{"pageNumber":"1093","pageRowStart":"27300","pageSize":"25","recordCount":40845,"records":[{"id":50888,"text":"wri034091 - 2003 - Diazinon and chlorpyrifos loads in precipitation and urban and agricultural storm runoff during January and February 2001 in the San Joaquin River basin, California","interactions":[],"lastModifiedDate":"2012-02-02T00:11:13","indexId":"wri034091","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4091","title":"Diazinon and chlorpyrifos loads in precipitation and urban and agricultural storm runoff during January and February 2001 in the San Joaquin River basin, California","docAbstract":"The application of diazinon and chlorpyrifos on dormant orchards in 2001 in the San Joaquin River Basin was 24 percent less and 3.2 times more than applications in 2000, respectively. A total of 16 sites were sampled during January and February 2001 storm events: 7 river sites, 8 precipitation sites, and 1 urban storm drain. The seven river sites were sampled weekly during nonstorm periods and more frequently during storm runoff from a total of four storms. The monitoring of storm runoff at a city storm drain in Modesto, California, occurred simultaneously with the collection of precipitation samples from eight sites during a January 2001 storm event. The highest concentrations of diazinon occurred during the storm periods for all 16 sites, and the highest concentrations of chlorpyrifos occurred during weekly nonstorm sampling for the river sites and during the January storm period for the urban storm drain and precipitation sites. A total of 60 samples (41 from river sites, 10 from precipitation sites, and 9 from the storm drain site) had diazinon concentrations greater than 0.08 ?g/L, the concentration being considered by the California Department of Fish and Game as its criterion maximum concentration for the protection of aquatic habitats. A total of 18 samples (2 from river sites, 9 from precipitation sites, and 7 from the storm drain site) exceeded the equivalent California Department of Fish and Game guideline of 0.02 ?g/L for chlorpyrifos. The total diazinon load in the San Joaquin River near Vernalis during January and February 2001 was 23.8 pounds active ingredient; of this amount, 16.9 pounds active ingredient were transported by four storms, 1.06 pounds active ingredient were transported by nonstorm events, and 5.82 pounds active ingredient were considered to be baseline loads. The total chlorpyrifos load in the San Joaquin River near Vernalis during January and February 2001 was 2.17 pounds active ingredient; of this amount, 0.702 pound active ingredient was transported during the four storms, and 1.47 pounds active ingredient were considered as baseline load. The total January and February diazinon load in the San Joaquin River near Vernalis was 0.27 percent of dormant application; the total January and February chlorpyrifos load was 0.02 percent of dormant application. The precipitation samples collected during the January 2001 storm event were analyzed for pesticides to evaluate their potential contribution to pesticide loads in the study area. When the average concentrations of diazinon and chlorpyrifos in the precipitation samples were compared with concentrations in urban storm runoff samples, 68 percent of the diazinon concentration in the runoff could be accounted for in the precipitation. Chlorpyrifos, however, had average precipitation concentrations that were 2.5 times higher than what was detected in the runoff. Although no firm conclusions can be made from one storm event, preliminary results indicate that pesticides in precipitation can significantly contribute to pesticide loads in storm runoff.","language":"ENGLISH","doi":"10.3133/wri034091","usgsCitation":"Zamora, C., Kratzer, C.R., Majewski, M.S., and Knifong, D.L., 2003, Diazinon and chlorpyrifos loads in precipitation and urban and agricultural storm runoff during January and February 2001 in the San Joaquin River basin, California: U.S. Geological Survey Water-Resources Investigations Report 2003-4091, 56 p., https://doi.org/10.3133/wri034091.","productDescription":"56 p.","costCenters":[],"links":[{"id":4653,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034091","linkFileType":{"id":5,"text":"html"}},{"id":175584,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a9be4b07f02db65db5b","contributors":{"authors":[{"text":"Zamora, Celia 0000-0003-1456-4360 czamora@usgs.gov","orcid":"https://orcid.org/0000-0003-1456-4360","contributorId":1514,"corporation":false,"usgs":true,"family":"Zamora","given":"Celia","email":"czamora@usgs.gov","affiliations":[{"id":27111,"text":"National Water Quality Program","active":true,"usgs":true},{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":451,"text":"National Water Quality Assessment Program","active":true,"usgs":true}],"preferred":true,"id":242556,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Kratzer, Charles R.","contributorId":30619,"corporation":false,"usgs":true,"family":"Kratzer","given":"Charles","email":"","middleInitial":"R.