{"pageNumber":"1215","pageRowStart":"30350","pageSize":"25","recordCount":40904,"records":[{"id":25774,"text":"wri994252 - 1999 - Sources and chronology of nitrate contamination in spring waters, Suwannee River basin, Florida","interactions":[],"lastModifiedDate":"2012-02-02T00:08:25","indexId":"wri994252","displayToPublicDate":"2001-05-01T00:00:00","publicationYear":"1999","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":"99-4252","title":"Sources and chronology of nitrate contamination in spring waters, Suwannee River basin, Florida","docAbstract":"A multi-tracer approach, which consisted of analyzing water samples for n aturally occurring chemical and isotopic indicators, was used to better understand sources and chronology of nitrate contamination in spring wate rs discharging to the Suwannee and Santa Fe Rivers in northern Florida. Dur ing 1997 and 1998, as part of a cooperative study between the Suwannee River Water Management District and the U.S. Geological Survey, water samples were collected and analyzed from 24 springs and two wells for major ions, nutrients, dissolved organic carbon, and selected environmental isotopes [18O/16O, D/H, 13C/12C, 15N/14N]. To better understand when nitrate entered the ground-water system, water samples were analyzed for chlorofluorocarbons (CFCs; CCl3F, CCl2F2, and C2Cl3F3) and tritium (3H); in this way, the apparent ages and residence times of spring waters and water from shallow zones in the Upper Floridan aquifer were determined. In addition to information obtained from the use of isotopic and other chemical tracers, information on changes in land-use activities in the basin during 1954-97 were used to estimate nitrogen inputs from nonpoint sources for five counties in the basin. Changes in nitrate concentrations in spring waters with time were compared with estimated nitrogen inputs for Lafayette and Suwannee Counties. Agricultural activities [cropland farming, animal farming operations (beef and dairy cows, poultry, and swine)] along with atmospheric deposition have contributed large quantities of nitrogen to ground water in the Suwannee River Basin in northern Florida. Changes in agricultural land use during the past 40 years in Alachua, Columbia, Gilchrist, Lafayette, and Suwannee Counties have contributed variable amounts of nitrogen to the ground-water system. During 1955-97, total estimated nitrogen from all nonpoint sources (fertilizers, animal wastes, atmospheric deposition, and septic tanks) increased continuously in Gilchrist and Lafayette Counties. In Suwannee, Alachua, and Columbia Counties, estimated nitrogen inputs from all nonpoint sources peaked in the late 1970's corresponding to the peak use in fertilizer during this time. Fertilizer use in Columbia, Gilchrist, Lafayette, and Suwannee Counties increased substantially during 1993-97. The heavy use of fertilizers in the basin is corroborated by nitrogen isotope data. Values of d15N of nitrate (d15N-NO3) in spring waters range from 2.7 per mil (SUW718971) to 10.6 per mil (Poe Spring) with a median of 5.4 per mil. The range of values indicates that nitrate in the sampled spring waters most likely originates from a mixture of inorganic (fertilizers) and organic (animal wastes) sources; however, higher d15N values for Poe and Lafayette Blue Springs indicate that an organic source of nitrogen probably is contributing nitrate to these spring waters. Water samples from two wells sampled in Lafayette County have high d15N-NO3 values of 11.0 and 12.1 per mil, indicating the predominance of an organic source of nitrate. These two wells are located near dairy and poultry farms, where leachate from animal wastes may contribute nitrate to ground water. Dissolved-gas data (nitrogen, argon, and oxygen) indicate that denitrification has not removed large amounts of nitrate from the ground-water system. Thus, variations in d15N-NO3 values of spring waters can be attributed to variations in d15N-NO3 values of ground-water recharge, and can be used to obtain information about source(s) of nitrate. Extending the use of age-dating techniques (CFCs and 3H) to spring waters in complex karst systems required the use of several different approaches for estimating age and residence time of ground water discharging to springs. These approaches included the use of a simple reservoir model, a piston-flow model, an exponential model, and a binary-mixing model. When age data (CFC-11, CFC-113, and 3H) are combined for all springs, models that incorporate exponential mixtures seem to provide re","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nBranch of Information Services [distributor],","doi":"10.3133/wri994252","usgsCitation":"Katz, B.G., Hornsby, H., Bohlke, J., and Mokray, M., 1999, Sources and chronology of nitrate contamination in spring waters, Suwannee River basin, Florida: U.S. Geological Survey Water-Resources Investigations Report 99-4252, iv, 54 p. :col. ill., col. map ;28 cm., https://doi.org/10.3133/wri994252.","productDescription":"iv, 54 p. :col. ill., col. map ;28 cm.","costCenters":[],"links":[{"id":1878,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri994252","linkFileType":{"id":5,"text":"html"}},{"id":157638,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e76f3","contributors":{"authors":[{"text":"Katz, Brian G. bkatz@usgs.gov","contributorId":1093,"corporation":false,"usgs":true,"family":"Katz","given":"Brian","email":"bkatz@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":195013,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hornsby, H.D.","contributorId":91139,"corporation":false,"usgs":true,"family":"Hornsby","given":"H.D.","email":"","affiliations":[],"preferred":false,"id":195016,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bohlke, J. K. 0000-0001-5693-6455","orcid":"https://orcid.org/0000-0001-5693-6455","contributorId":59481,"corporation":false,"usgs":true,"family":"Bohlke","given":"J. K.","affiliations":[],"preferred":false,"id":195015,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mokray, M.F.","contributorId":54246,"corporation":false,"usgs":true,"family":"Mokray","given":"M.F.","affiliations":[],"preferred":false,"id":195014,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":22016,"text":"ofr99522 - 1999 - A physically-based earthquake recurrence model for estimation of long-term earthquake probabilities","interactions":[],"lastModifiedDate":"2014-03-27T11:34:38","indexId":"ofr99522","displayToPublicDate":"2001-04-01T07:00:00","publicationYear":"1999","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":"99-522","title":"A physically-based earthquake recurrence model for estimation of long-term earthquake probabilities","docAbstract":"A physically-motivated model for earthquake recurrence based on the Brownian relaxation oscillator is introduced. The renewal process defining this point process model can be described by the steady rise of a state variable from the ground state to failure threshold as modulated by Brownian motion. Failure times in this model follow the Brownian passage time (BPT) distribution, which is specified by the mean time to failure, μ, and the aperiodicity of the mean, α (equivalent to the familiar coefficient of variation). Analysis of 37 series of recurrent earthquakes, M -0.7 to 9.2, suggests a provisional generic value of α = 0.5. For this value of α, the hazard function (instantaneous failure rate of survivors) exceeds the mean rate for times > μ⁄2, and is ~ ~ 2 ⁄ μ for all times > μ. Application of this model to the next M 6 earthquake on the San Andreas fault at Parkfield, California suggests that the annual probability of the earthquake is between 1:10 and 1:13.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr99522","issn":"0094-9140","usgsCitation":"Ellsworth, W.L., Matthews, M.V., Nadeau, R.M., Nishenko, S., Reasenberg, P.A., and Simpson, R.W., 1999, A physically-based earthquake recurrence model for estimation of long-term earthquake probabilities: U.S. Geological Survey Open-File Report 99-522, 22 p., https://doi.org/10.3133/ofr99522.","productDescription":"22 p.","costCenters":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":1188,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/1999/0522/","linkFileType":{"id":5,"text":"html"}},{"id":152992,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/1999/0522/report-thumb.jpg"},{"id":51484,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/1999/0522/pdf/of99-522.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -124.8,24.5 ], [ -124.8,49.383333 ], [ -66.95,49.383333 ], [ -66.95,24.5 ], [ -124.8,24.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1fe4b07f02db6ab7e3","contributors":{"authors":[{"text":"Ellsworth, William L. ellsworth@usgs.gov","contributorId":787,"corporation":false,"usgs":true,"family":"Ellsworth","given":"William","email":"ellsworth@usgs.gov","middleInitial":"L.","affiliations":[{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"preferred":true,"id":186690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Matthews, Mark V.","contributorId":81797,"corporation":false,"usgs":true,"family":"Matthews","given":"Mark","email":"","middleInitial":"V.","affiliations":[],"preferred":false,"id":186693,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nadeau, Robert M.","contributorId":102373,"corporation":false,"usgs":true,"family":"Nadeau","given":"Robert","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":186695,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Nishenko, Stuart P.","contributorId":82219,"corporation":false,"usgs":true,"family":"Nishenko","given":"Stuart P.","affiliations":[],"preferred":false,"id":186694,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Reasenberg, Paul A.","contributorId":35760,"corporation":false,"usgs":true,"family":"Reasenberg","given":"Paul","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":186692,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Simpson, Robert W. simpson@usgs.gov","contributorId":1053,"corporation":false,"usgs":true,"family":"Simpson","given":"Robert","email":"simpson@usgs.gov","middleInitial":"W.","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":186691,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":6946,"text":"fs07499 - 1999 - USGS Map-on-Demand Printing","interactions":[],"lastModifiedDate":"2012-03-16T17:16:06","indexId":"fs07499","displayToPublicDate":"2001-04-01T01:00:00","publicationYear":"1999","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":313,"text":"Fact Sheet","code":"FS","onlineIssn":"2327-6932","printIssn":"2327-6916","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"074-99","title":"USGS Map-on-Demand Printing","docAbstract":"Currently, the U.S. Geological Survey (USGS) uses conventional lithographic printing techniques to produce paper copies of most of its mapping products. This practice is not economical for those products that are in low demand. With the advent of newer technologies, high-speed, large-format printers have been coupled with innovative computer software to turn digital map data into a printed map. It is now possible to store and retrieve data from vast geospatial data bases and print a map on an as-needed basis; that is, print on demand, thereby eliminating the need to warehouse an inventory of paper maps for which there is low demand.  Using print-on-demand technology, the USGS is implementing map-on-demand (MOD) printing for certain infrequently requested maps. By providing MOD, the USGS can offer an alternative to traditional, large-volume printing and can improve its responsiveness to customers by giving them greater access to USGS scientific data in a format that otherwise might not be available.","language":"ENGLISH","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/fs07499","usgsCitation":"Water Resources Division, U.S. Geological Survey, 1999, USGS Map-on-Demand Printing: U.S. Geological Survey Fact Sheet 074-99, 1 p., https://doi.org/10.3133/fs07499.","productDescription":"1 p.","costCenters":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"links":[{"id":123998,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/fs/1999/0074/report-thumb.jpg"},{"id":34224,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/fs/1999/0074/report.pdf","linkFileType":{"id":1,"text":"pdf"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a48e4b07f02db623347","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":528802,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":25560,"text":"wri994070 - 1999 - Ground-water resources in Kaloko-Honokohau National Historical Park, Island of Hawaii, and numerical simulation of the effects of ground-water withdrawals","interactions":[],"lastModifiedDate":"2023-03-13T20:46:52.570508","indexId":"wri994070","displayToPublicDate":"2001-03-01T00:00:00","publicationYear":"1999","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":"99-4070","title":"Ground-water resources in Kaloko-Honokohau National Historical Park, Island of Hawaii, and numerical simulation of the effects of ground-water withdrawals","docAbstract":"Within the Kaloko-Honokohau National Historical Park, which was established in 1978, the ground-water flow system is composed of brackish water overlying saltwater. Ground-water levels measured in the Park range from about 1 to 2 feet above mean sea level, and fluctuate daily by about 0.5 to 1.5 feet in response to ocean tides. The brackish water is formed by mixing of seaward flowing fresh ground water with underlying saltwater from the ocean. The major source of fresh ground water is from subsurface flow originating from inland areas to the east of the Park. Ground-water recharge from the direct infiltration of precipitation within the Park area, which has land-surface altitudes less than 100 feet, is small because of low rainfall and high rates of evaporation. Brackish water flowing through the Park ultimately discharges to the fishponds in the Park or to the ocean. The ground water, fishponds, and anchialine ponds in the Park are hydrologically connected; thus, the water levels in the ponds mark the local position of the water table. \r\n\r\nWithin the Park, ground water near the water table is brackish; measured chloride concentrations of water samples from three exploratory wells in the Park range from 2,610 to 5,910 milligrams per liter. Chromium and copper were detected in water samples from the three wells in the Park and one well upgradient of the Park at concentrations of 1 to 5 micrograms per liter. One semi-volatile organic compound, phenol, was detected in water samples from the three wells in the Park at concentrations between 4 and 10 micrograms per liter. \r\n\r\nA regional, two-dimensional (areal), freshwater-saltwater, sharp-interface ground-water flow model was used to simulate the effects of regional withdrawals on ground-water flow within the Park. For average 1978 withdrawal rates, the estimated rate of fresh ground-water discharge to the ocean within the Park is about 6.48 million gallons per day, or about 3 million gallons per day per mile of coastline. Although the coastal discharge within the Park is actually brackish water, the model assumes that freshwater and saltwater do not mix and therefore the model-calculated coastal discharge within the Park is in the form of freshwater discharge.