We are in the midst of a continental-scale, multi-year experiment in the United States, in which we have not defined our testable hypotheses or set the duration and scope of the experiment, which poses major water-resources challenges for the 21st century. What are we doing? We are expanding population at three times the national growth rate in our most water-scarce region, the southwestern United States, where water stress is already great and modeling predicts decreased streamflow by the middle of this century. We are expanding irrigated agriculture from the west into the east, particularly to the southeastern states, where increased competition for ground and surface water has urban, agricultural, and environmental interests at odds, and increasingly, in court. We are expanding our consumption of pharmaceutical and personal care products to historic high levels and disposing them in surface and groundwater, through sewage treatment plants and individual septic systems. These substances are now detectable at very low concentrations and we have documented significant effects on aquatic species, particularly on fish reproduction function. We don’t yet know what effects on human health may emerge, nor do we know if we need to make large investments in water treatment systems, which were not designed to remove these substances. These are a few examples of our national-scale experiment. In addition to these water resources challenges, over which we have some control, climate change models indicate that precipitation and streamflow patterns will change in coming decades, with western mid-latitude North America generally drier. We have already documented trends in more rain and less snow in western mountains. This has large implications for water supply and storage, and groundwater recharge. We have documented earlier snowmelt peak spring runoff in northeastern and northwestern States, and western montane regions. Peak runoff is now about two weeks earlier than it was in the first half of the 20th century. Decreased summer runoff affects water supply for agriculture, domestic water supply, cooling needs for thermoelectric power generation, and ecosystem needs. In addition to the reduced volume of streamflow during warm summer months, less water results in elevated stream temperature, which also has significant effects on cooling of power generating facilities and on aquatic ecosystem needs. We are now required to include fish and other aquatic species in negotiation over how much water to leave in the river, rather than, as in the past, how much water we could remove from a river. Additionally, we must pay attention to the quality of that water, including its temperature. This is driven in the US by the Endangered Species Act and the Clean Water Act. Furthermore, we must now better understand and manage the whole hydrograph and the influence of hydrologic variability on aquatic ecosystems. Man has trimmed the tails off the probability distribution of flows. We need to understand how to put the tails back on but can’t do that without improved understanding of aquatic ecosystems. Sea level rise presents challenges for fresh water extraction from coastal aquifers as they are compromised by increased saline intrusion. A related problem faces users of ‘run-of-the-river’ water-supply intakes that are threatened by a salt front that migrates further upstream because of higher sea level. We face significant challenges with water infrastructure. The U.S. has among the highest quality drinking water in the world piped to our homes. However, our water and sewage treatment plants and water and sewer pipelines have not had adequate maintenance or investment for decades. The US Environmental Protection Agency estimates that there are up to 3.5M illnesses per year from recreational contact with sewage from sanitary sewage overflows. Infrastructure investment needs have been put at 5 trillion nationally. Global change and water resources c
","conferenceTitle":"6th Alexander von Humboldt International Conference on Climate Change, Natural Hazards, and Societies","conferenceDate":"March 15-19, 2010","conferenceLocation":"Merida, Mexico","language":"English","usgsCitation":"Larsen, M.C., and Hirsch, R., 2010, Global change and water resources in the next 100 years, 6th Alexander von Humboldt International Conference on Climate Change, Natural Hazards, and Societies, Merida, Mexico, March 15-19, 2010, 7 p.","productDescription":"7 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-022438","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"links":[{"id":340445,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"publishingServiceCenter":{"id":9,"text":"Reston PSC"},"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"5901b1c0e4b0c2e071a99bbe","contributors":{"authors":[{"text":"Larsen, Matthew C. mclarsen@usgs.gov","contributorId":1568,"corporation":false,"usgs":true,"family":"Larsen","given":"Matthew","email":"mclarsen@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":544772,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hirsch, R.M.","contributorId":58639,"corporation":false,"usgs":true,"family":"Hirsch","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":580502,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98274,"text":"ofr20101049 - 2010 - Science in the Public Sphere: Greater Sage-grouse Conservation Planning from a Transdisciplinary Perspective","interactions":[],"lastModifiedDate":"2012-02-10T00:10:05","indexId":"ofr20101049","displayToPublicDate":"2010-03-18T00:00:00","publicationYear":"2010","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":"2010-1049","title":"Science in the Public Sphere: Greater Sage-grouse Conservation Planning from a Transdisciplinary Perspective","docAbstract":"Integration of scientific data and adaptive management techniques is critical to the success of species conservation, however, there are uncertainties about effective methods of knowledge exchange between scientists and decisionmakers. The conservation planning and implementation process for Greater Sage-grouse (Centrocercus urophasianus; ) in the Mono Basin, Calif. region, was used as a case study to observe the exchange of scientific information among stakeholders with differing perspectives; resource manager, scientist, public official, rancher, and others. \r\n\r\nThe collaborative development of a risk-simulation model was explored as a tool to transfer knowledge between stakeholders and inform conservation planning and management decisions. Observations compiled using a transdisciplinary approach were used to compare the exchange of information during the collaborative model development and more traditional interactions such as scientist-led presentations at stakeholder meetings. Lack of congruence around knowledge needs and prioritization led to insufficient commitment to completely implement the risk-simulation model. Ethnographic analysis of the case study suggests that further application of epistemic community theory, which posits a strong boundary condition on knowledge transfer, could help support application of risk simulation models in conservation-planning efforts within similarly complex social and bureaucratic landscapes. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20101049","usgsCitation":"Torregrosa, A.A., Casazza, M.L., Caldwell, M.R., Mathiasmeier, T.A., Morgan, P.M., and Overton, C.T., 2010, Science in the Public Sphere: Greater Sage-grouse Conservation Planning from a Transdisciplinary Perspective: U.S. Geological Survey Open-File Report 2010-1049, iv, 31p., https://doi.org/10.3133/ofr20101049.","productDescription":"iv, 31p.","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"links":[{"id":125832,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1049.jpg"},{"id":13527,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1049/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -120,37 ], [ -120,39.5 ], [ -117,39.5 ], [ -117,37 ], [ -120,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd4f9","contributors":{"authors":[{"text":"Torregrosa, Alicia A. 0000-0001-7361-2241 atorregrosa@usgs.gov","orcid":"https://orcid.org/0000-0001-7361-2241","contributorId":3471,"corporation":false,"usgs":true,"family":"Torregrosa","given":"Alicia","email":"atorregrosa@usgs.gov","middleInitial":"A.","affiliations":[{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":304865,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Casazza, Michael L. 0000-0002-5636-735X mike_casazza@usgs.gov","orcid":"https://orcid.org/0000-0002-5636-735X","contributorId":2091,"corporation":false,"usgs":true,"family":"Casazza","given":"Michael","email":"mike_casazza@usgs.gov","middleInitial":"L.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":304863,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Caldwell, Margaret R.","contributorId":31358,"corporation":false,"usgs":true,"family":"Caldwell","given":"Margaret","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":304866,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mathiasmeier, Teresa A.","contributorId":50488,"corporation":false,"usgs":true,"family":"Mathiasmeier","given":"Teresa","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":304867,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Morgan, Peter M.","contributorId":54156,"corporation":false,"usgs":true,"family":"Morgan","given":"Peter","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304868,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Overton, Cory T. 0000-0002-5060-7447 coverton@usgs.gov","orcid":"https://orcid.org/0000-0002-5060-7447","contributorId":3262,"corporation":false,"usgs":true,"family":"Overton","given":"Cory","email":"coverton@usgs.gov","middleInitial":"T.","affiliations":[{"id":651,"text":"Western Ecological Research Center","active":true,"usgs":true}],"preferred":true,"id":304864,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98277,"text":"sir20105033 - 2010 - Estimation of Flood-Frequency Discharges for Rural, Unregulated Streams in West Virginia","interactions":[],"lastModifiedDate":"2012-03-08T17:16:12","indexId":"sir20105033","displayToPublicDate":"2010-03-18T00:00:00","publicationYear":"2010","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":"2010-5033","title":"Estimation of Flood-Frequency Discharges for Rural, Unregulated Streams in West Virginia","docAbstract":"Flood-frequency discharges were determined for 290 streamgage stations having a minimum of 9 years of record in West Virginia and surrounding states through the 2006 or 2007 water year. No trend was determined in the annual peaks used to calculate the flood-frequency discharges.\r\n\r\nMultiple and simple least-squares regression equations for the 100-year (1-percent annual-occurrence probability) flood discharge with independent variables that describe the basin characteristics were developed for 290 streamgage stations in West Virginia and adjacent states. The regression residuals for the models were evaluated and used to define three regions of the State, designated as Eastern Panhandle, Central Mountains, and Western Plateaus. Exploratory data analysis procedures identified 44 streamgage stations that were excluded from the development of regression equations representative of rural, unregulated streams in West Virginia. Regional equations for the 1.1-, 1.5-, 2-, 5-, 10-, 25-, 50-, 100-, 200-, and 500-year flood discharges were determined by generalized least-squares regression using data from the remaining 246 streamgage stations. Drainage area was the only significant independent variable determined for all equations in all regions.