{"pageNumber":"349","pageRowStart":"8700","pageSize":"25","recordCount":16446,"records":[{"id":26424,"text":"wri004227 - 2000 - Preliminary hydraulic analysis and implications for restoration of Noyes Slough, Fairbanks, Alaska","interactions":[],"lastModifiedDate":"2012-02-02T00:08:34","indexId":"wri004227","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4227","title":"Preliminary hydraulic analysis and implications for restoration of Noyes Slough, Fairbanks, Alaska","docAbstract":"The present-day channels of the Chena River and Noyes Slough in downtown Fairbanks, Alaska, were formed as sloughs of the Tanana River, and part of the flow of the Tanana River occupied these waterways. Flow in these channels was reduced after the completion of Moose Creek Dike in 1945, and flow in the Chena River was affected by regulation from the Chena River Lakes Flood Control Project, which was completed in 1980. In 1981, flow in the Chena River was regulated for the first time by Moose Creek Dam, located about 20 miles upstream from Fairbanks. Constructed as part of the Chena River Lakes Flood Control Project, the dam was designed to reduce maximum flows to 12,000 cubic feet per second in downtown Fairbanks. Cross-section measurements made near the entrance to Noyes Slough show that the channel bed of the Chena River has been downcutting, thereby reducing the magnitude and duration of flow in the slough. Consequently the slough slowly is drying up. The slough provides habitat for wildlife such as ducks, beaver, and muskrat and is a fishery for anadromous and other resident species. Beavers have built 10 dams in the slough. Declining flow in the slough may endanger the remaining habitat. Residents of the community wish to restore flow in Noyes Slough to create a clean, flowing waterway during normal summer flows. The desire is to enhance the slough as a fishery and habitat for other wildlife and for recreational boating. During this study, existing and new data were compiled to determine past and present hydraulic interaction between the Chena River and Noyes Slough. The U.S. Army Corps of Engineers Hydrologic Engineering Center River Analysis System (HECRAS) computer program was used to construct a model to use in evaluating alternatives for increasing flow in the slough. Under present conditions, the Chena must flow at about 2,400 cubic feet per second or more for flow to enter Noyes Slough. In an average year, water flows in Noyes Slough for 106 days during the open-water season, and maximum flow is about 1,050 cubic feet per second. The model was used to test a single method of increasing flow in Noyes Slough. A modified channel 40 feet wide and about 2 feet deeper within the existing slough channel was simulated by changing the cross-section geometry in the HECRAS model. The resulting model showed that flow in such a modified slough channel would begin at a flow of about 830 cubic feet per second in the Chena River and would increase to a maximum flow of about 1,440 cubic feet per second. In an average year, flow would continue for 158 days during the open-water season. Theoretically, enlarging the slough channel by lowering its bed could increase flow, but other solutions are possible. Possible obstacles to excavating the channel, such as bridges and utility crossings, and the destruction of desirable features such as beaver dams were not considered in the study. Further engineering and economic analyses would be  needed to assess the cost of excavation and future maintenance of the modified channel. A computer-modeling program such as HECRAS may provide a means for testing other solutions.","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nInformation Services [distributor],","doi":"10.3133/wri004227","usgsCitation":"Burrows, R.L., Langley, D.E., and Evetts, D.M., 2000, Preliminary hydraulic analysis and implications for restoration of Noyes Slough, Fairbanks, Alaska: U.S. Geological Survey Water-Resources Investigations Report 2000-4227, iv, 32 p. :ill. (some col.), col. maps ;28 cm., https://doi.org/10.3133/wri004227.","productDescription":"iv, 32 p. :ill. (some col.), col. maps ;28 cm.","costCenters":[],"links":[{"id":158455,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":2052,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri004227","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db64960a","contributors":{"authors":[{"text":"Burrows, Robert L.","contributorId":79473,"corporation":false,"usgs":true,"family":"Burrows","given":"Robert","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":196363,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langley, Dustin E.","contributorId":91904,"corporation":false,"usgs":true,"family":"Langley","given":"Dustin","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":196364,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Evetts, David M. devetts@usgs.gov","contributorId":5097,"corporation":false,"usgs":true,"family":"Evetts","given":"David","email":"devetts@usgs.gov","middleInitial":"M.","affiliations":[],"preferred":true,"id":196362,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":30864,"text":"wri004094 - 2000 - Application of nonlinear least-squares regression to ground-water flow modeling, west-central Florida","interactions":[],"lastModifiedDate":"2012-02-02T00:09:05","indexId":"wri004094","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4094","title":"Application of nonlinear least-squares regression to ground-water flow modeling, west-central Florida","docAbstract":"A nonlinear least-squares regression technique for estimation of ground-water flow model parameters was applied to an existing model of the regional aquifer system underlying west-central Florida. The regression technique minimizes the differences between measured and simulated water levels. Regression statistics, including parameter sensitivities and correlations, were calculated for reported parameter values in the existing model. Optimal parameter values for selected hydrologic variables of interest are estimated by nonlinear regression. Optimal estimates of parameter values are about 140 times greater than and about 0.01 times less than reported values. Independently estimating all parameters by nonlinear regression was impossible, given the existing zonation structure and number of observations, because of parameter insensitivity and correlation. Although the model yields parameter values similar to those estimated by other methods and reproduces the measured water levels reasonably accurately, a simpler parameter structure should be considered. Some possible ways of improving model calibration are to: (1) modify the defined parameter-zonation structure by omitting and/or combining parameters to be estimated; (2) carefully eliminate observation data based on evidence that they are likely to be biased; (3) collect additional water-level data; (4) assign values to insensitive parameters, and (5) estimate the most sensitive parameters first, then, using the optimized values for these parameters, estimate the entire data set. ","language":"ENGLISH","doi":"10.3133/wri004094","usgsCitation":"Yobbi, D.K., 2000, Application of nonlinear least-squares regression to ground-water flow modeling, west-central Florida: U.S. Geological Survey Water-Resources Investigations Report 2000-4094, 58 p., https://doi.org/10.3133/wri004094.","productDescription":"58 p.","costCenters":[],"links":[{"id":2739,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri00-4094/","linkFileType":{"id":5,"text":"html"}},{"id":160303,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a8a0","contributors":{"authors":[{"text":"Yobbi, D. K.","contributorId":56622,"corporation":false,"usgs":true,"family":"Yobbi","given":"D.","email":"","middleInitial":"K.","affiliations":[],"preferred":false,"id":204231,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":25419,"text":"wri004123 - 2000 - Comparison of nitrate, pesticides, and volatile organic compounds in samples from monitoring and public-supply wells, Kirkwood-Cohansey aquifer system, southern New Jersey","interactions":[],"lastModifiedDate":"2022-05-18T19:27:10.018363","indexId":"wri004123","displayToPublicDate":"2001-09-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4123","title":"Comparison of nitrate, pesticides, and volatile organic compounds in samples from monitoring and public-supply wells, Kirkwood-Cohansey aquifer system, southern New Jersey","docAbstract":"The number and total concentration of\r\nvolatile organic compounds (VOCs) per\r\nsample were significantly greater in water from\r\npublic-supply wells than in water from shallow\r\nand moderate-depth monitoring wells in the\r\nsurficial Kirkwood-Cohansey aquifer system in\r\nthe Glassboro area of southern New Jersey. In\r\ncontrast, concentrations of nitrate (as nitrogen)\r\nand the number and total concentration of\r\npesticides per sample were statistically similar\r\nin samples from shallow and moderate-depth\r\nmonitoring wells and those from public-supply\r\nwells.\r\nVOCs in ground water typically are\r\nderived from point sources, which commonly\r\nexist in urban areas and which result in\r\nspatially variable contaminant concentrations\r\nnear the water table. Because larger volumes of\r\nwater are withdrawn from public-supply wells\r\nthan from monitoring wells, their contributing\r\nareas are larger and, therefore, they are more\r\nlikely to intercept water flowing from VOC\r\npoint sources. Additionally, public-supply\r\nwells intercept flow paths that span a large\r\ntemporal interval. Public-supply wells in the\r\nGlassboro study area withdraw water flowing\r\nalong short paths, which contains VOCs that\r\nrecently entered the aquifer system, and water\r\nflowing along relatively long paths, which\r\ncontains VOCs that originated from the\r\ndegradation of parent compounds or that are\r\nassociated with past land uses. Because the\r\nvolume of water withdrawn from monitoring\r\nwells is small and because shallow monitoring\r\nwells are screened near the water table, they\r\ngenerally intercept only relatively short flow\r\npaths. Therefore, samples from these wells\r\nrepresent relatively recent, discrete time\r\nintervals and contain both fewer VOCs and a\r\nlower total VOC concentration than samples\r\nfrom public-supply wells.\r\nNitrate and pesticides in ground water\r\ntypically are derived from nonpoint sources,\r\nwhich commonly are found in both agricultural\r\nand urban areas and typically result in lowlevel,\r\nrelatively uniform concentrations near\r\nthe water table. Because nonpoint sources are\r\ndiffuse and because processes such as\r\ndegradation or sorption/dispersion do not occur\r\nat rates sufficient to prevent detection of these\r\nconstituents in parts of the aquifer used for\r\ndomestic and public supply in the study area,\r\nconcentrations of nitrate and pesticides and\r\nnumbers of pesticide compounds are likely to\r\nbe similar in samples from shallow monitoring\r\nwells and samples from public-supply wells.\r\nResults of a comparison of (1) the general\r\ncharacteristics of, and water-quality data from,\r\npublic-supply wells in the Glassboro study area\r\nto available data from public-supply wells\r\nscreened in the Kirkwood-Cohansey aquifer\r\nsystem outside the study area, and (2) land-use\r\nsettings, soil characteristics, and aquifer\r\nproperties in and outside the study area indicate\r\nthat the findings of this study likely are\r\napplicable to the entire extent of the Kirkwood-\r\nCohansey aquifer system in southern New\r\nJersey.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri004123","usgsCitation":"Stackelberg, P.E., Kauffman, L.J., Baehr, A.L., and Ayers, M.A., 2000, Comparison of nitrate, pesticides, and volatile organic compounds in samples from monitoring and public-supply wells, Kirkwood-Cohansey aquifer system, southern New Jersey: U.S. Geological Survey Water-Resources Investigations Report 2000-4123, vi, 51 p., https://doi.org/10.3133/wri004123.","productDescription":"vi, 51 p.","numberOfPages":"58","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":156629,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2000/4123/coverthb.jpg"},{"id":1806,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2000/4123/wri004123.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 00-4123"},{"id":400776,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_34825.htm"}],"country":"United States","state":"New Jersey","otherGeospatial":"Kirkwood-Cohansey aquifer system","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -75.307,\n              39.442\n            ],\n            [\n              -74.849,\n              39.442\n            ],\n            [\n              -74.849,\n              39.843\n            ],\n            [\n              -75.307,\n              39.843\n            ],\n            [\n              -75.307,\n              39.442\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://pubs.er.usgs.gov/contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6ae44d","contributors":{"authors":[{"text":"Stackelberg, Paul E. 0000-0002-1818-355X pestack@usgs.gov","orcid":"https://orcid.org/0000-0002-1818-355X","contributorId":1069,"corporation":false,"usgs":true,"family":"Stackelberg","given":"Paul","email":"pestack@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":193610,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kauffman, L. J. 0000-0003-4564-0362","orcid":"https://orcid.org/0000-0003-4564-0362","contributorId":65217,"corporation":false,"usgs":true,"family":"Kauffman","given":"L.","email":"","middleInitial":"J.","affiliations":[{"id":470,"text":"New Jersey Water Science Center","active":true,"usgs":true}],"preferred":false,"id":193613,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Baehr, A. L.","contributorId":59831,"corporation":false,"usgs":true,"family":"Baehr","given":"A.