\r\n\r\nModel results indicate that ground-water withdrawals in excess of average 1978 withdrawal rates will reduce the rate of freshwater coastal discharge within the Park. Withdrawals from wells directly upgradient of the Park had the greatest effect on the model-calculated freshwater coastal discharge within the Park, whereas withdrawals from wells south of Papa Bay had little effect on the freshwater discharge within the Park. For an increased ground-water withdrawal rate of 56.8 million gallons per day, relative to average 1978 withdrawal rates in the Kona area, model-calculated freshwater coastal discharge within the Park was reduced by about 47 percent.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri994070","usgsCitation":"Oki, D.S., Tribble, G.W., Souza, W.R., and Bolke, E.L., 1999, Ground-water resources in Kaloko-Honokohau National Historical Park, Island of Hawaii, and numerical simulation of the effects of ground-water withdrawals: U.S. Geological Survey Water-Resources Investigations Report 99-4070, vi, 49 p., https://doi.org/10.3133/wri994070.","productDescription":"vi, 49 p.","costCenters":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"links":[{"id":157732,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1999/4070/report-thumb.jpg"},{"id":95537,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4070/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":414047,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_23011.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Hawaii","otherGeospatial":"Kaloko-Honokohau National Historical Park","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -156.05,\n              19.7\n            ],\n            [\n              -156.05,\n              19.667\n            ],\n            [\n              -156.017,\n              19.667\n            ],\n            [\n              -156.017,\n              19.7\n            ],\n            [\n              -156.05,\n              19.7\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b01e4b07f02db6986e2","contributors":{"authors":[{"text":"Oki, Delwyn S. 0000-0002-6913-8804 dsoki@usgs.gov","orcid":"https://orcid.org/0000-0002-6913-8804","contributorId":1901,"corporation":false,"usgs":true,"family":"Oki","given":"Delwyn","email":"dsoki@usgs.gov","middleInitial":"S.","affiliations":[{"id":525,"text":"Pacific Islands Water Science Center","active":true,"usgs":true}],"preferred":true,"id":194194,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Tribble, Gordon W. gtribble@usgs.gov","contributorId":2643,"corporation":false,"usgs":true,"family":"Tribble","given":"Gordon","email":"gtribble@usgs.gov","middleInitial":"W.","affiliations":[],"preferred":true,"id":194195,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Souza, William R.","contributorId":90295,"corporation":false,"usgs":true,"family":"Souza","given":"William","email":"","middleInitial":"R.","affiliations":[],"preferred":false,"id":194197,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Bolke, Edward L.","contributorId":44957,"corporation":false,"usgs":true,"family":"Bolke","given":"Edward","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":194196,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":28814,"text":"wri994058 - 1999 - Simulated effects of projected ground-water withdrawals in the Floridan aquifer system, greater Orlando metropolitan area, east-central Florida","interactions":[],"lastModifiedDate":"2012-02-02T00:08:46","indexId":"wri994058","displayToPublicDate":"2001-03-01T00:00:00","publicationYear":"1999","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":"99-4058","title":"Simulated effects of projected ground-water withdrawals in the Floridan aquifer system, greater Orlando metropolitan area, east-central Florida","docAbstract":"Ground-water levels in the Floridan aquifer system within the greater Orlando metropolitan area are expected to decline because of a projected increase in the average pumpage rate from 410 million gallons per day in 1995 to 576 million gallons per day in 2020. The potential decline in ground-water levels and spring discharge within the area was investigated with a calibrated, steady-state, ground-water flow model. A wetter-than-average condition scenario and a drought-condition scenario were simulated to bracket the range of water-levels and springflow that may occur in 2020 under average rainfall conditions. Pumpage used to represent the drought-condition scenario totaled 865 million gallons per day, about 50 percent greater than the projected average pumpage rate in 2020. Relative to average 1995 steady-state conditions, drawdowns simulated in the Upper Floridan aquifer exceeded 10 and 25 feet for wet and dry conditions, respectively, in parts of central and southwest Orange County and in north Osceola County. In Seminole County, drawdowns of up to 20 feet were simulated for dry conditions, compared with 5 to 10 feet simulated for wet conditions. Computed springflow was reduced by 10 percent for wet conditions and by 38 percent for dry conditions, with the largest reductions (28 and 76 percent) occurring at the Sanlando Springs group. In the Lower Floridan aquifer, drawdowns simulated in southwest Orange County exceeded 20 and 40 feet for wet and dry conditions, respectively. ","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nBranch of Information Services [distributor],","doi":"10.3133/wri994058","usgsCitation":"Murray, L.C., and Halford, K.J., 1999, Simulated effects of projected ground-water withdrawals in the Floridan aquifer system, greater Orlando metropolitan area, east-central Florida: U.S. Geological Survey Water-Resources Investigations Report 99-4058, iv, 26 p. :ill., maps ;28 cm., https://doi.org/10.3133/wri994058.","productDescription":"iv, 26 p. :ill., maps ;28 cm.","costCenters":[],"links":[{"id":95726,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4058/report.pdf","size":"2969","linkFileType":{"id":1,"text":"pdf"}},{"id":2324,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://fl.water.usgs.gov/Abstracts/wri99_4058_murray.html","linkFileType":{"id":5,"text":"html"}},{"id":159187,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1999/4058/report-thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b00e4b07f02db69831f","contributors":{"authors":[{"text":"Murray, Louis C. Jr.","contributorId":19980,"corporation":false,"usgs":true,"family":"Murray","given":"Louis","suffix":"Jr.","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":200441,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Halford, Keith J. 0000-0002-7322-1846 khalford@usgs.gov","orcid":"https://orcid.org/0000-0002-7322-1846","contributorId":1374,"corporation":false,"usgs":true,"family":"Halford","given":"Keith","email":"khalford@usgs.gov","middleInitial":"J.","affiliations":[{"id":465,"text":"Nevada Water Science Center","active":true,"usgs":true}],"preferred":true,"id":200440,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":28387,"text":"wri994076 - 1999 - Hydrogeologic framework and sampling design for an assessment of agricultural pesticides in ground water in Pennsylvania","interactions":[],"lastModifiedDate":"2018-02-12T09:43:46","indexId":"wri994076","displayToPublicDate":"2001-03-01T00:00:00","publicationYear":"1999","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":"99-4076","title":"Hydrogeologic framework and sampling design for an assessment of agricultural pesticides in ground water in Pennsylvania","docAbstract":"<p>State agencies responsible for regulating pesticides are required by the U.S. Environmental Protection Agency to develop state management plans for specific pesticides. A key part of these management plans includes assessing the potential for contamination of ground water by pesticides throughout the state. As an example of how a statewide assessment could be implemented, a plan is presented for the Commonwealth of Pennsylvania to illustrate how a hydrogeologic framework can be used as a basis for sampling areas within a state with the highest likelihood of having elevated pesticide concentrations in ground water. The framework was created by subdividing the state into 20 areas on the basis of physiography and aquifer type. Each of these 20 hydrogeologic settings is relatively homogeneous with respect to aquifer susceptibility and pesticide use—factors that would be likely to affect pesticide concentrations in ground water. Existing data on atrazine occurrence in ground water was analyzed to determine (1) which areas of the state already have sufficient samples collected to make statistical comparisons among hydrogeologic settings, and (2) the effect of factors such as land use and aquifer characteristics on pesticide occurrence. The theoretical vulnerability and the results of the data analysis were used to rank each of the 20 hydrogeologic settings on the basis of vulnerability of ground water to contamination by pesticides. Example sampling plans are presented for nine of the hydrogeologic settings that lack sufficient data to assess vulnerability to contamination. Of the highest priority areas of the state, two out of four have been adequately sampled, one of the three areas of moderate to high priority has been adequately sampled, four of the nine areas of moderate to low priority have been adequately sampled, and none of the three low priority areas have been sampled.</p><p>Sampling to date has shown that, even in the most vulnerable hydrogeologic settings, pesticide concentrations in ground water rarely exceed U.S. Environmental Protection Agency Drinking Water Standards or Health Advisory Levels. Analyses of samples from 1,159 private water supplies reveal only 3 sites for which samples with concentrations of pesticides exceeded drinking-water standards. In most cases, samples with elevated concentrations could be traced to point sources at pesticide loading or mixing areas. These analyses included data from some of the most vulnerable areas of the state, indicating that it is highly unlikely that pesticide concentrations in water from wells in other areas of the state would exceed the drinking-water standards unless a point source of contamination were present. Analysis of existing data showed that water from wells in areas of the state underlain by carbonate (limestone and dolomite) bedrock, which commonly have a high percentage of corn production, was much more likely to have pesticides detected. Application of pesticides to the land surface generally has not caused concentrations of the five state priority pesticides in ground water to exceed health standards; however, this study has not evaluated the potential human health effects of mixtures of pesticides or pesticide degradation products in drinking water. This study also has not determined whether concentrations in ground water are stable, increasing, or decreasing.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri994076","collaboration":"Prepared in cooperation with the Pennsylvania Department of Agriculture","usgsCitation":"Lindsey, B., and Bickford, T.M., 1999, Hydrogeologic framework and sampling design for an assessment of agricultural pesticides in ground water in Pennsylvania: U.S. Geological Survey Water-Resources Investigations Report 99-4076, v, 44 p., https://doi.org/10.3133/wri994076.","productDescription":"v, 44 p.","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":125175,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1999/4076/coverthb.jpg"},{"id":2280,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4076/wri19994076.pdf","text":"Report","size":"3.75 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 1999-4076"}],"contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>,&nbsp;<a href=\"https://pa.water.usgs.gov/\" data-mce-href=\"https://pa.water.usgs.gov/\">Pennsylvania Water Science Center</a><br> U.S. Geological Survey<br> Pennsylvania Water Science Center<br> 215 Limekiln Road<br> New Cumberland, PA 17070</p><p>&nbsp;</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Hydrogeologic framework for pesticide analysis</li><li>Prioritization of areas for sampling</li><li>Sampling plan</li><li>Summary</li><li>References cited</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a4ee4b07f02db627a4e","contributors":{"authors":[{"text":"Lindsey, Bruce D. 0000-0002-7180-4319 blindsey@usgs.gov","orcid":"https://orcid.org/0000-0002-7180-4319","contributorId":434,"corporation":false,"usgs":true,"family":"Lindsey","given":"Bruce D.","email":"blindsey@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":199711,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Bickford, Tammy M.","contributorId":16048,"corporation":false,"usgs":true,"family":"Bickford","given":"Tammy","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":199712,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":28472,"text":"wri994104 - 1999 - Hydrogeology, water use, and simulation of flow in the High Plains aquifer in northwestern Oklahoma, southeastern Colorado, southwestern Kansas, northeastern New Mexico, and northwestern Texas","interactions":[],"lastModifiedDate":"2012-02-02T00:08:47","indexId":"wri994104","displayToPublicDate":"2001-03-01T00:00:00","publicationYear":"1999","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":"99-4104","title":"Hydrogeology, water use, and simulation of flow in the High Plains aquifer in northwestern Oklahoma, southeastern Colorado, southwestern Kansas, northeastern New Mexico, and northwestern Texas","docAbstract":"The U.S. Geological Survey, in cooperation with the Oklahoma Water Resources Board, began a three-year study of the High Plains aquifer in northwestern Oklahoma in 1996. The primary purpose of this study was to develop a ground-water flow model to provide the Water Board with the information it needs to manage the quantity of water withdrawn from the aquifer. The study area consists of about 7,100 square miles in Oklahoma and about 20,800 square miles in adjacent states to provide appropriate hydrologic boundaries for the flow model.\r\n\r\nThe High Plains aquifer includes all sediments from the base of the Ogallala Formation to the potentiometric surface. The saturated thickness in Oklahoma ranges from more than 400 feet to less than 50 feet. Natural recharge to the aquifer from precipitation occurs throughout the area but is extremely variable. Dryland agricultural practices appear to enhance recharge from precipitation, and part of the water pumped for irrigation also recharges the aquifer. Natural discharge occurs as discharge to streams, evapotranspiration where the depth to water is shallow, and diffuse ground-water flow across the eastern boundary. Artificial discharge occurs as discharge to wells.\r\n\r\nIrrigation accounted for 96 percent of all use of water from the High Plains aquifer in the Oklahoma portion of the study area in 1992 and 93 percent in 1997. Total estimated water use in 1992 for the Oklahoma portion of the study area was 396,000 acre-feet and was about 3.2 million acre-feet for the entire study area.\r\n\r\nSince development of the aquifer, water levels have declined more than 100 feet in small areas of Texas County, Oklahoma, and more than 50 feet in areas of Cimarron County. Only a small area of Beaver County had declines of more than 10 feet, and Ellis County had rises of more than 10 feet.