\r\n\r\nProcedures developed to estimate flood-frequency discharges on ungaged streams were based on (1) regional equations and (2) drainage-area ratios between gaged and ungaged locations on the same stream. The procedures are applicable only to rural, unregulated streams within the boundaries of West Virginia that have drainage areas within the limits of the stations used to develop the regional equations (from 0.21 to 1,461 square miles in the Eastern Panhandle, from 0.10 to 1,619 square miles in the Central Mountains, and from 0.13 to 1,516 square miles in the Western Plateaus). The accuracy of the equations is quantified by measuring the average prediction error (from 21.7 to 56.3 percent) and equivalent years of record (from 2.0 to 70.9 years).\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105033","collaboration":"Prepared in cooperation with the West Virginia Department of Transportation, Division of Highways","usgsCitation":"Wiley, J.B., and Atkins, J.T., 2010, Estimation of Flood-Frequency Discharges for Rural, Unregulated Streams in West Virginia: U.S. Geological Survey Scientific Investigations Report 2010-5033, vi, 75 p.; Appendices, https://doi.org/10.3133/sir20105033.","productDescription":"vi, 75 p.; Appendices","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":642,"text":"West Virginia Water Science Center","active":true,"usgs":true}],"links":[{"id":126627,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5033.jpg"},{"id":13530,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5033/","linkFileType":{"id":5,"text":"html"}}],"scale":"1","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -83.25,37 ], [ -83.25,41 ], [ -77.5,41 ], [ -77.5,37 ], [ -83.25,37 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0be4b07f02db5fbd80","contributors":{"authors":[{"text":"Wiley, Jeffrey B.","contributorId":59746,"corporation":false,"usgs":true,"family":"Wiley","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":304873,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Atkins, John T. jtatkins@usgs.gov","contributorId":2804,"corporation":false,"usgs":true,"family":"Atkins","given":"John","email":"jtatkins@usgs.gov","middleInitial":"T.","affiliations":[],"preferred":true,"id":304872,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98268,"text":"sir20105005 - 2010 - Evaluation of Methods for Delineating Zones of Transport for Production Wells in Karst and Fractured-Rock Aquifers of Minnesota","interactions":[],"lastModifiedDate":"2012-03-08T17:16:30","indexId":"sir20105005","displayToPublicDate":"2010-03-17T00:00:00","publicationYear":"2010","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":"2010-5005","title":"Evaluation of Methods for Delineating Zones of Transport for Production Wells in Karst and Fractured-Rock Aquifers of Minnesota","docAbstract":"Assessment of groundwater-flow conditions in the vicinity of production wells in karst and fractured-rock settings commonly is difficult due in part to the lack of detailed hydrogeologic information and the resources needed to collect it. To address this concern and to better understand the hydrogeology and aquifer properties of karst and fractured-rock aquifers in Minnesota, the U.S. Geological Survey, in cooperation with the Minnesota Department of Health, conducted a study to evaluate methods for delineating zones of transport for 24 production wells in karst and fractured-rock aquifers in Minnesota. Two empirical methods for delineating zones of transport around wells were applied to the 24 production wells that extract groundwater from karst and fractured-rock aquifers in nine Minnesota communities. These methods were the truncated-parabola and modified-ellipse methods, and both methods assume porous-media flow conditions. The 24 wells extracted water from a karst aquifer (Prairie du Chien-Jordan aquifer), porous aquifers interspersed with solution-enhanced fractures (Jordan and Hinckley aquifers), or fractured-bedrock aquifers (Biwabik Iron-Formation and Sioux Quartzite aquifers). Zones of transport delineated using these two empirical methods were compared with zones of transport previously delineated by Minnesota Department of Health hydrologists for the wells using the calculated-fixed-radius method and groundwater-flow models.\r\n\r\nLarge differences were seen in the size and shapes of most zones of transport delineated using the truncated-parabola and modified-ellipse methods compared with the zones of transport delineated by the Minnesota Department of Health. In general, the zones of transport delineated using the truncated-parabola and modified-ellipse methods were smaller in area than those delineated by the Minnesota Department of Health and included only small parts of the Minnesota Department of Health zones of transport. About two-thirds(67 percent) of the individual or composite truncated parabolas and modified ellipses covered less than 50 percent of the area included in zones of transport delineated by the Minnesota Department of Health. The shapes of some of the truncated parabola and modified ellipses did not closely match the zones of transport delineated by the Minnesota Department of Health using the calculated-fixed-radius method and groundwater-flow models. Differences between the zones of transport delineated by the truncated-parabola and modified-ellipse methods and those delineated by the Minnesota Department of Health can be explained by variations inherent to the methods and by the amount of complexity taken into account by different groundwater-flow models. Additional field hydrogeologic studies would be needed at specific sites to support the use of these zone-of-transport delineation methods. Application of the truncated-parabola and modified-ellipse methods to sites for which existing hydrogeologic information is limited can produce questionable results in karst and fractured-rock settings, particularly in areas where many high-capacity wells or active mining operations are nearby. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20105005","collaboration":"Prepared in Cooperation with the Minnesota Department of Health","usgsCitation":"Jones, P.M., 2010, Evaluation of Methods for Delineating Zones of Transport for Production Wells in Karst and Fractured-Rock Aquifers of Minnesota: U.S. Geological Survey Scientific Investigations Report 2010-5005, v, 32 p., https://doi.org/10.3133/sir20105005.","productDescription":"v, 32 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":117633,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2010_5005.jpg"},{"id":13521,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2010/5005/","linkFileType":{"id":5,"text":"html"}}],"projection":"Universal Transverse Mecator","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -97.23333333333333,43.5 ], [ -97.23333333333333,49.38333333333333 ], [ -89.48333333333333,49.38333333333333 ], [ -89.48333333333333,43.5 ], [ -97.23333333333333,43.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7fe4b07f02db649246","contributors":{"authors":[{"text":"Jones, Perry M. 0000-0002-6569-5144 pmjones@usgs.gov","orcid":"https://orcid.org/0000-0002-6569-5144","contributorId":2231,"corporation":false,"usgs":true,"family":"Jones","given":"Perry","email":"pmjones@usgs.gov","middleInitial":"M.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304851,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":70156727,"text":"70156727 - 2010 - Estimating salinity intrusion effects due to climate change on the Lower Savannah River Estuary","interactions":[],"lastModifiedDate":"2022-11-08T17:47:31.723551","indexId":"70156727","displayToPublicDate":"2010-03-17T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Estimating salinity intrusion effects due to climate change on the Lower Savannah River Estuary","docAbstract":"The ability of water-resource managers to adapt to future climatic change is especially challenging in coastal regions of the world. The East Coast of the United States falls into this category given the high number of people living along the Atlantic seaboard and the added strain on resources as populations continue to increase, particularly in the Southeast. Increased temperatures, changes in regional precipitation regimes, and potential increased sea level may have a great impact on existing hydrological systems in the region. The Savannah River originates at the confluence of the Seneca and Tugaloo Rivers, near Hartwell, Ga., and forms the state boundary between South Carolina and Georgia. The J. Strom Thurmond Dam and Lake, located 238 miles upstream from the Atlantic Ocean, is responsible for most of the flow regulation that affects the Savannah River from Augusta, Ga., to the coast. The Savannah Harbor experiences semi-diurnal tides of two low and two high tides in a 24.8-hour period with pronounced differences in tidal range between neap and spring tides occurring on a 14-day and 28-day lunar cycle. Salinity intrusion results from the interaction of three principal forces - streamflow, mean tidal water levels, and tidal range. To analyze, model, and simulate hydrodynamic behaviors at critical coastal streamgages in the Lower Savannah River Estuary, data-mining techniques were applied to over 15 years of hourly streamflow, coastal water-quality, and water-level data. Artificial neural network (ANN) models were trained to learn the variable interactions that cause salinity intrusions. Streamflow data from the 9,850 square-mile Savannah River Basin were input into the model as time-delayed variables. Tidal inputs to the models were obtained by decomposing tidal water-level data into a “periodic” signal of tidal range and a “chaotic” signal of mean water levels. The ANN models were able to convincingly reproduce historical behaviors and generate alternative scenarios of interest. Important freshwater resources are located proximal to the freshwater-saltwater interface of the estuary. The Savannah National Wildlife Refuge is located in the upper portion of the Savannah River Estuary. The tidal freshwater marsh is an essential part of the 28,000-acre refuge and is home to a diverse variety of wildlife and plant communities. Two municipal freshwater intakes are located upstream from the refuge. To evaluate the impact of climate change on salinity intrusion on these resources, inputs of streamflows and mean tidal water levels were modified to incorporate estimated changes in precipitation patterns and sea-level rise appropriate for the Southeastern United States. Changes in mean tidal water levels were changed parametrically for various sea-level rise conditions. Preliminary model results at the U.S. Geological Survey (USGS) Interstate-95 streamgage (station 02198840) for a 7½-year simulation show that historical daily salinity concentrations never exceeded 0.5 practical salinity units (psu). A 1-foot sea-level rise (ft, 30.5 centimeters [cm]) would increase the number of days of salinity concentrations greater than 0.5 psu to 47 days. A 2-ft (61 cm) sea-level rise would increase the number of days to 248.