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":193612,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ayers, M. A.","contributorId":41417,"corporation":false,"usgs":true,"family":"Ayers","given":"M.","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":193611,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":25504,"text":"wri004218 - 2000 - Factors affecting nutrient trends in major rivers of the Chesapeake Bay Watershed","interactions":[],"lastModifiedDate":"2012-02-02T00:08:23","indexId":"wri004218","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4218","title":"Factors affecting nutrient trends in major rivers of the Chesapeake Bay Watershed","docAbstract":"Trends in nutrient loads and flow-adjusted concentrations in the major rivers entering Chesapeake Bay were computed on the basis of water-quality data collected between 1985 and 1998 at 29 monitoring stations in the Susquehanna, Potomac, James, Rappahannock, York, Patuxent, and Choptank River Basins. Two computer models?the Chesapeake Bay Watershed Model (WSM) and the U.S. Geological Survey?s 'Spatially Referenced Regressions on Watershed attributes' (SPARROW) Model?were used to help explain the major factors affecting the trends. Results from WSM simulations provided information on temporal changes in contributions from major nutrient sources, and results from SPARROW model simulations provided spatial detail on the distribution of nutrient yields in these basins. Additional data on nutrient sources, basin characteristics, implementation of management practices, and ground-water inputs to surface water were analyzed to help explain the trends. The major factors affecting the trends were changes in nutrient sources and natural variations in streamflow. The dominant source of nitrogen and phosphorus from 1985 to 1998 in six of the seven tributary basins to Chesapeake Bay was determined to be agriculture. Because of the predominance of agricultural inputs, changes in agricultural nutrient sources such as manure and fertilizer, combined with decreases in agricultural acreage and implementation of best management practices (BMPs), had the greatest impact on the trends in flow-adjusted nutrient concentrations. Urban acreage and population, however, were noted to be increasing throughout the Chesapeake Bay Watershed, and as a result, delivered loads  of nutrients from urban areas increased during the study period. Overall, agricultural nutrient management, in combination with load decreases from point sources due to facility upgrades and the phosphate detergent ban, led to downward trends in flow-adjusted nutrient concentrations atmany of the monitoring stations in the watershed. The loads of nutrients, however, were not reduced significantly at most of the monitoring stations. This is due primarily to higher streamflow in the latter years of the monitoring period, which led to higher loading in those years.Results of this study indicate a need for more detailed information on BMP effectiveness under a full range of hydrologic conditions and in different areas of the watershed; an internally consistent fertilizer data set; greater consideration of the effects of watershed processes on nutrient transport; a refinement of current modeling efforts; and an expansion of the non-tidal monitoring network in the Chesapeake Bay Watershed.","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nBranch of Information Services [distributor],","doi":"10.3133/wri004218","usgsCitation":"Sprague, L.A., Langland, M., Yochum, S., Edwards, R.E., Blomquist, J., Phillips, S., Shenk, G., and Preston, S.D., 2000, Factors affecting nutrient trends in major rivers of the Chesapeake Bay Watershed: U.S. Geological Survey Water-Resources Investigations Report 2000-4218, vii, 109 p. :ill. (some col.), maps (some col.) ;28 cm., https://doi.org/10.3133/wri004218.","productDescription":"vii, 109 p. :ill. (some col.), maps (some col.) ;28 cm.","costCenters":[],"links":[{"id":1873,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri004218","linkFileType":{"id":5,"text":"html"}},{"id":157719,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a06e4b07f02db5f89ef","contributors":{"authors":[{"text":"Sprague, Lori A. 0000-0003-2832-6662 lsprague@usgs.gov","orcid":"https://orcid.org/0000-0003-2832-6662","contributorId":726,"corporation":false,"usgs":true,"family":"Sprague","given":"Lori","email":"lsprague@usgs.gov","middleInitial":"A.","affiliations":[{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":509,"text":"Office of the Associate Director for Water","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true},{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true}],"preferred":true,"id":193963,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Langland, M. J.","contributorId":36173,"corporation":false,"usgs":true,"family":"Langland","given":"M. J.","affiliations":[],"preferred":false,"id":193966,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Yochum, S.E.","contributorId":62242,"corporation":false,"usgs":true,"family":"Yochum","given":"S.E.","affiliations":[],"preferred":false,"id":193967,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Edwards, R. E.","contributorId":92211,"corporation":false,"usgs":true,"family":"Edwards","given":"R.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":193968,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Blomquist, J. D. 0000-0002-0140-6534","orcid":"https://orcid.org/0000-0002-0140-6534","contributorId":20784,"corporation":false,"usgs":true,"family":"Blomquist","given":"J. D.","affiliations":[],"preferred":false,"id":193965,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Phillips, S.W.","contributorId":6867,"corporation":false,"usgs":true,"family":"Phillips","given":"S.W.","email":"","affiliations":[],"preferred":false,"id":193964,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Shenk, G.W.","contributorId":106938,"corporation":false,"usgs":true,"family":"Shenk","given":"G.W.","affiliations":[],"preferred":false,"id":193970,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Preston, S. D.","contributorId":105770,"corporation":false,"usgs":true,"family":"Preston","given":"S.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":193969,"contributorType":{"id":1,"text":"Authors"},"rank":8}]}}
,{"id":30878,"text":"wri004232 - 2000 - Statistical identification of hydrochemical response units for hydrologic monitoring and modeling in Maryland","interactions":[],"lastModifiedDate":"2012-02-02T00:09:08","indexId":"wri004232","displayToPublicDate":"2001-08-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4232","title":"Statistical identification of hydrochemical response units for hydrologic monitoring and modeling in Maryland","docAbstract":"In support of Maryland's efforts to develop statewide water-quality management plans, a statistical analysis was performed to identify a set of representative and relatively homogeneous areas referred to as Hydrochemical Response Units (HRUs). The State intends to select representative areas within each hydrochemical response unit for monitoring and model development, and then apply the model to the entire unit. To identify hydrochemical response units, cluster analysis was applied to 1,136 digitally defined watershed units. Basin characteristics including land cover, soil type, slope, and geology were determined for each watershed unit and a clustering algorithm was applied to the data sets. A total of 11 hydrochemical response units were identified by the analysis. Major features that were important in distinguishing different areas of the state include: 1) upland and lowland Coastal Plain settings, 2) igneous, shale, and carbonate geology; and 3) urban land cover. The hydrochemical response units described in this report are considered to be an initial classification of watersheds in Maryland that can be refined as geographic data sets are improved and additional hydrologic data are collected. ","language":"ENGLISH","doi":"10.3133/wri004232","usgsCitation":"Preston, S.D., 2000, Statistical identification of hydrochemical response units for hydrologic monitoring and modeling in Maryland: U.S. Geological Survey Water-Resources Investigations Report 2000-4232, 7 p., https://doi.org/10.3133/wri004232.","productDescription":"7 p.","costCenters":[],"links":[{"id":2787,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://md.water.usgs.gov/publications/wrir-00-4232/ ","linkFileType":{"id":5,"text":"html"}},{"id":160529,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5fa8b7","contributors":{"authors":[{"text":"Preston, S. D.","contributorId":105770,"corporation":false,"usgs":true,"family":"Preston","given":"S.","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":204263,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":29355,"text":"wri004135 - 2000 - Methods for estimating low-flow statistics for Massachusetts streams","interactions":[],"lastModifiedDate":"2012-02-02T00:08:49","indexId":"wri004135","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4135","title":"Methods for estimating low-flow statistics for Massachusetts streams","docAbstract":"Methods and computer software are described in this report for determining flow duration, low-flow frequency statistics, and August median flows. These low-flow statistics can be estimated for unregulated streams in Massachusetts using different methods depending on whether the location of interest is at a streamgaging station, a low-flow partial-record station, or an ungaged site where no data are available. Low-flow statistics for streamgaging stations can be estimated using standard U.S. Geological Survey methods described in the report. The MOVE.1 mathematical method and a graphical correlation method can be used to estimate low-flow statistics for low-flow partial-record stations. The MOVE.1 method is recommended when the relation between measured flows at a partial-record station and daily mean flows at a nearby, hydrologically similar streamgaging station is linear, and the graphical method is recommended when the relation is curved. Equations are presented for computing the variance and equivalent years of record for estimates of low-flow statistics for low-flow partial-record stations when either a single or multiple index stations are used to determine the estimates. The drainage-area ratio method or regression equations can be used to estimate low-flow statistics for ungaged sites where no data are available. The drainage-area ratio method is generally as accurate as or more accurate than regression estimates when the drainage-area ratio for an ungaged site is between 0.3 and 1.5 times the drainage area of the index data-collection site. Regression equations were developed to estimate the natural, long-term 99-, 98-, 95-, 90-, 85-, 80-, 75-, 70-, 60-, and 50-percent duration flows; the 7-day, 2-year and the 7-day, 10-year low flows; and the August median flow for ungaged sites in Massachusetts. Streamflow statistics and basin characteristics for 87 to 133 streamgaging stations and low-flow partial-record stations were used to develop the equations. The streamgaging stations had from 2 to 81 years of record, with a mean record length of 37 years. The low-flow partial-record stations had from 8 to 36 streamflow measurements, with a median of 14 measurements. All basin characteristics were determined from digital map data. The basin characteristics that were statistically significant in most of the final regression equations were drainage area, the area of stratified-drift deposits per unit of stream length plus 0.1, mean basin slope, and an indicator variable that was 0 in the eastern region and 1 in the western region of Massachusetts. The equations were developed by use of weighted-least-squares regression analyses, with weights assigned proportional to the years of record and inversely proportional to the variances of the streamflow statistics for the stations. Standard errors of prediction ranged from 70.7 to 17.5 percent for the equations to predict the 7-day, 10-year low flow and 50-percent duration flow, respectively. The equations are not applicable for use in the Southeast Coastal region of the State, or where basin characteristics for the selected ungaged site are outside the ranges of those for the stations used in the regression analyses. A World Wide Web application was developed that provides streamflow statistics for data collection stations from a data base and for ungaged sites by measuring the necessary basin characteristics for the site and solving the regression equations. Output provided by the Web application for ungaged sites includes a map of the drainage-basin boundary determined for the site, the measured basin characteristics, the estimated streamflow statistics, and 90-percent prediction intervals for the estimates. An equation is provided for combining regression and correlation estimates to obtain improved estimates of the streamflow statistics for low-flow partial-record stations. An equation is also provided for combining regression and drainage-area ratio estimates to obtain improved e","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nBranch of Information Services [distributor],","doi":"10.3133/wri004135","usgsCitation":"Ries, K., and Friesz, P.J., 2000, Methods for estimating low-flow statistics for Massachusetts streams: U.S. Geological Survey Water-Resources Investigations Report 2000-4135, v, 81 p. :ill., maps ;28 cm., https://doi.org/10.3133/wri004135.","productDescription":"v, 81 p. :ill., maps ;28 cm.","costCenters":[],"links":[{"id":2295,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri004135","linkFileType":{"id":5,"text":"html"}},{"id":159425,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db62a1ab","contributors":{"authors":[{"text":"Ries, Kernell G. III kries@usgs.gov","contributorId":1913,"corporation":false,"usgs":true,"family":"Ries","given":"Kernell G.","suffix":"III","email":"kries@usgs.gov","affiliations":[{"id":502,"text":"Office of Surface Water","active":true,"usgs":true}],"preferred":false,"id":201398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Friesz, Paul J. 0000-0002-4660-2336 pfriesz@usgs.gov","orcid":"https://orcid.org/0000-0002-4660-2336","contributorId":1075,"corporation":false,"usgs":true,"family":"Friesz","given":"Paul","email":"pfriesz@usgs.gov","middleInitial":"J.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":201397,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":28821,"text":"wri004096 - 2000 - Characterization and simulation of ground-water flow in the Kansas River Valley at Fort Riley, Kansas, 1990-98","interactions":[],"lastModifiedDate":"2012-02-02T00:08:52","indexId":"wri004096","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4096","title":"Characterization and simulation of ground-water flow in the Kansas River Valley at Fort Riley, Kansas, 1990-98","docAbstract":"Hydrologic data and a ground-water flow model were used to characterize ground-water flow in the Kansas River alluvial aquifer at Fort Riley in northeast Kansas. The ground-water flow model was developed as a tool to project ground-water flow and potential contaminant-transport paths in the alluvial aquifer on the basis of past hydrologic conditions. The model also was used to estimate historical and hypothetical ground-water flow paths with respect to a private- and several public-supply wells.  