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":242558,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Majewski, Michael S. majewski@usgs.gov","contributorId":440,"corporation":false,"usgs":true,"family":"Majewski","given":"Michael","email":"majewski@usgs.gov","middleInitial":"S.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":242555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Knifong, Donna L. dknifong@usgs.gov","contributorId":1517,"corporation":false,"usgs":true,"family":"Knifong","given":"Donna","email":"dknifong@usgs.gov","middleInitial":"L.","affiliations":[],"preferred":true,"id":242557,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":53139,"text":"wri034230 - 2003 - Conjunctive-use optimization model of the Mississippi River Valley alluvial aquifer of northeastern Arkansas","interactions":[],"lastModifiedDate":"2023-01-05T22:24:54.59801","indexId":"wri034230","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4230","title":"Conjunctive-use optimization model of the Mississippi River Valley alluvial aquifer of northeastern Arkansas","docAbstract":"<p>The Mississippi River Valley alluvial aquifer is a water-bearing assemblage of gravels and sands that underlies about 32,000 square miles of Missouri, Kentucky, Tennessee, Mississippi, Louisiana, and Arkansas. Because of the heavy demands placed on the aquifer, several large cones of depression over 100 feet deep have formed in the potentiometric surface, resulting in lower well yields and degraded water quality in some areas. A ground-water flow model of the alluvial aquifer was previously developed for an area covering 14,104 square miles, extending northeast from the Arkansas River into the northeast corner of Arkansas and parts of southeastern Missouri. The flow model showed that continued ground-water withdrawals at rates commensurate with those of 1997 could not be sustained indefinitely without causing water levels to decline below half the original saturated thickness of the aquifer.<br><br>To develop estimates of withdrawal rates that could be sustained in compliance with the constraints of critical ground-water area designation, conjunctive-use optimization modeling was applied to the flow model of the alluvial aquifer in northeastern Arkansas. Ground-water withdrawal rates form the basis for estimates of sustainable yield from the alluvial aquifer and from rivers specified within the alluvial aquifer model. A management problem was formulated as one of maximizing the sustainable yield from all ground-water and surface-water withdrawal cells within limits imposed by plausible withdrawal rates, and within specified constraints involving hydraulic head and streamflow. Steady-state flow conditions were selected because the maximized withdrawals are intended to represent sustainable yield of the system (a rate that can be maintained indefinitely).<br><br>Within the optimization model, 11 rivers are specified. Surface-water diversion rates that occurred in 2000 were subtracted from specified overland flow at the appropriate river cells. Included in these diversions were the planned diversions of 63,339,248 ft3/d for the Bayou Meto project area and 55,078,367 ft3/d for the Grand Prairie project area, which factor in an additional 30 and 40 percent transmission loss, respectively. Streamflow constraints were specified at all 1,165 river cells based on average 7-day minimum flows for 10 years. Sustainable yield for all rivers ranged from 0 (Current, Little Red, and Bayou Meto Rivers) to almost 5 billion cubic feet per day for the Arkansas River. Total sustainable yield from all rivers combined was 12.8 billion cubic feet per day, which represents a substantial source for supplementing ground water to meet the total water demand.<br><br>Sustainable-yield estimates are affected by the allowable upper limit on withdrawals from wells specified in the optimization model. Ground-water withdrawal rates were allowed to vary as much as 200 percent of the withdrawal rate in 1997. As the overall upper limit on withdrawals is increased, the sustainable yield generally increases. Tests with the optimization model show that without limits on pumping, wells adjacent to sources of water would have optimized withdrawal rates that were orders of magnitude larger than rates corresponding to those of 1997. The sustainable yield from ground water for the entire study area while setting the maximum upper limit as the amount withdrawn in 1997 is 360 million cubic feet per day, which is only about 57 percent of the amount withdrawn in 1997 (635.6 million cubic feet per day). Optimal sustainable yields from within the Bayou Meto irrigation project area and within the Grand Prairie irrigation project area are 18.1 and 9.1 million cubic feet per day, respectively, assuming a maximum allowable withdrawal rate equal to 1997 rates. These values of sustainable yield represent 35 and 30 percent respectively of the amount pumped from these project areas in 1997.