Biogeochemical mechanisms involved in the release process were investigated in the streambeds of Six Mile Run and Pike Run, tributaries to the Millstone River in the Piedmont. At Six Mile Run, streambed pore water and shallow groundwater were low or depleted in oxygen, and contained As at concentrations greater than 20 μg/L. At Pike Run, oxidizing conditions were present in the streambed, and the As concentration in pore water was 2.1 μg/L. The 16S rRNA gene and the As(V) respiratory reductase gene, arrA, were amplified from DNA extracted from streambed pore water at both sites and analyzed, revealing that distinct bacterial communities that corresponded to the redox conditions were present at each site. Anaerobic enrichment cultures were inoculated with pore water from gaining reaches of the streams with acetate and As(V). As(V) was reduced by microbes to As(III) in enrichments with Six Mile Run pore water and groundwater, whereas no reduction occurred in enrichments with Pike Run pore water. Cloning and sequencing of the arrA gene indicated 8 unique operational taxonomic units (OTUs) at Six Mile Run and 11 unique OTUs at Pike Run, which may be representative of the arsenite oxidase gene arxA. Low-oxygen conditions at Six Mile Run have favored microbial As reduction and release, whereas release was inhibited by oxidizing conditions at Pike Run.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.scitotenv.2014.07.104","usgsCitation":"Mumford, A., Barringer, J., Reilly, P.A., Eberl, D.D., Blum, A.E., and Young, L.Y., 2015, Biogeochemical environments of streambed-sediment pore waters with and without arsenic enrichment in a sedimentary rock terrain, New Jersey Piedmont, USA: Science of the Total Environment, v. 505, p. 1350-1360, https://doi.org/10.1016/j.scitotenv.2014.07.104.","productDescription":"11 p.","startPage":"1350","endPage":"1360","numberOfPages":"11","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-052994","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":294329,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.5598,38.9286 ], [ -75.5598,41.3574 ], [ -73.9024,41.3574 ], [ -73.9024,38.9286 ], [ -75.5598,38.9286 ] ] ] } } ] }","volume":"505","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5422bb18e4b08312ac7cef39","contributors":{"authors":[{"text":"Mumford, Adam C.","contributorId":27307,"corporation":false,"usgs":true,"family":"Mumford","given":"Adam C.","affiliations":[],"preferred":false,"id":502013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barringer, Julia L.","contributorId":59419,"corporation":false,"usgs":true,"family":"Barringer","given":"Julia L.","affiliations":[],"preferred":false,"id":502014,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":502010,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Eberl, Dennis D.","contributorId":68388,"corporation":false,"usgs":true,"family":"Eberl","given":"Dennis","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":502015,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blum, Alex E. aeblum@usgs.gov","contributorId":2845,"corporation":false,"usgs":true,"family":"Blum","given":"Alex","email":"aeblum@usgs.gov","middleInitial":"E.","affiliations":[],"preferred":true,"id":502011,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Young, Lily Y.","contributorId":19697,"corporation":false,"usgs":true,"family":"Young","given":"Lily","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":502012,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70133712,"text":"ofr20141228 - 2014 - Population viability and connectivity of the Louisiana black bear (Ursus americanus luteolus)","interactions":[],"lastModifiedDate":"2014-11-21T13:07:54","indexId":"ofr20141228","displayToPublicDate":"2014-11-19T09:00:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1228","title":"Population viability and connectivity of the Louisiana black bear (Ursus americanus luteolus)","docAbstract":"In 1992, the U.S. Fish and Wildlife Service (USFWS) granted Ursus americanus luteolus (Louisiana black bear) threatened status under the U.S. Endangered Species Act of 1973, listing loss and fragmentation of habitat as the primary threats. A study was developed by the U.S. Geological Survey in cooperation with the University of Tennessee, the Louisiana Department of Wildlife and Fisheries, and the USFWS to estimate demographic rates and genetic structure of Louisiana black bear populations; evaluate relations between environmental and anthropogenic factors and demographic, genetic, and movement characteristics of Louisiana black bear populations; and develop data-driven stochastic population projection models to assess long-term persistence of individual subpopulations and the overall black bear population in Louisiana.
\n\n
Data were collected with non-invasive DNA sampling, live capture, winter den visits, and radio monitoring from 2002 to 2012 in the four areas supporting breeding subpopulations in Louisiana: Tensas River Basin (TRB), Upper Atchafalaya River Basin (UARB), Lower Atchafalaya River Basin (LARB), and Three Rivers Complex (TRC). Bears were live trapped and radio collared in the TRB and TRC to estimate survival and reproductive rates, deterministic matrix models were used to estimate asymptotic growth rates, and stochastic population models were used to estimate long-term viability. DNA extracted from hair collected at baited, barbed-wire enclosures in the TRB, UARB, and LARB and capture-mark-recapture (CMR) analysis based on Bayesian hierarchical modeling methods were used to estimate apparent survival (φ), per capita recruitment (γ), abundance (N), realized growth rate (λ), and long-term viability.
\n\n
From 2002 to 2012, we radio monitored 86 adult females greater than (>) 2 years old within the TRB, and 43 adult females were monitored in the TRC. The mean annual survival rate estimate ranged from 0.97 to 0.99 for the TRB and from 0.93 to 0.97 for the TRC. Fecundity and yearling recruitment in the TRB were 0.47 and 0.15, respectively, whereas estimates for the TRC were 0.37 and 0.18. Depending on estimated carrying capacity, the strength of the density dependence, level of uncertainty, and the treatment of unresolved signals, persistence probabilities for the TRC subpopulation ranged from 0.295 to 0.999.
\n\n
Estimates of N for females in the TRB ranged from 140 to 163 during 2006–12 when detection heterogeneity was assumed to follow a logistic-normal distribution (Model 1) and from 133 to 158 when a 2-point finite mixture distribution was assumed (Model 2). Annual estimates of γ ranged from 0.00 to 0.16 and from 0 to 0.22, depending on the model, and estimates of φ ranged from 0.87 to 0.93 during that period. In the UARB, estimates of N for females ranged from 25 to 44 during the study period, regardless of heterogeneity model. Estimated γ ranged from 0.00 to 0.41, and φ ranged from 0.88 to 0.90 during that period. Estimated N for females in the LARB was from 78 to 97 from 2010 to 2012 based on Model 1 and from 68 to 84 based on Model 2. Estimates of γ were 0.00 for 2010–11 regardless of heterogeneity model and ranged from 0.24 to 0.31 for 2011–12, depending on the model assumptions. We estimated φ as 0.81 for 2010–11, and from 0.84 to 0.85 for 2011–12, depending on model assumptions. We estimated Φ as 0.81 for 2010–11, ranging and from 0.84 to 0.85 for 2011–12, depending on model assumptions.
\n\n
On the basis of vital rate estimates from Model 1 of the CMR analysis, probability of persistence over 100 years for the TRB population was >0.999, 0.975, and 0.958 for process-only, 50-percent (%) credible interval (CI), and 95% CI projections, respectively. Similarly, the probability of persistence based on Model 2 was >0.999, 0.982, and 0.958. For the UARB, probabilities of persistence based on Model 1 were >0.999, 0.971, and 0.958 for process-only, 50% CI, and 95% CI projections, respectively, and 0.993, 0.929, and 0.849 for Model 2. Using the telemetry and reproductive data from the TRC, probabilities of persistence were greater than or equal to 0.95 only for projections based on the most optimistic set of assumptions. Assuming that the dynamics of the TRB, TRC, and UARB populations were independent and using the most pessimistic population-specific persistence probabilities (that is, 0.958, 0.295, and 0.849, respectively), the overall probability of persistence for bears in that population system was 0.996.
\n\n
Genetic methods were used to estimate interchange and structure between subpopulations in Louisiana and in Minnesota (MINN); Mississippi (MISS); and the White River Basin (WRB), Arkansas. Results from the all-population and the WRB–TRB clustering analyses indicate at least five genetically distinct populations. The genetic clustering and migrant analyses combined with capture data provided direct evidence that interchange has occurred from the WRB to the TRB and MISS, from the TRB to MISS, from the UARB to the TRC, and from the TRC to the TRB. Indirect evidence that interchange occurred from the UARB to the TRC and from the UARB to the TRB by way of the TRC was documented. No evidence was found of interchange from any of the subpopulations to the WRB, UARB, or LARB.