The ground-water flow model area extends from the Smoky Hill and Republican Rivers downstream to about 2.5 miles downstream from the city of Ogden. The Kansas River Valley has low relief and, except for the area within the Fort Riley Military Reservation, is used primarily for crop production. Sedimentary deposits in the Kansas River Valley, formed after the ancestral Kansas River eroded into bedrock, primarily are alluvial sediment deposited by the river during Quaternary time. The alluvial sediment consists of as much as about 75 feet of poorly sorted, coarse-to-fine sand, silt, and clay, 55 feet of which can be saturated with ground water. The alluvial aquifer is unconfined and is bounded on the sides and bottom by Permian-age shale and limestone bedrock. Hydrologic data indicate that ground water in the Kansas River Valley generally flows in a downstream direction, but flow direction can be quite variable near the Kansas River due to changes in river stage. Ground-water-level changes caused by infiltration of precipitation are difficult to detect because they are masked by larger changes caused by fluctuation in Kansas River stage. Ratios of strontium isotopes Sr87 and Sr86 in water collected from wells in the Camp Funston Area indicate that the ground water along the northern valley wall originates, in part, from upland areas north of the river valley. Water from Threemile Creek, which flows out of the uplands north of the river valley, had Sr87:Sr86 ratios similar to those in ground water from wells in the northern Camp Funston Area. In addition, comparison of observed water levels from wells CF90-06, CF97-101, and CF97-401 in the Camp Funston Area and ground-water levels simulated for these wells using floodwave-response analysis indicates that ground-water inflow from bedrock is a hydraulic stress that, in addition to the changing stage in the Kansas River, acts on the aquifer. This hydraulic stress seems to be located near the northern valley wall because the effect of this stress is greater for well CF97-101, which is the well closest to the valley wall. Ground-water flow was simulated using a modular, three-dimensional, finite-difference ground-water flow model (MODFLOW). Particle tracking, used to visualize ground-water flow paths in the alluvial aquifer, was accomplished using MODPATH. Forward-in-time particle tracking indicated that, in general, particles released near the Kansas River followed much more variable paths than particles released near the valley wall. Although particle tracking does not simulate solute transport, this increased path variability indicates that, near the river, ground-water contaminants could follow many possible paths towards the river, whereas more distant from the river, ground-water contaminants likely would follow a narrower corridor. Particle tracks in the Camp Funston Area indicate that, for the 1990-98 simulation period, contaminants from the ground-water study sites in the Camp Funston Area would be unlikely to move into the vicinity of Ogden's supply wells. Backward-in-time particle tracking indicated that the flow-path and recharge areas for model cells corresponding to Ogden's supply wells lie near the northern valley wall and extend into the northern Camp Funston Area. The flow-path and recharge areas for model cells corresponding to Morris County Rural Water District wells lie within Clarks Creek Valley and probably extend outside the model area. Three hypothetical simulations, i","language":"ENGLISH","publisher":"U.S. Department of the Interior, U.S. Geological Survey ;\r\nInformation Services [distributor],","doi":"10.3133/wri004096","usgsCitation":"Myers, N.C., 2000, Characterization and simulation of ground-water flow in the Kansas River Valley at Fort Riley, Kansas, 1990-98: U.S. Geological Survey Water-Resources Investigations Report 2000-4096, viii, 122 p. :ill. (some col.), maps (some col.) ;28 cm., https://doi.org/10.3133/wri004096.","productDescription":"viii, 122 p. :ill. (some col.), maps (some col.) ;28 cm.","costCenters":[],"links":[{"id":95728,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2000/4096/report.pdf","size":"34781","linkFileType":{"id":1,"text":"pdf"}},{"id":159663,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2000/4096/report-thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e2e4b07f02db5e4ebe","contributors":{"authors":[{"text":"Myers, Nathan C. 0000-0002-7469-3693 nmyers@usgs.gov","orcid":"https://orcid.org/0000-0002-7469-3693","contributorId":1055,"corporation":false,"usgs":true,"family":"Myers","given":"Nathan","email":"nmyers@usgs.gov","middleInitial":"C.","affiliations":[{"id":472,"text":"New Mexico Water Science Center","active":true,"usgs":true}],"preferred":true,"id":200454,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":31142,"text":"ofr0045A - 2000 - Bedrock geologic map of the Hubbard Brook experimental forest, Grafton County, New Hampshire","interactions":[],"lastModifiedDate":"2023-10-27T10:50:51.236137","indexId":"ofr0045A","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","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":"2000-45","chapter":"A","title":"Bedrock geologic map of the Hubbard Brook experimental forest, Grafton County, New Hampshire","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr0045A","usgsCitation":"Burton, W., Walsh, G., and Armstrong, T.R., 2000, Bedrock geologic map of the Hubbard Brook experimental forest, Grafton County, New Hampshire: U.S. 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,{"id":30115,"text":"wri004141 - 2000 - Determination of infiltration and percolation rates along a reach of the Santa Fe River near La Bajada, New Mexico","interactions":[],"lastModifiedDate":"2020-02-24T06:26:37","indexId":"wri004141","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4141","title":"Determination of infiltration and percolation rates along a reach of the Santa Fe River near La Bajada, New Mexico","docAbstract":"Two methods, one a surface-water method and the second a \r\nground-water method, were used to determine infiltration and \r\npercolation rates along a 2.5-kilometer reach of the Santa Fe \r\nRiver near La Bajada, New Mexico. The surface-water method uses \r\nstreamflow measurements and their differences along a stream reach, \r\nstreamflow-loss rates, stream surface area, and evaporation \r\nrates to determine infiltration rates. The ground-water method \r\nuses heat as a tracer to monitor percolation through shallow \r\nstreambed sediments. \r\n\r\nData collection began in October 1996 and continued through \r\nDecember 1997. During that period the stream reach was instrumented \r\nwith three streamflow gages, and temperature profiles were \r\nmonitored from the stream-sediment interface to about 3 meters below \r\nthe streambed at four sites along the reach.\r\n\r\nInfiltration is the downward flow of water through the stream-\r\nsediment interface. Infiltration rates ranged from 92 to 267 \r\nmillimeters per day for an intense measurement period during June 26-\r\n28, 1997, and from 69 to 256 millimeters per day during \r\nSeptember 27-October 6, 1997. Investigators calculated \r\ninfiltration rates from streamflow loss, stream surface-area \r\nmeasurements, and evaporation-rate estimates. Infiltration rates \r\nmay be affected by unmeasured irrigation-return flow in the \r\nstudy reach. Although the amount of irrigation-return flow was none \r\nto very small, it may result in underestimation of infiltration \r\nrates. The infiltration portion of streamflow loss was much greater \r\nthan the evaporation portion. Infiltration accounted for about \r\n92 to 98 percent of streamflow loss. Evaporation-rate estimates \r\nranged from 3.4 to 7.6 millimeters per day based on pan-evaporation \r\ndata collected at Cochiti Dam, New Mexico, and accounted for about 2 \r\nto 8 percent of streamflow loss.\r\n\r\nPercolation is the movement of water through saturated or \r\nunsaturated sediments below the stream-sediment interface. \r\nPercolation rates ranged from 40 to 109 millimeters per day during \r\nJune 26-28, 1997. Percolation rates were not calculated for the \r\nSeptember 27-October 6, 1997, period because a late summer flood \r\nremoved the temperature sensors from the streambed. Investigators \r\nused a heat-and-water flow model, VS2DH (variably saturated, two-\r\ndimensional heat), to calculate near-surface streambed \r\ninfiltration and percolation rates from temperatures measured in the \r\nstream and streambed.\r\n\r\nNear the stream-sediment interface, infiltration and \r\npercolation rates are comparable. Comparison of infiltration and \r\npercolation rates showed that infiltration rates were greater \r\nthan percolation rates. The method used to calculate infiltration \r\nrates accounted for net loss or gain over the entire stream reach, \r\nwhereas the method used to calculate percolation was \r\ndependent on point measurements and, as applied in this study, \r\nneglected the nonvertical component of heat and water \r\nfluxes. In general, using the ground-water method was less labor \r\nintensive than making a series of streamflow measurements and relied \r\non temperature, an easily measured property. The ground-water method \r\nalso eliminated the difficulty of measuring or estimating \r\nevaporation from the water surface and was therefore more direct. \r\nBoth methods are difficult to use during periods of flood flow. The \r\nground-water method has problems with the thermocouple-wire \r\ntemperature sensors washing out during flood events. The surface-\r\nwater method often cannot be used because of safety concerns for \r\npersonnel making wading streamflow measurements.","language":"English","publisher":"U.S. Geological Survey ","doi":"10.3133/wri004141","usgsCitation":"Thomas, C.L., Stewart, A.E., and Constantz, J.E., 2000, Determination of infiltration and percolation rates along a reach of the Santa Fe River near La Bajada, New Mexico: U.S. Geological Survey Water-Resources Investigations Report 2000-4141, iv, 65 p. , https://doi.org/10.3133/wri004141.","productDescription":"iv, 65 p. ","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":160080,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2000/4141/report-thumb.jpg"},{"id":95825,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2000/4141/report.pdf","size":"6238","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"New Mexico","county":"Santa Fe County","city":"La Bajada","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-106.2431,35.9303],[-106.1892,35.9309],[-106.1631,35.9309],[-106.1369,35.9314],[-106.1341,35.9314],[-106.1324,35.9314],[-106.0585,35.9314],[-106.0511,35.9314],[-106.0523,35.9877],[-106.0586,35.9881],[-106.0597,35.9881],[-106.0626,35.9904],[-106.0637,35.9918],[-106.0648,35.9936],[-106.062,35.999],[-106.0614,36.004],[-106.0375,36.004],[-106.0256,36.004],[-105.9881,36.0045],[-105.9255,36.0045],[-105.9102,36.0045],[-105.8925,36.0044],[-105.8749,36.0044],[-105.8703,36.0044],[-105.7164,36.0025],[-105.7165,35.9785],[-105.7203,35.8713],[-105.7145,35.422],[-105.7145,35.4097],[-105.7146,35.3957],[-105.713,35.215],[-105.7139,35.0425],[-105.9169,35.0419],[-106.0275,35.0406],[-106.1337,35.0414],[-106.2213,35.0408],[-106.2386,35.0408],[-106.2387,35.0549],[-106.242,35.2147],[-106.2416,35.2519],[-106.2434,35.3054],[-106.2474,35.3054],[-106.2463,35.315],[-106.2458,35.3495],[-106.246,35.4071],[-106.2467,35.4461],[-106.2474,35.4802],[-106.2464,35.5319],[-106.2465,35.5469],[-106.2462,35.6544],[-106.2463,35.6758],[-106.2454,35.742],[-106.2466,35.7533],[-106.2415,35.7579],[-106.2386,35.7606],[-106.2353,35.7656],[-106.2188,35.7693],[-106.2121,35.7779],[-106.2064,35.7793],[-106.1939,35.7897],[-106.1923,35.8002],[-106.1877,35.8043],[-106.1798,35.8079],[-106.177,35.8134],[-106.177,35.8211],[-106.173,35.8265],[-106.1708,35.8283],[-106.1946,35.8283],[-106.219,35.8274],[-106.223,35.8278],[-106.2287,35.8337],[-106.2417,35.8368],[-106.2457,35.8427],[-106.2452,35.8563],[-106.2442,35.8931],[-106.2431,35.9303]]]},\"properties\":{\"name\":\"Santa Fe\",\"state\":\"NM\"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a09e4b07f02db5facc4","contributors":{"authors":[{"text":"Thomas, Carole L.","contributorId":50938,"corporation":false,"usgs":true,"family":"Thomas","given":"Carole","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":202704,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Stewart, Amy E.","contributorId":22812,"corporation":false,"usgs":true,"family":"Stewart","given":"Amy","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":202703,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Constantz, Jim E.","contributorId":55481,"corporation":false,"usgs":true,"family":"Constantz","given":"Jim","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":202705,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":30098,"text":"wri20004212 - 2000 - Hydrology of the Helena area bedrock, west-central Montana, 1993-98","interactions":[],"lastModifiedDate":"2022-02-03T21:46:37.763023","indexId":"wri20004212","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4212","title":"Hydrology of the Helena area bedrock, west-central Montana, 1993-98","docAbstract":"The Generalized Bedrock Geologic Map of the Helena Area, West-Central Montana (plate 1 in the report) provides an intermediate-scale overview of bedrock in the Helena area. The geologic map has been compiled at a scale of 1:100,000 from the most widely available sources of geologic map information (see index to geologic mapping on pl. 1). That information has been updated by M.W. Reynolds for this report with more recent geologic mapping and field revision of published maps. All well locations and all bedrock units penetrated during drilling have been confirmed on geologic maps at the largest scale available. Source geologic maps are all at scales larger than 1:100,000 scale. Care has been taken to ensure accurate representation of the original geology at the compilation scale. However, positional accuracy of some features might be somewhat diminished at the smaller scale of the base map when compared with the original data source. Also, line thicknesses for contacts and faults necessarily assume a greater width, relative to the real geologic feature, at the scale of the generalized map than on any original map. The map is not intended for large-scale, site-specific detailed planning.\r\n\r\nBedrock units throughout the Helena area are generally covered by young surficial deposits such as alluvium, colluvium, glacial debris, or windblown sediment. Thickness of such deposits varies from veneers through which the underlying bedrock is clearly discernible to major thicknesses that conceal all underlying bedrock and structure. Boundaries of major accumulations of surficial deposits are attributed separately from bedrock contacts. These boundaries should not be considered precise at the map scale or at larger scales. Boundaries shown may be less accurate positionally than bedrock contacts and faults because (1) surficial deposits commonly thin to a knife edge; (2) different mappers will interpret the edge differently when drawing a boundary; or (3) the original geologic map maker was concerned principally with bedrock units and structure and thus overlooked, or did not originally map as consistently, some surficial deposits. Veneers of surficial sediment, when saturated, can be local sources of recharge to underlying bedrock. Use of the generalized map to define their distribution does not substitute for site specific mapping of such deposits.\r\n\r\nSpecific knowledge is needed to determine the water-bearing properties of the geologic units at and surrounding a site because the units, including the igneous and metamorphic rocks, have internal differences in stratigraphy, composition, mineralogy and grain size or crystallinity. These differences, together with structural imprints such as faults, folds, and the spacing, orientation, degree of openness of fractures, and extent and type of mineral filling in fractures and faults, all affect the ability of rocks to store and transmit water.