<br><br>Unmet demand (defined as the difference between the optimized withdrawal rate or sustainable yield, and the anticipated demand) was calculated using different demand rates based on multiples of the 1997 withdrawal rate. Assuming that demand is the 1997 withdrawal rate, and that sustainable-yield estimates are those obtained using upper limits of withdrawal rates of 100-, 150-, and 200-percent of 1997 withdrawal rates, then the resulting unmet demand for the entire model area is 275.5, 190.9, and 110 million cubic feet per day, respectively. Whereas, if the demand is specified as 100-, 150-, and 200-percent of the 1997 withdrawal rate, and the sustainable-yield estimates remain the same, then the resulting unmet demand for the entire model area is 275.5, 508.8, and 745.8 million cubic feet per day, respectively. These unmet demands for ground water could be obtained from large sustainable surface-water withdrawals.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034230","usgsCitation":"Czarnecki, J.B., Clark, B.R., and Reed, T., 2003, Conjunctive-use optimization model of the Mississippi River Valley alluvial aquifer of northeastern Arkansas: U.S. Geological Survey Water-Resources Investigations Report 2003-4230, v, 29 p., https://doi.org/10.3133/wri034230.","productDescription":"v, 29 p.","costCenters":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"links":[{"id":177816,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":411458,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_62508.htm","linkFileType":{"id":5,"text":"html"}},{"id":4717,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034230/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Arkansas","otherGeospatial":"Mississippi River Valley alluvial aquifer","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"coordinates\": [\n          [\n            [\n              -89.0983,\n              36.6167\n            ],\n            [\n              -92.2306,\n              36.6167\n            ],\n            [\n              -92.2306,\n              33.9\n            ],\n            [\n              -89.0983,\n              33.9\n            ],\n            [\n              -89.0983,\n              36.6167\n            ]\n          ]\n        ],\n        \"type\": \"Polygon\"\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b13e4b07f02db6a31fe","contributors":{"authors":[{"text":"Czarnecki, John B. jczarnec@usgs.gov","contributorId":2555,"corporation":false,"usgs":true,"family":"Czarnecki","given":"John","email":"jczarnec@usgs.gov","middleInitial":"B.","affiliations":[],"preferred":true,"id":246737,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Clark, Brian R. 0000-0001-6611-3807 brclark@usgs.gov","orcid":"https://orcid.org/0000-0001-6611-3807","contributorId":1502,"corporation":false,"usgs":true,"family":"Clark","given":"Brian","email":"brclark@usgs.gov","middleInitial":"R.","affiliations":[{"id":38131,"text":"WMA - Office of Planning and Programming","active":true,"usgs":true}],"preferred":true,"id":246736,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Reed, Thomas B.","contributorId":76704,"corporation":false,"usgs":true,"family":"Reed","given":"Thomas B.","affiliations":[],"preferred":false,"id":246738,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":53140,"text":"wri034109 - 2003 - Recalibration of a ground-water flow model of the Mississippi River Valley alluvial aquifer of northeastern Arkansas, 1918-1998, with simulations of water levels caused by projected ground-water withdrawals through 2049","interactions":[],"lastModifiedDate":"2012-02-02T00:11:39","indexId":"wri034109","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4109","title":"Recalibration of a ground-water flow model of the Mississippi River Valley alluvial aquifer of northeastern Arkansas, 1918-1998, with simulations of water levels caused by projected ground-water withdrawals through 2049","docAbstract":"A digital model of the Mississippi River Valley alluvial aquifer in eastern Arkansas was used to simulate ground-water flow for the period from 1918 to 2049. The model results were used to evaluate effects on water levels caused by demand for ground water from the alluvial aquifer, which has increased steadily for the last 40 years. The model results showed that water currently (1998) is being withdrawn from the aquifer at rates greater than what