\r\n\r\nA flow model constructed using the MODFLOW computer code had 21,073 active cells in one layer and had a 6,000- foot grid in both the north-south and east-west directions. The model was used to simulate the period before major development of the aquifer and the period of development. The model was calibrated using observed conditions available as of 1998.\r\n\r\nThe predevelopment-period model integrated data or estimates on the base of aquifer, hydraulic conductivity, streambed and drain conductances, and recharge from precipitation to calculate the predevelopment altitude of the water table, discharge to the rivers and streams, and other discharges. Hydraulic conductivity, recharge, and streambed conductance were varied during calibration so that the model produced a reasonable representation of the observed water table altitude and the estimated discharge to streams. Hydraulic conductivity was reduced in the area of salt dissolution in underlying Permianage rocks. Recharge from precipitation was estimated to be 4.0 percent of precipitation in greater recharge zones and 0.37 percent in lesser recharge zones. Within Oklahoma, the mean difference between water levels simulated by the model and measured water levels at 86 observation points is -2.8 feet, the mean absolute difference is 44.1 feet, and the root mean square difference is 52.0 feet. The simulated discharge is much larger than the estimated discharge for the Beaver River, is somewhat larger for Cimarron River and Wolf Creek, and is about the same for Crooked Creek.\r\n\r\nThe development-period model added specific yield, pumpage, and recharge due to irrigation and dryland cultivation to simulate the period 1946 through 1997. During calibration, estimated specific yield was reduced by 15 percent in Oklahoma east of the Cimarron-Texas County line. Simulated recharge due to irrigation ranges from 24 percent for the 1940s and 1950s to 2 percent for the 1990s. Estimated recharge due to dryland cultivation is about 3.9 percent of precipitation. The mean difference between the simulated and observed waterlevel changes from predevelopment to 1998 at 162 observation points in","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nInformation Services [distributor],","doi":"10.3133/wri994104","usgsCitation":"Luckey, R., and Becker, M.F., 1999, Hydrogeology, water use, and simulation of flow in the High Plains aquifer in northwestern Oklahoma, southeastern Colorado, southwestern Kansas, northeastern New Mexico, and northwestern Texas: U.S. Geological Survey Water-Resources Investigations Report 99-4104, v, 68 p. :ill., maps (some col.) ;28 cm., https://doi.org/10.3133/wri994104.","productDescription":"v, 68 p. :ill., maps (some col.) ;28 cm.","costCenters":[],"links":[{"id":159130,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":2315,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri994104/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a2de4b07f02db61476d","contributors":{"authors":[{"text":"Luckey, Richard L.","contributorId":82359,"corporation":false,"usgs":true,"family":"Luckey","given":"Richard L.","affiliations":[],"preferred":false,"id":199862,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Becker, Mark F.","contributorId":40180,"corporation":false,"usgs":true,"family":"Becker","given":"Mark","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":199861,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":28743,"text":"wri984071 - 1999 - Simulation of ground-water flow and pumpage in Kings and Queens Counties, Long Island, New York","interactions":[],"lastModifiedDate":"2017-03-23T16:13:20","indexId":"wri984071","displayToPublicDate":"2001-03-01T00:00:00","publicationYear":"1999","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":"98-4071","title":"Simulation of ground-water flow and pumpage in Kings and Queens Counties, Long Island, New York","docAbstract":"<p>The potential effects of using ground water as a supplemental source of supply in Kings and Queens Counties were evaluated through a 4-layer finite-difference ground-water-flow model with a uniform grid spacing of 1,333 feet. Hydraulic properties and boundary conditions of an existing regional ground-water-flow model of Long Island with a uniform grid spacing of 4,000 feet were refined for use in the finer grid model of Kings and Queens Counties. The model is calibrated to average pumping stresses that correspond to presumed steady-state conditions of 1983 and 1991. A transient-state simulation of the year-by- year transition between these two conditions was also conducted.</p><p>Pumping scenarios representing public-supply withdrawals of 100, 150, and 400 million gallons per day (Mgal/d) were simulated to determine the duration of sustainable pumpage, defined as the length of time before a particular pumping rate induces landward hydraulic gradients from areas of salty ground water. The simulations indicate the following hydrologically feasible scenarios:</p><p>(1) Pumpage of 100 Mgal/d could be sustained for about 10 months, followed by a 46-month period of pumping at reduced (1991) rates, to allow water levels to recover to 90 percent of 1991 levels.</p><p>(2) Pumpage of 150 Mgal/d could be sustained for about 6 months, followed by a 79-month period of pumping at a reduced (1991) rate.</p><p>(3) Pumpage of 400 Mgal/d could be sustained for about 3 months from an initial condition of maximum aquifer storage.</p><p>Each of these scenarios could be modified by injecting surplus water from upstate reservoirs, available from January to May, into the proposed wells. Injection at half the pumpage rate during the recovery period reduces the recovery period to 14 months in scenario 1, 6 months in scenario 2, and 9 months in scenario 3.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":" Reston, VA","doi":"10.3133/wri984071","collaboration":" Prepared in cooperation with the New York City Department of Environmental Protection","usgsCitation":"Misut, P.E., and Monti, J., 1999, Simulation of ground-water flow and pumpage in Kings and Queens Counties, Long Island, New York: U.S. Geological Survey Water-Resources Investigations Report 98-4071, v, 50 p., https://doi.org/10.3133/wri984071.","productDescription":"v, 50 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":159413,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1998/4071/coverthb.jpg"},{"id":2303,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1998/4071/wri19984071.pdf","text":"Report","size":"2.48 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 1998-4071"}],"country":"United States","state":"New York","county":"Kings County, Queens County","otherGeospatial":"Long Island","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"MultiPolygon\",\"coordinates\":[[[[-73.855,40.6511],[-73.8571,40.644],[-73.8666,40.6398],[-73.8723,40.6448],[-73.8691,40.6389],[-73.8828,40.6286],[-73.9015,40.6247],[-73.914,40.6307],[-73.8913,40.6142],[-73.8945,40.6069],[-73.9075,40.6052],[-73.9056,40.6023],[-73.8822,40.6019],[-73.8764,40.5853],[-73.8814,40.5789],[-73.8942,40.5767],[-73.9014,40.5856],[-73.9117,40.5811],[-73.9459,40.5829],[-73.9314,40.5772],[-73.9519,40.5738],[-74.0111,40.5739],[-74.0073,40.5808],[-73.992,40.5794],[-74.012,40.6012],[-74.0321,40.6058],[-74.0418,40.6243],[-74.0345,40.6439],[-74.005,40.6653],[-74.0161,40.6644],[-74.0183,40.6808],[-73.9958,40.7039],[-73.9808,40.7061],[-73.9746,40.7021],[-73.97,40.7072],[-73.9611,40.7417],[-73.936,40.7698],[-73.9354,40.7779],[-73.9272,40.7778],[-73.9094,40.7911],[-73.8941,40.7845],[-73.8889,40.7741],[-73.875,40.7819],[-73.8728,40.785],[-73.8908,40.79],[-73.8892,40.7989],[-73.8683,40.7881],[-73.8699,40.7798],[-73.8554,40.7714],[-73.8611,40.7654],[-73.8471,40.7611],[-73.8434,40.7643],[-73.8504,40.7701],[-73.8508,40.7819],[-73.8576,40.7836],[-73.8522,40.7949],[-73.8407,40.797],[-73.8319,40.7889],[-73.8193,40.8009],[-73.7947,40.795],[-73.7943,40.7903],[-73.7825,40.7907],[-73.7782,40.7969],[-73.7581,40.7677],[-73.7492,40.7817],[-73.7057,40.7499],[-73.7042,40.7358],[-73.7288,40.7239],[-73.7251,40.6517],[-73.741,40.6469],[-73.7442,40.6375],[-73.7656,40.6289],[-73.7714,40.62],[-73.7788,40.6267],[-73.7906,40.6078],[-73.8003,40.6117],[-73.7858,40.6314],[-73.8196,40.6465],[-73.8228,40.6583],[-73.8263,40.649],[-73.8392,40.645],[-73.848,40.6442],[-73.855,40.6511]]],[[[-73.8653,40.6275],[-73.8656,40.6206],[-73.8781,40.6158],[-73.8772,40.6219],[-73.8653,40.6275]]],[[[-74.0144,40.6931],[-74.0122,40.6889],[-74.0256,40.6847],[-74.0144,40.6931]]],[[[-73.7656,40.6142],[-73.7455,40.6121],[-73.7374,40.594],[-73.8211,40.5822],[-73.941,40.5422],[-73.94,40.5539],[-73.9258,40.5618],[-73.8766,40.5698],[-73.8522,40.5814],[-73.8197,40.5872],[-73.7886,40.6031],[-73.7909,40.5964],[-73.7803,40.6089],[-73.7739,40.6058],[-73.7822,40.5981],[-73.7736,40.5986],[-73.769,40.6089],[-73.7725,40.6106],[-73.7656,40.6142]]],[[[-73.8225,40.6367],[-73.8111,40.599],[-73.815,40.6046],[-73.8206,40.5944],[-73.8342,40.595],[-73.8339,40.5886],[-73.8375,40.5894],[-73.8439,40.5931],[-73.8259,40.5999],[-73.82,40.6092],[-73.8378,40.6156],[-73.8336,40.6372],[-73.8261,40.6361],[-73.825,40.6403],[-73.8225,40.6367]]],[[[-73.7994,40.6261],[-73.8035,40.6157],[-73.8068,40.6216],[-73.7994,40.6261]]],[[[-73.7994,40.61],[-73.795,40.605],[-73.8028,40.6039],[-73.7994,40.61]]],[[[-73.8408,40.6124],[-73.8417,40.6041],[-73.8487,40.6055],[-73.8463,40.6124],[-73.8408,40.6124]]],[[[-73.8586,40.6025],[-73.8522,40.5972],[-73.86,40.596],[-73.8586,40.6025]]]]},\"properties\":{\"name\":\"Kings\",\"state\":\"NY\"}}]}","contact":"<p>Director, New York Water Science Center<br> U.S. Geological Survey<br>425 Jordan Rd<br> Troy, NY 12180<br> (518) 285-5695 <br> <a href=\"http://ny.water.usgs.gov/\" data-mce-href=\"http://ny.water.usgs.gov/\">http://ny.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Hydrogeology</li><li>Simulation of ground-water flow</li><li>Simulations of proposed pumping scenarios</li><li>Summary</li><li>References cited</li><li>Appendix A: Locations and pumping rates of wells used in the Kings-Queens model</li><li>Appendix B: Difference between simulated and measured water levels at selected wells</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7ee4b07f02db648579","contributors":{"authors":[{"text":"Misut, Paul E. 0000-0002-6502-5255 pemisut@usgs.gov","orcid":"https://orcid.org/0000-0002-6502-5255","contributorId":1073,"corporation":false,"usgs":true,"family":"Misut","given":"Paul","email":"pemisut@usgs.gov","middleInitial":"E.","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":true,"id":200324,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Monti, Jack Jr. jmonti@usgs.gov","contributorId":1185,"corporation":false,"usgs":true,"family":"Monti","given":"Jack","suffix":"Jr.","email":"jmonti@usgs.gov","affiliations":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"preferred":false,"id":200325,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":29251,"text":"wri994087 - 1999 - Characterization and simulation of the quantity and quality of water in the Highland Lakes, Texas, 1983-92","interactions":[],"lastModifiedDate":"2016-08-17T13:00:25","indexId":"wri994087","displayToPublicDate":"2001-03-01T00:00:00","publicationYear":"1999","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":"99-4087","title":"Characterization and simulation of the quantity and quality of water in the Highland Lakes, Texas, 1983-92","docAbstract":"<p>The Highland Lakes, located in central Texas, are a series of seven reservoirs on the Colorado River (Lake Buchanan, Inks Lake, Lake Lyndon B. Johnson, Lake Marble Falls, Lake Travis, Lake Austin, and Town Lake). The reservoirs provide hydroelectric power for the area. In addition, Lake Austin and Town Lake also provide the public water supply for the Austin metropolitan area. Saline water released from Natural Dam Salt Lake during 1987&ndash;89 caused increased concern among water managers that high-salinity water entering the Highland Lakes could result in waterquality problems, necessitating additional treatment of the water.</p>\n<p>The maximum dissolved solids concentrations for the reservoirs after the saline inflow were about two to three times the average concentrations before the inflow. The maximum concentrations of chloride and sulfate after the inflow were about three to five times the average concentrations before the inflow. The concentrations of dissolved solids, chloride, and sulfate in Lake Buchanan, Inks Lake, Lake Lyndon B. Johnson, and Lake Marble Falls were less than the concentrations of the applicable water-quality standards by the end of 1990. Concentrations of these constituents in Lake Travis, Lake Austin, and Town Lake did not decrease to previous levels, which were less than the concentrations of the applicable waterquality standards, until the end of 1991. Constituent concentrations for Lake Buchanan and Inks Lake; for Lake Lyndon B. Johnson and Lake Marble Falls; and for Lake Travis, Lake Austin, and Town Lake were similar because of the relative storage capacities and location of tributary inflows. From the initial increase in constituent concentrations in Lake Buchanan (summer 1987) in response to the saline inflow, the high-salinity water passed through the entire Highland Lakes in about 3.5 years.</p>\n<p>A mathematical mass-balance model was used to simulate the input and movement of highsalinity water through the Highland Lakes and to estimate monthly mean concentrations of dissolved solids, chloride, and sulfate for wet, average, and dry hydrologic conditions. The simulated median monthly concentrations during the 10-year simulation period for each reservoir generally are larger for the average condition than for the wet condition and generally are larger for the dry condition than for the average condition. The simulated concentrations of dissolved solids, chloride, and sulfate decreased to levels less than the concentrations of the applicable water-quality standards in about 2 to 5 years after the saline water inflow of 1987&ndash;89 was simulated for the three hydrologic conditions.</p>\n<p>Results from the simulations indicate that saline inflows to the Highland Lakes similar to those of the releases from Natural Dam Salt Lake during 1987&ndash;89 are unlikely to cause large increases in future concentrations of dissolved solids, chloride, and sulfate in the Highland Lakes. The results also indicate that high-salinity water will continue to be diluted as it is transported downstream through the Highland Lakes, even during extended dry periods.