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri20004212","collaboration":"Prepared in cooperation with the Lewis and Clark County Water Quality Protection District","usgsCitation":"Thamke, J., and Reynolds, M.W., 2000, Hydrology of the Helena area bedrock, west-central Montana, 1993-98: U.S. Geological Survey Water-Resources Investigations Report 2000-4212, HTML Document, https://doi.org/10.3133/wri20004212.","productDescription":"HTML Document","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":400,"text":"Montana Water Science Center","active":false,"usgs":true}],"links":[{"id":110140,"rank":700,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_34501.htm","linkFileType":{"id":5,"text":"html"},"description":"34501"},{"id":159162,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":2373,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri-00-4212/","linkFileType":{"id":5,"text":"html"}}],"scale":"100000","projection":"Universal Transverse Mercator","country":"United States","state":"Montana","otherGeospatial":"Helena area","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -112.368,\n              46.393\n            ],\n            [\n              -111.787,\n              46.393\n            ],\n            [\n              -111.787,\n              46.791\n            ],\n            [\n              -112.368,\n              46.7951\n            ],\n            [\n              -112.368,\n              46.393\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ee4b07f02db5fe185","contributors":{"authors":[{"text":"Thamke, Joanna N. 0000-0002-6917-1946 jothamke@usgs.gov","orcid":"https://orcid.org/0000-0002-6917-1946","contributorId":1012,"corporation":false,"usgs":true,"family":"Thamke","given":"Joanna N.","email":"jothamke@usgs.gov","affiliations":[{"id":5050,"text":"WY-MT Water Science Center","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":202673,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reynolds, Mitchell W. 0000-0002-9966-3896 mwreynol@usgs.gov","orcid":"https://orcid.org/0000-0002-9966-3896","contributorId":4641,"corporation":false,"usgs":true,"family":"Reynolds","given":"Mitchell","email":"mwreynol@usgs.gov","middleInitial":"W.","affiliations":[{"id":318,"text":"Geosciences and Environmental Change Science Center","active":true,"usgs":true}],"preferred":true,"id":202674,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":30871,"text":"wri004197 - 2000 - Computer-model analysis of ground-water flow and simulated effects of contaminant remediation at Naval Weapons Industrial Reserve Plant, Dallas, Texas","interactions":[],"lastModifiedDate":"2017-01-12T13:15:59","indexId":"wri004197","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4197","title":"Computer-model analysis of ground-water flow and simulated effects of contaminant remediation at Naval Weapons Industrial Reserve Plant, Dallas, Texas","docAbstract":"<p>In June 1993, the Department of the Navy, Southern Division Naval Facilities Engineering Command (SOUTHDIV), began a Resource Conservation and Recovery Act (RCRA) Facility Investigation (RFI) of the Naval Weapons Industrial Reserve Plant (NWIRP) in north-central Texas. The RFI has found trichloroethene, dichloroethene, vinyl chloride, as well as chromium, lead, and other metallic residuum in the shallow alluvial aquifer underlying NWIRP. </p><p>These findings and the possibility of on-site or off-site migration of contaminants prompted the need for a ground-water-flow model of the NWIRP area. The resulting U.S. Geological Survey (USGS) model: (1) defines aquifer properties, (2) computes water budgets, (3) delineates major flowpaths, and (4) simulates hydrologic effects of remediation activity. In addition to assisting with particle-tracking analyses, the calibrated model could support solute-transport modeling as well as help evaluate the effects of potential corrective action. The USGS model simulates steadystate and transient conditions of ground-water flow within a single model layer.</p><p>The alluvial aquifer is within fluvial terrace deposits of Pleistocene age, which unconformably overlie the relatively impermeable Eagle Ford Shale of Late Cretaceous age. Over small distances and short periods, finer grained parts of the aquifer are separated hydraulically; however, most of the aquifer is connected circuitously through randomly distributed coarser grained sediments. The top of the underlying Eagle Ford Shale, a regional confining unit, is assumed to be the effective lower limit of ground-water circulation and chemical contamination.</p><p>The calibrated steady-state model reproduces long-term average water levels within +5.1 or –3.5 feet of those observed; the standard error of the estimate is 1.07 feet with a mean residual of 0.02 foot. Hydraulic conductivity values range from 0.75 to 7.5 feet per day, and average about 4 feet per day. Specific yield values range from 0.005 to 0.15 and average about 0.08. Simulated infiltration rates range from 0 to 2.5 inches per year, depending mostly on local patterns of ground cover.</p><p>Computer simulation indicates that, as of December 31, 1998, remediation systems at NWIRP were removing 7,375 cubic feet of water per day from the alluvial aquifer, with 3,050 cubic feet per day coming from aquifer storage. The resulting drawdown prevented 1,800 cubic feet per day of ground water from discharging into Cottonwood Bay, as well as inducing another 1,325 cubic feet per day into the aquifer from the bay. An additional 1,200 cubic feet of water per day (compared to pre-remediation conditions) was prevented from discharging into the west lagoon, east lagoon, Mountain Creek Lake, and Mountain Creek swale.</p><p>Particle-tracking simulations, assuming an aquifer porosity of 0.15, were made to delineate flowpath patterns, or contaminant “capture zones,” resulting from 2.5- and 5-year periods of remediation activity at NWIRP. The resulting flowlines&nbsp;indicate three such zones, or areas from which ground water is simulated to have been removed during July 1996–December 1998, as well as extended areas from which ground water <i>would be</i> removed during the <i>next</i> 2.5 years (January 1999– June 2001).</p><p>Simulation indicates that, as of December 31, 1998, the recovery trench was intercepting about 827 cubic feet per day of ground water that—without the trench—would have discharged into Cottonwood Bay. During this time, the trench is simulated to have removed about 3,221 cubic feet per day of water from the aquifer, with about 934 cubic feet per day (29 percent) coming from the south (Cottonwood Bay) side of the trench.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri004197","collaboration":"In cooperation with the Department of the Navy, Southern Division Naval Facilities Engineering Command","usgsCitation":"Barker, R.A., and Braun, C.L., 2000, Computer-model analysis of ground-water flow and simulated effects of contaminant remediation at Naval Weapons Industrial Reserve Plant, Dallas, Texas: U.S. Geological Survey Water-Resources Investigations Report 2000-4197, HTML Document; Report: v, 44 p.; 2 Plates: 36.5 x 28 inches and 18 x 18.5 inches, https://doi.org/10.3133/wri004197.","productDescription":"HTML Document; Report: v, 44 p.; 2 Plates: 36.5 x 28 inches and 18 x 18.5 inches","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":161442,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri004197.JPG"},{"id":2782,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri004197/","linkFileType":{"id":5,"text":"html"}},{"id":333097,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/wri004197/pdf/00-4197.pdf","text":"Report","size":"2.57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":333098,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/wri/wri004197/pdf/pl2.pdf","text":"Plate 2","size":"617 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 2"},{"id":333099,"rank":3,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/wri/wri004197/pdf/pl1.pdf","text":"Plate 1","size":"578 KB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 1"}],"country":"United States","state":"Texas","city":"Dallas","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -96.73187255859375,\n              32.560703522325156\n            ],\n            [\n              -96.9873046875,\n              32.56764789050999\n            ],\n            [\n              -97.5,\n              32.6\n            ],\n            [\n              -97.53387451171875,\n              32.80112754111693\n            ],\n            [\n              -97.470703125,\n              32.99484290420988\n            ],\n            [\n              -96.86920166015625,\n              33.23639027157906\n            ],\n            [\n              -96.59454345703125,\n              33.24098472320831\n            ],\n            [\n              -96.5,\n              33\n            ],\n            [\n              -96.52313232421875,\n              32.62087018318113\n            ],\n            [\n              -96.73187255859375,\n              32.560703522325156\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b19e4b07f02db6a75be","contributors":{"authors":[{"text":"Barker, Rene A.","contributorId":82669,"corporation":false,"usgs":true,"family":"Barker","given":"Rene","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":204246,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Braun, Christopher L. 0000-0002-5540-2854 clbraun@usgs.gov","orcid":"https://orcid.org/0000-0002-5540-2854","contributorId":925,"corporation":false,"usgs":true,"family":"Braun","given":"Christopher","email":"clbraun@usgs.gov","middleInitial":"L.","affiliations":[{"id":48595,"text":"Oklahoma-Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":204245,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":30868,"text":"wri004152 - 2000 - Geology, hydrology, and ground-water quality of the Galena-Platteville aquifer in the vicinity of the Parson's Casket Hardware Superfund Site, Belvidere, Illinois","interactions":[],"lastModifiedDate":"2024-05-29T20:47:44.065881","indexId":"wri004152","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4152","displayTitle":"Geology, Hydrology, and Ground-Water Quality of the Galena-Platteville Aquifer in the Vicinity of the Parson’s Casket Hardware Superfund Site, Belvidere, Illinois","title":"Geology, hydrology, and ground-water quality of the Galena-Platteville aquifer in the vicinity of the Parson's Casket Hardware Superfund Site, Belvidere, Illinois","docAbstract":"<p>The geology, hydrology, and distribution of contaminants in the Galena-Platteville aquifer in the vicinity of the Parson's Casket Hardware Superfund site in northeastern Belvidere, Ill., were characterized on the basis of data collected from boreholes using geophysical logging and packer assemblies. Horizontal flow in the Galena-Platteville aquifer is affected by a network of subhorizontal fractures that are concentrated in the weathered part of the bedrock, vugs and fractures present from the bottom of the weathered bedrock to the top of a shaley layer at about 662 ft (feet) above sea level, and through a widespread subhorizontal fracture at about 524 ft. Inclined fractures provide pathways for vertical flow within the Galena-Platteville aquifer. Some fractures and flow pathways appear to be affected by the stratigraphy of the Galena-Platteville deposits.</p><p>Water-level data indicate the potential for downward flow within the Galena-Platteville aquifer. During periods when pumping in nearby municipal-supply wells is minimal or absent, the direction of flow through the fracture at about 524 ft above sea level is south toward two industrial-supply wells. Flow through the fracture is toward the municipal-supply wells when they are being pumped. Flow in the upper part of the Galena-Platteville aquifer does not appear to be affected by pumping in nearby water-supply wells.</p><p>Chlorinated ethenes were the volatile organic compounds detected most often and at the highest concentration in the Galena-Platteville aquifer beneath northeastern Belvidere. Volatile organic compounds are migrating primarily to the southeast toward the Kishwaukee River, with components of movement to the north, east, and west. Volatile organic compound and monitored natural attenuation parameter data indicate reductive dechlorination of some chlorinated ethene compounds is occurring under either nitrate or iron-reducing conditions in the unconsolidated deposits and possibly the upper part of the Galena-Platteville aquifer near the center of the plume. Oxidizing conditions appear to be present at least in the upper part of the aquifer beneath most of the study area, and the occurrence of reductive dechlorination in the Galena-Platteville aquifer beneath most of the area of investigation is not clearly indicated.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri004152","collaboration":"Prepared in cooperation with the Illinois Environmental Protection Agency","usgsCitation":"Kay, R.T., 2000, Geology, hydrology, and ground-water quality of the Galena-Platteville aquifer in the vicinity of the Parson's Casket Hardware Superfund Site, Belvidere, Illinois: U.S. Geological Survey Water-Resources Investigations Report 2000-4152, v., 34 p., https://doi.org/10.3133/wri004152.","productDescription":"v., 34 p.","costCenters":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"links":[{"id":429367,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_37088.htm","linkFileType":{"id":5,"text":"html"}},{"id":2779,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2000/4152/wrir00_4152.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 00–4152"},{"id":161375,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2000/4152/coverthb.jpg"}],"country":"United States","state":"Illinois","city":"Belvidere","otherGeospatial":"Parson's Casket Hardware Superfund site","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -88.83942963287024,\n              42.27140090664139\n            ],\n            [\n              -88.83942963287024,\n              42.264209787102345\n            ],\n            [\n              -88.82460978475213,\n              42.264209787102345\n            ],\n            [\n              -88.82460978475213,\n              42.27140090664139\n            ],\n            [\n              -88.83942963287024,\n              42.27140090664139\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","contact":"<p>Director,&nbsp;<a href=\"https://www.usgs.gov/centers/cm-water\" data-mce-href=\"https://www.usgs.gov/centers/cm-water\">Central Midwest Water Science Center</a><br>U.S. Geological Survey<br>405 North Goodwin<br>Urbana, IL 61801</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geology</li><li>Hydrology</li><li>Ground-Water Quality</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac9e4b07f02db67c580","contributors":{"authors":[{"text":"Kay, Robert T. 0000-0002-6281-8997 rtkay@usgs.gov","orcid":"https://orcid.org/0000-0002-6281-8997","contributorId":1122,"corporation":false,"usgs":true,"family":"Kay","given":"Robert","email":"rtkay@usgs.gov","middleInitial":"T.","affiliations":[{"id":344,"text":"Illinois Water Science Center","active":true,"usgs":true}],"preferred":true,"id":204240,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":30860,"text":"wri004068 - 2000 - Ground-water resources of Tinian, Commonwealth of the Northern Mariana Islands","interactions":[],"lastModifiedDate":"2022-03-28T19:18:00.185761","indexId":"wri004068","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4068","title":"Ground-water resources of Tinian, Commonwealth of the Northern Mariana Islands","docAbstract":"Tinian, which lies in the western Pacific Ocean at latitude 15&deg;N and longitude 145&deg;W (fig. 1), is the second largest island (39.2 mi<sup>2</sup>) in the Commonwealth of the Northern Mariana Islands (CNMI). Fresh ground water is obtained from shallow wells that tap the surface of a freshwater lends found in an aquifer composed mainly of coralline limestone. The main water-supply well withdraws water with a chloride concentration ranging from 160 to 220 mg/L. Current (1999) pumping rates adequately supply the island residents but future demand are expected to be higher.. To better understand the ground-water resources of the island and to learn more about the hydrology of oceanic islands, the U.S. Geological Survey (USGS) entered into a cooperative study with the Municipality of Tinian. The objective of the study, conducted between 1990 and 1997, was to assess the ground-water resources of the is;land. This report presents some of the results of the study including a description of the island's geology and geography, the current land use, the water-production system, the thickness and arcal extent of the freshwater lens, the water-table configuration and directions of ground-water flow. The report also discusses the relation of the changes in water-table elevation to daily and seasonal changes in ocean level.