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"2010 South Carolina Environmental Conference Proceedings","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"2010 South Carolina Environmental Conference","conferenceDate":"March 13-17 2010","conferenceLocation":"Myrtle Beach, South Carolina","language":"English","publisher":"South Carolina Environmental Conference","usgsCitation":"Conrads, P., Roehl, E.A., Daamen, R.C., Cook, J., Sexton, C.T., Tufford, D.L., Carbone, G.J., and Dow, K., 2010, Estimating salinity intrusion effects due to climate change on the Lower Savannah River Estuary, in 2010 South Carolina Environmental Conference Proceedings, Myrtle Beach, South Carolina, March 13-17 2010, 8 p.","productDescription":"8 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":307596,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":307595,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://cisa.sc.edu/library_CPP.html","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Georgia, South Carolina","otherGeospatial":"Lower Savannah River Estuary","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -81.12866396878053,\n 31.73606362170419\n ],\n [\n -81.08922042433618,\n 31.729354188100046\n ],\n [\n -80.81705996766948,\n 31.98731612795615\n ],\n [\n -80.80128254989155,\n 32.057543979020494\n ],\n [\n -80.6750632076695,\n 32.17780922241056\n ],\n [\n -81.13260832322477,\n 32.38122972273655\n ],\n [\n -81.20755105766925,\n 32.29124741896493\n ],\n [\n -81.27460508322473,\n 31.906989849666886\n ],\n [\n -81.12866396878053,\n 31.73606362170419\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55e034b7e4b0f42e3d040e03","contributors":{"authors":[{"text":"Conrads, Paul 0000-0003-0408-4208 pconrads@usgs.gov","orcid":"https://orcid.org/0000-0003-0408-4208","contributorId":764,"corporation":false,"usgs":true,"family":"Conrads","given":"Paul","email":"pconrads@usgs.gov","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":570279,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Roehl, Edwin A.","contributorId":89242,"corporation":false,"usgs":true,"family":"Roehl","given":"Edwin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":570280,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Daamen, Ruby C.","contributorId":105391,"corporation":false,"usgs":true,"family":"Daamen","given":"Ruby","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":570281,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Cook, John B.","contributorId":45594,"corporation":false,"usgs":true,"family":"Cook","given":"John B.","affiliations":[],"preferred":false,"id":570282,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Sexton, Charles T.","contributorId":147101,"corporation":false,"usgs":false,"family":"Sexton","given":"Charles","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":570283,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Tufford, Daniel L. tufford@sc.edu","contributorId":147102,"corporation":false,"usgs":false,"family":"Tufford","given":"Daniel","email":"tufford@sc.edu","middleInitial":"L.","affiliations":[],"preferred":false,"id":570284,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Carbone, Gregory J. greg.carbone@sc.edu","contributorId":147103,"corporation":false,"usgs":false,"family":"Carbone","given":"Gregory","email":"greg.carbone@sc.edu","middleInitial":"J.","affiliations":[],"preferred":false,"id":570285,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Dow, Kristin","contributorId":147104,"corporation":false,"usgs":false,"family":"Dow","given":"Kristin","email":"","affiliations":[],"preferred":false,"id":570286,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}} ,{"id":70171521,"text":"70171521 - 2010 - Quantification of surface water and groundwater flows to open‐ and closed‐basin lakes in a headwaters watershed using a descriptive oxygen stable isotope model","interactions":[],"lastModifiedDate":"2018-04-03T13:36:43","indexId":"70171521","displayToPublicDate":"2010-03-13T15:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":3722,"text":"Water Resources Research","onlineIssn":"1944-7973","printIssn":"0043-1397","active":true,"publicationSubtype":{"id":10}},"title":"Quantification of surface water and groundwater flows to open‐ and closed‐basin lakes in a headwaters watershed using a descriptive oxygen stable isotope model","docAbstract":"Accurate quantification of hydrologic fluxes in lakes is important to resource management and for placing hydrologic solute flux in an appropriate biogeochemical context. Water stable isotopes can be used to describe water movements, but they are typically only effective in lakes with long water residence times. We developed a descriptive time series model of lake surface water oxygen‐18 stable isotope signature (δL) that was equally useful in open‐ and closed‐basin lakes with very different hydrologic residence times. The model was applied to six lakes, including two closed‐basin lakes and four lakes arranged in a chain connected by a river, located in a headwaters watershed. Groundwater discharge was calculated by manual optimization, and other hydrologic flows were constrained by measured values including precipitation, evaporation, and streamflow at several stream gages. Modeled and observed δL were highly correlated in all lakes (r = 0.84–0.98), suggesting that the model adequately described δL in these lakes. Average modeled stream discharge at two points along the river, 16,000 and 11,800 m3d−1, compares favorably with synoptic measurement of stream discharge at these sites, 17,600 and 13,700 m3 d−1, respectively. Water yields in this watershed were much higher, 0.23–0.45 m, than water yields calculated from gaged streamflow in regional rivers, approximately 0.10 m, suggesting that regional groundwater discharge supports water flux through these headwaters lakes. Sensitivity and robustness analyses also emphasized the importance of considering hydrologic residence time when designing a sampling protocol for stable isotope use in lake hydrology studies.
","language":"English","publisher":"American Geophysical Union","doi":"10.1029/2009WR007793","usgsCitation":"Stets, E., Winter, T.C., Rosenberry, D.O., and Striegl, R.G., 2010, Quantification of surface water and groundwater flows to open‐ and closed‐basin lakes in a headwaters watershed using a descriptive oxygen stable isotope model: Water Resources Research, v. 46, no. 3, Article W03515; 16 p., https://doi.org/10.1029/2009WR007793.","productDescription":"Article W03515; 16 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-011379","costCenters":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":475740,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1029/2009wr007793","text":"Publisher Index Page"},{"id":322109,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"46","issue":"3","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-03-13","publicationStatus":"PW","scienceBaseUri":"575158b8e4b053f0edd03c7f","contributors":{"authors":[{"text":"Stets, Edward G. estets@usgs.gov","contributorId":152533,"corporation":false,"usgs":true,"family":"Stets","given":"Edward G.","email":"estets@usgs.gov","affiliations":[{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":false,"id":631581,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Winter, Thomas C.","contributorId":84736,"corporation":false,"usgs":true,"family":"Winter","given":"Thomas","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":631578,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rosenberry, Donald O. 0000-0003-0681-5641 rosenber@usgs.gov","orcid":"https://orcid.org/0000-0003-0681-5641","contributorId":1312,"corporation":false,"usgs":true,"family":"Rosenberry","given":"Donald","email":"rosenber@usgs.gov","middleInitial":"O.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"preferred":true,"id":631579,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Striegl, Robert G. 0000-0002-8251-4659 rstriegl@usgs.gov","orcid":"https://orcid.org/0000-0002-8251-4659","contributorId":1630,"corporation":false,"usgs":true,"family":"Striegl","given":"Robert","email":"rstriegl@usgs.gov","middleInitial":"G.","affiliations":[{"id":200,"text":"Coop Res Unit Seattle","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":36183,"text":"Hydro-Ecological Interactions Branch","active":true,"usgs":true}],"preferred":false,"id":631580,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70043471,"text":"70043471 - 2010 - An integrated perspective of the continuum between earthquakes and slow-slip phenomena","interactions":[],"lastModifiedDate":"2017-01-11T16:11:20","indexId":"70043471","displayToPublicDate":"2010-03-10T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":2845,"text":"Nature Geoscience","active":true,"publicationSubtype":{"id":10}},"title":"An integrated perspective of the continuum between earthquakes and slow-slip phenomena","docAbstract":"The discovery of slow-slip phenomena has revolutionized our understanding of how faults accommodate relative plate motions. Faults were previously thought to relieve stress either through continuous aseismic sliding, or as earthquakes resulting from instantaneous failure of locked faults. In contrast, slow-slip events proceed so slowly that slip is limited and only low-frequency (or no) seismic waves radiate. We find that slow-slip phenomena are not unique to the depths (tens of kilometres) of subduction zone plate interfaces. They occur on faults in many settings, at numerous scales and owing to various loading processes, including landslides and glaciers. Taken together, the observations indicate that slowly slipping fault surfaces relax most of the accrued stresses through aseismic slip. Aseismic motion can trigger more rapid slip elsewhere on the fault that is sufficiently fast to generate seismic waves. The resulting radiation has characteristics ranging from those indicative of slow but seismic slip, to those typical of earthquakes. The mode of seismic slip depends on the inherent characteristics of the fault, such as the frictional properties. Slow-slip events have previously been classified as a distinct mode of fault slip compared with that seen in earthquakes. We conclude that instead, slip modes span a continuum and are of common occurrence.","language":"English","publisher":"Nature Publishing Group","doi":"10.1038/ngeo940","usgsCitation":"Peng, Z., and Gomberg, J., 2010, An integrated perspective of the continuum between earthquakes and slow-slip phenomena: Nature Geoscience, v. 3, p. 599-607, https://doi.org/10.1038/ngeo940.","productDescription":"9 p.","startPage":"599","endPage":"607","numberOfPages":"9","ipdsId":"IP-020384","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":272173,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"3","noUsgsAuthors":false,"publicationDate":"2010-08-22","publicationStatus":"PW","scienceBaseUri":"518e16dfe4b05ebc8f7cc2e2","contributors":{"authors":[{"text":"Peng, Zhigang","contributorId":69432,"corporation":false,"usgs":true,"family":"Peng","given":"Zhigang","affiliations":[],"preferred":false,"id":473660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gomberg, Joan","contributorId":77919,"corporation":false,"usgs":true,"family":"Gomberg","given":"Joan","affiliations":[],"preferred":false,"id":473661,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98253,"text":"ofr20091284 - 2010 - Geophysical characterization of subsurface properties relevant to the hydrology of the Standard Mine in Elk Basin, Colorado","interactions":[],"lastModifiedDate":"2022-07-01T21:52:18.189868","indexId":"ofr20091284","displayToPublicDate":"2010-03-09T00:00:00","publicationYear":"2010","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":"2009-1284","title":"Geophysical characterization of subsurface properties relevant to the hydrology of the Standard Mine in Elk Basin, Colorado","docAbstract":"Geophysical data were collected at the Standard Mine in Elk Basin near Crested Butte, Colorado, to help improve the U.S. Environmental Protection Agency's understanding of the hydrogeologic controls in the basin and how they affect surface and groundwater interactions with nearby mine workings. These data are discussed in the context of geologic observations at the site, the details of which are provided in a separate report. This integrated approach uses the geologic observations to help constrain subsurface information obtained from the analysis of surface geophysical measurements, which is a critical step toward using the geophysical data in a meaningful hydrogeologic framework. This approach combines the benefit of many direct but sparse field observations with spatially continuous but indirect measurements of physical properties through the use of geophysics. Surface geophysical data include: (1) electrical resistivity profiles aimed at imaging variability in subsurface structures and fluid content; (2) self-potentials, which are sensitive to mineralized zones at this site and, to a lesser extent, shallow-flow patterns; and (3) magnetic measurements, which provide information on lateral variability in near-surface geologic features, although there are few magnetic minerals in the rocks at this site.