\n\n
From April 2010 to April 2012, global positioning system (GPS) radio collars were placed on 8 female and 23 male bears ranging from 1 to 11 years of age to develop a step-selection function model to predict routes and rates of interchange. For both males and females, the probability of a step being selected increased as the distance to natural land cover and agriculture at the end of the step decreased and as distance from roads at the end of a step increased. Of 4,000 correlated random walks, the least potential interchange was between TRB and TRC and between UARB and LARB, but the relative potential for natural interchange between UARB and TRC was high. The step-selection model predicted that dispersals between the LARB and UARB populations were infrequent but possible for males and nearly nonexistent for females. No evidence of natural female dispersal between subpopulations has been documented thus far, which is also consistent with model predictions.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141228","collaboration":"Prepared in cooperation with the University of Tennessee, Louisiana Department of Wildlife and Fisheries, and the U.S. Fish and Wildlife Service","usgsCitation":"Laufenberg, J.S., and Clark, J.D., 2014, Population viability and connectivity of the Louisiana black bear (Ursus americanus luteolus): U.S. Geological Survey Open-File Report 2014-1228, viii, 104 p., https://doi.org/10.3133/ofr20141228.","productDescription":"viii, 104 p.","numberOfPages":"114","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-060751","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":296182,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1228"},{"id":296184,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1228/pdf/ofr2014-1228.pdf","size":"4.61 MB","linkFileType":{"id":1,"text":"pdf"}},{"id":296186,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141228.jpg"}],"country":"United States","state":"Louisiana","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -94.04296874999999,\n 28.8927788645183\n ],\n [\n -94.04296874999999,\n 33.02708758002874\n ],\n [\n -88.9727783203125,\n 33.02708758002874\n ],\n [\n -88.9727783203125,\n 28.8927788645183\n ],\n [\n -94.04296874999999,\n 28.8927788645183\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"546db11fe4b0fc7976bf1e3f","contributors":{"authors":[{"text":"Laufenberg, Jared S.","contributorId":28899,"corporation":false,"usgs":false,"family":"Laufenberg","given":"Jared","email":"","middleInitial":"S.","affiliations":[{"id":7006,"text":"Department of Forestry, Wildlife and Fisheries, University of Tennessee","active":true,"usgs":false}],"preferred":false,"id":525420,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Joseph D. 0000-0002-8547-8112 jclark1@usgs.gov","orcid":"https://orcid.org/0000-0002-8547-8112","contributorId":2265,"corporation":false,"usgs":true,"family":"Clark","given":"Joseph","email":"jclark1@usgs.gov","middleInitial":"D.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true},{"id":481,"text":"Northern Rocky Mountain Science Center","active":true,"usgs":true}],"preferred":true,"id":525419,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70110601,"text":"sim3299 - 2014 - Flood-inundation maps for the Saddle River in Ho-Ho-Kus Borough, the Village of Ridgewood, and Paramus Borough, New Jersey, 2013","interactions":[],"lastModifiedDate":"2014-08-14T09:58:55","indexId":"sim3299","displayToPublicDate":"2014-08-14T09:46:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":333,"text":"Scientific Investigations Map","code":"SIM","onlineIssn":"2329-132X","printIssn":"2329-1311","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"3299","title":"Flood-inundation maps for the Saddle River in Ho-Ho-Kus Borough, the Village of Ridgewood, and Paramus Borough, New Jersey, 2013","docAbstract":"Digital flood-inundation maps for a 5.4-mile reach of the Saddle River in New Jersey from Hollywood Avenue in Ho-Ho-Kus Borough downstream through the Village of Ridgewood and Paramus Borough to the confluence with Hohokus Brook in the Village of Ridgewood were created by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection (NJDEP). The inundation maps, which can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Saddle River at Ridgewood, New Jersey (station 01390500). Current conditions for estimating near real-time areas of inundation using USGS streamgage information may be obtained on the Internet at http://waterdata.usgs.gov/nwis/uv?site_no=01390500 or at the National Weather Services (NWS) Advanced Hydrologic Prediction Service (AHPS) at http://water.weather.gov/ahps2/hydrograph.php?wfo=okx&gage=rwdn4.
\nIn this study, flood profiles were computed for the stream reach by means of a one-dimensional step-backwater model. The model was calibrated by using the most current stage-discharge relation (March 11, 2011) at the USGS streamgage 01390500, Saddle River at Ridgewood, New Jersey. The hydraulic model was then used to compute 10 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum, North American Vertical Datum of 1988 (NAVD 88), and ranging from 5 ft, the NWS “action and minor flood stage”, to 14 ft, which is the maximum extent of the stage-discharge rating and 0.6 ft higher than the highest recorded water level at the streamgage. The simulated water-surface profiles were then combined with a geographic information system 3-meter (9.84-ft) digital elevation model derived from Light Detection and Ranging (lidar) data in order to delineate the area flooded at each water level.
\nThe availability of these maps along with information on the Internet regarding current stage from the USGS streamgage provides emergency management personnel and residents with information that is critical for flood response activities, such as evacuations and road closures as well as for post-flood recovery efforts.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sim3299","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Watson, K.M., and Niemoczynski, M.J., 2014, Flood-inundation maps for the Saddle River in Ho-Ho-Kus Borough, the Village of Ridgewood, and Paramus Borough, New Jersey, 2013: U.S. Geological Survey Scientific Investigations Map 3299, Pamphlet: v, 10 p.; 10 Plates: 17.00 x 22.00 inches; Downloads directory, https://doi.org/10.3133/sim3299.","productDescription":"Pamphlet: v, 10 p.; 10 Plates: 17.00 x 22.00 inches; Downloads directory","numberOfPages":"20","onlineOnly":"Y","temporalStart":"2013-01-01","temporalEnd":"2013-12-31","ipdsId":"IP-055163","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":292169,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sim3299.jpg"},{"id":292155,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sim/3299/"},{"id":292156,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sim/3299/downloads/sim3299-pamphlet.pdf"},{"id":292157,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_5_0.pdf"},{"id":292158,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_6_0.pdf"},{"id":292159,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_7_0.pdf"},{"id":292160,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_8_0.pdf"},{"id":292161,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_9_0.pdf"},{"id":292162,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_10_0.pdf"},{"id":292163,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_11_0.pdf"},{"id":292164,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_12_0.pdf"},{"id":292165,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_13_0.pdf"},{"id":292166,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/sim/3299/downloads/map_sheets/sim3299_14_0.pdf"},{"id":292167,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sim/3299/downloads"}],"datum":"North American Datum of 1983","country":"United States","state":"New Jersey","otherGeospatial":"Ho-ho-kus Borough;Paramus Borough;Saddle River;Village Of Redwood","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.116667,40.95 ], [ -74.116667,41.0 ], [ -74.066667,41.0 ], [ -74.066667,40.95 ], [ -74.116667,40.95 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53edbf2fe4b0f61b386c825e","contributors":{"authors":[{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494087,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Niemoczynski, Michal J. 0000-0003-0880-7354 mniemocz@usgs.gov","orcid":"https://orcid.org/0000-0003-0880-7354","contributorId":5840,"corporation":false,"usgs":true,"family":"Niemoczynski","given":"Michal","email":"mniemocz@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494088,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70114985,"text":"ds867 - 2014 - Characterization of selected bed-sediment-bound organic and inorganic contaminants and toxicity, Barnegat Bay and major tributaries, New Jersey, 2012","interactions":[],"lastModifiedDate":"2014-08-07T16:11:35","indexId":"ds867","displayToPublicDate":"2014-08-07T15:43:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"867","title":"Characterization of selected bed-sediment-bound organic and inorganic contaminants and toxicity, Barnegat Bay and major tributaries, New Jersey, 2012","docAbstract":"A study of bed-sediment toxicity and organic and inorganic contaminants was conducted by the U.S. Geological Survey (USGS) in cooperation with the New Jersey Department of Environmental Protection (NJDEP). Bed-sediment samples were collected once from 22 sites in Barnegat Bay and selected major tributaries during August–September 2012 and analyzed for toxicity and a suite of organic and inorganic contaminants by the USGS and the U.S. Army Corps of Engineers. Sampling sites were selected to coincide with an existing water-quality monitoring network used by the NJDEP and others in order to evaluate water-quality conditions in Barnegat Bay and the surrounding watershed. Two of the 22 sites are reference sites and are within or adjacent to the study area; bed-sediment samples from reference sites allow for comparisons of results for the Barnegat Bay watershed to results from less affected settings within the region. Toxicity testing was conducted by exposing the estuarine amphipod Leptocheirus plumulosus and the freshwater amphipod Hyalella azteca to sediments for 28 days, and the percent survival, difference in biomass, and individual dry weights were measured. Reproductive effects also were evaluated for estuarine samples. Bed-sediment samples from four sites within Barnegat Bay were subjected to a toxicity identification evaluation to determine probable causes of toxicity. Samples were analyzed for a suite of 94 currently-used pesticides, 21 legacy pesticides, 24 trace elements, 40 polycyclic aromatic hydrocarbons, 7 polychlorinated biphenyls (PCBs) as Arochlor mixtures, and 145 individual PCB congeners. Concentrations of detected compounds were compared to sediment-quality guidelines, where appropriate.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds867","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Romanok, K., Reilly, T.J., Lopez, A.R., Trainor, J.J., Hladik, M., Stanley, J.K., and Farrar, D., 2014, Characterization of selected bed-sediment-bound organic and inorganic contaminants and toxicity, Barnegat Bay and major tributaries, New Jersey, 2012: U.S. Geological Survey Data Series 867, Report: x, 51 p.; Appendix 1, https://doi.org/10.3133/ds867.","productDescription":"Report: x, 51 p.; Appendix 1","numberOfPages":"66","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"2012-08-01","temporalEnd":"2012-09-30","ipdsId":"IP-051089","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":291867,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds867.jpg"},{"id":291865,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0867/pdf/ds867.pdf"},{"id":291866,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/ds/0867/pdf/ds867-appendix1.pdf"},{"id":291864,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0867/"}],"datum":"North American Datum of 1983","country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.833333,39.333333 ], [ -74.833333,40.25 ], [ -74.0,40.25 ], [ -74.0,39.333333 ], [ -74.833333,39.333333 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53e484b2e4b0fff4042801c1","contributors":{"authors":[{"text":"Romanok, Kristin M.","contributorId":6523,"corporation":false,"usgs":true,"family":"Romanok","given":"Kristin M.","affiliations":[],"preferred":false,"id":495457,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":495455,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lopez, Anthony R.","contributorId":21471,"corporation":false,"usgs":true,"family":"Lopez","given":"Anthony","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":495458,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Trainor, John J. 0000-0002-6603-2684 jtrainor@usgs.gov","orcid":"https://orcid.org/0000-0002-6603-2684","contributorId":5408,"corporation":false,"usgs":true,"family":"Trainor","given":"John","email":"jtrainor@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":495456,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":495454,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Stanley, Jacob K.","contributorId":96590,"corporation":false,"usgs":true,"family":"Stanley","given":"Jacob","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":495460,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Farrar, Daniel","contributorId":21871,"corporation":false,"usgs":true,"family":"Farrar","given":"Daniel","email":"","affiliations":[],"preferred":false,"id":495459,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70101651,"text":"sir20145004 - 2014 - Regional regression equations for the estimation of selected monthly low-flow duration and frequency statistics at ungaged sites on streams in New Jersey","interactions":[],"lastModifiedDate":"2014-06-30T09:51:26","indexId":"sir20145004","displayToPublicDate":"2014-06-30T09:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5004","title":"Regional regression equations for the estimation of selected monthly low-flow duration and frequency statistics at ungaged sites on streams in New Jersey","docAbstract":"Regional regression equations were developed for estimating monthly flow-duration and monthly low-flow frequency statistics for ungaged streams in Coastal Plain and non-coastal regions of New Jersey for baseline and current land- and water-use conditions. The equations were developed to estimate 87 different streamflow statistics, which include the monthly 99-, 90-, 85-, 75-, 50-, and 25-percentile flow-durations of the minimum 1-day daily flow; the August–September 99-, 90-, and 75-percentile minimum 1-day daily flow; and the monthly 7-day, 10-year (M7D10Y) low-flow frequency. These 87 streamflow statistics were computed for 41 continuous-record streamflow-gaging stations (streamgages) with 20 or more years of record and 167 low-flow partial-record stations in New Jersey with 10 or more streamflow measurements.