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri004068","usgsCitation":"Gingerich, S.B., and Yeatts, D.S., 2000, Ground-water resources of Tinian, Commonwealth of the Northern Mariana Islands: U.S. Geological Survey Water-Resources Investigations Report 2000-4068, 2 Plates: 32.86 x 32.62 and 33.08 x 32.55 inches, https://doi.org/10.3133/wri004068.","productDescription":"2 Plates: 32.86 x 32.62 and 33.08 x 32.55 inches","costCenters":[],"links":[{"id":160293,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri004068.PNG"},{"id":279491,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/wri/2000/4068/plate-1.pdf"},{"id":279492,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/wri/2000/4068/plate-2.pdf"},{"id":397737,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_31434.htm"}],"scale":"47600","country":"Commonwealth of the Northern Mariana Islands","otherGeospatial":"Tinian Island","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              145.5739974975586,\n              14.91492891904192\n            ],\n            [\n              145.6848907470703,\n              14.91492891904192\n            ],\n            [\n              145.6848907470703,\n              15.110244030251552\n            ],\n            [\n              145.5739974975586,\n              15.110244030251552\n            ],\n            [\n              145.5739974975586,\n              14.91492891904192\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9ae4b07f02db65d590","contributors":{"authors":[{"text":"Gingerich, Stephen B. 0000-0002-4381-0746 sbginger@usgs.gov","orcid":"https://orcid.org/0000-0002-4381-0746","contributorId":1426,"corporation":false,"usgs":true,"family":"Gingerich","given":"Stephen","email":"sbginger@usgs.gov","middleInitial":"B.","affiliations":[{"id":518,"text":"Oregon Water Science Center","active":true,"usgs":true},{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":204223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Yeatts, Daniel S.","contributorId":22015,"corporation":false,"usgs":true,"family":"Yeatts","given":"Daniel","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":204224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":30853,"text":"wri004000 - 2000 - Delineation of groundwater recharge areas, western Cape Cod, Massachusetts","interactions":[],"lastModifiedDate":"2020-02-23T17:55:50","indexId":"wri004000","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4000","title":"Delineation of groundwater recharge areas, western Cape Cod, Massachusetts","docAbstract":"<p>The unconfined sand-and-gravel aquifer in western Cape Cod, Massachusetts, which is the sole source of water supply for the communities in the area, is recharged primarily from precipitation. The rate of recharge from precipitation is estimated to be about 26 inches per year (in/yr), or about 60 percent of the precipitation rate. This recharge rate yields a flow through the aquifer of about 180 million gallons per day (Mgal/d). Groundwater flows radially outward from the top of the water-table mound in the north-central part of the flow system toward the coast, as indicated by the water-table contours on the large map on this sheet. Recharge that reaches the water table near the top of the mound travels deeper through the aquifer than recharge that reaches the water table closer to the coast. All recharge to the aquifer ultimately discharges to pumping wells, streams, or coastal areas; however, some of this recharge may flow first through kettle ponds before eventually reaching these discharge points.</p>\n<p>&nbsp;</p>\n<p>Continued land development and population growth on western Cape Cod, and activities related to the operation of the Massachusetts Military Reservation (MMR), have created concerns regarding the supply of potable water in western Cape Cod and the quality and quantity of water discharging to ponds, streams, and coastal areas. Recent investigations estimated the future demand for drinking water in western Cape Cod, as well as the areas that contribute water to existing and proposed public-supply wells. Determining the source of freshwater that discharges to ponds, streams, and coastal areas is of critical importance in the protection of these natural resources for the communities of western Cape Cod.</p>\n<p>&nbsp;</p>\n<p>The purpose of this report is to illustrate concepts of ground-water recharge areas under average pumping and recharge conditions. This report presents results of an investigation conducted by the U.S. Geological Survey (USGS), in cooperation with the Air Force Center for Environmental Excellence (AFCEE), to delineate the areas that contribute recharge to public-supply wells, ponds, streams, and coastal areas on western Cape Cod for average annual pumping and recharge rates for the period of 1994&ndash;1996.</p>\n<p>&nbsp;</p>\n<p>The time period of 1994&ndash;1996 was selected for this analysis because it represents the average stress conditions prior to large-scale pumping, treatment, and reinjection of water from the MMR Installation Restoration Program's ground-water remediation systems. The pumping and reinjection of large amounts of water from these remediation systems would complicate greatly the delineation of ground-water recharge areas and therefore is beyond the scope of this analysis. The Chemical Spill-4 plume-containment system, however, is included in the simulation since it has been operating since 1993 and has been pumping, treating, and reinjecting only about 0.2 Mgal/d of water.</p>\n<p>&nbsp;</p>\n<p>Since 1996, however, AFCEE has constructed remediation systems for seven additional contaminant plumes that are not included in this analysis. Currently (1999), these systems are pumping, treating, and reinjecting about 9.7 Mgal/d. By 2002, when all of these systems, including those being designed, are expected to be operating, it is estimated that they will be pumping, treating, and reinjecting as much as 15.6 Mgal/d of water in the western Cape Cod aquifer.</p>\n<p>&nbsp;</p>\n<p>For additional information on the hydrology and geology of western Cape Cod, the reader is referred to the following reports: LeBlanc and others (1986), Barlow and Hess (1993), Masterson and others (1997a), Masterson and others (1997b), Masterson and others (1998), Ogden Environmental and Energy Services, Inc. (1998) and Jacobs Engineering Group, Inc. (1999).</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri004000","collaboration":"Prepared in cooperation with the Air Force Center for Environmental Excellence","usgsCitation":"Masterson, J., and Walter, D.A., 2000, Delineation of groundwater recharge areas, western Cape Cod, Massachusetts: U.S. Geological Survey Water-Resources Investigations Report 2000-4000, Report: 47.00 x 33.22 inches, https://doi.org/10.3133/wri004000.","productDescription":"Report: 47.00 x 33.22 inches","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":296657,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri004000.jpg"},{"id":296655,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/2000/4000/"},{"id":296656,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2000/4000/pdf/wrir2000-4000.pdf","size":"2.88 MB","linkFileType":{"id":1,"text":"pdf"}}],"scale":"24000","projection":"Universal Transverse Mercator projection","country":"United States","state":"Massachusetts","otherGeospatial":"Cape Cod","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.71281433105469,\n              41.51526153886555\n            ],\n            [\n              -70.71281433105469,\n              41.78206502192826\n            ],\n            [\n              -70.3186798095703,\n              41.78206502192826\n            ],\n            [\n              -70.3186798095703,\n              41.51526153886555\n            ],\n            [\n              -70.71281433105469,\n              41.51526153886555\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ab4e4b07f02db670036","contributors":{"authors":[{"text":"Masterson, John P. 0000-0003-3202-4413 jpmaster@usgs.gov","orcid":"https://orcid.org/0000-0003-3202-4413","contributorId":1865,"corporation":false,"usgs":true,"family":"Masterson","given":"John P.","email":"jpmaster@usgs.gov","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":false,"id":204206,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Walter, Donald A. 0000-0003-0879-4477 dawalter@usgs.gov","orcid":"https://orcid.org/0000-0003-0879-4477","contributorId":1101,"corporation":false,"usgs":true,"family":"Walter","given":"Donald","email":"dawalter@usgs.gov","middleInitial":"A.","affiliations":[{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":204205,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":26833,"text":"wri004163 - 2000 - Probability of detecting atrazine/desethyl-atrazine and elevated concentrations of nitrate plus nitrate as nitrogen in ground water in the Idaho part of the western Snake River Plain","interactions":[],"lastModifiedDate":"2022-09-30T18:41:52.908609","indexId":"wri004163","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4163","title":"Probability of detecting atrazine/desethyl-atrazine and elevated concentrations of nitrate plus nitrate as nitrogen in ground water in the Idaho part of the western Snake River Plain","docAbstract":"As ground water continues to provide an ever-growing proportion of Idaho?s drinking water, concerns about the quality of that resource are increasing. Pesticides (most commonly, atrazine/desethyl-atrazine, hereafter referred to as atrazine) and nitrite plus nitrate as nitrogen (hereafter referred to as nitrate) have been detected in many aquifers in the State. To provide a sound hydrogeologic basis for atrazine and nitrate management in southern Idaho&mdash;the largest region of land and water use in the State&mdash;the U.S. Geological Survey produced maps showing the probability of detecting these contaminants in ground water in the upper Snake River Basin (published in a 1998 report) and the western Snake River Plain (published in this report). The atrazine probability map for the western Snake River Plain was constructed by overlaying ground-water quality data with hydrogeologic and anthropogenic data in a geographic information system (GIS). A data set was produced in which each well had corresponding information on land use, geology, precipitation, soil characteristics, regional depth to ground water, well depth, water level, and atrazine use. These data were analyzed by logistic regression using a statistical software package. Several preliminary multivariate models were developed and those that best predicted the detection of atrazine were selected. The multivariate models then were entered into a GIS and the probability maps were produced. Land use, precipitation, soil hydrologic group, and well depth were significantly correlated with atrazine detections in the western Snake River Plain. These variables also were important in the 1998 probability study of the upper Snake River Basin. The effectiveness of the probability models for atrazine might be improved if more detailed data were available for atrazine application. A preliminary atrazine probability map for the entire Snake River Plain in Idaho, based on a data set representing that region, also was produced. In areas where this map overlaps the 1998 map of the upper Snake River Basin, the two maps show broadly similar probabilities of detecting atrazine. Logistic regression also was used to develop a preliminary statistical model that predicts the probability of detecting elevated nitrate in the western Snake River Plain. A nitrate probability map was produced from this model. Results showed that elevated nitrate concentrations were correlated with land use, soil organic content, well depth, and water level. Detailed information on nitrate input, specifically fertilizer application, might have improved the effectiveness of this model.