\r\n\r\nResults from the resistivity data indicate a general two-layer model in which an upper highly resistive unit, 3 to 10 meters thick, overlies a less resistive unit that is imaged to depths of 20 to 25 meters. The high resistivity of the upper unit likely is attributed to unsaturated conditions, meaning that the contact between the upper and lower units may correspond to the water table. Significant lateral heterogeneity is observed because of the presence of major features such as the Standard and Elk fault veins, as well as highly heterogeneous joint distributions. Very high resistivities (greater than 10 kiloohmmeters) are observed in locations that may correspond to more silicified, lower porosity rock. Several thin (2 to 3 meters deep and up to tens of meters wide) low-resistivity features in the very near surface coincide with observed surface-water drainage features at the site. These are limited to depths less than 3 meters and may indicate surface and very shallow groundwater flowing downhill on top of less permeable bedrock. The data do not clearly point to discrete zones of high infiltration, but these cannot be ruled out given the heterogeneous nature of joints in the shallow subsurface. Disseminated and localized electrically conductive mineralization do not appear to play a strong role in controlling the resistivity values, which generally are high throughout the site. \r\n\r\nThe self-potential analysis highlights the Standard fault vein, the northwest (NW) Elk vein near the Elk portal, and several polymetallic quartz veins. These features contain sulfide minerals in the subsurface that form an electrochemical cell that produces their distinct self-potential signal. A smaller component of the self-potential signal is attributed to relatively moderate topographically driven shallow groundwater flow, which is most prevalent in the vicinity of Elk Creek and to a lesser extent in the area of surface-water drainage below the Level 5 portal. Given the anomalies associated with the electrochemical weathering near the Standard fault vein, it is not possible to completely rule out downward infiltration of surface water and shallow groundwater intersected by the fault, though this is an unlikely scenario given the available data.\r\n\r\nMagnetic data show little variation, consistent with the mostly nonmagnetic host rocks and mineralization at the site, which is verified by magnetic susceptibility measurements and X-ray diffraction mineralogy data on local rock samples. The contact between the Ohio Creek Member of the Mesaverde Formation and Wasatch Formation coincides with a change in character of the magnetic signature, though","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr20091284","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Minsley, B.J., Ball, L.B., Burton, B., Caine, J.S., Curry-Elrod, E., and Manning, A.H., 2010, Geophysical characterization of subsurface properties relevant to the hydrology of the Standard Mine in Elk Basin, Colorado: U.S. Geological Survey Open-File Report 2009-1284, vi, 41 p., https://doi.org/10.3133/ofr20091284.","productDescription":"vi, 41 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":212,"text":"Crustal Imaging and Characterization","active":false,"usgs":true}],"links":[{"id":125798,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/Ofr_2009_1284.jpg"},{"id":402901,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_92030.htm","linkFileType":{"id":5,"text":"html"}},{"id":13506,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2009/1284/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Colorado","otherGeospatial":"Elk Basin, Standard Mine","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -107.0758,\n 38.8294\n ],\n [\n -107.0656,\n 38.8294\n ],\n [\n -107.0656,\n 38.8372\n ],\n [\n -107.0758,\n 38.8372\n ],\n [\n -107.0758,\n 38.8294\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c4cf","contributors":{"authors":[{"text":"Minsley, Burke J. 0000-0003-1689-1306 bminsley@usgs.gov","orcid":"https://orcid.org/0000-0003-1689-1306","contributorId":697,"corporation":false,"usgs":true,"family":"Minsley","given":"Burke","email":"bminsley@usgs.gov","middleInitial":"J.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":304810,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ball, Lyndsay B. 0000-0002-6356-4693 lbball@usgs.gov","orcid":"https://orcid.org/0000-0002-6356-4693","contributorId":1138,"corporation":false,"usgs":true,"family":"Ball","given":"Lyndsay","email":"lbball@usgs.gov","middleInitial":"B.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":304811,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Burton, Bethany L. 0000-0001-5011-7862 blburton@usgs.gov","orcid":"https://orcid.org/0000-0001-5011-7862","contributorId":1341,"corporation":false,"usgs":true,"family":"Burton","given":"Bethany L.","email":"blburton@usgs.gov","affiliations":[{"id":35995,"text":"Geology, Geophysics, and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":304813,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Caine, Jonathan S. 0000-0002-7269-6989 jscaine@usgs.gov","orcid":"https://orcid.org/0000-0002-7269-6989","contributorId":1272,"corporation":false,"usgs":true,"family":"Caine","given":"Jonathan","email":"jscaine@usgs.gov","middleInitial":"S.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":false,"id":304814,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Curry-Elrod, Erika","contributorId":83634,"corporation":false,"usgs":true,"family":"Curry-Elrod","given":"Erika","email":"","affiliations":[],"preferred":false,"id":304815,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Manning, Andrew H. 0000-0002-6404-1237 amanning@usgs.gov","orcid":"https://orcid.org/0000-0002-6404-1237","contributorId":1305,"corporation":false,"usgs":true,"family":"Manning","given":"Andrew","email":"amanning@usgs.gov","middleInitial":"H.","affiliations":[{"id":171,"text":"Central Mineral and Environmental Resources Science Center","active":true,"usgs":true}],"preferred":true,"id":304812,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":98231,"text":"ofr20101027 - 2010 - Multitemporal L- and C-Band synthetic aperture radar to highlight differences in water status among boreal forest and wetland systems in the Yukon Flats, Interior Alaska","interactions":[],"lastModifiedDate":"2019-06-05T08:06:10","indexId":"ofr20101027","displayToPublicDate":"2010-03-06T00:00:00","publicationYear":"2010","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":"2010-1027","title":"Multitemporal L- and C-Band synthetic aperture radar to highlight differences in water status among boreal forest and wetland systems in the Yukon Flats, Interior Alaska","docAbstract":"Tracking landscape-scale water status in high-latitude boreal systems is indispensable to understanding the fate of stored and sequestered carbon in a climate change scenario. Spaceborne synthetic aperture radar (SAR) imagery provides critical information for water and moisture status in Alaskan boreal environments at the landscape scale. When combined with results from optical sensor analyses, a complementary picture of vegetation, biomass, and water status emerges. Whereas L-band SAR showed better inherent capacity to map water status, C-band had much more temporal coverage in this study. Analysis through the use of L- and C-band SARs combined with Landsat Enhanced Thematic Mapper Plus (ETM+) enables landscape stratification by vegetation and by seasonal and interannual hydrology. Resultant classifications are highly relevant to biogeochemistry at the landscape scale. These results enhance our understanding of ecosystem processes relevant to carbon balance and may be scaled up to inform regional carbon flux estimates and better parameterize general circulation models (GCMs).
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20101027","usgsCitation":"Balser, A.W., and Wylie, B.K., 2010, Multitemporal L- and C-Band synthetic aperture radar to highlight differences in water status among boreal forest and wetland systems in the Yukon Flats, Interior Alaska: U.S. Geological Survey Open-File Report 2010-1027, iv, 21 p. , https://doi.org/10.3133/ofr20101027.","productDescription":"iv, 21 p. ","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"links":[{"id":126472,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr_2010_1027.jpg"},{"id":13492,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2010/1027/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -146.43333333333334,66.18333333333334 ], [ -146.43333333333334,66.38333333333334 ], [ -145.88333333333333,66.38333333333334 ], [ -145.88333333333333,66.18333333333334 ], [ -146.43333333333334,66.18333333333334 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b48d4","contributors":{"authors":[{"text":"Balser, Andrew W.","contributorId":100965,"corporation":false,"usgs":true,"family":"Balser","given":"Andrew","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":304733,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wylie, Bruce K. 0000-0002-7374-1083 wylie@usgs.gov","orcid":"https://orcid.org/0000-0002-7374-1083","contributorId":750,"corporation":false,"usgs":true,"family":"Wylie","given":"Bruce","email":"wylie@usgs.gov","middleInitial":"K.","affiliations":[{"id":223,"text":"Earth Resources Observation and Science (EROS) Center (Geography)","active":false,"usgs":true},{"id":222,"text":"Earth Resources Observation and Science (EROS) Center","active":true,"usgs":true}],"preferred":true,"id":304732,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98229,"text":"sir20095243 - 2010 - Multilevel Hierarchical Modeling of Benthic Macroinvertebrate Responses to Urbanization in Nine Metropolitan Regions across the Conterminous United States","interactions":[],"lastModifiedDate":"2012-03-08T17:16:29","indexId":"sir20095243","displayToPublicDate":"2010-03-05T00:00:00","publicationYear":"2010","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":"2009-5243","title":"Multilevel Hierarchical Modeling of Benthic Macroinvertebrate Responses to Urbanization in Nine Metropolitan Regions across the Conterminous