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Austin, TX","doi":"10.3133/wri994087","collaboration":"Prepared in cooperation with the Lower Colorado River Authority and the City of Austin","usgsCitation":"Raines, T.H., and Rast, W., 1999, Characterization and simulation of the quantity and quality of water in the Highland Lakes, Texas, 1983-92: U.S. Geological Survey Water-Resources Investigations Report 99-4087, iv, 46 p., https://doi.org/10.3133/wri994087.","productDescription":"iv, 46 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":583,"text":"Texas Water Science Center","active":true,"usgs":true}],"links":[{"id":326682,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri994087.JPG"},{"id":2246,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri99-4087/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Texas","otherGeospatial":"Highland Lakes","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49c2e4b07f02db5d410e","contributors":{"authors":[{"text":"Raines, Timothy H. thraines@usgs.gov","contributorId":3862,"corporation":false,"usgs":true,"family":"Raines","given":"Timothy","email":"thraines@usgs.gov","middleInitial":"H.","affiliations":[],"preferred":true,"id":201223,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rast, Walter","contributorId":79514,"corporation":false,"usgs":true,"family":"Rast","given":"Walter","affiliations":[],"preferred":false,"id":201224,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":29662,"text":"wri994228 - 1999 - Ground-water system, estimation of aquifer hydraulic properties, and effects of pumping on ground-water flow in Triassic sedimentary rocks in and near Lansdale, Pennsylvania","interactions":[],"lastModifiedDate":"2019-06-06T08:55:22","indexId":"wri994228","displayToPublicDate":"2001-03-01T00:00:00","publicationYear":"1999","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":"99-4228","displayTitle":"Ground-Water System, Estimation of Aquifer Hydraulic Properties, and Effects of Pumping on Ground-Water Flow in Triassic Sedimentary Rocks in and near Lansdale, Pennsylvania","title":"Ground-water system, estimation of aquifer hydraulic properties, and effects of pumping on ground-water flow in Triassic sedimentary rocks in and near Lansdale, Pennsylvania","docAbstract":"<p>Ground water in Triassic-age sedimentary fractured-rock aquifers in the area of Lansdale, Pa., is used as drinking water and for industrial supply. In 1979, ground water in the Lansdale area was found to be contaminated with trichloroethylene, tetrachloroethylene, and other man-made organic compounds, and in 1989, the area was placed on the U.S. Environmental Protection Agency's (USEPA) National Priority List as the North Penn Area 6 site. To assist the USEPA in the hydrogeological assessment of the site, the U.S. Geological Survey began a study in 1995 to describe the ground-water system and to determine the effects of changes in the well pumping patterns on the direction of ground-water flow in the Lansdale area. This determination is based on hydrologic and geophysical data collected from 1995-98 and on results of the simulation of the regional ground-water-flow system by use of a numerical model.</p><p>Correlation of natural-gamma logs indicate that the sedimentary rock beds strike generally northeast and dip at angles less than 30 degrees to the northwest. The ground-water system is confined or semi-confined, even at shallow depths; depth to bedrock commonly is less than 20 feet (6 meters); and depth to water commonly is about 15 to 60 feet (5 to 18 meters) below land surface. Single-well, aquifer-interval-isolation (packer) tests indicate that vertical permeability of the sedimentary rocks is low. Multiple-well aquifer tests indicate that the system is heterogeneous and that flow appears primarily in discrete zones parallel to bedding. Preferred horizontal flow along strike was not observed in the aquifer tests for wells open to the pumped interval. Water levels in wells that are open to the pumped interval, as projected along the dipping stratigraphy, are drawn down more than water levels in wells that do not intersect the pumped interval. A regional potentiometric map based on measured water levels indicates that ground water flows from Lansdale towards discharge areas in three drainages, the Wissahickon, Towamencin, and Neshaminy Creeks.</p><p>Ground-water flow was simulated for different pumping patterns representing past and current conditions. The three-dimensional numerical flow model (MODFLOW) was automatically calibrated by use of a parameter estimation program (MODFLOWP). Steady-state conditions were assumed for the calibration period of 1996. Model calibration indicates that estimated recharge is 8.2 inches (208 millimeters) and the regional anisotropy ratio for the sedimentary-rock aquifer is about 11 to 1, with permeability greatest along strike. The regional anisotropy is caused by up- and down-dip termination of high-permeability bed-oriented features, which were not explicitly simulated in the regional-scale model. The calibrated flow model was used to compare flow directions and capture zones in Lansdale for conditions corresponding to relatively high pumping rates in 1994 and to lower pumping rates in 1997. Comparison of the 1994 and 1997 simulations indicates that wells pumped at the lower 1997 rates captured less ground water from known sites of contamination than wells pumped at the 1994 rates. Ground-water flow rates away from Lansdale increased as pumpage decreased in 1997.</p><p>A preliminary evaluation of the relation between ground-water chemistry and conditions favorable for the degradation of chlorinated solvents was based on measurements of dissolved-oxygen concentration and other chemical constituents in water samples from 92 wells. About 18 percent of the samples contained less than or equal to 5 milligrams per liter dissolved oxygen, a concentration that indicates reducing conditions favorable for degradation of chlorinated solvents.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri994228","collaboration":"Prepared in cooperation with the U.S. Environmental Protection Agency","usgsCitation":"Senior, L.A., and Goode, D., 1999, Ground-water system, estimation of aquifer hydraulic properties, and effects of pumping on ground-water flow in Triassic sedimentary rocks in and near Lansdale, Pennsylvania: U.S. Geological Survey Water-Resources Investigations Report 99-4228, viii, 112 p. :], https://doi.org/10.3133/wri994228.","productDescription":"viii, 112 p. :]","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":159845,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1999/4228/coverthb.jpg"},{"id":2429,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4228/wri19994228.pdf","text":"Report","size":"4.76 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 1999-4228"}],"scale":"24000","contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/pa-water\" data-mce-href=\"https://www.usgs.gov/centers/pa-water\">Pennsylvania Water Science Center</a><br>U.S. Geological Survey<br>215 Limekiln Road<br>New Cumberland, PA 17070</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Geologic setting</li><li>Ground-water system</li><li>Estimation of aquifer hydraulic properties</li><li>Effect of pumping on ground-water flow</li><li>Summary and conclusions</li><li>References cited</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a96e4b07f02db65a388","contributors":{"authors":[{"text":"Senior, Lisa A. 0000-0003-2629-1996 lasenior@usgs.gov","orcid":"https://orcid.org/0000-0003-2629-1996","contributorId":2150,"corporation":false,"usgs":true,"family":"Senior","given":"Lisa","email":"lasenior@usgs.gov","middleInitial":"A.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":201916,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goode, Daniel J. 0000-0002-8527-2456 djgoode@usgs.gov","orcid":"https://orcid.org/0000-0002-8527-2456","contributorId":2433,"corporation":false,"usgs":true,"family":"Goode","given":"Daniel J.","email":"djgoode@usgs.gov","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":false,"id":201917,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":30190,"text":"wri994176 - 1999 - Perennial snow and ice volumes on Iliamna Volcano, Alaska, estimated with ice radar and volume modeling","interactions":[],"lastModifiedDate":"2023-01-02T16:00:04.644539","indexId":"wri994176","displayToPublicDate":"2001-03-01T00:00:00","publicationYear":"1999","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":"99-4176","title":"Perennial snow and ice volumes on Iliamna Volcano, Alaska, estimated with ice radar and volume modeling","docAbstract":"<p>The volume of four of the largest glaciers on Iliamna Volcano was estimated using the volume model developed for evaluating glacier volumes on Redoubt Volcano. The volume model is controlled by simulated valley cross sections that are constructed by fitting third-order polynomials to the shape of the valley walls exposed above the glacier surface. Critical cross sections were field checked by sounding with ice-penetrating radar during July 1998. The estimated volumes of perennial snow and glacier ice for Tuxedni, Lateral, Red, and Umbrella Glaciers are 8.6, 0.85, 4.7, and 0.60 cubic kilometers respectively. The estimated volume of snow and ice on the upper 1,000 meters of the volcano is about 1 cubic kilometer. The volume estimates are thought to have errors of no more than ±25 percent. The volumes estimated for the four largest glaciers are more than three times the total volume of snow and ice on Mount Rainier and about 82 times the total volume of snow and ice that was on Mount St. Helens before its May 18, 1980 eruption. Volcanoes mantled by substantial snow and ice covers have produced the largest and most catastrophic lahars and floods. Therefore, it is prudent to expect that, during an eruptive episode, flooding and lahars threaten all of the drainages heading on Iliamna Volcano. On the other hand, debris avalanches can happen any time. Fortunately, their influence is generally limited to the area within a few kilometers of the summit.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri994176","usgsCitation":"Trabant, D.C., 1999, Perennial snow and ice volumes on Iliamna Volcano, Alaska, estimated with ice radar and volume modeling: U.S. Geological Survey Water-Resources Investigations Report 99-4176, 11 p., https://doi.org/10.3133/wri994176.","productDescription":"11 p.","costCenters":[],"links":[{"id":119477,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1999/4176/report-thumb.jpg"},{"id":58986,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4176/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":411238,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_22604.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alaska","otherGeospatial":"Iliamna Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -153.167,\n              59.771\n            ],\n            [\n              -152.833,\n              59.771\n            ],\n            [\n              -152.833,\n              60.25\n            ],\n            [\n              -153.167,\n              60.25\n            ],\n            [\n              -153.167,\n              59.771\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ae0e4b07f02db688323","contributors":{"authors":[{"text":"Trabant, Dennis C.","contributorId":13965,"corporation":false,"usgs":true,"family":"Trabant","given":"Dennis","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":202832,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":27114,"text":"wri994083 - 1999 - Effects of historical land-cover changes on flooding and sedimentation, North Fish Creek, Wisconsin","interactions":[],"lastModifiedDate":"2017-07-13T14:17:55","indexId":"wri994083","displayToPublicDate":"2001-03-01T00:00:00","publicationYear":"1999","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":"99-4083","title":"Effects of historical land-cover changes on flooding and sedimentation, North Fish Creek, Wisconsin","docAbstract":"<p>North Fish Creek, a Wisconsin tributary to Lake Superior, is an important recreational fishery that is potentially limited by the loss of aquatic habitat caused by accelerated flooding and sedimentation. A study of the historical flooding and sedimentation characteristics of North Fish Creek was done to determine how North Fish Creek responded to human-caused changes in land cover since European settlement of the region in the 1870's. Geomorphic field evidence combined with hydrologic and sediment-transport modeling indicate that historical clear-cut logging, followed by agricultural activity, significantly altered the hydrologic and geomorphic conditions of North Fish Creek. The geomorphic responses to land-cover changes were especially sensitive to the location of the reaches along the main stem and on the timing of large floods.</p>\n<p>On the basis of geomorphic evidence in flood-plain deposits and abandoned channels, the size of floods and sediment loads also increased in North Fish Creek after conversion of forested land to cropland and pasture. Changes in channel characteristics were particularly noticeable after record floods in 1941 and 1946. The upper main stem channel bed eroded downward at least 3 meters and the channel capacity at least doubled after European settlement. In the lower stem, the post-settlement sedimentation rate on the flood plain and in the channel is 4 to 6 times pre-settlement rates. The water table also appears to be rising near the mouth of North Fish Creek, perhaps consistent with (1) elevated local streambed elevations caused by sedimentation and (2) a slow relative rise in the local level of Lake Superior due to crustal rebound from glaciation. Along a transitional reach of the main stem between the upper and lower main stem, there is evidence of accelerated flood-plain sedimentation initially following European settlement. Since at least the 1940's, however, the channel bed in the transitional reach has eroded about 1 meter and the channel capacity has at least doubled.</p>\n<p>Results from hydrologic and sediment-transport modeling indicate that modern flood peaks and sediment loads in North Fish Creek may be double that expected under pre-settlement forest cover. During maximum agricultural activity in the mid-1920's to mid-1930's, flood peaks probably were about 3 times larger and sediment loads were about 5 times larger than expected under pre-settlement forest cover. These results indicate that future changes from pasture or cropland to forest will help reduce flood peaks, thereby reducing erosion and sedimentation. The addition of detention basins (to decrease flood peaks) on tributaries to North Fish Creek, or bank and instream restoration (to decrease erosion) in the upper main stem, also may help reduce the contribution of sediment from the upper main stem to the transitional section and lower main stem of the creek.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri994083","usgsCitation":"Fitzpatrick, F.A., Knox, J.C., and Whitman, H.E., 1999, Effects of historical land-cover changes on flooding and sedimentation, North Fish Creek, Wisconsin: U.S. Geological Survey Water-Resources Investigations Report 99-4083, 12 p., https://doi.org/10.3133/wri994083.","productDescription":"12 p.","numberOfPages":"12","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":2220,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4083/report.