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri004163","collaboration":"Prepared in cooperation with Idaho State Department of Agriculture","usgsCitation":"Donato, M.M., 2000, Probability of detecting atrazine/desethyl-atrazine and elevated concentrations of nitrate plus nitrate as nitrogen in ground water in the Idaho part of the western Snake River Plain: U.S. Geological Survey Water-Resources Investigations Report 2000-4163, Report: iv, 25 p.; 1 Plate: 24 x 35 inches, https://doi.org/10.3133/wri004163.","productDescription":"Report: iv, 25 p.; 1 Plate: 24 x 35 inches","numberOfPages":"31","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":262324,"rank":900,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/wri/2000/4163/plate-1.pdf"},{"id":407729,"rank":2,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_33863.htm","linkFileType":{"id":5,"text":"html"}},{"id":262326,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2000/4163/report-thumb.jpg"},{"id":262325,"rank":800,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2000/4163/report.pdf"}],"country":"United States","state":"Idaho","otherGeospatial":"western Snake River Plain","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -117.133,\n              42.55\n            ],\n            [\n              -114.927,\n              42.55\n            ],\n            [\n              -114.927,\n              44.867\n            ],\n            [\n              -117.133,\n              44.867\n            ],\n            [\n              -117.133,\n              42.55\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a90e4b07f02db655fb2","contributors":{"authors":[{"text":"Donato, Mary M.","contributorId":30962,"corporation":false,"usgs":true,"family":"Donato","given":"Mary","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":197087,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":21946,"text":"ofr00212 - 2000 - Methods of analysis by the U.S. Geological Survey National Water Quality Laboratory-Processing, taxonomy, and quality control of benthic macroinvertebrate samples","interactions":[{"subject":{"id":18601,"text":"ofr93407 - 1993 - Guidelines for the processing and quality assurance of benthic invertebrate samples collected as part of the National Water-Quality Assessment Program","indexId":"ofr93407","publicationYear":"1993","noYear":false,"title":"Guidelines for the processing and quality assurance of benthic invertebrate samples collected as part of the National Water-Quality Assessment Program"},"predicate":"SUPERSEDED_BY","object":{"id":21946,"text":"ofr00212 - 2000 - Methods of analysis by the U.S. Geological Survey National Water Quality Laboratory-Processing, taxonomy, and quality control of benthic macroinvertebrate samples","indexId":"ofr00212","publicationYear":"2000","noYear":false,"title":"Methods of analysis by the U.S. Geological Survey National Water Quality Laboratory-Processing, taxonomy, and quality control of benthic macroinvertebrate samples"},"id":1}],"lastModifiedDate":"2021-05-28T18:33:28.578458","indexId":"ofr00212","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","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":"2000-212","title":"Methods of analysis by the U.S. Geological Survey National Water Quality Laboratory-Processing, taxonomy, and quality control of benthic macroinvertebrate samples","docAbstract":"Qualitative and quantitative methods to\r\nprocess benthic macroinvertebrate (BMI)\r\nsamples have been developed and tested\r\nby the U.S. Geological Survey?s National\r\nWater Quality Laboratory Biological Group.\r\nThe qualitative processing method is\r\nbased on visually sorting a sample for up to\r\n2 hours. Sorting focuses on attaining organisms\r\nthat are likely to result in taxonomic\r\nidentifications to lower taxonomic levels (for\r\nexample, Genus or Species). Immature and\r\ndamaged organisms are also sorted when\r\nthey are likely to result in unique determinations.\r\nThe sorted sample remnant is\r\nscanned briefly by a second person to determine\r\nif obvious taxa were missed.\r\nThe quantitative processing method is\r\nbased on a fixed-count approach that targets\r\nsome minimum count, such as 100 or\r\n300 organisms. Organisms are sorted from\r\nrandomly selected 5.1- by 5.1-centimeter\r\nparts of a gridded subsampling frame. The\r\nsorted remnant from each sample is resorted\r\nby a second individual for at least 10\r\npercent of the original sort time. A large-rare\r\norganism search is performed on the unsorted\r\nremnant to sort BMI taxa that were\r\nnot likely represented in the sorted grids.\r\nAfter either qualitatively or quantitatively\r\nsorting the sample, BMIs are identified by\r\nusing one of three different types of taxonomic\r\nassessment. The Standard Taxonomic\r\nAssessment is comparable to the\r\nU.S. Environmental Protection Agency\r\nRapid Bioassessment Protocol III and typically\r\nprovides Genus- or Species-level taxonomic\r\nresolution. The Rapid Taxonomic Assessment\r\nis comparable to the U.S. Environmental\r\nProtection Agency Rapid Bioassessment\r\nProtocol II and provides Familylevel\r\nand higher taxonomic resolution. The\r\nCustom Taxonomic Assessment provides\r\nSpecies-level resolution whenever possible\r\nfor groups identified to higher taxonomic\r\nlevels by using the Standard Taxonomic\r\nAssessment. The consistent use of standardized\r\ndesignations and notes facilitates\r\nthe interpretation of BMI data within and\r\namong water-quality studies. Taxonomic\r\nidentifications are quality assured by verifying\r\nall referenced taxa and randomly reviewing\r\n10 percent of the taxonomic identifications\r\nperformed weekly by Biological\r\nGroup taxonomists. Taxonomic errors discovered\r\nduring this review are corrected.\r\nBMI data are reviewed for accuracy and\r\ncompleteness prior to release. BMI data are\r\nreleased phylogenetically in spreadsheet\r\nformat and unprocessed abundances are\r\ncorrected for laboratory and field subsampling\r\nwhen necessary.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr00212","issn":"0094-9140","usgsCitation":"Moulton, S.R., Carter, J.L., Grotheer, S.A., Cuffney, T.F., and Short, T.M., 2000, Methods of analysis by the U.S. Geological Survey National Water Quality Laboratory-Processing, taxonomy, and quality control of benthic macroinvertebrate samples: U.S. Geological Survey Open-File Report 2000-212, vii, 49 p., https://doi.org/10.3133/ofr00212.","productDescription":"vii, 49 p.","costCenters":[{"id":452,"text":"National Water Quality Laboratory","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":153715,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0212/report-thumb.jpg"},{"id":1285,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://nwql.usgs.gov/Public/pubs/OFR00-212.html","linkFileType":{"id":5,"text":"html"}},{"id":51421,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0212/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62bc2e","contributors":{"authors":[{"text":"Moulton, Stephen R. II","contributorId":10451,"corporation":false,"usgs":true,"family":"Moulton","given":"Stephen","suffix":"II","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":186374,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Carter, James L. 0000-0002-0104-9776 jlcarter@usgs.gov","orcid":"https://orcid.org/0000-0002-0104-9776","contributorId":3278,"corporation":false,"usgs":true,"family":"Carter","given":"James","email":"jlcarter@usgs.gov","middleInitial":"L.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":186372,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Grotheer, Scott A. sagrothe@usgs.gov","contributorId":3467,"corporation":false,"usgs":true,"family":"Grotheer","given":"Scott","email":"sagrothe@usgs.gov","middleInitial":"A.","affiliations":[],"preferred":true,"id":186373,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"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":186370,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Short, Terry M. 0000-0001-9941-4593 tmshort@usgs.gov","orcid":"https://orcid.org/0000-0001-9941-4593","contributorId":1718,"corporation":false,"usgs":true,"family":"Short","given":"Terry","email":"tmshort@usgs.gov","middleInitial":"M.","affiliations":[{"id":438,"text":"National Research Program - Western Branch","active":true,"usgs":true}],"preferred":true,"id":186371,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":21891,"text":"ofr00483 - 2000 - Interaction between ground water and surface water in Taylor Slough and vicinity, Everglades National Park, South Florida: Study methods and appendixes","interactions":[],"lastModifiedDate":"2022-05-12T21:35:40.31506","indexId":"ofr00483","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","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":"2000-483","title":"Interaction between ground water and surface water in Taylor Slough and vicinity, Everglades National Park, South Florida: Study methods and appendixes","docAbstract":"The data presented in this report are products of an investigation that quantified interactions between ground water and surface water in Taylor Slough in Everglades National Park. Determining the extent of hydrologic interactions between wetland surface water and ground water in Taylor Slough is important because the balance of freshwater flow in the lower part of the Slough is uncertain. Although freshwater flows through Taylor Slough are quite small in comparison to Shark Slough (the larger of the two major sloughs in Everglades National Park), flows through Taylor Slough are especially important to the ecology of estuarine mangrove embayments of northeastern Florida Bay. Also, wetland and ground- water interactions must be quantified if their role in affecting water quality is to be determined. \r\n\r\nIn order to define basic hydrologic characteristics of the wetland, depth of wetland peat was mapped, and hydraulic conductivity and vertical hydraulic gradients in peat were determined. During specific time periods representing both wet and dry conditions in the area, the distribution of major ions, nutrients, and water stable isotopes throughout the slough were determined. The purpose of chemical measurements was to identify an environmental tracer could be used to quantify ground-water discharge.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr00483","issn":"0566-8174","usgsCitation":"Harvey, J.W., Jackson, J.M., Mooney, R.H., and Choi, J., 2000, Interaction between ground water and surface water in Taylor Slough and vicinity, Everglades National Park, South Florida: Study methods and appendixes: U.S. Geological Survey Open-File Report 2000-483, vi, 67 p., https://doi.org/10.3133/ofr00483.","productDescription":"vi, 67 p.","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":51381,"rank":299,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0483/report.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 00-483"},{"id":400600,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_49799.htm"},{"id":154149,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0483/report-thumb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Taylor Slough","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.66299438476562,\n              25.351472502592568\n            ],\n            [\n              -80.57373046875,\n              25.351472502592568\n            ],\n            [\n              -80.57373046875,\n              25.401724200763503\n            ],\n            [\n              -80.66299438476562,\n              25.401724200763503\n            ],\n            [\n              -80.66299438476562,\n              25.351472502592568\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>3321 College Avenue<br>Davie, FL 33314</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49b7e4b07f02db5cc210","contributors":{"authors":[{"text":"Harvey, Judson W. 0000-0002-2654-9873 jwharvey@usgs.gov","orcid":"https://orcid.org/0000-0002-2654-9873","contributorId":1796,"corporation":false,"usgs":true,"family":"Harvey","given":"Judson","email":"jwharvey@usgs.gov","middleInitial":"W.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":186133,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jackson, J. M.","contributorId":95503,"corporation":false,"usgs":true,"family":"Jackson","given":"J.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":186135,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mooney, R. H.","contributorId":95504,"corporation":false,"usgs":true,"family":"Mooney","given":"R.","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":186136,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Choi, Jungyill","contributorId":70792,"corporation":false,"usgs":true,"family":"Choi","given":"Jungyill","email":"","affiliations":[],"preferred":false,"id":186134,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":23045,"text":"ofr00214 - 2000 - Quality of ground water and surface water in an area of individual sewage disposal system use near Barker Reservoir, Nederland, Colorado, August-September 1998","interactions":[],"lastModifiedDate":"2021-11-26T21:56:10.912615","indexId":"ofr00214","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","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":"2000-214","title":"Quality of ground water and surface water in an area of individual sewage disposal system use near Barker Reservoir, Nederland, Colorado, August-September 1998","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr00214","issn":"0094-9140","usgsCitation":"Flynn, J.L., and Barber, L.B., 2000, Quality of ground water and surface water in an area of individual sewage disposal system use near Barker Reservoir, Nederland, Colorado, August-September 1998: U.S. Geological Survey Open-File Report 2000-214, 8 p., https://doi.org/10.3133/ofr00214.","productDescription":"8 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":392154,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_32191.htm"},{"id":1474,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/ofr00-214/","linkFileType":{"id":5,"text":"html"}},{"id":156409,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"country":"United States","state":"Colorado","city":"Nederland","otherGeospatial":"Barker Reservoir","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -105.50454139709473,\n              39.95929352188359\n            ],\n            [\n              -105.48171043395995,\n              39.95929352188359\n            ],\n            [\n              -105.48171043395995,\n              39.970279452701796\n            ],\n            [\n              -105.50454139709473,\n              39.970279452701796\n            ],\n            [\n              -105.50454139709473,\n              39.95929352188359\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a8fe4b07f02db6550d2","contributors":{"authors":[{"text":"Flynn, Jennifer L.","contributorId":66298,"corporation":false,"usgs":true,"family":"Flynn","given":"Jennifer","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":189344,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barber, L. B.","contributorId":64602,"corporation":false,"usgs":true,"family":"Barber","given":"L.","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":189343,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":22790,"text":"ofr00229 - 2000 - Method of analysis and quality-assurance practices for determination of pesticides in water by solid-phase extraction and capillary-column gas chromatography/mass spectrometry at the U.S. Geological Survey California District Organic Chemistry Laboratory, 1996-99","interactions":[],"lastModifiedDate":"2020-03-23T06:56:55","indexId":"ofr00229","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","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":"2000-229","title":"Method of analysis and quality-assurance practices for determination of pesticides in water by solid-phase extraction and capillary-column gas chromatography/mass spectrometry at the U.S. Geological Survey California District Organic Chemistry Laboratory, 1996-99","docAbstract":"A method of analysis and quality-assurance practices were developed to study the fate and transport of pesticides in the San Francisco Bay-Estuary by the U.S. Geological Survey. Water samples were filtered to remove suspended-particulate matter and pumped through C-8 solid-phase extraction cartridges to extract the pesticides. The cartridges were dried with carbon dioxide and the pesticides were eluted with three cartridge volumes of hexane:diethyl ether (1:1) solution. The eluants were analyzed using capillary-column gas chromatography/mass spectrometry in full-scan mode. Method detection limits for pesticides ranged from 0.002 to 0.025 microgram per liter for 1-liter samples. Recoveries ranged from 44 to 140 percent for 25 pesticides in samples of organic-free reagent water and Sacramento-San Joaquin Delta and Suisun Bay water fortified at 0.05 and 0.50 microgram per liter. The estimated holding time for pesticides after extraction on C-8 solid-phase extraction cartridges ranged from 10 to 257 days.