United States","docAbstract":"Multilevel hierarchical modeling methodology has been developed for use in ecological data analysis. The effect of urbanization on stream macroinvertebrate communities was measured across a gradient of basins in each of nine metropolitan regions across the conterminous United States. The hierarchical nature of this dataset was harnessed in a multi-tiered model structure, predicting both invertebrate response at the basin scale and differences in invertebrate response at the region scale. Ordination site scores, total taxa richness, Ephemeroptera, Plecoptera, Trichoptera (EPT) taxa richness, and richness-weighted mean tolerance of organisms at a site were used to describe invertebrate responses. Percentage of urban land cover was used as a basin-level predictor variable. Regional mean precipitation, air temperature, and antecedent agriculture were used as region-level predictor variables. Multilevel hierarchical models were fit to both levels of data simultaneously, borrowing statistical strength from the complete dataset to reduce uncertainty in regional coefficient estimates. Additionally, whereas non-hierarchical regressions were only able to show differing relations between invertebrate responses and urban intensity separately for each region, the multilevel hierarchical regressions were able to explain and quantify those differences within a single model. In this way, this modeling approach directly establishes the importance of antecedent agricultural conditions in masking the response of invertebrates to urbanization in metropolitan regions such as Milwaukee-Green Bay, Wisconsin; Denver, Colorado; and Dallas-Fort Worth, Texas. Also, these models show that regions with high precipitation, such as Atlanta, Georgia; Birmingham, Alabama; and Portland, Oregon, start out with better regional background conditions of invertebrates prior to urbanization but experience faster negative rates of change with urbanization. Ultimately, this urbanization-invertebrate response example is used to detail the multilevel hierarchical construction methodology, showing how the result is a set of models that are both statistically more rigorous and ecologically more interpretable than simple linear regression models.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/sir20095243","collaboration":"National Water-Quality Assessment Program","usgsCitation":"Kashuba, R., Cha, Y., Alameddine, I., Lee, B., and Cuffney, T.F., 2010, Multilevel Hierarchical Modeling of Benthic Macroinvertebrate Responses to Urbanization in Nine Metropolitan Regions across the Conterminous United States: U.S. Geological Survey Scientific Investigations Report 2009-5243, xi, 88p., https://doi.org/10.3133/sir20095243.","productDescription":"xi, 88p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":125364,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2009_5243.jpg"},{"id":13490,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2009/5243/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -65,23 ], [ -65,50 ], [ -125,50 ], [ -125,23 ], [ -65,23 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b32e4b07f02db6b4890","contributors":{"authors":[{"text":"Kashuba, Roxolana","contributorId":82814,"corporation":false,"usgs":true,"family":"Kashuba","given":"Roxolana","affiliations":[],"preferred":false,"id":304731,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cha, YoonKyung","contributorId":9741,"corporation":false,"usgs":true,"family":"Cha","given":"YoonKyung","email":"","affiliations":[],"preferred":false,"id":304728,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Alameddine, Ibrahim","contributorId":22459,"corporation":false,"usgs":true,"family":"Alameddine","given":"Ibrahim","email":"","affiliations":[],"preferred":false,"id":304730,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Lee, Boknam","contributorId":14533,"corporation":false,"usgs":true,"family":"Lee","given":"Boknam","email":"","affiliations":[],"preferred":false,"id":304729,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Cuffney, Thomas F. 0000-0003-1164-5560 tcuffney@usgs.gov","orcid":"https://orcid.org/0000-0003-1164-5560","contributorId":517,"corporation":false,"usgs":true,"family":"Cuffney","given":"Thomas","email":"tcuffney@usgs.gov","middleInitial":"F.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":304727,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":70157126,"text":"70157126 - 2010 - Three-dimensional site response at KiK-net downhole arrays","interactions":[],"lastModifiedDate":"2021-10-21T14:54:50.548878","indexId":"70157126","displayToPublicDate":"2010-03-05T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Three-dimensional site response at KiK-net downhole arrays","docAbstract":"Ground motions at two Kiban-Kyoshin Network (KiK-net) strong motion downhole array sites in Hokkaido, Japan (TKCH08 in Taiki and TKCH05 in Honbetsu) illustrate the importance of three-dimensional (3D) site effects. These sites recorded the M8.0 2003 Tokachi-Oki earthquake, with recorded accelerations above 0.4 g at both sites as well as numerous ground motions from smaller events. Weak ground motions indicate that site TKCH08 is well modeled with the assumption of plane SH waves traveling through a 1D medium (SH1D), while TKCH05 is characteristic of a poor fit to the SH1D theoretical response. We hypothesized that the misfit at TKCH05results from the heterogeneity of the subsurface. To test this hypothesis, we measured four S-wave velocity profiles in the vicinity (< 300 m) of each site with the spectral analysis of surface waves (SASW) method. This KiK-net site pair is ideal for assessing the relative importance of 3D site effects and nonlinear site effects. The linear ground motions at TKCH05 isolate the 3D site effects, as we hypothesized from the linear ground motions and confirmed with our subsequent SASW surveys. The Tokachi-Oki time history at TKCH08 isolates the effects of nonlinearity from spatial heterogeneity because the 3D effects are negligible. The Tokachi-Oki time history at TKCH05 includes both nonlinear and 3D site effects. Comparisons of the accuracy of the SH1D model predictions of these surface time histories from the downhole time histories indicates that the 3D site effects are at least as important as nonlinear effects in this case. The errors associated with the assumption of a 1D medium and 1D wave propagation will be carried into a nonlinear analysis that relies on these same assumptions. Thus, the presence of 3D effects should be ruled out prior to a 1D nonlinear analysis. The SH1D residuals show that 3D effects can be mistaken for nonlinear effects.
","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Joint conference proceedings: 7th international conference on urban earthquake engineering (7CUEE), 5th international conference on earthquake engineering (5ICEE)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"7th International Conference on Urban Earthquake Engineering (7CUEE) & 5th International Conference on Earthquake Engineering (5ICEE)","conferenceDate":"March 3-5, 2010","conferenceLocation":"Tokyo, Japan","language":"English","publisher":"Center for Urban Earthquake Engineering","usgsCitation":"Thompson, E., Tanaka, Y., Baise, L.G., and Kayen, R., 2010, Three-dimensional site response at KiK-net downhole arrays, in Joint conference proceedings: 7th international conference on urban earthquake engineering (7CUEE), 5th international conference on earthquake engineering (5ICEE), Tokyo, Japan, March 3-5, 2010, 9 p.","productDescription":"9 p.","onlineOnly":"N","additionalOnlineFiles":"N","ipdsId":"IP-018649","costCenters":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"links":[{"id":307976,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Japan","otherGeospatial":"Hokkaido","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n 142.767333984375,\n 43.78695837311561\n ],\n [\n 143.690185546875,\n 43.78695837311561\n ],\n [\n 143.690185546875,\n 44.59829048984011\n ],\n [\n 142.767333984375,\n 44.59829048984011\n ],\n [\n 142.767333984375,\n 43.78695837311561\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"55f006aee4b0dacf699ea004","contributors":{"authors":[{"text":"Thompson, Eric M.","contributorId":48501,"corporation":false,"usgs":true,"family":"Thompson","given":"Eric M.","affiliations":[],"preferred":false,"id":571749,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tanaka, Yasuo","contributorId":86866,"corporation":false,"usgs":true,"family":"Tanaka","given":"Yasuo","affiliations":[],"preferred":false,"id":571750,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baise, Laurie G.","contributorId":52859,"corporation":false,"usgs":true,"family":"Baise","given":"Laurie","email":"","middleInitial":"G.","affiliations":[],"preferred":false,"id":571751,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Kayen, Robert E. rkayen@usgs.gov","contributorId":2787,"corporation":false,"usgs":true,"family":"Kayen","given":"Robert E.","email":"rkayen@usgs.gov","affiliations":[{"id":520,"text":"Pacific Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":571752,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":70182535,"text":"70182535 - 2010 - The influence of nutrients and physical habitat in regulating algal biomass in agricultural streams","interactions":[],"lastModifiedDate":"2017-05-03T13:35:09","indexId":"70182535","displayToPublicDate":"2010-03-04T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1547,"text":"Environmental Management","active":true,"publicationSubtype":{"id":10}},"title":"The influence of nutrients and physical habitat in regulating algal biomass in agricultural streams","docAbstract":"This study examined the relative influence of nutrients (nitrogen and phosphorus) and habitat on algal biomass in five agricultural regions of the United States. Sites were selected to capture a range of nutrient conditions, with 136 sites distributed over five study areas. Samples were collected in either 2003 or 2004, and analyzed for nutrients (nitrogen and phosphorous) and algal biomass (chlorophyll a). Chlorophyll a was measured in three types of samples, fine-grained benthic material (CHLFG), coarse-grained stable substrate as in rock or wood (CHLCG), and water column (CHLS). Stream and riparian habitat were characterized at each site. TP ranged from 0.004–2.69 mg/l and TN from 0.15–21.5 mg/l, with TN concentrations highest in Nebraska and Indiana streams and TP highest in Nebraska. Benthic algal biomass ranged from 0.47–615 mg/m2, with higher values generally associated with coarse-grained substrate. Seston chlorophyll ranged from 0.2–73.1 μg/l, with highest concentrations in Nebraska. Regression models were developed to predict algal biomass as a function of TP and/or TN. Seven models were statistically significant, six for TP and one for TN; r2 values ranged from 0.03 to 0.44. No significant regression models could be developed for the two study areas in the Midwest. Model performance increased when stream habitat variables were incorporated, with 12 significant models and an increase in the r2 values (0.16–0.54). Water temperature and percent riparian canopy cover were the most important physical variables in the models. While models that predict algal chlorophyll a as a function of nutrients can be useful, model strength is commonly low due to the overriding influence of stream habitat. Results from our study are presented in context of a nutrient-algal biomass conceptual model.