can be sustained for the long term. The saturated thickness of the alluvial aquifer has been reduced in some areas resulting in dry wells, degraded water quality, decreased water availability, increased pumping costs, and lower well yields. \r\n\r\nThe model simulated the aquifer from a line just north of the Arkansas-Missouri border to south of the Arkansas River and on the east from the Mississippi River westward to the less permeable geologic units of Paleozoic age. The model consists of 2 layers, a grid of 184 rows by 156 columns, and comprises 14,118 active cells each measuring 1 mile on a side. It simulates time periods from 1918 to 1998 along with further time periods to 2049 testing different pumping scenarios. Model flux boundary conditions were specified for rivers, general head boundaries along parts of the western side of the model and parts of Crowleys Ridge, and a specified head boundary across the aquifer further north in Missouri. \r\n\r\nModel calibration was conducted for observed water levels for the years 1972, 1982, 1992, and 1998. The average absolute residual was 4.69 feet and the root-mean square error was 6.04 feet for the hydraulic head observations for 1998. \r\n\r\nHydraulic-conductivity values obtained during the calibration process were 230 feet per day for the upper layer and ranged from 230 to 730 feet per day for the lower layer with the maximum mean for the combined aquifer of 480 feet per day. Specific yield values were 0.30 throughout the model and specific storage values were 0.000001 inverse-feet throughout the model. Areally specified recharge rates ranged from 0 to about 30 inches and total recharge increased from 1972 to 1998 by a factor of about four. \r\n\r\nWater levels caused by projected ground-water withdrawals were simulated using the calibrated model. Simulations represented a period of 50 years into the future in three scenarios with either unchanged pumpage, pumpage increased by historic trends, or pumpage increased by historic trends except in two areas of the Grand Prairie. If pumping remains at 1997 rates, this produces extreme water-level declines (areas where model cells have gone dry or where the water level in the aquifer is equal to or less than the original saturated thickness, assuming confined conditions in the aquifer everywhere in the formation in predevelopment times) in the aquifer in two areas of the aquifer (one in the Grand Prairie area between the Arkansas and White Rivers and the other west of Crowleys Ridge along the Cache River) with about 400 square miles going dry. Increasing the pumping rates to that which would be projected using historic data led to increased extreme water-level declines in both areas with about 1,300 square miles going dry. Declines in both scenarios generally occurred most rapidly between 2009 and 2019. Reducing the pumping rates to 90 percent of that used for projected historic rates in areas between the Arkansas and White Rivers relating to two diversion projects of the U.S. Army Corps of Engineers and other agencies did little to decrease the extreme water-level declines. However, these pumpage reductions are small (amounting to about 16 percent of the reductions that could result from implementation of these diversion projects).","language":"ENGLISH","doi":"10.3133/wri034109","usgsCitation":"Reed, T., 2003, Recalibration of a ground-water flow model of the Mississippi River Valley alluvial aquifer of northeastern Arkansas, 1918-1998, with simulations of water levels caused by projected ground-water withdrawals through 2049: U.S. Geological Survey Water-Resources Investigations Report 2003-4109, vi, 58 p. : ill., maps (some col.) ; 28 cm. + 1 CD-ROM (4 3/4 in.), https://doi.org/10.3133/wri034109.","productDescription":"vi, 58 p. : ill., maps (some col.) ; 28 cm. + 1 CD-ROM (4 3/4 in.)","costCenters":[],"links":[{"id":4718,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034109/","linkFileType":{"id":5,"text":"html"}},{"id":177817,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a7ee4b07f02db648607","contributors":{"authors":[{"text":"Reed, Thomas B.","contributorId":76704,"corporation":false,"usgs":true,"family":"Reed","given":"Thomas B.","affiliations":[],"preferred":false,"id":246739,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":50862,"text":"wri034067 - 2003 - Comparison of two methods for delineating land use near monitoring wells used for assessing quality of shallow ground water","interactions":[],"lastModifiedDate":"2016-04-08T14:04:22","indexId":"wri034067","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4067","title":"Comparison of two methods for delineating land use near monitoring wells used for assessing quality of shallow ground water","docAbstract":"<p>Two methods were compared for delineating land use near