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr00229","issn":"0094-9140","usgsCitation":"Crepeau, K.L., Baker, L.M., and Kuivila, K., 2000, Method of analysis and quality-assurance practices for determination of pesticides in water by solid-phase extraction and capillary-column gas chromatography/mass spectrometry at the U.S. Geological Survey California District Organic Chemistry Laboratory, 1996-99: U.S. Geological Survey Open-File Report 2000-229, iv, 19 p., https://doi.org/10.3133/ofr00229.","productDescription":"iv, 19 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology 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,{"id":23129,"text":"ofr2000245 - 2000 - Interim report on the scientific investigations in the Animas River watershed, Colorado to facilitate remediation decisions by the U.S. Bureau of Land Management and the U.S. Forest Service, March 29, 2000 meeting, Denver, Colo.","interactions":[],"lastModifiedDate":"2022-02-03T22:13:45.742285","indexId":"ofr2000245","displayToPublicDate":"2001-07-01T00:00:00","publicationYear":"2000","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":"2000-245","title":"Interim report on the scientific investigations in the Animas River watershed, Colorado to facilitate remediation decisions by the U.S. Bureau of Land Management and the U.S. Forest Service, March 29, 2000 meeting, Denver, Colo.","docAbstract":"INTRODUCTION\r\nThe joint U.S. Department of the Interior and U.S. Department of Agriculture Abandoned Mine Lands\r\nInitiative (AMLI) was developed as a collaborative effort between the Federal land management agencies (FLMA,\r\nthat is the U.S. Bureau of Land Management and the U.S. Forest Service) and the U.S. Geological Survey (USGS)\r\nin 1996. The stated goal of the AML Initiative was to develop a strategy for gathering and communicating the\r\nscientific information needed to develop effective and cost-efficient remediation of abandoned mines within the\r\nframework of a watershed. Four primary objectives of the AMLI are to:\r\n1. Provide the scientific information needed (in the short-term) by the FLMAs to make decisions related to the\r\ndesign and implementation of cleanup actions,\r\n2. Develop a multi-disciplined, multi-division approach that integrates geologic, hydrologic, geochemical and\r\necological information into a knowledge base for sound decision making,\r\n3. Transfer technologies developed within the scientific programs of the USGS to the field and demonstrate\r\ntheir suitability to solve real, practical problems, and\r\n4. Establish working relationships among involved members of land management and regulatory agencies\r\nwithin the framework of a watershed approach to the cleanup of abandoned mines.\r\nLong-term process-based research, including development of analytical tools, is recognized as being critical to the\r\nlong-term success in remediating watersheds impacted by historical mining activities (AML 5-year plan,\r\nhttp://amli.usgs.gov/amli).\r\nIn a meeting of Federal agencies (U.S. Bureau of Land Management [BLM], U.S. Bureau of Reclamation\r\n[BOR], U.S. National Park Service [NPS], U.S. Forest Service [USFS], the U.S. Environmental Protection Agency\r\n[EPA], the U.S. Fish and Wildlife Service [F&WS]), and State agencies (Colorado Division of Public Health and\r\nEnvironment, Colorado Division of Mines and Geology), several watersheds were examined within the state whose\r\nwater quality was presumed to be impacted by historical mining activities. The Animas River watershed (fig. 1) was\r\nselected by the State and Federal agencies as one of two watersheds in the U.S. to be studied in detail by the USGS\r\nin the AML Initiative. Beginning in October 1997, each of the four Divisions of the USGS (Water Resources,\r\nGeologic, Biological Resources, and National Mapping) initiated a collaborative integrated science study of the\r\nwatershed. Funds were provided from USGS base funding to each of the four Divisions in response to the priorities\r\nset by Congressional action and within the flexibility provided by the budgetary framework funding individual\r\nresearch programs. The AML Initiative provides for a five-year focused scientific effort in the two watersheds with\r\nfinal synthesis of the scientific results from each to be published in 2001. Publications are released on the AML web\r\nsite on a regular basis (http://amli.usgs.gov/amli).\r\nOn March 29, 2000, the USGS hosted a meeting for the BLM and USFS to discuss remediation options that\r\nwere under consideration for the summer of 2000. The purpose of this report is to provide an overview of the\r\nscientific rational provided by the USGS to meet objective one above, and to summarize our preliminary\r\ninterpretations of our data. Additional information from sites on private lands have been collected by the State of\r\nColorado, EPA, and the ARSG. Unfortunately, these data have not been fully supplied to the USGS so our\r\nconclusions are based only upon our data. These interpretations provide science-based constraints on possible\r\nremediation options to be considered by the FLMA, the State, and local property owners in the Animas River\r\nwatershed. The report is presented in outline format to facilitate discussion of remediation options at the March 29,\r\n2000 meeting. Not all historical mining sites within the watershed are on public lands. This should not be construed\r\nto be a final report of the USGS","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr2000245","issn":"0094-9140","usgsCitation":"Water Resources Division, U.S. Geological Survey, 2000, Interim report on the scientific investigations in the Animas River watershed, Colorado to facilitate remediation decisions by the U.S. Bureau of Land Management and the U.S. Forest Service, March 29, 2000 meeting, Denver, Colo. (Version 1.0): U.S. Geological Survey Open-File Report 2000-245, 34 p., https://doi.org/10.3133/ofr2000245.","productDescription":"34 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":155693,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":395418,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_26998.htm"},{"id":9154,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2000/ofr-00-0245/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Denver","otherGeospatial":"Animas River watershed","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -107.8,37.773 ], [ -107.8,37.954 ], [ -107.517,37.954 ], [ -107.517,37.773 ], [ -107.8,37.773 ] ] ] } } ] }","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dbe4b07f02db5e094d","contributors":{"authors":[{"text":"Water Resources Division, U.S. Geological Survey","contributorId":128075,"corporation":true,"usgs":false,"organization":"Water Resources Division, U.S. Geological Survey","id":529108,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":21658,"text":"ofr00373 - 2000 - Chemical and isotopic composition of water from springs, wells, and streams in parts of Shenandoah National Park, Virginia, and vicinity, 1995-1999","interactions":[],"lastModifiedDate":"2020-02-23T18:07:32","indexId":"ofr00373","displayToPublicDate":"2001-06-01T00:00:00","publicationYear":"2000","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":"2000-373","title":"Chemical and isotopic composition of water from springs, wells, and streams in parts of Shenandoah National Park, Virginia, and vicinity, 1995-1999","docAbstract":"<p>No abstract available.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr00373","issn":"0566-8174","usgsCitation":"Plummer, N., Busenberg, E., Bohlke, J., Carmody, R., Casile, G., Coplen, T., Doughten, M., Hannon, J., Kirkland, W., Michel, R.L., Nelms, D., Norton, B., Plummer, K., Qi, H., Revesz, K., Schlosser, P., Spitzer, S., Wayland, J., and Widman, P., 2000, Chemical and isotopic composition of water from springs, wells, and streams in parts of Shenandoah National Park, Virginia, and vicinity, 1995-1999: U.S. Geological Survey Open-File Report 2000-373, v, 70 p. , https://doi.org/10.3133/ofr00373.","productDescription":"v, 70 p. ","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":155999,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2000/0373/report-thumb.jpg"},{"id":51205,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2000/0373/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Virginia","otherGeospatial":"Shenandoah National Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.4696044921875,\n              37.35269280367274\n            ],\n            [\n              -77.069091796875,\n              37.35269280367274\n            ],\n            [\n              -77.069091796875,\n              39.18969082109678\n            ],\n            [\n              -79.4696044921875,\n              39.18969082109678\n            ],\n            [\n              -79.4696044921875,\n              37.35269280367274\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4783e4b07f02db483c2d","contributors":{"authors":[{"text":"Plummer, Niel 0000-0002-4020-1013 nplummer@usgs.gov","orcid":"https://orcid.org/0000-0002-4020-1013","contributorId":190100,"corporation":false,"usgs":true,"family":"Plummer","given":"Niel","email":"nplummer@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":185115,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Busenberg, Eurybiades ebusenbe@usgs.gov","contributorId":2271,"corporation":false,"usgs":true,"family":"Busenberg","given":"Eurybiades","email":"ebusenbe@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":185113,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohlke, John Karl 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":66293,"corporation":false,"usgs":true,"family":"Bohlke","given":"John Karl","affiliations":[],"preferred":false,"id":185125,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Carmody, R.W.","contributorId":65103,"corporation":false,"usgs":true,"family":"Carmody","given":"R.W.","email":"","affiliations":[],"preferred":false,"id":185124,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casile, G.C.","contributorId":100422,"corporation":false,"usgs":true,"family":"Casile","given":"G.C.","affiliations":[],"preferred":false,"id":185129,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Coplen, T.B.","contributorId":34147,"corporation":false,"usgs":true,"family":"Coplen","given":"T.B.","affiliations":[],"preferred":false,"id":185119,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Doughten, M. W.","contributorId":101648,"corporation":false,"usgs":true,"family":"Doughten","given":"M. W.","affiliations":[],"preferred":false,"id":185130,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Hannon, J.E.","contributorId":37368,"corporation":false,"usgs":true,"family":"Hannon","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":185120,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Kirkland, Wandee","contributorId":32947,"corporation":false,"usgs":true,"family":"Kirkland","given":"Wandee","email":"","affiliations":[],"preferred":false,"id":185118,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Michel, R. L.","contributorId":86375,"corporation":false,"usgs":true,"family":"Michel","given":"R.","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":185127,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Nelms, D.L.","contributorId":32189,"corporation":false,"usgs":true,"family":"Nelms","given":"D.L.","email":"","affiliations":[],"preferred":false,"id":185117,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Norton, B.C.","contributorId":99181,"corporation":false,"usgs":true,"family":"Norton","given":"B.C.","email":"","affiliations":[],"preferred":false,"id":185128,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Plummer, K.E.","contributorId":29467,"corporation":false,"usgs":true,"family":"Plummer","given":"K.E.","email":"","affiliations":[],"preferred":false,"id":185116,"contributorType":{"id":1,"text":"Authors"},"rank":13},{"text":"Qi, Haiping 0000-0002-8339-744X haipingq@usgs.gov","orcid":"https://orcid.org/0000-0002-8339-744X","contributorId":507,"corporation":false,"usgs":true,"family":"Qi","given":"Haiping","email":"haipingq@usgs.gov","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true}],"preferred":true,"id":185112,"contributorType":{"id":1,"text":"Authors"},"rank":14},{"text":"Revesz, Kinga","contributorId":64285,"corporation":false,"usgs":true,"family":"Revesz","given":"Kinga","affiliations":[],"preferred":false,"id":185123,"contributorType":{"id":1,"text":"Authors"},"rank":15},{"text":"Schlosser, Peter","contributorId":50936,"corporation":false,"usgs":true,"family":"Schlosser","given":"Peter","email":"","affiliations":[],"preferred":false,"id":185121,"contributorType":{"id":1,"text":"Authors"},"rank":16},{"text":"Spitzer, Shane","contributorId":63421,"corporation":false,"usgs":true,"family":"Spitzer","given":"Shane","email":"","affiliations":[],"preferred":false,"id":185122,"contributorType":{"id":1,"text":"Authors"},"rank":17},{"text":"Wayland, J.E.","contributorId":69190,"corporation":false,"usgs":true,"family":"Wayland","given":"J.E.","email":"","affiliations":[],"preferred":false,"id":185126,"contributorType":{"id":1,"text":"Authors"},"rank":18},{"text":"Widman, P.K.","contributorId":19589,"corporation":false,"usgs":true,"family":"Widman","given":"P.K.","email":"","affiliations":[],"preferred":false,"id":185114,"contributorType":{"id":1,"text":"Authors"},"rank":19}]}}