\nThe regression analyses used to develop equations to estimate selected streamflow statistics were performed by testing the relation between flow-duration statistics and low-flow frequency statistics for 32 basin characteristics (physical characteristics, land use, surficial geology, and climate) at the 41 streamgages and 167 low-flow partial-record stations. The regression analyses determined drainage area, soil permeability, average April precipitation, average June precipitation, and percent storage (water bodies and wetlands) were the significant explanatory variables for estimating the selected flow-duration and low-flow frequency statistics.
\nStreamflow estimates were computed for two land- and water-use conditions in New Jersey—land- and water-use during the baseline period of record (defined as the years a streamgage had little to no change in development and water use) and current land- and water-use conditions (1989–2008)—for each selected station using data collected through water year 2008. The baseline period of record is representative of a period when the basin was unaffected by change in development. The current period is representative of the increased development of the last 20 years (1989–2008). The two different land- and water-use conditions were used as surrogates for development to determine whether there have been changes in low-flow statistics as a result of changes in development over time. The State was divided into two low-flow regression regions, the Coastal Plain and the non-coastal region, in order to improve the accuracy of the regression equations. The left-censored parametric survival regression method was used for the analyses to account for streamgages and partial-record stations that had zero flow values for some of the statistics. The average standard error of estimate for the 348 regression equations ranged from 16 to 340 percent. These regression equations and basin characteristics are presented in the U.S. Geological Survey (USGS) StreamStats Web-based geographic information system application. This tool allows users to click on an ungaged site on a stream in New Jersey and get the estimated flow-duration and low-flow frequency statistics. Additionally, the user can click on a streamgage or partial-record station and get the “at-site” streamflow statistics.
\nThe low-flow characteristics of a stream ultimately affect the use of the stream by humans. Specific information on the low-flow characteristics of streams is essential to water managers who deal with problems related to municipal and industrial water supply, fish and wildlife conservation, and dilution of wastewater.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145004","issn":"2328-0328","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Watson, K.M., and McHugh, A.R., 2014, Regional regression equations for the estimation of selected monthly low-flow duration and frequency statistics at ungaged sites on streams in New Jersey: U.S. Geological Survey Scientific Investigations Report 2014-5004, Report: ix, 58 p.; 6 Appendixes, https://doi.org/10.3133/sir20145004.","productDescription":"Report: ix, 58 p.; 6 Appendixes","numberOfPages":"73","onlineOnly":"Y","ipdsId":"IP-043031","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":289177,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145004.jpg"},{"id":289171,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_1_obs_est_noncoastbaseline.xlsx"},{"id":289172,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_2_obs_est_coastbaseline.xlsx"},{"id":289173,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_3_obs_est_noncoastcurrent.xlsx"},{"id":289170,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/sir2014-5004.pdf"},{"id":289174,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_4_obs_est_coastcurrent.xlsx"},{"id":289175,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_5_base_vs_current_noncoastal.xlsx"},{"id":289176,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/sir/2014/5004/support/appendix_6_base_vs_current_coastal.xlsx"},{"id":286245,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5004/"}],"scale":"24000","projection":"Universal Transverse Mercator projection","datum":"North American Datum of 1983","country":"United States","state":"New Jersey","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.5,39.0 ], [ -75.5,41.25 ], [ -74.0,41.25 ], [ -74.0,39.0 ], [ -75.5,39.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53b278d0e4b07b8813a55457","contributors":{"authors":[{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":492722,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"McHugh, Amy R.","contributorId":33222,"corporation":false,"usgs":true,"family":"McHugh","given":"Amy","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":492723,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70111602,"text":"sir20145072 - 2014 - Concentrations, loads, and yields of total nitrogen and total phosphorus in the Barnegat Bay-Little Egg Harbor watershed, New Jersey, 1989-2011, at multiple spatial scales","interactions":[],"lastModifiedDate":"2014-06-05T14:55:51","indexId":"sir20145072","displayToPublicDate":"2014-06-05T14:39:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-5072","title":"Concentrations, loads, and yields of total nitrogen and total phosphorus in the Barnegat Bay-Little Egg Harbor watershed, New Jersey, 1989-2011, at multiple spatial scales","docAbstract":"Concentrations, loads, and yields of nutrients (total nitrogen and total phosphorus) were calculated for the Barnegat Bay-Little Egg Harbor (BB-LEH) watershed for 1989–2011 at annual and seasonal (growing and nongrowing) time scales. Concentrations, loads, and yields were calculated at three spatial scales: for each of the 81 subbasins specified by 14-digit hydrologic unit codes (HUC-14s); for each of the three BB-LEH watershed segments, which coincide with segmentation of the BB-LEH estuary; and for the entire BB-LEH watershed. Base-flow and runoff values were calculated separately and were combined to provide total values.
\nAvailable surface-water-quality data for all streams in the BB-LEH watershed for 1980–2011 were compiled from existing datasets and quality assured. Precipitation and streamflow data were used to distinguish between water-quality samples that were collected during base-flow conditions and those that were collected during runoff conditions. Base-flow separation of hydrographs of six streams in the BB-LEH watershed indicated that base flow accounts for about 72 to 94 percent of total flow in streams in the watershed.
\nBase-flow mean concentrations (BMCs) of total nitrogen (TN) and total phosphorus (TP) for each HUC-14 subbasin were calculated from relations between land use and measured base-flow concentrations. These relations were developed from multiple linear regression models determined from water-quality data collected at sampling stations in the BB-LEH watershed under base-flow conditions and land-use percentages in the contributing drainage basins. The total watershed base-flow volume was estimated for each year and season from continuous streamflow records for 1989–2011 and relations between precipitation and streamflow during base-flow conditions. For each year and season, the base-flow load and yield were then calculated for each HUC-14 subbasin from the BMCs, total base-flow volume, and drainage area.
\nThe watershed-loading application PLOAD was used to calculate runoff concentrations, loads, and yields of TN and TP at the HUC-14 scale. Flow-weighted event-mean concentrations (EMCs) for runoff were developed for each major land-use type in the watershed using storm sampling data from four streams in the BB-LEH watershed and three streams outside the watershed. The EMCs were developed separately for the growing and nongrowing seasons, and were typically greater during the growing season. The EMCs, along with annual and seasonal precipitation amounts and percent imperviousness associated with land-use types, were used as inputs to PLOAD to calculate annual and seasonal runoff concentrations, loads, and yields at the HUC-14 scale.
\nOver the period of study (1989–2011), total surface-water loads (base flow plus runoff) for the entire BB-LEH watershed for TN ranged from about 455,000 kilograms (kg) as N (1995) to 857,000 kg as N (2010). For TP, total loads for the watershed ranged from about 17,000 (1995) to 32,000 kg as P (2010). On average, the north segment accounted for about 66 percent of the annual TN load and 63 percent of the annual TP load, and the central and south segments each accounted for less than 20 percent of the nutrient loads. Loads and yields were strongly associated with precipitation patterns, ensuing hydrologic conditions, and land use. HUC-14 subbasins with the highest yields of nutrients are concentrated in the northern part of the watershed, and have the highest percentages of urban or agricultural land use. Subbasins with the lowest TN and TP yields are dominated by forest cover.