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":126764,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1999/4083/report-thumb.jpg"}],"country":"United States","state":"Wisconsin","county":"Bayfield County","otherGeospatial":"Chequamegon Bay, Fish Creek, Lake Superior","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.49688720703125,\n              46.4056700993737\n            ],\n            [\n              -91.49688720703125,\n              46.64377960861833\n            ],\n            [\n              -90.94482421875,\n              46.64377960861833\n            ],\n            [\n              -90.94482421875,\n              46.4056700993737\n            ],\n            [\n              -91.49688720703125,\n              46.4056700993737\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ad0e4b07f02db6809a3","contributors":{"authors":[{"text":"Fitzpatrick, Faith A. fafitzpa@usgs.gov","contributorId":1182,"corporation":false,"usgs":true,"family":"Fitzpatrick","given":"Faith","email":"fafitzpa@usgs.gov","middleInitial":"A.","affiliations":[{"id":476,"text":"North Carolina Water Science Center","active":true,"usgs":true}],"preferred":false,"id":197572,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Knox, James C.","contributorId":62247,"corporation":false,"usgs":true,"family":"Knox","given":"James","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":197573,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Whitman, Heather E.","contributorId":64293,"corporation":false,"usgs":true,"family":"Whitman","given":"Heather","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":197574,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":27949,"text":"wri994242 - 1999 - Estimation of potential runoff-contributing areas in Kansas using topographic and soil information","interactions":[],"lastModifiedDate":"2012-02-02T00:08:40","indexId":"wri994242","displayToPublicDate":"2001-03-01T00:00:00","publicationYear":"1999","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":"99-4242","title":"Estimation of potential runoff-contributing areas in Kansas using topographic and soil information","docAbstract":"Digital topographic and soil information was used to estimate potential runoff-contributing areas throughout Kansas. The results then were used to compare 91 selected subbasins representing soil, slope, and runoff variability. Potential runoff-contributing areas were estimated collectively for the processes of infiltration-excess and saturation-excess overland flow using a set of environmental conditions that represented very high, high, moderate, low, very low, and extremely low potential runoff. For infiltration-excess overland flow, various rainfall-intensity and soil-permeability values were used. For saturation-excess overland flow, antecedent soil-moisture conditions and a topographic wetness index were used. Results indicated that very low potential-runoff conditions provided the best ability to distinguish the 91 selected subbasins as having relatively high or low potential runoff. The majority of the subbasins with relatively high potential runoff are located in the eastern half of the State where soil permeability generally is less and precipitation typically is greater. The ability to distinguish the subbasins as having relatively high or low potential runoff was possible mostly due to the variability of soil permeability across the State.","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nInformation Services [distributor],","doi":"10.3133/wri994242","usgsCitation":"Juracek, K.E., 1999, Estimation of potential runoff-contributing areas in Kansas using topographic and soil information: U.S. Geological Survey Water-Resources Investigations Report 99-4242, iv, 29 p. :ill., maps (some col.) ;28 cm., https://doi.org/10.3133/wri994242.","productDescription":"iv, 29 p. :ill., maps (some col.) ;28 cm.","costCenters":[],"links":[{"id":2201,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri99-4242","linkFileType":{"id":5,"text":"html"}},{"id":95690,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4242/report.pdf","size":"8783","linkFileType":{"id":1,"text":"pdf"}},{"id":158757,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1999/4242/report-thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0ae4b07f02db5fb26f","contributors":{"authors":[{"text":"Juracek, Kyle E. 0000-0002-2102-8980 kjuracek@usgs.gov","orcid":"https://orcid.org/0000-0002-2102-8980","contributorId":2022,"corporation":false,"usgs":true,"family":"Juracek","given":"Kyle","email":"kjuracek@usgs.gov","middleInitial":"E.","affiliations":[{"id":353,"text":"Kansas Water Science Center","active":false,"usgs":true}],"preferred":true,"id":198953,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":26942,"text":"wri994068 - 1999 - Comparison of methods for computing streamflow statistics for Pennsylvania streams","interactions":[],"lastModifiedDate":"2018-06-22T14:01:57","indexId":"wri994068","displayToPublicDate":"2001-03-01T00:00:00","publicationYear":"1999","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":"99-4068","title":"Comparison of methods for computing streamflow statistics for Pennsylvania streams","docAbstract":"<p>Methods for computing streamflow statistics intended for use on ungaged locations on Pennsylvania streams are presented and compared to frequency distributions of gaged streamflow data. The streamflow statistics used in the comparisons include the 7-day 10-year low flow, 50-year flood flow, and the 100-year flood flow; additional statistics are presented. Streamflow statistics for gaged locations on streams in Pennsylvania were computed using three methods for the comparisons: 1) Log-Pearson type III frequency distribution (Log-Pearson) of continuous-record streamflow data, 2) regional regression equations developed by the U.S. Geological Survey in 1982 (WRI 82-21), and 3) regional regression equations developed by the Pennsylvania State University in 1981 (PSU-IV). Log-Pearson distribution was considered the reference method for evaluation of the regional regression equations. Low-flow statistics were computed using the Log-Pearson distribution and WRI 82-21, whereas flood-flow statistics were computed using all three methods. The urban adjustment for PSU-IV was modified from the recommended computation to exclude Philadelphia and the surrounding areas (region 1) from the adjustment. Adjustments for storage area for PSU-IV were also slightly modified.</p><p>A comparison of the 7-day 10-year low flow computed from Log-Pearson distribution and WRI-82- 21 showed that the methods produced significantly different values for about 7 percent of the state. The same methods produced 50-year and 100-year flood flows that were significantly different for about 24 percent of the state. Flood-flow statistics computed using Log-Pearson distribution and PSU-IV were not significantly different in any regions of the state. These findings are based on a statistical comparison using the t-test on signed ranks and graphical methods.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri994068","collaboration":"Prepared in cooperation with the Pennsylvania Department of Transportation","usgsCitation":"Ehlke, M.H., and Reed, L.A., 1999, Comparison of methods for computing streamflow statistics for Pennsylvania streams: U.S. Geological Survey Water-Resources Investigations Report 99-4068, vi, 80 p. :ill., col. maps ;28 cm., https://doi.org/10.3133/wri994068.","productDescription":"vi, 80 p. :ill., col. maps ;28 cm.","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":2034,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4068/wri19994068.pdf","text":"Report","size":"2.06 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI1999-4068"},{"id":158234,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1999/4068/coverthb.jpg"}],"contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>,&nbsp;<a href=\"https://pa.water.usgs.gov/\" data-mce-href=\"https://pa.water.usgs.gov/\">Pennsylvania Water Science Center</a><br>U.S. Geological Survey<br>Pennsylvania Water Science Center<br>215 Limekiln Road<br>New Cumberland, PA 17070</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Methods for computing streamflow statistics</li><li>Comparison of Log-Pearson distribution to regional regression equations for gaged locations on Pennsylvania streams.</li><li>Summary and conclusions</li><li>References cited</li><li>Appendix 3. 7-day 10-year low-flow statistic (Q<sub>7,10</sub>) computed from Log-Pearson distribution of streamflow data and WRI 82-21 regional regression equations for gaged locations on streams in Pennsylvania unaffected by carbonate bedrock, extensive mining, or regulation</li><li>Appendix 4. Comparison of streamflow statistics computed using Log-Pearson distribution and regression equations</li><li>Appendix 5. Flood-flow statistics computed from Log-Pearson distribution of streamflow data and WRI 82-21 regional regression equations for gaged locations on streams in Pennsylvania</li><li>Appendix 6. Flood-flow statistics computed from Log-Pearson distribution of streamflow data and PSU-IV regional regression equations for gaged locations on streams in Pennsylvania</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae343","contributors":{"authors":[{"text":"Ehlke, Marla H.","contributorId":44191,"corporation":false,"usgs":true,"family":"Ehlke","given":"Marla","email":"","middleInitial":"H.","affiliations":[],"preferred":false,"id":197285,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Reed, Lloyd A.","contributorId":79861,"corporation":false,"usgs":true,"family":"Reed","given":"Lloyd","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":197286,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":27598,"text":"wri994168 - 1999 - Episodic sediment-discharge events in Cascade Springs, southern Black Hills, South Dakota","interactions":[],"lastModifiedDate":"2012-02-02T00:08:39","indexId":"wri994168","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"1999","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":"99-4168","title":"Episodic sediment-discharge events in Cascade Springs, southern Black Hills, South Dakota","docAbstract":"Cascade Springs is a group of artesian springs in the southern Black Hills, South Dakota, with collective flow of about 19.6 cubic feet per second. Beginning on February 28, 1992, a large discharge of red suspended sediment was observed from two of the six known discharge points. Similar events during 1906-07 and 1969 were documented by local residents and newspaper accounts. Mineralogic and grain-size analyses were performed to identify probable subsurface sources of the sediment. Geochemical modeling was performed to evaluate the geochemical evolution of water discharged from Cascade Springs. Interpretations of results provide a perspective on the role of artesian springs in the regional geohydrologic framework.\r\n\r\nX-ray diffraction mineralogic analyses of the clay fraction of the suspended sediment were compared to analyses of clay-fraction samples taken from nine geologic units at and stratigraphically below the spring-discharge points. Ongoing development of a subsurface breccia pipe(s) in the upper Minnelusa Formation and/or Opeche Shale was identified as a likely source of the suspended sediment; thus, exposed breccia pipes in lower Hell Canyon were examined. Upper Minnelusa Formation breccia pipes in lower Hell Canyon occur in clusters similar to the discrete discharge points of Cascade Springs. Grain-size analyses showed that breccia masses lack clay fractions and have coarser distributions than the wall rocks, which indicates that the red, fine-grained fractions have been carried out as suspended sediment. These findings support the hypothesis that many breccia pipes were formed as throats of abandoned artesian springs.\r\n\r\nGeochemical modeling was used to test whether geochemical evolution of ground water is consistent with this hypothesis. The evolution of water at Cascade Springs could not be suitably simulated using only upgradient water from the Minnelusa aquifer. A suitable model involved dissolution of anhydrite accompanied by dedolomitization in the upper Minnelusa Formation, which is caused by upward leakage of relatively fresh water from the Madison aquifer. The anhydrite dissolution and dedolomitization account for the net removal of minerals that would lead to breccia pipe formation by gravitational collapse. Breccia pipes in the lower Minnelusa Formation are uncommon; however, networks of interconnected breccia layers and breccia dikes are common. These networks, along with vertical fractures and faults, are likely pathways for transmitting upward leakage from the Madison aquifer.\r\n\r\nIt is concluded that suspended sediment discharged at Cascade Springs probably results from episodic collapse brecciation that is caused by subsurface dissolution of anhydrite beds and cements of the upper Minnelusa Formation, accompanied by replacement of dolomite by calcite. It is further concluded that many breccia pipes probably are the throats of artesian springs that have been abandoned and exposed by erosion. The locations of artesian spring-discharge points probably have been shifting outwards from the center of the Black Hills uplift, essentially keeping pace with regional erosion over geologic time. Thus, artesian springflow probably is a factor in controlling water levels in the Madison and Minnelusa aquifers, with hydraulic head declining over geologic time, in response to development of new discharge points.\r\n\r\nDevelopment of breccia pipes as throats of artesian springs would greatly enhance vertical hydraulic conductivity in the immediate vicinity of spring-discharge points. Horizontal hydraulic conductivity in the Minnelusa Formation also may be enhanced by dissolution processes related to upward leakage from the Madison aquifer. Potential processes could include dissolution resulting from leakage in the vicinity of breccia pipes that are abandoned spring throats, active spring discharge, development of subsurface breccias with no visible surface expression or spring discharge, as well as general areal leakage ","language":"ENGLISH","publisher":"U.S. Dept. of the Interior, U.S. Geological Survey ;\r\nInformation Services [distributor],","doi":"10.3133/wri994168","usgsCitation":"Hayes, T., 1999, Episodic sediment-discharge events in Cascade Springs, southern Black Hills, South Dakota: U.S. Geological Survey Water-Resources Investigations Report 99-4168, iv, 34 p. :ill. (some col.), maps (some col.) ;28 cm., https://doi.org/10.3133/wri994168.","productDescription":"iv, 34 p. :ill. (some col.), maps (some col.) ;28 cm.","costCenters":[],"links":[{"id":2187,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri994168/","linkFileType":{"id":5,"text":"html"}},{"id":158871,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a13e4b07f02db602077","contributors":{"authors":[{"text":"Hayes, Timothy Scott","contributorId":97151,"corporation":false,"usgs":true,"family":"Hayes","given":"Timothy Scott","affiliations":[],"preferred":false,"id":198389,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":29255,"text":"wri994142 - 1999 - Estimation of magnitude and frequency of floods for streams in Puerto Rico: New empirical models","interactions":[],"lastModifiedDate":"2022-02-16T21:03:51.85733","indexId":"wri994142","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"1999","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":"99-4142","title":"Estimation of magnitude and frequency of floods for streams in Puerto Rico: New empirical models","docAbstract":"Flood-peak discharges and frequencies are presented for 57 gaged sites in Puerto Rico for recurrence intervals ranging from 2 to 500 years. The log-Pearson Type III distribution, the methodology recommended by the United States Interagency Committee on Water Data, was used to determine the magnitude and frequency of floods at the gaged sites having 10 to 43 years of record. A technique is presented for estimating flood-peak discharges at recurrence intervals ranging from 2 to 500 years for unregulated streams in Puerto Rico with contributing drainage areas ranging from 0.83 to 208 square miles. Loglinear multiple regression analyses, using climatic and basin characteristics and peak-discharge data from the 57 gaged sites, were used to construct regression equations to transfer the magnitude and frequency information from gaged to ungaged sites. The equations have contributing drainage area, depth-to-rock, and mean annual rainfall as the basin and climatic characteristics in estimating flood peak discharges. Examples are given to show a step-by-step procedure in calculating a 100-year flood at a gaged site, an ungaged site, a site near a gaged location, and a site between two gaged sites.