,{"id":25797,"text":"wri004087 - 2000 - A three-dimensional finite-volume Eulerian-Lagrangian Localized Adjoint Method (ELLAM) for solute-transport modeling","interactions":[],"lastModifiedDate":"2023-09-14T18:09:43.384633","indexId":"wri004087","displayToPublicDate":"2001-06-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4087","title":"A three-dimensional finite-volume Eulerian-Lagrangian Localized Adjoint Method (ELLAM) for solute-transport modeling","docAbstract":"This report documents the U.S. Geological Survey Eulerian-Lagrangian Localized Adjoint Method (ELLAM) algorithm that solves an integral form of the solute-transport equation, incorporating an implicit-in-time difference approximation for the dispersive and sink terms. Like the algorithm in the original version of the U.S. Geological Survey MOC3D transport model, ELLAM uses a method of characteristics approach to solve the transport equation on the basis of the velocity field. The ELLAM algorithm, however, is based on an integral formulation of conservation of mass and uses appropriate numerical techniques to obtain global conservation of mass. The implicit procedure eliminates several stability criteria required for an explicit formulation. Consequently, ELLAM allows large transport time increments to be used. ELLAM can produce qualitatively good results using a small number of transport time steps. A description of the ELLAM numerical method, the data-input requirements and output options, and the results of simulator testing and evaluation are presented. The ELLAM algorithm was evaluated for the same set of problems used to test and evaluate Version 1 and Version 2 of MOC3D. These test results indicate that ELLAM offers a viable alternative to the explicit and implicit solvers in MOC3D. Its use is desirable when mass balance is imperative or a fast, qualitative model result is needed. Although accurate solutions can be generated using ELLAM, its efficiency relative to the two previously documented solution algorithms is problem dependent.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri004087","usgsCitation":"Heberton, C., Russell, T., Konikow, L.F., and Hornberger, G., 2000, A three-dimensional finite-volume Eulerian-Lagrangian Localized Adjoint Method (ELLAM) for solute-transport modeling: U.S. Geological Survey Water-Resources Investigations Report 2000-4087, viii, 63 p., https://doi.org/10.3133/wri004087.","productDescription":"viii, 63 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":157885,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2000/4087/report-thumb.jpg"},{"id":2048,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2000/4087/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b16e4b07f02db6a5715","contributors":{"authors":[{"text":"Heberton, C.I.","contributorId":77966,"corporation":false,"usgs":true,"family":"Heberton","given":"C.I.","email":"","affiliations":[],"preferred":false,"id":195116,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Russell, T.F.","contributorId":86811,"corporation":false,"usgs":true,"family":"Russell","given":"T.F.","email":"","affiliations":[],"preferred":false,"id":195117,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"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":195114,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hornberger, G.Z.","contributorId":71582,"corporation":false,"usgs":true,"family":"Hornberger","given":"G.Z.","email":"","affiliations":[],"preferred":false,"id":195115,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":28209,"text":"wri004148 - 2000 - Hydrogeology, hydrologic budget, and water chemistry of the Medina Lake area, Texas","interactions":[],"lastModifiedDate":"2017-03-29T17:28:32","indexId":"wri004148","displayToPublicDate":"2001-06-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4148","title":"Hydrogeology, hydrologic budget, and water chemistry of the Medina Lake area, Texas","docAbstract":"<p>A three-phase study of the Medina Lake area in Texas was done to assess the hydrogeology and hydrology of Medina and Diversion Lakes combined (the lake system) and to determine what fraction of seepage losses from the lake system might enter the regional ground-water-flow system of the Edwards and (or) Trinity aquifers. Phase 1 consisted of revising the geologic framework for the Medina Lake area. Results of field mapping show that the upper member of the Glen Rose Limestone underlies Medina Lake and the intervening stream channel from the outflow of Medina Lake to the midpoint of Diversion Lake, where the Diversion Lake fault intersects Diversion Lake. A thin sequence of strata consisting primarily of the basal nodular and dolomitic members of the Kainer Formation of the Edwards Group, is present in the southern part of the study area. On the southern side of Medina Lake, the contact between the upper member of the Glen Rose Limestone and the basal nodular member is approximately 1,000 feet above mean sea level, and the contact between the basal nodular member and the dolomitic member is approximately 1,050 feet above mean sea level. The most porous and permeable part of the basal nodular member is about 1,045 feet above mean sea level. At these altitudes, Medina Lake is in hydrologic connection with rocks in the Edwards aquifer recharge zone, and Medina Lake appears to lose more water to the ground-water system along this bedding plane contact. </p><p>Hydrologic budgets calculated during phase 2 for Medina Lake, Diversion Lake, and Medina/Diversion Lakes combined indicate that: (1) losses from Medina and Diversion Lakes can be quantified; (2) a portion of those losses are entering the Edwards aquifer; and (3) losses to the Trinity aquifer in the Medina Lake area are minimal and within the error of the hydrologic budgets. </p><p>Hydrologic budgets based on streamflow, precipitation, evaporation, and change in lake storage were used to quantify losses (recharge) to the ground-water system from Medina Lake, Diversion Lake, and Medina/Diversion Lakes combined during October 1995–September 1996. Water losses from Medina Lake to the Edwards/Trinity aquifers ranged from -14.0 to 135 acre-feet per day; Diversion Lake ranged from -1.2 to 93.1 acre-feet per day; and Medina/Diversion Lakes combined ranged from 36.1 to 119 acre-feet per day.</p><p>Monthly average recharge during December 1995–July 1996 was estimated using an alternative method developed during this study (current study method) and compared to monthly average recharge during December 1995–July 1996 estimated using the existing USGS method and the Trans-Texas method. Recharge to the Edwards aquifer estimated using the current study method was about 69 and 73 percent of the recharge estimated using the USGS and Trans-Texas methods, respectively. The USGS and Trans-Texas methods overestimated recharge from Medina Lake compared to the recharge estimated with the current study method when Medina Lake stage was between about 1,027 and 1,032 feet above mean sea level and underestimated recharge from Medina Lake when lake stage was between about 1,036 and 1,045 feet above mean sea level. The USGS and Trans-Texas methods underestimated recharge from Diversion Lake compared to the&nbsp;recharge estimated with the current study method when Diversion Lake stage was greater than 913 feet above mean sea level and overestimated recharge from Diversion Lake when lake stage was less than 913 feet above mean sea level.</p><p>The water quality of Medina Lake and Medina River and in selected wells and springs in the Edwards and Trinity aquifers was characterized during phase 3 of the study. Environmental isotope analyses and geochemical modeling also were used to determine where water losses from the lake system might be entering the ground-water-flow system. Isotopic ratios of deuterium, oxygen, and strontium were analyzed in selected surface-water, lake-water, and ground-water samples to trace the isotopic “signature” of the lake water as it mixes with the ground water and to determine the fraction of lake water and ground water in selected Edwards aquifer wells. Isotopic data and geochemical modeling were used to show that lake water is moving into the Edwards aquifer in two fault blocks in the eastern Medina storage unit. One fault block is bounded on the north by the Vandenburg School fault and on the south by the Haby Crossing fault, and the second fault block is bounded on the north by the Diversion Lake fault and on the south by the Haby Crossing fault. In selected Edwards aquifer wells located southwest of Medina Lake and west of Diversion Lake, the proportion of lake water ranged from about 10 to 45 percent. Geochemical modeling using NETPATH confirms the degree of mixing between lake water and aquifer water shown by the isotopes.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri004148","collaboration":"In cooperation with the Bexar-Medina-Atascosa Counties Water Control and Improvement District No. 1, Bexar Metropolitan Water District, Texas Water Development Board, and Edwards Aquifer Authority","usgsCitation":"Lambert, R.B., Grimm, K.C., and Lee, R.W., 2000, Hydrogeology, hydrologic budget, and water chemistry of the Medina Lake area, Texas: U.S. Geological Survey Water-Resources Investigations Report 2000-4148, Report: v, 54 p.; 2 Plates: 30.00 x 25.00 inches and 25.00 x 25.50 inches, https://doi.org/10.3133/wri004148.","productDescription":"Report: v, 54 p.; 2 Plates: 30.00 x 25.00 inches and 25.00 x 25.50 inches","numberOfPages":"190","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":159580,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri004148.PNG"},{"id":328031,"rank":4,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/wri004148/pdf/wri00-4148.pdf","text":"Report","size":"9.16 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Report"},{"id":328032,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/wri/wri004148/pdf/00-4148_pl1.pdf","text":"Plate 1","size":"1.11 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 1"},{"id":328033,"rank":5,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/wri/wri004148/pdf/00-4148_pl2.pdf","text":"Plate 2","size":"1.57 MB","linkFileType":{"id":1,"text":"pdf"},"description":"Plate 2"},{"id":2328,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri004148/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":"Medina Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -99.05479431152344,\n              29.432421529604852\n            ],\n            [\n              -98.84536743164061,\n              29.432421529604852\n            ],\n            [\n              -98.84536743164061,\n              29.7375511168952\n            ],\n            [\n              -99.05479431152344,\n              29.7375511168952\n            ],\n            [\n              -99.05479431152344,\n              29.432421529604852\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1ae4b07f02db6a8639","contributors":{"authors":[{"text":"Lambert, Rebecca B. 0000-0002-0611-1591 blambert@usgs.gov","orcid":"https://orcid.org/0000-0002-0611-1591","contributorId":1135,"corporation":false,"usgs":true,"family":"Lambert","given":"Rebecca","email":"blambert@usgs.gov","middleInitial":"B.","affiliations":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"preferred":true,"id":199398,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Grimm, Kenneth C.","contributorId":29483,"corporation":false,"usgs":true,"family":"Grimm","given":"Kenneth","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":199399,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lee, Roger W.","contributorId":105273,"corporation":false,"usgs":true,"family":"Lee","given":"Roger","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":199400,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":28254,"text":"wri20004064 - 2000 - Regional equations for estimating mean annual and mean seasonal runoff for natural basins in Texas, base period 1961-90","interactions":[],"lastModifiedDate":"2016-08-25T09:40:58","indexId":"wri20004064","displayToPublicDate":"2001-06-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"2000-4064","title":"Regional equations for estimating mean annual and mean seasonal runoff for natural basins in Texas, base period 1961-90","docAbstract":"<p>Regional equations were developed for estimating mean annual and mean seasonal runoff for natural basins in Texas. The equations, which are based on the statistical relation between streamflow and basin characteristics, use streamflow data and basin characteristics from U.S. Geological Survey streamflow-gaging stations within natural basins and with a least 8 years of data during 1961-90. The State was divided into 11 hydrologic regions on the basis of previous studies. The final equations for estimating mean annual and mean seasonal runoff were developed from 228 streamflow-gaging stations. Contributing drainage area and mean annual or mean seasonal precipitation were determined to be the most significant basin characteristics in each region.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri20004064","collaboration":"Prepared in cooperation with the Texas Natural Resource Conservation Commission","usgsCitation":"Lanning-Rush, J., 2000, Regional equations for estimating mean annual and mean seasonal runoff for natural basins in Texas, base period 1961-90: U.S. Geological Survey Water-Resources Investigations Report 2000-4064, Report: iv, 27 p.; Plate: 24.00 x 26.00 inches, https://doi.org/10.3133/wri20004064.","productDescription":"Report: iv, 27 p.; Plate: 24.00 x 26.00 inches","onlineOnly":"N","additionalOnlineFiles":"Y","temporalStart":"1961-01-01","temporalEnd":"1990-12-31","costCenters":[{"id":583,"text":"Texas Water Science 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,{"id":27355,"text":"wri994290 - 2000 - Development of a stream habitat index for use with an Index of Biotic Integrity in the St. Croix River Basin, Minnesota","interactions":[],"lastModifiedDate":"2018-03-12T11:20:16","indexId":"wri994290","displayToPublicDate":"2001-06-01T00:00:00","publicationYear":"2000","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":342,"text":"Water-Resources Investigations Report","code":"WRI","active":false,"publicationSubtype":{"id":5}},"seriesNumber":"99-4290","title":"Development of a stream habitat index for use with an Index of Biotic Integrity in the St. Croix River Basin, Minnesota","docAbstract":"<p>More than 70 streams in the St. Croix River Basin in Minnesota were sampled for fish community composition and physical habitat during 1996&ndash;98. A habitat index was developed based on measurements, field observations, and land use. The objective was to develope a habitat index for use to evaluate water quality and the effects of nonpoint-source effects not associated with habitat degradation. Core habitat variables were determined with a concurrence analysis using principal components of two subsets of sites with pristine or least affected habitat. Although core habitat variables differed slightly between data sets, sufficient similarities allowed development of an index. The index (the sum of pluses or minuses dependent on the variable&rsquo;s correlation to biotic integrity), composed of 12 core habitat variables in 5 classification groups (hydrology, geomorphology, substrate, instream habitat, and riparian/land use), was able to distinguish sites with low Index of Biotic Integrity scores not related to habitat degradation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Mounds View, MN","doi":"10.3133/wri994290","collaboration":"Prepared in cooperation with the Minnesota Pollution Control Agency","usgsCitation":"Goldstein, R.M., Lorenz, D., and Niemela, S., 2000, Development of a stream habitat index for use with an Index of Biotic Integrity in the St. Croix River Basin, Minnesota: U.S. Geological Survey Water-Resources Investigations Report 99-4290, iv, 14 p., https://doi.org/10.3133/wri994290.","productDescription":"iv, 14 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":321051,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri994290.JPG"},{"id":12256,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://mn.water.usgs.gov/publications/pubs/99-4290.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Minnesota, Wisconsin","otherGeospatial":"St. Croix River Basin","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -93.109130859375, 45.334771196762766 ], [ -93.14208984375, 45.37916094640917 ], [ -93.1585693359375, 45.398449976304086 ], [ -93.16131591796875, 45.42544355958045 ], [ -93.17230224609375, 45.463983441272745 ], [ -93.16955566406249, 45.537136680398596 ], [ -93.13934326171875, 45.598665689820656 ], [ -93.12286376953124, 45.65052836822275 ], [ -93.1256103515625, 45.71193311776845 ], [ 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