\nPercentages of turf (lawn) cover and nonturf cover were estimated for the watershed. Of the developed land in the watershed, nearly one quarter (24.9 percent) was mapped as turf cover. Because there is a strong relation between percent turf and percent developed land, percent turf in the watershed typically increases with percent development, and the amount of development can be considered a reasonable predictor of the amount of turf cover in the watershed. In the BB-LEH watershed, calculated concentrations of TN and TP were greater for developed–turf areas than for developed–nonturf areas, which, in turn, were greater than those for undeveloped areas.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20145072","collaboration":"Prepared in cooperation with the New England Interstate Water Pollution Control Commission","usgsCitation":"Baker, R.J., Wieben, C.M., Lathrop, R.G., and Nicholson, R.S., 2014, Concentrations, loads, and yields of total nitrogen and total phosphorus in the Barnegat Bay-Little Egg Harbor watershed, New Jersey, 1989-2011, at multiple spatial scales: U.S. Geological Survey Scientific Investigations Report 2014-5072, Report: vii, 64 p.; Table 13, https://doi.org/10.3133/sir20145072.","productDescription":"Report: vii, 64 p.; Table 13","numberOfPages":"76","onlineOnly":"Y","additionalOnlineFiles":"Y","temporalStart":"1989-01-01","temporalEnd":"2011-12-31","ipdsId":"IP-039063","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":288123,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20145072.jpg"},{"id":288120,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2014/5072/"},{"id":288122,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2014/5072/pdf/sir2014-5072.pdf"},{"id":288121,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/sir/2014/5072/table/sir2014-5072_table13-loads-huc.xlsx"}],"country":"United States","state":"New Jersey","otherGeospatial":"Barnegat Bay;Little Egg Harbor","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.6007,39.4669 ], [ -74.6007,40.2311 ], [ -73.9678,40.2311 ], [ -73.9678,39.4669 ], [ -74.6007,39.4669 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5391834fe4b06f80638265a0","contributors":{"authors":[{"text":"Baker, Ronald J. rbaker@usgs.gov","contributorId":1436,"corporation":false,"usgs":true,"family":"Baker","given":"Ronald","email":"rbaker@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wieben, Christine M. 0000-0001-5825-5119 cwieben@usgs.gov","orcid":"https://orcid.org/0000-0001-5825-5119","contributorId":4270,"corporation":false,"usgs":true,"family":"Wieben","given":"Christine","email":"cwieben@usgs.gov","middleInitial":"M.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494376,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lathrop, Richard G.","contributorId":63727,"corporation":false,"usgs":true,"family":"Lathrop","given":"Richard","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":494377,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nicholson, Robert S. rnichol@usgs.gov","contributorId":2283,"corporation":false,"usgs":true,"family":"Nicholson","given":"Robert","email":"rnichol@usgs.gov","middleInitial":"S.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":494375,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70102823,"text":"ofr20141020 - 2014 - Transmissivity and storage coefficient estimates from slug tests, Naval Air Warfare Center, West Trenton, New Jersey","interactions":[],"lastModifiedDate":"2020-05-28T20:11:46.424521","indexId":"ofr20141020","displayToPublicDate":"2014-06-02T10:28:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1020","title":"Transmissivity and storage coefficient estimates from slug tests, Naval Air Warfare Center, West Trenton, New Jersey","docAbstract":"Slug tests were conducted on 56 observation wells open to bedrock at the former Naval Air Warfare Center (NAWC) in West Trenton, New Jersey. Aquifer transmissivity (T) and storage coefficient (S) values for most wells were estimated from slug-test data using the Cooper-Bredehoeft-Papadopulos method. Test data from three wells exhibited fast, underdamped water-level responses and were analyzed with the Butler high-K method. The range of T at NAWC was approximately 0.07 to 10,000 square feet per day. At 11 wells, water levels did not change measurably after 20 minutes following slug insertion; transmissivity at these 11 wells was estimated to be less than 0.07 square feet per day. The range of S was approximately 10-10 to 0.01, the mode being 10-10. Water-level responses for tests at three wells fit poorly to the type curves of both methods, indicating that these methods were not appropriate for adequately estimating T and S from those data.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141020","collaboration":"Toxic Substances Hydrology Program. Prepared in cooperation with U.S. Department of the Navy","usgsCitation":"Fiore, A.R., 2014, Transmissivity and storage coefficient estimates from slug tests, Naval Air Warfare Center, West Trenton, New Jersey: U.S. Geological Survey Open-File Report 2014-1020, Report: HTML document; Table 1, https://doi.org/10.3133/ofr20141020.","productDescription":"Report: HTML document; Table 1","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-049724","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":287950,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2014/1020/report/table/table1.xlsx"},{"id":287949,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1020/report/title.html"},{"id":287948,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1020/"},{"id":375134,"rank":4,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2014/1020/images/coverthb.jpg"}],"country":"United States","state":"New Jersey","city":"West Trenton","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.819974,40.264976 ], [ -74.819974,40.275041 ], [ -74.804359,40.275041 ], [ -74.804359,40.264976 ], [ -74.819974,40.264976 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53ae787ae4b0abf75cf2d6b7","contributors":{"authors":[{"text":"Fiore, Alex R. 0000-0002-0986-5225 afiore@usgs.gov","orcid":"https://orcid.org/0000-0002-0986-5225","contributorId":4977,"corporation":false,"usgs":true,"family":"Fiore","given":"Alex","email":"afiore@usgs.gov","middleInitial":"R.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":493028,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70107909,"text":"70107909 - 2014 - Unsaturated flow characterization utilizing water content data collected within the capillary fringe","interactions":[],"lastModifiedDate":"2014-05-21T10:06:24","indexId":"70107909","displayToPublicDate":"2014-05-21T10:01:00","publicationYear":"2014","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":686,"text":"Air, Soil and Water Research","active":true,"publicationSubtype":{"id":10}},"title":"Unsaturated flow characterization utilizing water content data collected within the capillary fringe","docAbstract":"An analysis is presented to determine unsaturated zone hydraulic parameters based on detailed water content profiles, which can be readily acquired during hydrological investigations. Core samples taken through the unsaturated zone allow for the acquisition of gravimetrically determined water content data as a function of elevation at 3 inch intervals. This dense spacing of data provides several measurements of the water content within the capillary fringe, which are utilized to determine capillary pressure function parameters via least-squares calibration. The water content data collected above the capillary fringe are used to calculate dimensionless flow as a function of elevation providing a snapshot characterization of flow through the unsaturated zone. The water content at a flow stagnation point provides an in situ estimate of specific yield. In situ determinations of capillary pressure function parameters utilizing this method, together with particle-size distributions, can provide a valuable supplement to data libraries of unsaturated zone hydraulic parameters. The method is illustrated using data collected from plots within an agricultural research facility in Wisconsin.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Air, Soil and Water Research","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Libertas Academica","doi":"10.4137/ASWR.S13282","usgsCitation":"Baehr, A., and Reilly, T.J., 2014, Unsaturated flow characterization utilizing water content data collected within the capillary fringe: Air, Soil and Water Research, v. 7, p. 47-52, https://doi.org/10.4137/ASWR.S13282.","productDescription":"6 p.","startPage":"47","endPage":"52","numberOfPages":"6","ipdsId":"IP-043817","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":472986,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.4137/aswr.s13282","text":"Publisher Index Page"},{"id":287442,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":287395,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.4137/ASWR.S13282"}],"volume":"7","noUsgsAuthors":false,"publicationDate":"2014-03-12","publicationStatus":"PW","scienceBaseUri":"537dbcd0e4b05ed6215c0795","contributors":{"authors":[{"text":"Baehr, Arthur","contributorId":56979,"corporation":false,"usgs":true,"family":"Baehr","given":"Arthur","affiliations":[],"preferred":false,"id":493922,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true}],"preferred":true,"id":493921,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70059074,"text":"ds811 - 2014 - Occurrence of pesticides in groundwater and sediments and mineralogy of sediments and grain coatings underlying the Rutgers Agricultural Research and Extension Center, Upper Deerfield, New Jersey, 2007","interactions":[],"lastModifiedDate":"2026-05-28T21:21:58.674208","indexId":"ds811","displayToPublicDate":"2014-05-06T14:15:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":310,"text":"Data Series","code":"DS","onlineIssn":"2327-638X","printIssn":"2327-0271","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"811","title":"Occurrence of pesticides in groundwater and sediments and mineralogy of sediments and grain coatings underlying the Rutgers Agricultural Research and Extension Center, Upper Deerfield, New Jersey, 2007","docAbstract":"Water and sediment samples were collected from June through October 2007 from seven plots at the Rutgers Agricultural Research and Extension Center in Upper Deerfield, New Jersey, and analyzed for a suite of pesticides (including fungicides) and other physical and chemical parameters (including sediment mineralogy) by the U.S. Geological Survey. Plots were selected for inclusion in this study on the basis of the crops grown and the pesticides used. Forty-one pesticides were detected in 14 water samples; these include 5 fungicides, 13 herbicides, 1 insecticide, and 22 pesticide degradates. The following pesticides and pesticide degradates were detected in 50 percent or more of the groundwater samples: 1-amide-4-hydroxy-chorothalonil, alachlor sulfonic acid, metolachlor oxanilic acid, metolachlor sulfonic acid, metalaxyl, and simazine. Dissolved-pesticide concentrations ranged from below their instrumental limit of detection to 36 micrograms per liter (for metolachlor sulfonic acid, a degradate of the herbicide metolachlor). The total number of pesticides found in groundwater samples ranged from 0 to 29. Fourteen pesticides were detected in sediment samples from continuous cores collected within each of the seven sampled plots; these include 4 fungicides, 2 herbicides, and 7 pesticide degradates. Pesticide concentrations in sediment samples ranged from below their instrumental limit of detection to 34.2 nanograms per gram (for azoxystrobin). The total number of pesticides found in sediment samples ranged from 0 to 8. Quantitative whole-rock and grain-coating mineralogy of sediment samples were determined by x-ray diffraction. Whole-rock analysis indicated that sediments were predominantly composed of quartz. The materials coating the quartz grains were removed to allow quantification of the trace mineral phases present.