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri994142","usgsCitation":"Ramos-Gines, O., 1999, Estimation of magnitude and frequency of floods for streams in Puerto Rico: New empirical models: U.S. Geological Survey Water-Resources Investigations Report 99-4142, v, 41 p., https://doi.org/10.3133/wri994142.","productDescription":"v, 41 p.","costCenters":[],"links":[{"id":158487,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":2248,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri994142","linkFileType":{"id":5,"text":"html"}},{"id":396038,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_23055.htm"}],"country":"United 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,{"id":26857,"text":"wri994165 - 1999 - Conceptual Model and Numerical Simulation of the Ground-Water-Flow System in the Unconsolidated Sediments of Thurston County, Washington","interactions":[],"lastModifiedDate":"2012-03-08T17:16:15","indexId":"wri994165","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"1999","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":"99-4165","title":"Conceptual Model and Numerical Simulation of the Ground-Water-Flow System in the Unconsolidated Sediments of Thurston County, Washington","docAbstract":"The demand for water in Thurston County has increased steadily in recent years because of a rapid growth in population. Surface-water resources in the county have been fully appropriated for many years and Thurston County now relies entirely on ground water for new supplies of water. Thurston County is underlain by up to 2,000 feet of unconsolidated glacial and non-glacial Quaternary sediments which overlie consolidated rocks of Tertiary age. Six geohydrologic units have been identified within the unconsolidated sediments.\r\n\r\nBetween 1988 and 1990, median water levels rose 0.6 to 1.9 feet in all geohydrologic units except bedrock, in which they declined 1.4 feet. Greater wet-season precipitation in 1990 (43 inches) than in 1988 (26 inches) was the probable cause of the higher 1990 water levels.\r\n\r\nGround-water flow in the unconsolidated sediments underlying Thurston County was simulated with a computerized numerical model (MODFLOW). The model was constructed to simulate 1988 ground-water conditions as steady state.\r\n\r\nSimulated inflow to the model area from precipitation and secondary recharge was 620,000 acre-feet per year (93 percent), leakage from streams and lakes was 38,000 acre-ft/yr (6 percent), and ground water entering the model along the Chehalis River valley was 5,800 acre-ft/yr (1 percent). Simulated outflow from the model was primarily leakage to streams, springs, lakes, and seepage faces (500,000 acre-ft/yr or 75 percent of the total outflow). Submarine seepage to Puget Sound was simulated to be 88,000 acre-ft/yr (13 percent). Simulated ground-water discharge along the Chehalis River valley was simulated to be 12,000 acreft/yr (2 percent). Simulated withdrawals by wells for all purposes was 62,000 acre-ft/yr (9 percent).\r\n\r\nThe numerical model was used to simulate the possible effects of increasing ground-water withdrawals by 23,000 acre-ft/yr above the 1988 rate of withdrawal. The model indicated that the increased withdrawals would come from reduced discharge to springs, seepage faces, and offshore (total of 51 percent of increased pumping) and decreased flow to rivers (46 percent). About 3 percent would come from increased leakage from rivers. Water levels would decline more than 1 foot over most of the model area, more than 10 feet over some areas, and would be at a maximum of about 35 feet.\r\n\r\nContributing areas for water discharging at McAllister and Abbott Springs and to pumping centers near Tumwater and Lacey were estimated using a particle-tracking post-processing computer code (MODPATH) and a MODFLOW model calibrated to steady-state (1988) conditions. Water discharging at McAllister and Abbot Springs was determined to come from water entering the ground-water system at the water table in an area of about 20 square miles (mi2) to the west and south of the springs. This water is estimated to come from recharge (both precipitation and secondary) and from leakage from Lake St. Clair and several other surface-water bodies. Southeast of Lacey, about 3,800 acre-ft of ground water were pumped from five municipal wells during 1988. The source of the pumped water was determined to be an area that covers about 1.1 mi2. The water was estimated to come from recharge (both precipitation and secondary) and leakage from surface-water bodies. Along the lower Deschutes River nearly 3,900 acre-ft/yr of ground water were pumped during 1988 from 15 wells for municipal and industrial use. The calculated source of this water was an area that covers about 1.3 mi2. Within the calculated contributing area the pumped ground water comes from recharge (both precipitation and secondary) and leakage from the Deschutes River and several other surface-water bodies.","language":"ENGLISH","publisher":"U.S. Geological Survey","doi":"10.3133/wri994165","collaboration":"Prepared in cooperation with Thurston County Health Department","usgsCitation":"Drost, B., Ely, D., and Lum, W.E., 1999, Conceptual Model and Numerical Simulation of the Ground-Water-Flow System in the Unconsolidated Sediments of Thurston County, Washington: U.S. Geological Survey Water-Resources Investigations Report 99-4165, Total: 262 p.; Report: vi, 106 p.; Appendixes: Pages 107-254; Figure 21 PDF: 22 x 34 inches, https://doi.org/10.3133/wri994165.","productDescription":"Total: 262 p.; Report: vi, 106 p.; Appendixes: Pages 107-254; Figure 21 PDF: 22 x 34 inches","onlineOnly":"N","additionalOnlineFiles":"Y","costCenters":[{"id":622,"text":"Washington Water Science Center","active":true,"usgs":true}],"links":[{"id":157322,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":12408,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri994165/","linkFileType":{"id":5,"text":"html"}}],"geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -123.5,46.5 ], [ -123.5,48.5 ], [ -121.5,48.5 ], [ -121.5,46.5 ], [ -123.5,46.5 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b15e4b07f02db6a4839","contributors":{"authors":[{"text":"Drost, B. W.","contributorId":38526,"corporation":false,"usgs":true,"family":"Drost","given":"B. W.","affiliations":[],"preferred":false,"id":197131,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ely, D.M.","contributorId":33356,"corporation":false,"usgs":true,"family":"Ely","given":"D.M.","email":"","affiliations":[],"preferred":false,"id":197130,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Lum, W. E. II","contributorId":81504,"corporation":false,"usgs":true,"family":"Lum","given":"W.","suffix":"II","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":197132,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":29462,"text":"wri984218 - 1999 - Processes affecting dissolved-oxygen concentrations in the lower reaches of Middle Fork and South Fork Beargrass Creek, Jefferson County, Kentucky","interactions":[],"lastModifiedDate":"2014-04-10T08:17:40","indexId":"wri984218","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"1999","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":"98-4218","title":"Processes affecting dissolved-oxygen concentrations in the lower reaches of Middle Fork and South Fork Beargrass Creek, Jefferson County, Kentucky","docAbstract":"This report provides data on dissolved-oxygen\n(DO) concentrations and identifies the environmental\nprocesses that most affect DO concentrations\nduring base-flow periods in the lower\nreaches of Middle Fork and South Fork Beargrass\nCreek in Jefferson County, Kentucky. These\nreaches are affected by inputs from combined-sewer\noverflows. Sections of the lower reaches of\nthe two streams run through single-family residential\nareas and public parks that are used extensively\nby local residents during the summer.\nRecreational fishing and wading also are common\nin the Middle Fork reach.\nContinuous-record data collected during the\nsummer and early fall (July-September 1996 on\nthe Middle Fork and July-October 1995 on the\nSouth Fork) at three monitoring sites along each\nreach indicate generally decreasing DO concentrations\nin the downstream direction except for\nthe South Fork Beargrass Creek at Winter Avenue\nsite where channel modifications have resulted in\nhigher velocities along with shallower depths during\nlow-flow conditions. The channel modifications\nat this site increased the reaeration-rate\ncoefficient (a measure of the capacity of the\nstream to absorb oxygen through the air-water\ninterface), increased the potential for algae to\nattach to the rough concrete surface, and\nincreased algal exposure to sunlight.\nSynoptic data available for selected constituent\nconcentrations were used to calibrate and verify\na computer model (U.S. Environmental\nProtection Agency QUAL2E model) capable of\nsimulating processes that affect DO concentrations\nin streams. The results of the study indicate\nthat streamflow, reaeration, and sediment-oxygen\ndemand (SOD) are the factors that most affect net\nproduction and depletion of DO in the lower\nreaches of Middle Fork and South Fork Beargrass\nCreek. For the QUAL2E model, streamflow is\nused in the determination of depth, which in tum\nis used to estimate the consumption of oxygen by\nSOD. Streamflow also is used in the determination\nof the reaeration-rate coefficient. From the\nQUAL2E simulations, DO concentrations (in the\nmass balance) attributed to reaeration and SOD\nwere at least an order of magnitude greater than\nany of the other factors that can affect\nDO concentrations. Large diurnal variability in\nDO concentrations resulted at the monitoring sites\nlocated at upstream and downstream ends of the\nMiddle Fork and South Fork reaches, but as indicated\nin model simulation, the net effect of photosynthesis\nand respiration on DO concentration\nwas small. Nitrogen, ammonia, and carbonaceous\nbiochemical-oxygen demand were present at low\nconcentrations in each of the study reaches; the\nmodel results indicate these constituents did not\nhave a substantial effect on DO concentrations.\nModel simulations indicated that lowering the\nSOD rate by 50 percent would result in a substantial improvement in DO concentrations in the\nMiddle Fork Beargrass Creek reach for extremely\nlow base-flow conditions but would result in only\nlimited improvement in DO concentrations in the\nSouth Fork Beargrass Creek reach. However, no\nsimulations for extremely low base-flow conditions\nwere conducted for the South Fork Beargrass\nCreek reach. More information on SOD is\nneeded for stream reaches affected by periodic\ninputs of effluent. In such stream systems, the\ntemporal and spatial variability of SOD needs to\nbe better defined.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Louisville, KY","doi":"10.3133/wri984218","collaboration":"Prepared in cooperation with the Louisville and Jefferson County Metropolitan Sewer District","usgsCitation":"Ruhl, K.J., and Jarrett, G.L., 1999, Processes affecting dissolved-oxygen concentrations in the lower reaches of Middle Fork and South Fork Beargrass Creek, Jefferson County, Kentucky: U.S. Geological Survey Water-Resources Investigations Report 98-4218, v, 53 p., https://doi.org/10.3133/wri984218.","productDescription":"v, 53 p.","numberOfPages":"58","costCenters":[],"links":[{"id":286095,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1998/4218/report-thumb.jpg"},{"id":286094,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1998/4218/report.pdf"}],"scale":"100000","projection":"Universal Transverse Mercator projection","country":"United States","state":"Kentucky","county":"Jefferson County","otherGeospatial":"Beargrass Creek","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -86.0,38.0 ], [ -86.0,38.375 ], [ -85.375,38.375 ], [ -85.375,38.0 ], [ -86.0,38.0 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65e541","contributors":{"authors":[{"text":"Ruhl, Kevin J.","contributorId":35769,"corporation":false,"usgs":true,"family":"Ruhl","given":"Kevin","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":201559,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Jarrett, G. Lynn","contributorId":75577,"corporation":false,"usgs":true,"family":"Jarrett","given":"G.","email":"","middleInitial":"Lynn","affiliations":[],"preferred":false,"id":201560,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":26037,"text":"wri994017 - 1999 - A dynamic water-quality modeling framework for the Neuse River estuary, North Carolina","interactions":[],"lastModifiedDate":"2019-12-30T13:05:19","indexId":"wri994017","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"1999","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":"99-4017","title":"A dynamic water-quality modeling framework for the Neuse River estuary, North Carolina","docAbstract":"As a result of fish kills in the Neuse River estuary in 1995, nutrient reduction strategies were developed for point and nonpoint sources in the basin. However, because of the interannual variability in the natural system and the resulting complex hydrologic-nutrient inter- actions, it is difficult to detect through a short-term observational program the effects of management activities on Neuse River estuary water quality and aquatic health. A properly constructed water-quality model can be used to evaluate some of the potential effects of manage- ment actions on estuarine water quality. Such a model can be used to predict estuarine response to present and proposed nutrient strategies under the same set of meteorological and hydrologic conditions, thus removing the vagaries of weather and streamflow from the analysis.\r\n\r\nA two-dimensional, laterally averaged hydrodynamic and water-quality modeling framework was developed for the Neuse River estuary by using previously collected data. Development of the modeling framework consisted of (1) computational grid development, (2) assembly of data for model boundary conditions and model testing, (3) selection of initial values of model parameters, and (4) limited model testing.\r\n\r\nThe model domain extends from Streets Ferry to Oriental, N.C., includes seven lateral embayments that have continual exchange with the main- stem of the estuary, three point-source discharges, and three tributary streams. Thirty-five computational segments represent the mainstem of the estuary, and the entire framework contains a total of 60 computa- tional segments. Each computational cell is 0.5 meter thick; segment lengths range from 500 meters to 7,125 meters.