","language":"English","publisher":"Springer","publisherLocation":"New York","doi":"10.1007/s00267-010-9435-0","usgsCitation":"Munn, M.D., Frey, J.W., and Tesoriero, A., 2010, The influence of nutrients and physical habitat in regulating algal biomass in agricultural streams: Environmental Management, v. 45, no. 3, p. 603-615, https://doi.org/10.1007/s00267-010-9435-0.","productDescription":"13 p.","startPage":"603","endPage":"615","ipdsId":"IP-006680","costCenters":[],"links":[{"id":475743,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s00267-010-9435-0","text":"Publisher Index Page"},{"id":336185,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -121.55273437499999,\n 45.27488643704891\n ],\n [\n -115.26855468749999,\n 45.27488643704891\n ],\n [\n -115.26855468749999,\n 48.19538740833338\n ],\n [\n -121.55273437499999,\n 48.19538740833338\n ],\n [\n -121.55273437499999,\n 45.27488643704891\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -102.7880859375,\n 40.01078714046552\n ],\n [\n -95.2294921875,\n 40.01078714046552\n ],\n [\n -95.2294921875,\n 42.84375132629021\n ],\n [\n -102.7880859375,\n 42.84375132629021\n ],\n [\n -102.7880859375,\n 40.01078714046552\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -87.62695312499999,\n 38.16911413556086\n ],\n [\n -83.4521484375,\n 38.16911413556086\n ],\n [\n -83.4521484375,\n 40.54720023441049\n ],\n [\n -87.62695312499999,\n 40.54720023441049\n ],\n [\n -87.62695312499999,\n 38.16911413556086\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -76.640625,\n 36.98500309285596\n ],\n [\n -74.794921875,\n 36.98500309285596\n ],\n [\n -74.794921875,\n 39.80853604144591\n ],\n [\n -76.640625,\n 39.80853604144591\n ],\n [\n -76.640625,\n 36.98500309285596\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -86.1328125,\n 30.29701788337205\n ],\n [\n -81.6064453125,\n 30.29701788337205\n ],\n [\n -81.6064453125,\n 34.415973384481866\n ],\n [\n -86.1328125,\n 34.415973384481866\n ],\n [\n -86.1328125,\n 30.29701788337205\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"45","issue":"3","noUsgsAuthors":false,"publicationDate":"2010-02-09","publicationStatus":"PW","scienceBaseUri":"58b1543be4b01ccd54fc5ea7","contributors":{"authors":[{"text":"Munn, Mark D. 0000-0002-7154-7252 mdmunn@usgs.gov","orcid":"https://orcid.org/0000-0002-7154-7252","contributorId":976,"corporation":false,"usgs":true,"family":"Munn","given":"Mark","email":"mdmunn@usgs.gov","middleInitial":"D.","affiliations":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"preferred":true,"id":671453,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Frey, Jeffrey W. 0000-0002-3453-5009 jwfrey@usgs.gov","orcid":"https://orcid.org/0000-0002-3453-5009","contributorId":487,"corporation":false,"usgs":true,"family":"Frey","given":"Jeffrey","email":"jwfrey@usgs.gov","middleInitial":"W.","affiliations":[{"id":35860,"text":"Ohio-Kentucky-Indiana Water Science Center","active":true,"usgs":true},{"id":27231,"text":"Indiana-Kentucky Water Science Center","active":true,"usgs":true},{"id":346,"text":"Indiana Water Science Center","active":true,"usgs":true}],"preferred":true,"id":671454,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tesoriero, Anthony J.","contributorId":40207,"corporation":false,"usgs":true,"family":"Tesoriero","given":"Anthony J.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true}],"preferred":false,"id":671455,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":98221,"text":"ds482 - 2010 - EAARL coastal topography-western Florida, post-Hurricane Charley, 2004: seamless (bare earth and submerged. ","interactions":[],"lastModifiedDate":"2012-02-10T00:11:53","indexId":"ds482","displayToPublicDate":"2010-03-02T00:00:00","publicationYear":"2010","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":"482","title":"EAARL coastal topography-western Florida, post-Hurricane Charley, 2004: seamless (bare earth and submerged. ","docAbstract":"Project Description\r\n\r\nThese remotely sensed, geographically referenced elevation measurements of lidar-derived seamless (bare-earth and submerged) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Coastal and Marine Geology Program (CMGP), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.\r\n\r\nThis project provides highly detailed and accurate datasets of a portion of the western Florida coastline beachface, acquired post-Hurricane Charley on August 17 and 18, 2004. The datasets are made available for use as a management tool to research scientists and natural-resource managers. An innovative airborne lidar instrument originally developed at the NASA Wallops Flight Facility, and known as the Experimental Advanced Airborne Research Lidar (EAARL), was used during data acquisition. The EAARL system is a raster-scanning, waveform-resolving, green-wavelength (532-nanometer) lidar designed to map near-shore bathymetry, topography, and vegetation structure simultaneously. The EAARL sensor suite includes the raster-scanning, water-penetrating full-waveform adaptive lidar, a down-looking red-green-blue (RGB) digital camera, a high-resolution multispectral color infrared (CIR) camera, two precision dual-frequency kinematic carrier-phase GPS receivers, and an integrated miniature digital inertial measurement unit, which provide for sub-meter georeferencing of each laser sample. The nominal EAARL platform is a twin-engine Cessna 310 aircraft, but the instrument may be deployed on a range of light aircraft. A single pilot, a lidar operator, and a data analyst constitute the crew for most survey operations. This sensor has the potential to make significant contributions in measuring sub-aerial and submarine coastal topography within cross-environmental surveys.\r\n\r\nElevation measurements were collected over the survey area using the EAARL system, and the resulting data were then processed using the Airborne Lidar Processing System (ALPS), a custom-built processing system developed in a NASA-USGS collaboration. ALPS supports the exploration and processing of lidar data in an interactive or batch mode. Modules for presurvey flight-line definition, flight-path plotting, lidar raster and waveform investigation, and digital camera image playback have been developed. Processing algorithms have been developed to extract the range to the first and last significant return within each waveform. ALPS is used routinely to create maps that represent submerged or sub-aerial topography. Specialized filtering algorithms have been implemented to determine the 'bare earth' under vegetation.\r\n\r\nFor more information about similar projects, please visit the Decision Support for Coastal Science and Management website.\r\n\r\nSelected References\r\n\r\nBrock, J.C., Wright, C.W., Sallenger, A.H., Krabill, W.B., and Swift, R.N., 2002, Basis and methods of NASA airborne topographic mapper Lidar surveys for coastal studies: Journal of Coastal Research, v. 18, no. 1, p. 1-13.\r\n\r\nCrane, Michael, Clayton, Tonya, Raabe, Ellen, Stoker, Jason, Handley, Larry, Bawden, Gerald, Morgan, Karen, and Queija, Vivian, 2004, Report of the U.S. Geological Survey Lidar workshop sponsored by the Land Remote Sensing Program and held in St. Petersburg, FL, November 2002: U.S. Geological Survey Open-File Report 2004-1456, 72 p.\r\n\r\nNayegandhi, Amar, Brock, J.C., and Wright, C.W., 2009, Small-footprint, waveform-resolving Lidar estimation of submerged and sub-canopy topography in coastal environments: International Journal of Remote Sensing, v. 30, no. 4, p. 861-878.\r\n\r\nSallenger, A.H., Wright, C.W., and Lillycrop, Jeff, 2005, Coastal impacts of the 2004 hurricanes measured with airborne Lidar; initial results: Shore and Beach, v. 73, nos. 2-3, p. 10-14.\r\n\r\nResources Included\r\n\r\nReadme.txt File\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds482","collaboration":"These remotely sensed, geographically referenced elevation measurements of lidar-derived seamless (bare-earth and submerged) topography were produced as a collaborative effort between the U.S. Geological Survey (USGS), Coastal and Marine Geology Program (CMGP), St. Petersburg, FL, and the National Aeronautics and Space Administration (NASA), Wallops Flight Facility, VA.","usgsCitation":"Nayegandhi, A., Bonisteel, J.M., Wright, C.W., Sallenger, A., Brock, J., and Yates, X., 2010, EAARL coastal topography-western Florida, post-Hurricane Charley, 2004: seamless (bare earth and submerged. : U.S. Geological Survey Data Series 482, DVD, https://doi.org/10.3133/ds482.","productDescription":"DVD","onlineOnly":"N","costCenters":[{"id":186,"text":"Coastal and Marine Geology Program","active":true,"usgs":true}],"links":[{"id":125800,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_482.jpg"},{"id":13479,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/482/index.html","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -82.5,26.333333333333332 ], [ -82.5,27.333333333333332 ], [ -82,27.333333333333332 ], [ -82,26.333333333333332 ], [ -82.5,26.333333333333332 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c33d","contributors":{"authors":[{"text":"Nayegandhi, Amar","contributorId":37292,"corporation":false,"usgs":true,"family":"Nayegandhi","given":"Amar","affiliations":[],"preferred":false,"id":304699,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bonisteel, Jamie M.","contributorId":12005,"corporation":false,"usgs":true,"family":"Bonisteel","given":"Jamie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":304698,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wright, C. Wayne wwright@usgs.gov","contributorId":57422,"corporation":false,"usgs":true,"family":"Wright","given":"C.","email":"wwright@usgs.gov","middleInitial":"Wayne","affiliations":[],"preferred":false,"id":304700,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sallenger, A. H.","contributorId":78290,"corporation":false,"usgs":true,"family":"Sallenger","given":"A. H.","affiliations":[],"preferred":false,"id":304701,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Brock, John 0000-0002-5289-9332 jbrock@usgs.gov","orcid":"https://orcid.org/0000-0002-5289-9332","contributorId":2261,"corporation":false,"usgs":true,"family":"Brock","given":"John","email":"jbrock@usgs.gov","affiliations":[{"id":5061,"text":"National Cooperative Geologic Mapping and Landslide Hazards","active":true,"usgs":true}],"preferred":true,"id":304697,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Yates, Xan","contributorId":78291,"corporation":false,"usgs":true,"family":"Yates","given":"Xan","email":"","affiliations":[],"preferred":false,"id":304702,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":70156094,"text":"70156094 - 2010 - Assessing effects of water abstraction on fish assemblages in Mediterranean streams","interactions":[],"lastModifiedDate":"2016-02-16T12:27:10","indexId":"70156094","displayToPublicDate":"2010-03-01T12:15:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1696,"text":"Freshwater Biology","active":true,"publicationSubtype":{"id":10}},"title":"Assessing effects of water abstraction on fish assemblages in Mediterranean streams","docAbstract":"1. Water abstraction strongly affects streams in arid and semiarid ecosystems, particularly where there is a Mediterranean climate. Excessive abstraction reduces the availability of water for human uses downstream and impairs the capacity of streams to support native biota.
\n2. We investigated the flow regime and related variables in six river basins of the Iberian Peninsula and show that they have been strongly altered, with declining flows (autoregressive models) and groundwater levels during the 20th century. These streams had lower flows and more frequent droughts than predicted by the official hydrological model used in this region. Three of these rivers were sometimes dry, whereas there were predicted by the model to be permanently flowing. Meanwhile, there has been no decrease in annual precipitation.