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ds811","usgsCitation":"Reilly, T.J., Smalling, K., Meyer, M.T., Sandstrom, M.W., Hladik, M., Boehlke, A., Fishman, N.S., Battaglin, W.A., and Kuivila, K., 2014, Occurrence of pesticides in groundwater and sediments and mineralogy of sediments and grain coatings underlying the Rutgers Agricultural Research and Extension Center, Upper Deerfield, New Jersey, 2007: U.S. Geological Survey Data Series 811, x, 53 p., https://doi.org/10.3133/ds811.","productDescription":"x, 53 p.","numberOfPages":"68","onlineOnly":"Y","ipdsId":"IP-043852","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":504835,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_100017.htm","linkFileType":{"id":5,"text":"html"}},{"id":286939,"rank":3,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds811.jpg"},{"id":286933,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/0811/"},{"id":286934,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/ds/0811/pdf/ds811.pdf"}],"country":"United States","state":"New Jersey","city":"Upper Deerfield","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -75.240104,39.499658 ], [ -75.240104,39.53987 ], [ -75.17473,39.53987 ], [ -75.17473,39.499658 ], [ -75.240104,39.499658 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5369f652e4b063fb73c0a9f1","contributors":{"authors":[{"text":"Reilly, Timothy J. 0000-0002-2939-3050 tjreilly@usgs.gov","orcid":"https://orcid.org/0000-0002-2939-3050","contributorId":1858,"corporation":false,"usgs":true,"family":"Reilly","given":"Timothy","email":"tjreilly@usgs.gov","middleInitial":"J.","affiliations":[{"id":34983,"text":"Contaminant Biology Program","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487466,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Smalling, Kelly L.","contributorId":16105,"corporation":false,"usgs":true,"family":"Smalling","given":"Kelly L.","affiliations":[],"preferred":false,"id":487467,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Meyer, Michael T. 0000-0001-6006-7985 mmeyer@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-7985","contributorId":866,"corporation":false,"usgs":true,"family":"Meyer","given":"Michael","email":"mmeyer@usgs.gov","middleInitial":"T.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":487463,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sandstrom, Mark W. 0000-0003-0006-5675 sandstro@usgs.gov","orcid":"https://orcid.org/0000-0003-0006-5675","contributorId":706,"corporation":false,"usgs":true,"family":"Sandstrom","given":"Mark","email":"sandstro@usgs.gov","middleInitial":"W.","affiliations":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":503,"text":"Office of Water Quality","active":true,"usgs":true},{"id":5046,"text":"Branch of Analytical Serv (NWQL)","active":true,"usgs":true},{"id":37464,"text":"WMA - Laboratory & Analytical Services Division","active":true,"usgs":true}],"preferred":true,"id":487461,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hladik, Michelle 0000-0002-0891-2712 mhladik@usgs.gov","orcid":"https://orcid.org/0000-0002-0891-2712","contributorId":784,"corporation":false,"usgs":true,"family":"Hladik","given":"Michelle","email":"mhladik@usgs.gov","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487462,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Boehlke, Adam R. 0000-0003-4980-431X","orcid":"https://orcid.org/0000-0003-4980-431X","contributorId":23835,"corporation":false,"usgs":true,"family":"Boehlke","given":"Adam R.","affiliations":[],"preferred":false,"id":487468,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Fishman, Neil S.","contributorId":106464,"corporation":false,"usgs":true,"family":"Fishman","given":"Neil","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":487469,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Battaglin, William A. 0000-0001-7287-7096 wbattagl@usgs.gov","orcid":"https://orcid.org/0000-0001-7287-7096","contributorId":1527,"corporation":false,"usgs":true,"family":"Battaglin","given":"William","email":"wbattagl@usgs.gov","middleInitial":"A.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487465,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kuivila, Kathryn 0000-0001-7940-489X kkuivila@usgs.gov","orcid":"https://orcid.org/0000-0001-7940-489X","contributorId":1367,"corporation":false,"usgs":true,"family":"Kuivila","given":"Kathryn ","email":"kkuivila@usgs.gov","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":487464,"contributorType":{"id":1,"text":"Authors"},"rank":9}]}} ,{"id":70093742,"text":"ofr20141027 - 2014 - Monitoring of wild fish health at selected sites in the Great Lakes Basin: methods and preliminary results","interactions":[],"lastModifiedDate":"2014-02-28T09:56:00","indexId":"ofr20141027","displayToPublicDate":"2014-02-28T09:44:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":330,"text":"Open-File Report","code":"OFR","onlineIssn":"2331-1258","printIssn":"0196-1497","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2014-1027","title":"Monitoring of wild fish health at selected sites in the Great Lakes Basin: methods and preliminary results","docAbstract":"During fall 2010 and spring 2011, a total of 119 brown bullhead (Ameiurus nebulosus), 136 white sucker (Catostomus commersoni), 73 smallmouth bass (Micropterus dolomieu), and 59 largemouth bass (M. salmoides) were collected from seven Great Lakes Basin Areas of Concern and one Reference Site. Comprehensive fish health assessments were conducted in order to document potential adverse affects from exposure to complex chemical mixtures. Fish were necropsied on site, blood samples obtained, pieces of liver, spleen, kidney, gill and any abnormalities placed in fixative for histopathology. Liver samples were saved for gene expression analysis and otoliths were removed for aging. A suite of fish health indicators was developed and implemented for site comparisons and to document seasonal effects and species differences in response to environmental conditions. Organism level (grossly visible lesions, condition factor), tissue level (microscopic pathology, organosomatic indices, micronuclei, and other nuclear abnormalities), plasma factors (reproductive steroid hormones, vitellogenin), and molecular (gene expression) indicators were included. This report describes the methods and preliminary results.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20141027","collaboration":"Prepared in Cooperation with the U.S. Fish and Wildlife Service","usgsCitation":"Blazer, V., Mazik, P.M., Iwanowicz, L., Braham, R., Hahn, C., Walsh, H.L., and Sperry, A., 2014, Monitoring of wild fish health at selected sites in the Great Lakes Basin: methods and preliminary results: U.S. Geological Survey Open-File Report 2014-1027, Report: vi, 31 p.; Appendix 1, https://doi.org/10.3133/ofr20141027.","productDescription":"Report: vi, 31 p.; Appendix 1","numberOfPages":"40","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-053600","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":282943,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr20141027.jpg"},{"id":282940,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2014/1027/"},{"id":282941,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2014/1027/pdf/of2014-1027.pdf"},{"id":282942,"type":{"id":3,"text":"Appendix"},"url":"https://pubs.usgs.gov/of/2014/1027/appendix/ofr2014-1027_appendix.xlsx"}],"country":"United States","otherGeospatial":"Great Lakes Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -94.44,39.45 ], [ -94.44,51.54 ], [ -73.25,51.54 ], [ -73.25,39.45 ], [ -94.44,39.45 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd6823e4b0b29085101d69","contributors":{"authors":[{"text":"Blazer, Vicki 0000-0001-6647-9614 vblazer@usgs.gov","orcid":"https://orcid.org/0000-0001-6647-9614","contributorId":792,"corporation":false,"usgs":true,"family":"Blazer","given":"Vicki","email":"vblazer@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":false,"id":490185,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Mazik, Patricia M. 0000-0002-8046-5929 pmazik@usgs.gov","orcid":"https://orcid.org/0000-0002-8046-5929","contributorId":2318,"corporation":false,"usgs":true,"family":"Mazik","given":"Patricia","email":"pmazik@usgs.gov","middleInitial":"M.","affiliations":[{"id":199,"text":"Coop Res Unit Leetown","active":true,"usgs":true}],"preferred":true,"id":490186,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Iwanowicz, Luke R.","contributorId":11902,"corporation":false,"usgs":true,"family":"Iwanowicz","given":"Luke R.","affiliations":[],"preferred":false,"id":490189,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Braham, Ryan","contributorId":7175,"corporation":false,"usgs":true,"family":"Braham","given":"Ryan","affiliations":[],"preferred":false,"id":490188,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Hahn, Cassidy","contributorId":25456,"corporation":false,"usgs":true,"family":"Hahn","given":"Cassidy","affiliations":[],"preferred":false,"id":490190,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Walsh, Heather L. 0000-0001-6392-4604 hwalsh@usgs.gov","orcid":"https://orcid.org/0000-0001-6392-4604","contributorId":4696,"corporation":false,"usgs":true,"family":"Walsh","given":"Heather","email":"hwalsh@usgs.gov","middleInitial":"L.","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":490187,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Sperry, Adam","contributorId":98212,"corporation":false,"usgs":true,"family":"Sperry","given":"Adam","affiliations":[],"preferred":false,"id":490191,"contributorType":{"id":1,"text":"Authors"},"rank":7}]}} ,{"id":70057602,"text":"sir20135121 - 2014 - In-situ sediment oxygen demand rates in Hammonton Creek, Hammonton, New Jersey, and Crosswicks Creek, near New Egypt, New Jersey, August-October 2009","interactions":[],"lastModifiedDate":"2014-01-09T09:23:32","indexId":"sir20135121","displayToPublicDate":"2014-01-09T09:05:00","publicationYear":"2014","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5121","title":"In-situ sediment oxygen demand rates in Hammonton Creek, Hammonton, New Jersey, and Crosswicks Creek, near New Egypt, New Jersey, August-October 2009","docAbstract":"Sediment oxygen demand rates were measured in Hammonton Creek, Hammonton, New Jersey, and Crosswicks Creek, near New Egypt, New Jersey, during August through October 2009. These rates were measured as part of an ongoing water-quality monitoring program being conducted in cooperation with the New Jersey Department of Environmental Protection. Oxygen depletion rates were measured using in-situ test chambers and a non-consumptive optical electrode sensing technique for measuring dissolved oxygen concentrations. Sediment oxygen demand rates were calculated on the basis of these field measured oxygen depletion rates and the temperature of the stream water at each site.