\r\n\r\nData that were used to develop the modeling framework were collected during March through October 1991 and represent the most comprehensive data set available prior to 1997. Most of the data were collected by the North Carolina Division of Water Quality, the University of North Carolina Institute of Marine Sciences, and the U.S. Geological Survey.\r\n\r\nLimitations in the modeling framework were clearly identified. These limitations formed the basis for a set of suggestions to refine the Neuse River estuary water-quality model.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri994017","usgsCitation":"Bales, J.D., and Robbins, J.C., 1999, A dynamic water-quality modeling framework for the Neuse River estuary, North Carolina: U.S. Geological Survey Water-Resources Investigations Report 99-4017, iv, 35 p. , https://doi.org/10.3133/wri994017.","productDescription":"iv, 35 p. ","costCenters":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"links":[{"id":95575,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4017/report.pdf","size":"7285","linkFileType":{"id":1,"text":"pdf"}},{"id":158463,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1999/4017/report-thumb.jpg"}],"country":"United States","state":"North Carolina","otherGeospatial":"Neuse River estuary","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.61865234374999,\n              35.380092992092145\n            ],\n            [\n              -78.914794921875,\n              36.37706783983682\n            ],\n            [\n              -79.332275390625,\n              36.53612263184686\n            ],\n            [\n              -79.925537109375,\n              36.518465989675875\n            ],\n            [\n              -79.859619140625,\n              35.84453450421662\n            ],\n            [\n              -79.310302734375,\n              35.29943548054545\n            ],\n            [\n              -78.277587890625,\n              34.6060845921693\n            ],\n            [\n              -77.36572265625,\n              34.23451236236987\n            ],\n            [\n              -76.9482421875,\n              34.56085936708384\n            ],\n            [\n              -76.04736328125,\n              34.74161249883172\n            ],\n            [\n              -76.475830078125,\n              35.24561909420681\n            ],\n            [\n              -76.61865234374999,\n              35.380092992092145\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b24e4b07f02db6aecc7","contributors":{"authors":[{"text":"Bales, Jerad D. 0000-0001-8398-6984 jdbales@usgs.gov","orcid":"https://orcid.org/0000-0001-8398-6984","contributorId":683,"corporation":false,"usgs":true,"family":"Bales","given":"Jerad","email":"jdbales@usgs.gov","middleInitial":"D.","affiliations":[{"id":436,"text":"National Research Program - Eastern Branch","active":true,"usgs":true},{"id":5058,"text":"Office of the Chief Scientist for Water","active":true,"usgs":true}],"preferred":true,"id":195685,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Robbins, Jeanne C. 0000-0001-7804-0764 jrobbins@usgs.gov","orcid":"https://orcid.org/0000-0001-7804-0764","contributorId":1586,"corporation":false,"usgs":true,"family":"Robbins","given":"Jeanne","email":"jrobbins@usgs.gov","middleInitial":"C.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true}],"preferred":true,"id":195686,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":26796,"text":"wri984212 - 1999 - Use of computer programs STLK1 and STWT1 for analysis of stream-aquifer hydraulic interaction","interactions":[],"lastModifiedDate":"2025-01-08T22:58:29.661781","indexId":"wri984212","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"1999","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":"98-4212","title":"Use of computer programs STLK1 and STWT1 for analysis of stream-aquifer hydraulic interaction","docAbstract":"Quantifying the hydraulic interaction of aquifers and streams is important in the analysis of stream base fow, flood-wave effects, and contaminant transport between surface- and ground-water systems. This report describes the use of two computer programs, STLK1 and STWT1, to analyze the hydraulic interaction of streams with confined, leaky, and water-table aquifers during periods of stream-stage fuctuations and uniform, areal recharge. The computer programs are based on analytical solutions to the ground-water-flow equation in stream-aquifer settings and calculate ground-water levels, seepage rates across the stream-aquifer boundary, and bank storage that result from arbitrarily varying stream stage or recharge. Analysis of idealized, hypothetical stream-aquifer systems is used to show how aquifer type, aquifer boundaries, and aquifer and streambank hydraulic properties affect aquifer response to stresses. Published data from alluvial and stratifed-drift aquifers in Kentucky, Massachusetts, and Iowa are used to demonstrate application of the programs to field settings. Analytical models of these three stream-aquifer systems are developed on the basis of available hydrogeologic information. Stream-stage fluctuations and recharge are applied to the systems as hydraulic stresses. The models are calibrated by matching ground-water levels calculated with computer program STLK1 or STWT1 to measured ground-water levels.\r\n\r\nThe analytical models are used to estimate hydraulic properties of the aquifer, aquitard, and streambank; to evaluate hydrologic conditions in the aquifer; and to estimate seepage rates and bank-storage volumes resulting from flood waves and recharge. Analysis of field examples demonstrates the accuracy and limitations of the analytical solutions and programs when applied to actual ground-water systems and the potential uses of the analytical methods as alternatives to numerical modeling for quantifying stream-aquifer interactions.","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri984212","usgsCitation":"DeSimone, L.A., and Barlow, P.M., 1999, Use of computer programs STLK1 and STWT1 for analysis of stream-aquifer hydraulic interaction: U.S. Geological Survey Water-Resources Investigations Report 98-4212, v, 61 p., https://doi.org/10.3133/wri984212.","productDescription":"v, 61 p.","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"links":[{"id":158537,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8645,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri98-4212/","linkFileType":{"id":5,"text":"html"}},{"id":465932,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_77842.htm","text":"Cedar River study site, Linn County, Iowa","linkFileType":{"id":5,"text":"html"}},{"id":465933,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_77843.htm","text":"Blackstone River study site, South Grafton, Massachusetts","linkFileType":{"id":5,"text":"html"}},{"id":465934,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_77854.htm","text":"Tennessee River study site, McCracken and Livingston Counties, Kentucky","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d8e4b07f02db5df7b9","contributors":{"authors":[{"text":"DeSimone, Leslie A. 0000-0003-0774-9607 ldesimon@usgs.gov","orcid":"https://orcid.org/0000-0003-0774-9607","contributorId":195635,"corporation":false,"usgs":true,"family":"DeSimone","given":"Leslie","email":"ldesimon@usgs.gov","middleInitial":"A.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true},{"id":466,"text":"New England Water Science Center","active":true,"usgs":true}],"preferred":true,"id":197018,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Barlow, Paul M. 0000-0003-4247-6456 pbarlow@usgs.gov","orcid":"https://orcid.org/0000-0003-4247-6456","contributorId":1200,"corporation":false,"usgs":true,"family":"Barlow","given":"Paul","email":"pbarlow@usgs.gov","middleInitial":"M.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true}],"preferred":true,"id":197017,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":30648,"text":"wri984201 - 1999 - A precipitation-runoff model for part of the Ninemile Creek watershed near Camillus, Onondaga County, New York","interactions":[],"lastModifiedDate":"2025-01-13T21:37:49.277919","indexId":"wri984201","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"1999","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":"98-4201","title":"A precipitation-runoff model for part of the Ninemile Creek watershed near Camillus, Onondaga County, New York","docAbstract":"<p>A precipitation-runoff model, HSPF (Hydrologic Simulation Program Fortran), of a 41.7 square mile part of the Ninemile Creek watershed near Camillus, in central New York, was developed and calibrated to predict the hydrological effects of future suburban development on streamflow, and the effects of stormwater detention on flooding of Ninemile Creek at Camillus. Development was represented in the model in two ways: (1) as a pervious area (open and residential land) that simulates the hydrologic response from mixed pervious and impervious areas that drain to pervious areas, or (2) as an impervious area that drains to channels. Simulations indicate that peak discharges for 30 non-winter storms in 1995-96 would increase by an average of 10 to 37 percent in response to a 10- to 100-percent buildup of developable land represented as open/residential land and by 40 to 68 percent in response to 10 to 100 percent buildup of developable area represented as impervious area. A 10 to 100 percent buildup of developable area represents an impervious area of about 1 to 7 percent of the watershed. A log Pearson Type-III analysis of peak annual discharge for October 1989 through September 1996 for simulations with full development represented as impervious area indicates that stormflows that formerly occurred once every 2 years on average will occur once every 1.5 years, and stormflows that formerly occurred once every 5 years will occur once every 3.3 years.</p><p>Simulations of a hypothetical 147-acre residential development in the lower part of the watershed with and without stormwater detention indicate that detention basins could cause either increase or decrease downstream flooding of Ninemile Creek at Camillus, depending on the basin.s available storage relative to its inflows and, hence, the timing of its peak outflow in relation to that of the peak discharge in Ninemile Creek; and the degree of flow retention by wetlands and other channel storage that affect the timing of peak discharges. Design and management of detention basins in the watershed will require analysis of each basin.s hydraulic characteristics and location relative to Ninemile Creek to predict their effect on downstream flooding. The runoff model described herein can be used to evaluate alternative detention basin designs and locations.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri984201","collaboration":"Prepared in cooperation with the Town of Camillus","usgsCitation":"Zarriello, P.J., 1999, A precipitation-runoff model for part of the Ninemile Creek watershed near Camillus, Onondaga County, New York: U.S. Geological Survey Water-Resources Investigations Report 98-4201, vii, 60 p., https://doi.org/10.3133/wri984201.","productDescription":"vii, 60 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":474,"text":"New York Water Science Center","active":true,"usgs":true}],"links":[{"id":160025,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1998/4201/coverthb.jpg"},{"id":3005,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1998/4201/wri19984201.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 1998-4201"},{"id":400771,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_49039.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"New York","county":"Onondaga County","city":"Camillus","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -76.4,\n              42.875\n            ],\n            [\n              -76.25,\n              42.875\n            ],\n            [\n              -76.25,\n              43.1\n            ],\n            [\n              -76.4,\n              43.1\n            ],\n            [\n              -76.4,\n              42.875\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p>Director, New York Water Science Center<br> U.S. Geological Survey<br>425 Jordan Rd<br> Troy, NY 12180<br> (518) 285-5695 <br> <a href=\"http://ny.water.usgs.gov/\" data-mce-href=\"http://ny.water.usgs.gov/\">http://ny.water.usgs.gov/</a></p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Precipitation-runoff Model</li><li>Model Application</li><li>Summary and Conclusions</li><li>References Cited</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a8cfd","contributors":{"authors":[{"text":"Zarriello, Phillip J. 0000-0001-9598-9904 pzarriel@usgs.gov","orcid":"https://orcid.org/0000-0001-9598-9904","contributorId":1868,"corporation":false,"usgs":true,"family":"Zarriello","given":"Phillip","email":"pzarriel@usgs.gov","middleInitial":"J.","affiliations":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"preferred":true,"id":203601,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":30449,"text":"wri994022 - 1999 - Simulation of effects of wastewater discharges on Sand Creek and lower Caddo Creek near Ardmore, Oklahoma","interactions":[],"lastModifiedDate":"2018-03-14T16:42:14","indexId":"wri994022","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"1999","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":"99-4022","title":"Simulation of effects of wastewater discharges on Sand Creek and lower Caddo Creek near Ardmore, Oklahoma","docAbstract":"<p>A streamflow and water-quality model was developed for reaches of Sand and Caddo Creeks in south-central Oklahoma to simulate the effects of wastewater discharge from a refinery and a municipal treatment plant.</p><p>The purpose of the model was to simulate conditions during low streamflow when the conditions controlling dissolved-oxygen concentrations are most severe. </p><p>Data collected to calibrate and verify the streamflow and water-quality model include continuously monitored streamflow and water-quality data at two gaging stations and three temporary monitoring stations; wastewater discharge from two wastewater plants; two sets each of five water-quality samples at nine sites during a 24-hour period; dye and propane samples; periphyton samples; and sediment oxygen demand measurements. The water-quality sampling, at a 6-hour frequency, was based on a Lagrangian reference frame in which the same volume of water was sampled at each site. </p><p>To represent the unsteady streamflows and the dynamic water-quality conditions, a transport modeling system was used that included both a model to route streamflow and a model to transport dissolved conservative constituents with linkage to reaction kinetics similar to the U.S. Environmental Protection Agency QUAL2E model to simulate nonconservative constituents. These model codes are the Diffusion Analogy Streamflow Routing Model (DAFLOW) and the branched Lagrangian transport model (BLTM) and BLTM/QUAL2E that, collectively, as calibrated models, are referred to as the Ardmore Water-Quality Model.