shallow monitoring wells. These wells were used to assess the effects of agricultural cropland on the quality of recently recharged ground water in two sand and gravel aquifers located near land surface. The two methods for delineating land use near wells were (1) the sector method, which used potentiometric-surface maps to estimate average flow direction and a ground-water-flow model to estimate maximum length of contributing area to the monitoring well within an upgradient sector; and (2) the circle method, which used a 500- meter radius circle around the well based on a national empirical analysis. Land uses were compiled for 29 wells in each of two surficial aquifers in the Red River of the North Basin within the area defined by each method. Land use near each well was interpreted from orthorectified photographs and site inspection for both delineation methods. Land use near individual wells characterized by each method varied greatly, which can affect the results of statistical correlations between land use and water quality. Land use determined by the circle method related more closely to the land use for each entire study area. Land use determined by the sector method (within 200 meters from the wells) compared more favorably to ground-water quality based on nitrate concentrations. The maximum length of contributing areas to wells estimated in this study may be of value for other studies of unconsolidated sand and gravel aquifers with similar hydrogeological characteristics of permeability, water-table slopes, recharge, and depth to water. The additional effort required for estimating the model delineation of land use and land cover for the sector method must be weighed against the improved confidence in statistical correlation between land use and the quality of shallow ground water. Improved scientific confidence and understanding of relations between land use and quality of ground water may encourage more effective implementation of land and water management for protecting water quality</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri034067","collaboration":"Contribution from the National Water-Quality Assessment Program","usgsCitation":"Lorenz, D., Goldstein, R.M., Cowdery, T., and Stoner, J., 2003, Comparison of two methods for delineating land use near monitoring wells used for assessing quality of shallow ground water: U.S. Geological Survey Water-Resources Investigations Report 2003-4067, vi, 13 p., https://doi.org/10.3133/wri034067.","productDescription":"vi, 13 p.","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":392,"text":"Minnesota Water Science 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-95.46295166015625,\n              46.58718152732907\n            ],\n            [\n              -95.49316406249999,\n              46.592843997427394\n            ],\n            [\n              -95.50071716308592,\n              46.60841273995397\n            ],\n            [\n              -95.50827026367186,\n              46.62256226021187\n            ],\n            [\n              -95.51513671875,\n              46.64189395892874\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1fe4b07f02db6ab62b","contributors":{"authors":[{"text":"Lorenz, D. L.","contributorId":10776,"corporation":false,"usgs":true,"family":"Lorenz","given":"D. L.","affiliations":[],"preferred":false,"id":242478,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Goldstein, R. M.","contributorId":98305,"corporation":false,"usgs":true,"family":"Goldstein","given":"R.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":242481,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Cowdery, T.K.","contributorId":92658,"corporation":false,"usgs":true,"family":"Cowdery","given":"T.K.","affiliations":[],"preferred":false,"id":242480,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Stoner, J.D.","contributorId":58261,"corporation":false,"usgs":true,"family":"Stoner","given":"J.D.","email":"","affiliations":[],"preferred":false,"id":242479,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":53119,"text":"wri034090 - 2003 - Simulation of net infiltration and potential recharge using a distributed-parameter watershed model of the Death Valley region, Nevada and California","interactions":[],"lastModifiedDate":"2012-02-02T00:11:46","indexId":"wri034090","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4090","title":"Simulation of net infiltration and potential recharge using a distributed-parameter watershed model of the Death Valley region, Nevada and California","docAbstract":"This report presents the development and application of the distributed-parameter watershed model, INFILv3, for estimating the temporal and spatial distribution of net infiltration and potential recharge in the Death Valley region, Nevada and California. The