\nHammonton Creek originates at an impoundment, then flows through pine forest and agricultural fields, and receives discharge from a sewage-treatment plant. The streambed is predominantly sand and fine gravel with isolated pockets of organic-rich detritus. Sediment oxygen demand rates were calculated at four sites on Hammonton Creek and were found to range from -0.3 to -5.1 grams per square meter per day (g/m2/d), adjusted to 20 degrees Celsius. When deployed in pairs, the chambers produced similar values, indicating that the method was working as expected and yielding reproducible results. At one site where the chamber was deployed for more than 12 hours, dissolved oxygen was consumed linearly over the entire test period.
\nCrosswicks Creek originates in a marshy woodland area and then flows through woodlots and pastures. The streambed is predominantly silt and clay with some bedrock exposures. Oxygen depletion rates were measured at three sites within the main channel of the creek, and the calculated sediment oxygen demand rates ranged from -0.33 to -2.5 g/m2/d, adjusted to 20 degrees Celsius. At one of these sites sediment oxygen demand was measured in both a center channel flowing area of a pond in the stream and in a stagnant non-flowing area along the shore of the pond where organic-rich bottom sediments had accumulated and lower dissolved oxygen concentration conditions existed in the water column. Dissolved oxygen concentrations in the center channel test chamber showed a constant slow decrease over the entire test period. Oxygen consumption in the test chamber at the near-shore location began rapidly and then slowed over time as oxygen became depleted in the chamber. Depending on the portion of the near-shore dissolved oxygen depletion curve used, calculated sediment oxygen demand rates ranged from as low as -0.03 g/m2/d to as high as -10 g/m2/d. The wide range of sediment oxygen demand rates indicates that care must be taken when extrapolating sediment oxygen demand rates between stream sites that have different bottom sediment types and different flow regimes.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135121","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Wilson, T.P., 2014, In-situ sediment oxygen demand rates in Hammonton Creek, Hammonton, New Jersey, and Crosswicks Creek, near New Egypt, New Jersey, August-October 2009: U.S. Geological Survey Scientific Investigations Report 2013-5121, vi, 18 p., https://doi.org/10.3133/sir20135121.","productDescription":"vi, 18 p.","numberOfPages":"28","onlineOnly":"Y","temporalStart":"2009-08-01","temporalEnd":"2009-10-31","ipdsId":"IP-023293","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":280788,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135121.jpg"},{"id":280786,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5121/"},{"id":280787,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5121/pdf/sir2013-5121.pdf"}],"country":"United States","state":"New Jersey","city":"Hammonton;New Egypt","otherGeospatial":"Crosswicks Creek;Hammonton Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -74.749603,40.029849 ], [ -74.749603,40.210605 ], [ -74.410057,40.210605 ], [ -74.410057,40.029849 ], [ -74.749603,40.029849 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"52cfc566e4b07de2a9490b5d","contributors":{"authors":[{"text":"Wilson, Timothy P. 0000-0003-1914-6344 tpwilson@usgs.gov","orcid":"https://orcid.org/0000-0003-1914-6344","contributorId":3752,"corporation":false,"usgs":true,"family":"Wilson","given":"Timothy","email":"tpwilson@usgs.gov","middleInitial":"P.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":486839,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70205771,"text":"70205771 - 2014 - Aquatic ecosystems as indicators of status and trends in water quality","interactions":[],"lastModifiedDate":"2019-10-02T17:18:43","indexId":"70205771","displayToPublicDate":"2013-10-21T17:18:14","publicationYear":"2014","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"chapter":"1.9","title":"Aquatic ecosystems as indicators of status and trends in water quality","docAbstract":"This chapter provides an introduction and overview of the use of aquatic ecosystems as indicators of water quality. The monitoring of biological communities (fish, algae, and invertebrates) as a means of assessing water quality conditions is emphasized along with ecotoxicological studies and measures of ecosystem function. Issues related to the design, implementation, and analysis of monitoring programs are reviewed and discussed with the objective of continually improving water quality conditions through adaptive management.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Comprehensive Water Quality and Purification","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Elsevier","doi":"10.1016/B978-0-12-382182-9.00008-6","usgsCitation":"Cuffney, T.F., Kennen, J., and Waite, I.R., 2014, Aquatic ecosystems as indicators of status and trends in water quality, chap. 1.9 of Comprehensive Water Quality and Purification, v. 1, p. 122-156, https://doi.org/10.1016/B978-0-12-382182-9.00008-6.","startPage":"122","endPage":"156","ipdsId":"IP-042636","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":367939,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"1","publishingServiceCenter":{"id":8,"text":"Raleigh PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Cuffney, Thomas F. 0000-0003-1164-5560","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":205649,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772273,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772272,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Waite, Ian R. 0000-0003-1681-6955 iwaite@usgs.gov","orcid":"https://orcid.org/0000-0003-1681-6955","contributorId":616,"corporation":false,"usgs":true,"family":"Waite","given":"Ian","email":"iwaite@usgs.gov","middleInitial":"R.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":true,"id":772271,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70057872,"text":"sir20135107 - 2013 - Arsenic in New Jersey Coastal Plain streams, sediments, and shallow groundwater: effects from different geologic sources and anthropogenic inputs on biogeochemical and physical mobilization processes","interactions":[],"lastModifiedDate":"2016-08-10T15:57:13","indexId":"sir20135107","displayToPublicDate":"2014-04-18T13:15:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5107","title":"Arsenic in New Jersey Coastal Plain streams, sediments, and shallow groundwater: effects from different geologic sources and anthropogenic inputs on biogeochemical and physical mobilization processes","docAbstract":"Arsenic (As) concentrations in New Jersey Coastal Plain streams generally exceed the State Surface Water Quality Standard (0.017 micrograms per liter (µg/L)), but concentrations seldom exceed 1 µg/L in filtered stream-water samples, regardless of geologic contributions or anthropogenic inputs. Nevertheless, As concentrations in unfiltered stream water indicate substantial variation because of particle inputs from soils and sediments with differing As contents, and because of discharges from groundwater of widely varying chemistry.
\nIn the Inner Coastal Plain, streams draining to lower reaches of the Delaware River traverse As-rich glauconitic sediments of marine origin in which As contents typically are about 20 milligrams per kilogram (mg/kg) or greater. In some of these sedimentary units, As concentrations exceed the New Jersey drinking-water maximum contaminant level (5 µg/L) in shallow groundwater that discharges to streams. Microbes, fueled by organic carbon beneath the streambed, reduce iron (Fe) and As, releasing As and Fe into solution in the shallow groundwater from geologic materials that likely include (in addition to glauconite) other phyllosilicates, apatite, and siderite. When the groundwater discharges to the stream, the dissolved Fe and As are oxidized, the Fe precipitates as a hydroxide, and the As sorbs or co-precipitates with the Fe. Because of the oxidation/precipitation process, dissolved As concentrations measured in filtered stream waters of the Inner Coastal Plain are about 1 µg/L, but the total As concentrations (and loads) are greater, substantially amplified by As-bearing suspended sediment in stormflows.
\nIn the Outer Coastal Plain, streams draining to the Atlantic Ocean traverse quartz-rich sediments of mainly deltaic origin where the As content generally is low (<8 mg/kg). In unfiltered and filtered water samples, As concentrations typically are less than 1 µg/L in the acidic stream water and groundwater of the Outer Coastal Plain, but are greater in waters from urban areas. Despite the generally small geologic contributions to Outer Coastal Plain groundwater, where wastewater inputs were indicated, concentrations of As in unfiltered shallow groundwater discharging to small urban streams exceeded the maximum contaminant level.
\nWith a history of agriculture in the New Jersey Coastal Plain, anthropogenic inputs of As, such as residues from former pesticide applications in soils, can amplify any geogenic As in runoff. Such inputs contribute to an increased total As load to a stream at high stages of flow. As a result of yet another anthropogenic influence, microbes that reduce and mobilize As beneath the streambeds are stimulated by inputs of dissolved organic carbon (DOC). Although DOC is naturally occurring, anthropogenic contributions from wastewater inputs may deliver increased levels of DOC to subsurface soils and ultimately groundwater. Arsenic concentrations may increase with the increases in pH of groundwater and stream water in developed areas receiving wastewater inputs, as As mobilization caused by pH-controlled sorption and desorption reactions are likely to occur in waters of neutral or alkaline pH (for example, Nimick and others, 1998; Barringer and others, 2007b). Because of the difference in As content of the geologic materials in the two sub-provinces of the Coastal Plain, the amount of As that is mobile in groundwater and stream water is, potentially, substantially greater in the Inner Coastal Plain than in the Outer Coastal Plain. In turn, streams within the Inner and Outer Coastal Plain can receive substantially more As in groundwater discharge from developed areas than from environments where DOC appears to be of natural origin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135107","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Barringer, J., Reilly, P.A., Eberl, D.D., Mumford, A., Benzel, W., Szabo, Z., Shourds, J.L., and Young, L.Y., 2013, Arsenic in New Jersey Coastal Plain streams, sediments, and shallow groundwater: effects from different geologic sources and anthropogenic inputs on biogeochemical and physical mobilization processes: U.S. Geological Survey Scientific Investigations Report 2013-5107, Report: viii, 38 p.; Appendixes: 3-6, https://doi.org/10.3133/sir20135107.","productDescription":"Report: viii, 38 p.; Appendixes: 3-6","numberOfPages":"50","onlineOnly":"Y","additionalOnlineFiles":"Y","ipdsId":"IP-032163","costCenters":[{"id":470,"text":"New Jersey Water Science 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Y.","contributorId":19697,"corporation":false,"usgs":true,"family":"Young","given":"Lily","email":"","middleInitial":"Y.","affiliations":[],"preferred":false,"id":486897,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70059955,"text":"sir20135234 - 2013 - Hurricane Irene and associated floods of August 27-30, 2011, in New Jersey","interactions":[],"lastModifiedDate":"2016-08-10T15:57:38","indexId":"sir20135234","displayToPublicDate":"2014-02-20T14:12:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5234","title":"Hurricane Irene and associated floods of August 27-30, 2011, in New Jersey","docAbstract":"Intense rainfall from Hurricane Irene during August 27–30, 2011, inundated streams throughout New Jersey resulting in peak streamflows exceeding the 100-year recurrence interval at many streamgages and causing heavy property and road damage. The rain event affected the entire State. Some notably affected areas were the Passaic and Hackensack River Basins in northeastern New Jersey with new peaks of record at 10 continuous-record streamflow-gaging stations on streams such as the Hackensack River, Ramapo River, Rockaway River, and Green Pond Brook. In the Atlantic Coastal Basin, new peaks of record were recorded at 6 continuous-record streamflow-gaging stations, 2 of which were on the Manasquan River, 1 on Toms River, 1 on the Mullica River, 1 on the North Branch Metedeconk River, and 1 on the West Branch Wading River. Several tributaries to the Delaware River, such as the Pequest River, Flat Brook, and Assunpink Creek, also experienced major flooding with new peaks of record at nine continuous-record streamflow-gaging stations.