</p><p>The Ardmore DAFLOW model was calibrated with three sets of streamflows that collectively ranged from 16 to 3,456 cubic feet per second. The model uses only one set of calibrated coefficients and exponents to simulate streamflow over this range. The Ardmore BLTM was calibrated for transport by simulating dye concentrations collected during a tracer study when streamflows ranged from 16 to 23 cubic feet per second. Therefore, the model is expected to be most useful for low streamflow simulations. The Ardmore BLTM/QUAL2E model was calibrated and verified with water-quality data from nine sites where two sets of five samples were collected. The streamflow during the water-quality sampling in Caddo Creek at site 7 ranged from 8.4 to 20 cubic feet per second, of which about 5.0 to 9.7 cubic feet per second was contributed by Sand Creek. The model simulates the fate and transport of 10 water-quality constituents. The model was verified by running it using data that were not used in calibration; only phytoplankton were not verified.</p><p>Measured and simulated concentrations of dissolved oxygen exhibited a marked daily pattern that was attributable to waste loading and algal activity. Dissolved-oxygen measurements during this study and simulated dissolved-oxygen concentrations using the Ardmore Water-Quality Model, for the conditions of this study, illustrate that the dissolved-oxygen sag curve caused by the upstream wastewater discharges is confined to Sand Creek.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri994022","usgsCitation":"Wesolowski, E.A., 1999, Simulation of effects of wastewater discharges on Sand Creek and lower Caddo Creek near Ardmore, Oklahoma: U.S. Geological Survey Water-Resources Investigations Report 99-4022, v, 124 p., https://doi.org/10.3133/wri994022.","productDescription":"v, 124 p.","costCenters":[{"id":478,"text":"North Dakota Water Science Center","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"links":[{"id":95844,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4022/report.pdf","size":"8671","linkFileType":{"id":1,"text":"pdf"}},{"id":160485,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/1999/4022/report-thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49a2e4b07f02db5bf314","contributors":{"authors":[{"text":"Wesolowski, Edwin A.","contributorId":14014,"corporation":false,"usgs":true,"family":"Wesolowski","given":"Edwin","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":203273,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":30389,"text":"wri994021 - 1999 - Sources of phosphorus in stormwater and street dirt from two urban residential basins in Madison, Wisconsin, 1994-95","interactions":[],"lastModifiedDate":"2015-10-27T15:15:43","indexId":"wri994021","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"1999","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":"99-4021","title":"Sources of phosphorus in stormwater and street dirt from two urban residential basins in Madison, Wisconsin, 1994-95","docAbstract":"<p>Eutrophication is a common problem for lakes in agricultural and urban areas, such as Lakes Wingra and Mendota in Madison, Wisconsin. This report describes a study to estimate the sources of phosphorus, a major contributor to eutrophication, to Lakes Wingra and Mendota from two small urban residential drainage basins. The Monroe Basin empties into Lake Wingra, and the Harper Basin into Lake Mendota. Phosphorus data were collected from streets, lawns, roofs, driveways, and parking lots (source areas) within these two basins and were used to estimate loads from each area. In addition to the samples collected from these source areas, flow-composite samples were collected at monitoring stations located at the watershed outfalls (storm sewers); discharge and rainfall also were measured. Resulting data were then used to calibrate the Source Loading and Management Model (SLAMM, version 6.3, copyright 1993, Pitt &amp; Vorhees) for conditions in the city of Madison and determine within these basins which of the source areas are contributing the most phosphorus.</p>\n<p>Water volumes in the calibrated model were calculated to within 23 percent and 24 percent of those measured at the outfalls of each of the basins. These water volumes were applied to the suspended- solids and phosphorus concentrations that were used to calibrate SLAMM for suspended-solids and phosphorus loads. Suspended-solids loads were calculated to be within 4 percent and 17 percent, total-phosphorus loads within 24 percent and 28 percent, and dissolved-phosphorus loads within 9 percent and 10 percent of those measured at the storm-sewer outfall at the Monroe and Harper basins, respectively.</p>\n<p>Lawns and streets are the largest sources of total and dissolved phosphorus in the basins. Their combined contribution was approximately 80 percent, with lawns contributing more than the streets. Streets were the largest source of suspended solids.</p>\n<p>Street-dirt samples were collected using industrial vacuum equipment. Leaves in these samples were separated out and the remaining sediment was sieved into &gt;250 mm, 250-63 mm, 63-25 mm, &lt;25 mm size fractions and were analyzed for total phosphorus. Approximately 75 percent of the sediment mass resides in the &gt;250 mm size fractions. Less than 5 percent of the mass can be found in the particle sizes less than 63 mm. The &gt;250 mm size fraction also contributed nearly 50 percent of the total-phosphorus mass and the leaf fraction contributed an additional 30 percent. In each particle size, approximately 25 percent of the total-phosphorus mass is derived from leaves or other vegetation.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri994021","collaboration":"Prepared in cooperation with the City of Madison, Wisconsin Department of Natural Resources","usgsCitation":"Waschbusch, R.J., Selbig, W., and Bannerman, R.T., 1999, Sources of phosphorus in stormwater and street dirt from two urban residential basins in Madison, Wisconsin, 1994-95: U.S. Geological Survey Water-Resources Investigations Report 99-4021, iv, 47 p., https://doi.org/10.3133/wri994021.","productDescription":"iv, 47 p.","numberOfPages":"51","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":160948,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":2511,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri994021","linkFileType":{"id":5,"text":"html"}},{"id":310688,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://wi.water.usgs.gov/pubs/WRIR-99-4021/WRIR-99-4021.pdf"}],"country":"United States","state":"Wisconsin","county":"Dane County","city":"Madison","otherGeospatial":"Lake Mendota, Lake Menona, Lake Wingra","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -89.57015991210938,\n              43.038783344984836\n            ],\n            [\n              -89.57015991210938,\n              43.174136889598124\n            ],\n            [\n              -89.27215576171874,\n              43.174136889598124\n            ],\n            [\n              -89.27215576171874,\n              43.038783344984836\n            ],\n            [\n              -89.57015991210938,\n              43.038783344984836\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e6e4b07f02db5e75f3","contributors":{"authors":[{"text":"Waschbusch, Robert J. 0000-0002-4069-0267 rjwaschb@usgs.gov","orcid":"https://orcid.org/0000-0002-4069-0267","contributorId":3447,"corporation":false,"usgs":true,"family":"Waschbusch","given":"Robert","email":"rjwaschb@usgs.gov","middleInitial":"J.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":203168,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Selbig, W.R.","contributorId":102106,"corporation":false,"usgs":true,"family":"Selbig","given":"W.R.","email":"","affiliations":[],"preferred":false,"id":203170,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Bannerman, Roger T. 0000-0001-9221-2905 rbannerman@usgs.gov","orcid":"https://orcid.org/0000-0001-9221-2905","contributorId":5560,"corporation":false,"usgs":true,"family":"Bannerman","given":"Roger","email":"rbannerman@usgs.gov","middleInitial":"T.","affiliations":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"preferred":true,"id":203169,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":27600,"text":"wri994075 - 1999 - The Sparta aquifer in Arkansas' critical ground-water areas: Response of the aquifer to supplying future water needs","interactions":[],"lastModifiedDate":"2015-10-22T13:19:40","indexId":"wri994075","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"1999","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":"99-4075","title":"The Sparta aquifer in Arkansas' critical ground-water areas: Response of the aquifer to supplying future water needs","docAbstract":"<p>The Sparta aquifer is a confined aquifer of great regional importance that comprises a sequence of unconsolidated sand, silt, and clay units extending across much of eastern and southeastern Arkansas and into adjoining States. Water use from the aquifer has doubled since 1975 and continues to increase, and large water-level declines are occurring in many areas of the aquifer. To focus State attention and resources on the growing problem and to provide a mechanism for locally based education and management, the Arkansas Soil and Water Conservation Commission has designated Critical Ground-Water Areas in some counties (see page 6, ?What is a Critical Ground-Water Area??). Ground-water modeling study results show that the aquifer cannot continue to meet growing water-use demands. Dewatering of the primary producing sands is predicted to occur within 10 years in some areas if current trends continue. The predicted dewatering will cause reduced yields and damage the aquifer. Modeling also shows that a concerted ground-water conservation management plan could enable sustainable use of the aquifer. Water-conservation measures and use of alternative sources that water managers in Union County (an area of high demand and growth in Arkansas' initial five-county Critical Ground-Water Area) think to be realistic options result in considerable recovery in water levels in the aquifer during a 30-year model simulation.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri994075","usgsCitation":"Hays, P.D., and Fugitt, D.T., 1999, The Sparta aquifer in Arkansas' critical ground-water areas: Response of the aquifer to supplying future water needs: U.S. Geological Survey Water-Resources Investigations Report 99-4075, 5 p., https://doi.org/10.3133/wri994075.","productDescription":"5 p.","numberOfPages":"5","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[],"links":[{"id":310509,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/1999/4075/report.pdf","text":"Report","linkFileType":{"id":1,"text":"pdf"}},{"id":158873,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/wri994075.jpg"}],"country":"United States","state":"Arkansas","otherGeospatial":"Sparta Aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -94.3505859375,\n              33.742612777346885\n            ],\n            [\n              -91.73583984374999,\n              36.527294814546245\n            ],\n            [\n              -89.93408203124999,\n              36.527294814546245\n            ],\n            [\n              -89.69238281249999,\n              36.13787471840729\n            ],\n            [\n              -90.28564453124999,\n              34.95799531086792\n            ],\n            [\n              -90.90087890624999,\n              34.10725639663118\n            ],\n            [\n              -91.20849609375,\n              33.33970700424026\n            ],\n            [\n              -91.23046875,\n              32.99023555965106\n            ],\n            [\n              -93.0322265625,\n              32.99023555965106\n            ],\n            [\n              -94.06494140625,\n              33.02708758002874\n            ],\n            [\n              -94.3505859375,\n              33.742612777346885\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4ac6e4b07f02db67a902","contributors":{"authors":[{"text":"Hays, Phillip D. 0000-0001-5491-9272 pdhays@usgs.gov","orcid":"https://orcid.org/0000-0001-5491-9272","contributorId":4145,"corporation":false,"usgs":true,"family":"Hays","given":"Phillip","email":"pdhays@usgs.gov","middleInitial":"D.","affiliations":[{"id":129,"text":"Arkansas Water Science Center","active":true,"usgs":true},{"id":369,"text":"Louisiana Water Science Center","active":true,"usgs":true},{"id":24708,"text":"Lower Mississippi-Gulf Water Science Center","active":true,"usgs":true}],"preferred":true,"id":198393,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Fugitt, D. Todd","contributorId":7835,"corporation":false,"usgs":true,"family":"Fugitt","given":"D.","email":"","middleInitial":"Todd","affiliations":[],"preferred":false,"id":198394,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":30233,"text":"wri994134 - 1999 - Regional water-level changes for the Cambrian-Ordovician aquifer in Iowa, 1975 to 1997","interactions":[],"lastModifiedDate":"2022-11-23T22:24:26.309098","indexId":"wri994134","displayToPublicDate":"2001-02-01T00:00:00","publicationYear":"1999","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":"99-4134","title":"Regional water-level changes for the Cambrian-Ordovician aquifer in Iowa, 1975 to 1997","docAbstract":"<p>The Cambrian-Ordovician aquifer is one of the principal sources of ground water for industry and municipalities in Iowa. The 1998 Iowa Administrative Code Chapter 52.4(3) states that water levels in the Cambrian-Ordovician aquifer are not to decline more than 200 feet from the 1977 baseline. The potentiometric-surface map of the Cambrian-Ordovician aquifer, known locally as the Jordan aquifer, prepared by the Iowa Department of Natural Resources-Geological Survey Bureau and the U.S. Geological Survey in 1978 using water levels measured during the 1975 water year is considered the 1977 baseline.</p>\n<p>For this study, water levels measured during the 1997 water year were used to construct a potentiometric-surface map that was compared to the 1977 baseline to describe water-level changes. Since 1975, water levels have declined in two areas of central and eastern Iowa. The maximum measured water-level decline is 133 feet in Johnson County in eastern Iowa. The estimated maximum rate of decline is 6 feet per year in Johnson County.</p>\n<p>Results from a two-layer, ground-water flow model of the Cambrian-Ordovician aquifer constructed by the U.S. Geological Survey in 1990 were compared to selected measured 1997 water levels. The difference between the simulated water levels and the 1997 maximum measured water levels ranges from 0 to about 150 feet, but most differences are less than 25 feet. The comparison indicates that the model may help estimate future water levels in the Cambrian-Ordovician aquifer as an aid in managing the resource.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Iowa City, IA","doi":"10.3133/wri994134","collaboration":"Prepared in cooperation with the Iowa Department Natural Resources, Geological Survey Bureau","usgsCitation":"Turco, M.J., 1999, Regional water-level changes for the Cambrian-Ordovician aquifer in Iowa, 1975 to 1997: U.S. Geological Survey Water-Resources Investigations Report 99-4134, iv, 11 p., https://doi.org/10.3133/wri994134.","productDescription":"iv, 11 p.","numberOfPages":"18","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":409624,"rank":3,"type":{"id":36,"text":"NGMDB Index 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