\n3. We also investigated the fish assemblage of a stream in one of these river basins (Tordera) for 6 years and show that sites more affected by water abstraction display significant differences in four fish metrics (catch per unit effort, number of benthic species, number of intolerant species and proportional abundance of intolerant individuals) commonly used to assess the biotic condition of streams.
\n4. We discuss the utility of these metrics in assessing impacts of water abstraction and point out the need for detailed characterisation of the natural flow regime (and hence drought events) prior to the application of biotic indices in streams severely affected by water abstraction. In particular, in cases of artificially dry streams, it is more appropriate for regulatory agencies to assign index scores that reflect biotic degradation than to assign ‘missing’ scores, as is presently customary in assessments of Iberian streams.
\nPhytoplankton variability is a primary driver of chemical and biological dynamics in the coastal zone because it directly affects water quality, biogeochemical cycling of reactive elements, and food supply to consumer organisms. Much has been learned about patterns of phytoplankton variability within individual ecosystems, but patterns have not been compared across the diversity of ecosystem types where marine waters are influenced by connectivity to land. We extracted patterns from chlorophyll-a series measured at 84 estuarine–coastal sites, using a model that decomposes time series into an annual effect, mean seasonal pattern, and residual “events.” Comparisons across sites revealed a large range of variability patterns, with some dominated by a recurrent seasonal pattern, others dominated by annual (i.e., year-to-year) variability as trends or regime shifts and others dominated by the residual component, which includes exceptional bloom events such as red tides. Why is the partitioning of phytoplankton variability at these three scales so diverse? We propose a hypothesis to guide next steps of comparative analysis: large year-to-year variability is a response to disturbance from human activities or shifts in the climate system; strong seasonal patterns develop where the governing processes are linked to the annual climate cycle; and large event-scale variability occurs at sites highly enriched with nutrients. Patterns of phytoplankton variability are therefore shaped by the site-specific relative importance of disturbance, annual climatology, and nutrient enrichment.
","language":"English","publisher":"Springer-Verlag","doi":"10.1007/s12237-009-9195-3","usgsCitation":"Cloern, J.E., and Jassby, A.D., 2010, Patterns and scales of phytoplankton variability in estuarine: Coastal ecosystems: Estuaries and Coasts, v. 33, no. 2, p. 230-241, https://doi.org/10.1007/s12237-009-9195-3.","productDescription":"12 p.","startPage":"230","endPage":"241","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":475747,"rank":0,"type":{"id":40,"text":"Open Access Publisher Index Page"},"url":"https://doi.org/10.1007/s12237-009-9195-3","text":"Publisher Index Page"},{"id":358225,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"volume":"33","issue":"2","noUsgsAuthors":false,"publicationDate":"2009-07-25","publicationStatus":"PW","scienceBaseUri":"5c10c749e4b034bf6a7f5444","contributors":{"authors":[{"text":"Cloern, James E. 0000-0002-5880-6862 jecloern@usgs.gov","orcid":"https://orcid.org/0000-0002-5880-6862","contributorId":1488,"corporation":false,"usgs":true,"family":"Cloern","given":"James","email":"jecloern@usgs.gov","middleInitial":"E.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":747629,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jassby, Alan D.","contributorId":66403,"corporation":false,"usgs":true,"family":"Jassby","given":"Alan","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":747630,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":70189906,"text":"70189906 - 2010 - The influence of topology on hydraulic conductivity in a sand-and-gravel aquifer","interactions":[],"lastModifiedDate":"2021-03-25T20:48:12.732002","indexId":"70189906","displayToPublicDate":"2010-03-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"The influence of topology on hydraulic conductivity in a sand-and-gravel aquifer","docAbstract":"A field experiment consisting of geophysical logging and tracer testing was conducted in a single well that penetrated a sand‐and‐gravel aquifer at the U.S. Geological Survey Toxic Substances Hydrology research site on Cape Cod, Massachusetts. Geophysical logs and flowmeter/pumping measurements were obtained to estimate vertical profiles of porosity ϕ, hydraulic conductivity K, temperature, and bulk electrical conductivity under background, freshwater conditions. Saline‐tracer fluid was then injected into the well for 2 h and its radial migration into the surrounding deposits was monitored by recording an electromagnetic‐induction log every 10 min. The field data are analyzed and interpreted primarily through the use of Archie's (1942) law to investigate the role of topological factors such as pore geometry and connectivity, and grain size and packing configuration in regulating fluid flow through these coarse‐grained materials. The logs reveal no significant correlation between K and ϕ, and imply that groundwater models that link these two properties may not be useful at this site. Rather, it is the distribution and connectivity of the fluid phase as defined by formation factor F, cementation index m, and tortuosity α that primarily control the hydraulic conductivity. Results show that F correlates well with K, thereby indicating that induction logs provide qualitative information on the distribution of hydraulic conductivity. A comparison of α, which incorporates porosity data, with K produces only a slightly better correlation and further emphasizes the weak influence of the bulk value of ϕ on K.
","language":"English","publisher":"National Ground Water Association","doi":"10.1111/j.1745-6584.2009.00646.x","usgsCitation":"Morin, R.H., LeBlanc, D.R., and Troutman, B., 2010, The influence of topology on hydraulic conductivity in a sand-and-gravel aquifer: Ground Water, v. 48, no. 2, p. 181-190, https://doi.org/10.1111/j.1745-6584.2009.00646.x.","productDescription":"10 p.","startPage":"181","endPage":"190","ipdsId":"IP-013164","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true},{"id":5044,"text":"National Research Program - Central Branch","active":true,"usgs":true}],"links":[{"id":344493,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Massachusetts","city":"Cape Cod","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -70.5596923828125,\n 41.58360681482734\n ],\n [\n -70.51986694335938,\n 41.58360681482734\n ],\n [\n -70.51986694335938,\n 41.62673502076991\n ],\n [\n -70.5596923828125,\n 41.62673502076991\n ],\n [\n -70.5596923828125,\n 41.58360681482734\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"48","issue":"2","publishingServiceCenter":{"id":2,"text":"Denver PSC"},"noUsgsAuthors":false,"publicationDate":"2010-02-25","publicationStatus":"PW","scienceBaseUri":"59819317e4b0e2f5d463b7b5","contributors":{"authors":[{"text":"Morin, Roger H. rhmorin@usgs.gov","contributorId":2432,"corporation":false,"usgs":true,"family":"Morin","given":"Roger","email":"rhmorin@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":706725,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"LeBlanc, Denis R. 0000-0002-4646-2628 dleblanc@usgs.gov","orcid":"https://orcid.org/0000-0002-4646-2628","contributorId":1696,"corporation":false,"usgs":true,"family":"LeBlanc","given":"Denis","email":"dleblanc@usgs.gov","middleInitial":"R.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":706724,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Troutman, Brent M.","contributorId":41040,"corporation":false,"usgs":true,"family":"Troutman","given":"Brent M.","affiliations":[],"preferred":false,"id":706726,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":70044275,"text":"70044275 - 2010 - Representing pump-capacity relations in groundwater simulation models","interactions":[],"lastModifiedDate":"2018-10-10T11:19:35","indexId":"70044275","displayToPublicDate":"2010-03-01T00:00:00","publicationYear":"2010","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1861,"text":"Ground Water","active":true,"publicationSubtype":{"id":10}},"title":"Representing pump-capacity relations in groundwater simulation models","docAbstract":"The yield (or discharge) of constant-speed pumps varies with the total dynamic head (or lift) against which the pump is discharging. The variation in yield over the operating range of the pump may be substantial. In groundwater simulations that are used for management evaluations or other purposes, where predictive accuracy depends on the reliability of future discharge estimates, model reliability may be enhanced by including the effects of head-capacity (or pump-capacity) relations on the discharge from the well. A relatively simple algorithm has been incorporated into the widely used MODFLOW groundwater flow model that allows a model user to specify head-capacity curves. The algorithm causes the model to automatically adjust the pumping rate each time step to account for the effect of drawdown in the cell and changing lift, and will shut the pump off if lift exceeds a critical value. The algorithm is available as part of a new multinode well package (MNW2) for MODFLOW.","largerWorkType":{"id":2,"text":"Article"},"largerWorkTitle":"Ground Water","largerWorkSubtype":{"id":10,"text":"Journal Article"},"language":"English","publisher":"Wiley","doi":"10.1111/j.1745-6584.2009.00619.x","usgsCitation":"Konikow, L.F., 2010, Representing pump-capacity relations in groundwater simulation models: Ground Water, v. 48, no. 1, p. 106-110, https://doi.org/10.1111/j.1745-6584.2009.00619.x.","productDescription":"5 p.","startPage":"106","endPage":"110","ipdsId":"IP-013889","costCenters":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":270860,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":270859,"type":{"id":10,"text":"Digital Object Identifier"},"url":"https://dx.doi.org/10.1111/j.1745-6584.2009.00619.x"}],"country":"United States","volume":"48","issue":"1","noUsgsAuthors":false,"publicationDate":"2009-12-23","publicationStatus":"PW","scienceBaseUri":"53cd707ae4b0b2908510711a","contributors":{"authors":[{"text":"Konikow, Leonard F. 0000-0002-0940-3856 lkonikow@usgs.gov","orcid":"https://orcid.org/0000-0002-0940-3856","contributorId":158,"corporation":false,"usgs":true,"family":"Konikow","given":"Leonard","email":"lkonikow@usgs.gov","middleInitial":"F.