\nThe U.S. Geological Survey (USGS) documented peak streamflows and water-surface elevations at 125 continuous-record streamflow-gaging stations, 27 crest-stage partial-record stations, and peak water-surface elevations at 24 continuous-record tide gages within the State of New Jersey. With rainfall totals averaging more than 10 inches throughout the State, peak-of-record flood elevations and streamflows occurred at 32 continuous-record streamflow-gaging stations. Flood-frequency recurrence-intervals were recomputed for 80 gages with 20 or more years of record; 25 crest-stage gages ranged from 25 years to greater than 500 years for the peak-of-record floods. The maximum peak streamflow per square mile ranged from 20 to 759 cubic feet per second per square mile.
\nThe August 27–30, 2011, flood peaks rank as the peaks of record for 32 continuous-record streamflow-gaging stations with a period of record of 23 to 100 years, as the second highest peaks for 21 continuous-record streamflow-gaging stations with a period of record of 21 to 114 years, and the third highest peaks of record for 11 continuous-record streamflow-gaging stations with a period of record of 43 to 96 years. Several gages have documented peaks dating back to 1903.
\nAbout 1 million people across the State were evacuated, and every county was eventually declared a Federal disaster area. Property damage in New Jersey was estimated to be $1 billion. Governor Chris Christie declared a State of Emergency for New Jersey on August 31, 2011. After assessment of the damage by the Federal Emergency Management Agency, President Obama declared all 21 counties major disaster areas in the State of New Jersey on August 31, 2011.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135234","collaboration":"Prepared in cooperation with the Federal Emergency Management Agency","usgsCitation":"Watson, K.M., Collenburg, J., and Reiser, R.G., 2013, Hurricane Irene and associated floods of August 27-30, 2011, in New Jersey: U.S. Geological Survey Scientific Investigations Report 2013-5234, ix, 149 p., https://doi.org/10.3133/sir20135234.","productDescription":"ix, 149 p.","numberOfPages":"158","onlineOnly":"Y","additionalOnlineFiles":"N","ipdsId":"IP-043125","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":282579,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135234.jpg"},{"id":282576,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2013/5234/"},{"id":282577,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5234/pdf/sir2013-5234.pdf","text":"Report","size":"58.7 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"}],"scale":"24000","projection":"Universal Transverse Mercator","country":"United States","state":"New 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Jersey\",\"nation\":\"USA \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd60d4e4b0b290850fd2f1","contributors":{"authors":[{"text":"Watson, Kara M. 0000-0002-2685-0260 kmwatson@usgs.gov","orcid":"https://orcid.org/0000-0002-2685-0260","contributorId":2134,"corporation":false,"usgs":true,"family":"Watson","given":"Kara","email":"kmwatson@usgs.gov","middleInitial":"M.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Collenburg, Jerilyn V.","contributorId":62133,"corporation":false,"usgs":true,"family":"Collenburg","given":"Jerilyn V.","affiliations":[],"preferred":false,"id":487864,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reiser, Robert G. 0000-0001-5140-2745 rreiser@usgs.gov","orcid":"https://orcid.org/0000-0001-5140-2745","contributorId":4083,"corporation":false,"usgs":true,"family":"Reiser","given":"Robert","email":"rreiser@usgs.gov","middleInitial":"G.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":487863,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70146525,"text":"70146525 - 2013 - Complex resistivity signatures of ethanol biodegradation in porous media","interactions":[],"lastModifiedDate":"2015-04-17T15:51:53","indexId":"70146525","displayToPublicDate":"2013-10-01T00:00:00","publicationYear":"2013","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2233,"text":"Journal of Contaminant Hydrology","active":true,"publicationSubtype":{"id":10}},"title":"Complex resistivity signatures of ethanol biodegradation in porous media","docAbstract":"Numerous adverse effects are associated with the accidental release of ethanol (EtOH) and its persistence in the subsurface. Geophysical techniques may permit non-invasive, real time monitoring of microbial degradation of hydrocarbon. We performed complex resistivity (CR) measurements in conjunction with geochemical data analysis on three microbial-stimulated and two control columns to investigate changes in electrical properties during EtOH biodegradation processes in porous media. A Debye Decomposition approach was applied to determine the chargeability (m), normalized chargeability (mn) and time constant (τ) of the polarization magnitude and relaxation length scale as a function of time. The CR responses showed a clear distinction between the bioaugmented and control columns in terms of real (σ′) and imaginary (σ″) conductivity, phase (ϕ) and apparent formation factor (Fapp). Unlike the control columns, a substantial decrease in σ′ and increase in Fapp occurred at an early time (within 4 days) of the experiment for all three bioaugmented columns. The observed decrease in σ′ is opposite to previous studies on hydrocarbon biodegradation. These columns also exhibited increases in ϕ (up to ~ 9 mrad) and σ″ (up to two order of magnitude higher) 5 weeks after microbial inoculation. Variations in m and mn were consistent with temporal changes in ϕ and σ″ responses, respectively. Temporal geochemical changes and high resolution scanning electron microscopy imaging corroborated the CR findings, thus indicating the sensitivity of CR measurements to EtOH biodegradation processes. Our results offer insight into the potential application of CR measurements for long-term monitoring of biogeochemical and mineralogical changes during intrinsic and induced EtOH biodegradation in the subsurface.
","language":"English","publisher":"Elsevier","doi":"10.1016/j.jconhyd.2013.07.005","usgsCitation":"Personna, Y.R., Slater, L., Ntarlagiannis, D., Werkema, D.D., and Szabo, Z., 2013, Complex resistivity signatures of ethanol biodegradation in porous media: Journal of Contaminant Hydrology, v. 153, p. 37-50, https://doi.org/10.1016/j.jconhyd.2013.07.005.","productDescription":"14 p.","startPage":"37","endPage":"50","numberOfPages":"14","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-048879","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":299761,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"153","publishingServiceCenter":{"id":10,"text":"Baltimore PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55322ec3e4b0b22a158063db","contributors":{"authors":[{"text":"Personna, Yves Robert","contributorId":77820,"corporation":false,"usgs":false,"family":"Personna","given":"Yves","email":"","middleInitial":"Robert","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":545044,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Slater, Lee","contributorId":55707,"corporation":false,"usgs":false,"family":"Slater","given":"Lee","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":545045,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Ntarlagiannis, Dimitrios","contributorId":55303,"corporation":false,"usgs":false,"family":"Ntarlagiannis","given":"Dimitrios","affiliations":[{"id":12727,"text":"Rutgers University","active":true,"usgs":false}],"preferred":false,"id":545046,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Werkema, Dale D.","contributorId":40488,"corporation":false,"usgs":false,"family":"Werkema","given":"Dale","email":"","middleInitial":"D.","affiliations":[{"id":6914,"text":"U.S. Environmental Protection Agency","active":true,"usgs":false}],"preferred":false,"id":545047,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Szabo, Zoltan 0000-0002-0760-9607 zszabo@usgs.gov","orcid":"https://orcid.org/0000-0002-0760-9607","contributorId":138827,"corporation":false,"usgs":true,"family":"Szabo","given":"Zoltan","email":"zszabo@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":545043,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70047766,"text":"sir20135089 - 2013 - Method to support Total Maximum Daily Load development using hydrologic alteration as a surrogate to address aquatic life impairment in New Jersey streams","interactions":[],"lastModifiedDate":"2018-11-01T12:06:18","indexId":"sir20135089","displayToPublicDate":"2013-08-22T13:36:00","publicationYear":"2013","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2013-5089","title":"Method to support Total Maximum Daily Load development using hydrologic alteration as a surrogate to address aquatic life impairment in New Jersey streams","docAbstract":"More than 300 ambient monitoring sites in New Jersey have been identified by the New Jersey Department of Environmental Protection (NJDEP) in its integrated water-quality monitoring and assessment report (that is, the 305(b) Report on general water quality and 303(d) List of waters that do not support their designated uses) as being impaired with respect to aquatic life; however, no unambiguous stressors (for example, nutrients or bacteria) have been identified. Because of the indeterminate nature of the broad range of possible impairments, surrogate measures that more holistically encapsulate the full suite of potential environmental stressors need to be developed. Streamflow alteration resulting from anthropogenic changes in the landscape is one such surrogate. For example, increases in impervious surface cover (ISC) commonly cause increases in surface runoff, which can result in “flashy” hydrology and other changes in the stream corridor that are associated with streamflow alteration. The NJDEP has indicated that methodologies to support a hydrologically based Total Maximum Daily Load (hydro-TMDL) need to be developed in order to identify hydrologic targets that represent a minimal percent deviation from a baseline condition (“minimally altered”) as a surrogate measure to meet criteria in support of designated uses.
The primary objective of this study was to develop an applicable hydro-TMDL approach to address aquatic-life impairments associated with hydrologic alteration for New Jersey streams. The U.S. Geological Survey, in cooperation with the NJDEP, identified 51 non- to moderately impaired gaged streamflow sites in the Raritan River Basin for evaluation. Quantile regression (QR) analysis was used to compare flow and precipitation records and identify baseline hydrographs at 37 of these sites. At sites without an appropriately long period of record (POR) or where a baseline hydrograph could not be identified with QR, a rainfall-runoff model was used to develop simulated baseline hydrographs. The hydro-TMDL approach provided an opportunity to evaluate proportional differences in flow attributes between observed and baseline hydrographs and to develop complementary flow-ecology response relations at a subset of Raritan River Basin sites where available flow and ecological information overlapped.
The New Jersey Stream Classification Tool (NJSCT) was used to determine the stream class of all 51 study sites by using either an observed or a simulated baseline hydrograph. Two New Jersey stream classes (A and C) were evaluated to help characterize the unique hydrology of the Raritan River Basin. In general, class C streams (1.99–40.7 square miles) had smaller drainage areas than class A streams (0.7–785 square miles). Many of the non-impaired and moderately impaired class A and C streams in the Raritan River Basin were found to have significant hydrologic alteration as indicated by numerous flow values that fell outside the established 25th-to-75th- and the more conservative 40th-to-60th-percentile boundaries. However, percent deviations for the class C streams (defined as moderately stable streams with moderately high base-flow contributions) were, in general, much larger than those for the class A streams (defined as semiflashy streams characterized by moderately low base flow). The greater deviations for class C streams in the hydro-TMDL assessments likely resulted from comparisons that were based solely on simulated baseline hydrographs, which were developed without considering any anthropogenic influences in the basin. In contrast, comparisons for many of the class A streams were made by using an observed baseline, which already includes an implicit level of ISC and other human influences on the landscape.
By using the hydro-TMDL approach, numerous flow deviations were identified that were indicative of streams that are highly regulated by reservoirs or dams, streams that are affected by increasing amounts of surface runoff resulting from ISC, and streams that are affected by water abstraction (that is, groundwater or surface-water withdrawals used for agricultural and human supply). Eight of the reservoir- and (or) dam-affected sites showed flow deviations that are indicative of flow-managed systems. For example, indices that account for the timing and magnitude of high and low flows were often found to fall outside the 25th-to-75th-percentile range. In general, at regulated class C streams, annual summer low flows are arriving later and tend to be lower, and high flows are arriving earlier with higher magnitudes of longer duration. At class A streams, high and low flows are arriving later with an overall increase in discharge with respect to the prereservoir baseline conditions.
The drainage basins of eight of the study sites had large values of ISC (>10 percent), most likely as a result of expanding urban development. In general, the magnitude and frequency of high flows at class A and C sites with high ISC are increasing and were commonly found to fall outside the 25th-to-75th-percentile range. Additionally, magnitudes of low flows are becoming lower and, although the timing of high flows was highly variable, low-flow events appeared to be arriving earlier than would be expected under normal low-flow conditions. Three of the study sites appeared to be affected by hydrologic changes associated with water abstraction. At these sites, the timing of flows appeared to be altered. For example, low flows tended to arrive earlier and high flows arrived later at two of the three sites. Additionally, the magnitude and duration of low flows were commonly less than the 25th-percentile value and the duration of high flows appeared to increase.
A reduced set of hydrologic and ecological variables was used to develop univariate and multivariate flow-ecology response models for the aquatic-invertebrate assemblage. Many hydrologic variables accounting for the duration, magnitude, frequency, and timing of flows were significantly correlated with ecological response. Multiple linear regression (MLR) models were developed to provide a more holistic evaluation of the combined effects of hydrologic alteration and to identify models with two or three hydrologic variables that account for a significant proportion of the variability in invertebrate-assemblage condition as represented by assemblage metric scores. MLR models, derived on the basis of hydrologic attributes, accounted for 35 to 75 percent of the variability in assemblage condition.
The hydro-TMDL method developed herein for non- to moderately impaired Raritan River Basin streams utilizes a “surrogate” approach in place of the traditional “pollutant of concern” approach commonly used for TMDL development. Managers can use the results obtained by using the hydro-TMDL method to offset the effects of impervious-surface runoff and altered streamflow and to implement measures designed to achieve the necessary load reductions for the “pollutant of concern” (that is, percentage deviations of stream-class-specific flow-index values outside the established 25th-to-75th-percentile range). In this case, such deviations could represent all or a subset of the altered flow indices that prevent the stream from meeting designated aquatic-life criteria. This hydro-TMDL uses a reference, or attainment stream approach for developing the TMDL endpoint. That is, either observed or simulated baseline hydrographs were selected as appropriate reference conditions on the basis of results of QR analysis and watershed modeling procedures, respectively. For any stream in the Raritan River Basin evaluated as part of this study, the hydro-TMDL can be expressed as the greatest amount of deviation in flow a stream can exhibit without violating the stream’s designated aquatic-life criteria. Use of this surrogate approach is appropriate because flows that fall outside the established percentile ranges are ultimately a function of many anthropogenic modifications of the landscape, including the amount of stormwater runoff generated from impervious surfaces within a given basin, the presence of manmade structures designed to retain or divert water, the magnitude of ground- and surface-water abstraction, and the presence of water-supply processes implemented to support human needs. In addition, the stream-type-specific flow indices used as the basis for the hydro-TMDL approach are useful for representing the hydrologic conditions of class A and C streams/basins because they incorporate the full spectrum of flow conditions (very low to very high) that occur in the stream system over a long period of time, as well as those flow properties that change as a result of seasonal variation.
Ultimately, an estimate of the maximum percentage flow reduction that could be allowed will be needed to address the aquatic-life impairments in many of the study streams in the Raritan River Basin and will be necessary for identifying appropriate target flow conditions for hydro-TMDL implementation. As described in this report, a target flow value equal to the 25th- or 75th-percentile flow rate could be selected as the point useful for setting specific hydrologic targets. This selection, however, is a management decision that could vary depending on the designated use of the stream or other regulatory factors (for example, water-supply protection, trout production, antidegradation policies, or special protection designations). In New Jersey streams where no unambiguous stressors can be identified, State monitoring agencies, such as the NJDEP, could choose to require the implementation of a flow-based TMDL that not only supports designated uses, but meets the regulatory requirements under the Clean Water Act, and represents a balance between water supply intended to meet human needs and the conservation of ecosystem integrity.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20135089","collaboration":"Prepared in cooperation with the New Jersey Department of Environmental Protection","usgsCitation":"Kennen, J., Riskin, M.L., Reilly, P.A., and Colarullo, S.J., 2013, Method to support Total Maximum Daily Load development using hydrologic alteration as a surrogate to address aquatic life impairment in New Jersey streams: U.S. Geological Survey Scientific Investigations Report 2013-5089, viii, 86 p., https://doi.org/10.3133/sir20135089.","productDescription":"viii, 86 p.","numberOfPages":"98","onlineOnly":"Y","costCenters":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"links":[{"id":276906,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20135089.png"},{"id":276904,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5089/","text":"Index Page","linkFileType":{"id":5,"text":"html"}},{"id":276905,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2013/5089/pdf/sir2013-5089.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"New Jersey","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.25,\n 40\n ],\n [\n -74.25,\n 40\n ],\n [\n -74.25,\n 41\n ],\n [\n -75.25,\n 41\n ],\n [\n -75.25,\n 40\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"521724dae4b043bae8d2e5a9","contributors":{"authors":[{"text":"Kennen, Jonathan G. 0000-0002-5426-4445 jgkennen@usgs.gov","orcid":"https://orcid.org/0000-0002-5426-4445","contributorId":574,"corporation":false,"usgs":true,"family":"Kennen","given":"Jonathan G.","email":"jgkennen@usgs.gov","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482925,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Riskin, Melissa L. 0000-0001-6499-3775 mriskin@usgs.gov","orcid":"https://orcid.org/0000-0001-6499-3775","contributorId":654,"corporation":false,"usgs":true,"family":"Riskin","given":"Melissa","email":"mriskin@usgs.gov","middleInitial":"L.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true},{"id":37786,"text":"WMA - Observing Systems Division","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":482928,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reilly, Pamela A. 0000-0002-2937-4490 jankowsk@usgs.gov","orcid":"https://orcid.org/0000-0002-2937-4490","contributorId":653,"corporation":false,"usgs":true,"family":"Reilly","given":"Pamela","email":"jankowsk@usgs.gov","middleInitial":"A.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482927,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Colarullo, Susan J. 0000-0003-4504-0068 colarull@usgs.gov","orcid":"https://orcid.org/0000-0003-4504-0068","contributorId":652,"corporation":false,"usgs":true,"family":"Colarullo","given":"Susan","email":"colarull@usgs.gov","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":true,"id":482926,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ]}