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":475228,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":98204,"text":"ds494 - 2010 - Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 1999–2005","interactions":[],"lastModifiedDate":"2022-07-13T18:45:41.08495","indexId":"ds494","displayToPublicDate":"2010-02-18T00:00:00","publicationYear":"2010","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":"494","title":"Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 1999–2005","docAbstract":"The Cedar River alluvial aquifer is the primary source of municipal water in the Cedar Rapids, Iowa area. Municipal wells are completed in the alluvial aquifer at approximately 40 to 80 feet deep. The City of Cedar Rapids and the U.S. Geological Survey have been conducting a cooperative study of the groundwater-flow system and water quality near the well fields since 1992. Previous cooperative studies between the City of Cedar Rapids and the U.S. Geological Survey have documented hydrologic and water-quality data, geochemistry, and groundwater models. Water-quality samples were collected for studies involving well field monitoring, trends, source-water protection, groundwater geochemistry, evaluation of surface and ground-water interaction, assessment of pesticides in groundwater and surface water, and to evaluate water quality near a wetland area in the Seminole well field. Typical water-quality analyses included major ions (boron, bromide, calcium, chloride, fluoride, iron, magnesium, manganese, potassium, silica, sodium, and sulfate), nutrients (ammonia as nitrogen, nitrite as nitrogen, nitrite plus nitrate as nitrogen, and orthophosphate as phosphorus), dissolved organic carbon, and selected pesticides including two degradates of the herbicide atrazine. In addition, two synoptic samplings included analyses of additional pesticide degradates in water samples. Physical field parameters (alkalinity, dissolved oxygen, pH, specific conductance and water temperature) were recorded with each water sample collected. This report presents the results of water quality data-collection activities from January 1999 through December 2005. Methods of data collection, quality-assurance samples, water-quality analyses, and statistical summaries are presented. Data include the results of water-quality analyses from quarterly and synoptic sampling from monitoring wells, municipal wells, and the Cedar River.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds494","collaboration":"In cooperation with the City of Cedar Rapids","usgsCitation":"Littin, G.R., and Schnoebelen, D.J., 2010, Selected water-quality data from the Cedar River and Cedar Rapids well fields, Cedar Rapids, Iowa, 1999–2005: U.S. Geological Survey Data Series 494, v, 52 p., https://doi.org/10.3133/ds494.","productDescription":"v, 52 p.","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"1999-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":125827,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_494.jpg"},{"id":403668,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_91654.htm","linkFileType":{"id":5,"text":"html"}},{"id":13447,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/494/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"iowa","city":"Cedar Rapids","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.74837112426758,\n 41.981186979424656\n ],\n [\n -91.66666030883789,\n 41.981186979424656\n ],\n [\n -91.66666030883789,\n 42.03373934666248\n ],\n [\n -91.74837112426758,\n 42.03373934666248\n ],\n [\n -91.74837112426758,\n 41.981186979424656\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48d0e4b07f02db54654f","contributors":{"authors":[{"text":"Littin, Gregory R. grlittin@usgs.gov","contributorId":1732,"corporation":false,"usgs":true,"family":"Littin","given":"Gregory","email":"grlittin@usgs.gov","middleInitial":"R.","affiliations":[],"preferred":true,"id":304660,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Schnoebelen, Douglas J.","contributorId":87514,"corporation":false,"usgs":true,"family":"Schnoebelen","given":"Douglas","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":304661,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":98201,"text":"ds488 - 2010 - Data Used in Analyses of Trends, and Nutrient and Suspended-Sediment Loads for Streams in the Southeastern United States, 1973-2005","interactions":[],"lastModifiedDate":"2012-03-08T17:16:13","indexId":"ds488","displayToPublicDate":"2010-02-17T00:00:00","publicationYear":"2010","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":"488","title":"Data Used in Analyses of Trends, and Nutrient and Suspended-Sediment Loads for Streams in the Southeastern United States, 1973-2005","docAbstract":"Water-quality data from selected surface-water monitoring sites in the Southeastern United States were assessed for trends in concentrations of nutrients, suspended sediment, and major constituents and for in-stream nutrient and suspended-sediment loads for the period 1973-2005. The area of interest includes river basins draining into the southern Atlantic Ocean, the Gulf of Mexico, and the Tennessee River-drainage basins in Hydrologic Regions 03 (South Atlantic - Gulf) and 06 (Tennessee). This data assessment is related to studies of several major river basins as part of the U.S. Geological Survey National Water-Quality Assessment Program, which was designed to assess national water-quality trends during a common time period (1993-2004).\r\n\r\nIncluded in this report are data on which trend tests could be performed from 44 U.S. Geological Survey National Water Information System (NWIS) sampling sites. The constituents examined include major ions, nutrients, and suspended sediment; the physical properties examined include pH, specific conductance, dissolved oxygen, and streamflow. Also included are data that were tested for trends from an additional 290 sites from the U.S. Environmental Protection Agency Storage and Retrieval (STORET) database. The trend analyses of the STORET data were limited to total nitrogen and total phosphorus concentrations. Data from 48 U.S. Geological Survey NWIS sampling sites with sufficient water-quality and continuous streamflow data for estimating nutrient and sediment loads are included. \r\n\r\nThe methods of data compilation and modification used prior to performing trend tests and load estimation are described. Results of the seasonal Kendall trend test and the Tobit trend test are given for the 334 monitoring sites, and in-stream load estimates are given for the 48 monitoring sites. Basin characteristics are provided, including regional landscape variables and agricultural nutrient sources (annual variations in cropping and fertilizer use). The data and results presented in this report are in tabular format and can be downloaded and used by environmental researchers and water managers, particularly in the Southeast.\r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds488","usgsCitation":"Staub, E.L., Peak, K.L., Tighe, K., Sadorf, E.M., and Harned, D.A., 2010, Data Used in Analyses of Trends, and Nutrient and Suspended-Sediment Loads for Streams in the Southeastern United States, 1973-2005: U.S. Geological Survey Data Series 488, Data Tables; Report: HTML, https://doi.org/10.3133/ds488.","productDescription":"Data Tables; Report: HTML","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1973-01-01","temporalEnd":"2005-12-31","costCenters":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"links":[{"id":130283,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":14259,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/488/","linkFileType":{"id":5,"text":"html"}}],"projection":"Albers, Meters, Datum","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -89,26.6 ], [ -89,39.15 ], [ -75.46666666666667,39.15 ], [ -75.46666666666667,26.6 ], [ -89,26.6 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67cac6","contributors":{"authors":[{"text":"Staub, Erik L. elstaub@usgs.gov","contributorId":2244,"corporation":false,"usgs":true,"family":"Staub","given":"Erik","email":"elstaub@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":304651,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Peak, Kelly L.","contributorId":81056,"corporation":false,"usgs":true,"family":"Peak","given":"Kelly","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":304653,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Tighe, Kirsten C.","contributorId":99930,"corporation":false,"usgs":true,"family":"Tighe","given":"Kirsten C.","affiliations":[],"preferred":false,"id":304654,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sadorf, Eric M. emsadorf@usgs.gov","contributorId":2245,"corporation":false,"usgs":true,"family":"Sadorf","given":"Eric","email":"emsadorf@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":304652,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Harned, Douglas A. daharned@usgs.gov","contributorId":1295,"corporation":false,"usgs":true,"family":"Harned","given":"Douglas","email":"daharned@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":304650,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}} ,{"id":98199,"text":"ds487 - 2010 - A Seamless, High-Resolution, Coastal Digital Elevation Model (DEM) for Southern California","interactions":[],"lastModifiedDate":"2012-02-02T00:04:13","indexId":"ds487","displayToPublicDate":"2010-02-17T00:00:00","publicationYear":"2010","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":"487","title":"A Seamless, High-Resolution, Coastal Digital Elevation Model (DEM) for Southern California","docAbstract":"A seamless, 3-meter digital elevation model (DEM) was constructed for the entire Southern California coastal zone, extending 473 km from Point Conception to the Mexican border. The goal was to integrate the most recent, high-resolution datasets available (for example, Light Detection and Ranging (Lidar) topography, multibeam and single beam sonar bathymetry, and Interferometric Synthetic Aperture Radar (IfSAR) topography) into a continuous surface from at least the 20-m isobath to the 20-m elevation contour. \r\n\r\nThis dataset was produced to provide critical boundary conditions (bathymetry and topography) for a modeling effort designed to predict the impacts of severe winter storms on the Southern California coast (Barnard and others, 2009). The hazards model, run in real-time or with prescribed scenarios, incorporates atmospheric information (wind and pressure fields) with a suite of state-of-the-art physical process models (tide, surge, and wave) to enable detailed prediction of water levels, run-up, wave heights, and currents. Research-grade predictions of coastal flooding, inundation, erosion, and cliff failure are also included. The DEM was constructed to define the general shape of nearshore, beach and cliff surfaces as accurately as possible, with less emphasis on the detailed variations in elevation inland of the coast and on bathymetry inside harbors. As a result this DEM should not be used for navigation purposes. \r\n","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/ds487","usgsCitation":"Barnard, P., and Hoover, D., 2010, A Seamless, High-Resolution, Coastal Digital Elevation Model (DEM) for Southern California: U.S. Geological Survey Data Series 487, Report: iii, 8 p.; Metadata folder (HTML, HTML in FAQ, ASCII, XML); Data folder , https://doi.org/10.3133/ds487.","productDescription":"Report: iii, 8 p.; Metadata folder (HTML, HTML in FAQ, ASCII, XML); Data folder ","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":645,"text":"Western Coastal and Marine Geology","active":false,"usgs":true}],"links":[{"id":118602,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ds_487.jpg"},{"id":13443,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/ds/487/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"53cd4968e4b0b290850ef231","contributors":{"authors":[{"text":"Barnard, Patrick L.","contributorId":54936,"corporation":false,"usgs":true,"family":"Barnard","given":"Patrick L.","affiliations":[],"preferred":false,"id":304645,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hoover, Daniel","contributorId":79841,"corporation":false,"usgs":true,"family":"Hoover","given":"Daniel","affiliations":[],"preferred":false,"id":304646,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ]}