estimates of net infiltration quantify the downward drainage of water across the lower boundary of the root zone and are used to indicate potential recharge under variable climate conditions and drainage basin characteristics. Spatial variability in recharge in the Death Valley region likely is high owing to large differences in precipitation, potential evapotranspiration, bedrock permeability, soil thickness, vegetation characteristics, and contributions to recharge along active stream channels. The quantity and spatial distribution of recharge representing the effects of variable climatic conditions and drainage basin characteristics on recharge are needed to reduce uncertainty in modeling ground-water flow. The U.S. Geological Survey, in cooperation with the Department of Energy, developed a regional saturated-zone ground-water flow model of the Death Valley regional ground-water flow system to help evaluate the current hydrogeologic system and the potential effects of natural or human-induced changes. Although previous estimates of recharge have been made for most areas of the Death Valley region, including the area defined by the boundary of the Death Valley regional ground-water flow system, the uncertainty of these estimates is high, and the spatial and temporal variability of the recharge in these basins has not been quantified.\r\n\r\n \r\n\r\nTo estimate the magnitude and distribution of potential recharge in response to variable climate and spatially varying drainage basin characteristics, the INFILv3 model uses a daily water-balance model of the root zone with a primarily deterministic representation of the processes controlling net infiltration and potential recharge. The daily water balance includes precipitation (as either rain or snow), snow accumulation, sublimation, snowmelt, infiltration into the root zone, evapotranspiration, drainage, water content change throughout the root-zone profile (represented as a 6-layered system), runoff (defined as excess rainfall and snowmelt) and surface water run-on (defined as runoff that is routed downstream), and net infiltration (simulated as drainage from the bottom root-zone layer). Potential evapotranspiration is simulated using an hourly solar radiation model to simulate daily net radiation, and daily evapotranspiration is simulated as an empirical function of root zone water content and potential evapotranspiration. The model uses daily climate records of precipitation and air temperature from a regionally distributed network of 132 climate stations and a spatially distributed representation of drainage basin characteristics defined by topography, geology, soils, and vegetation to simulate daily net infiltration at all locations, including stream channels with intermittent streamflow in response to runoff from rain and snowmelt. The temporal distribution of daily, monthly, and annual net infiltration can be used to evaluate the potential effect of future climatic conditions on potential recharge. \r\n\r\n \r\n\r\nThe INFILv3 model inputs representing drainage basin characteristics were developed using a geographic information system (GIS) to define a set of spatially distributed input parameters uniquely assigned to each grid cell of the INFILv3 model grid. The model grid, which was defined by a digital elevation model (DEM) of the Death Valley region, consists of 1,252,418 model grid cells with a uniform grid cell dimension of 278.5 meters in the north-south and east-west directions. The elevation values from the DEM were used with monthly regression models developed from the daily climate data to estimate the spatial distribution of daily precipitation and air temperature. The elevation values were also used to simulate atmosp","language":"ENGLISH","doi":"10.3133/wri034090","usgsCitation":"Hevesi, J.A., Flint, A.L., and Flint, L.E., 2003, Simulation of net infiltration and potential recharge using a distributed-parameter watershed model of the Death Valley region, Nevada and California: U.S. Geological Survey Water-Resources Investigations Report 2003-4090, 171 p., https://doi.org/10.3133/wri034090.","productDescription":"171 p.","costCenters":[],"links":[{"id":174710,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4677,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri034090/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4930e4b07f02db58123e","contributors":{"authors":[{"text":"Hevesi, Joseph A. 0000-0003-2898-1800 jhevesi@usgs.gov","orcid":"https://orcid.org/0000-0003-2898-1800","contributorId":1507,"corporation":false,"usgs":true,"family":"Hevesi","given":"Joseph","email":"jhevesi@usgs.gov","middleInitial":"A.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246690,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Flint, Alan L. 0000-0002-5118-751X aflint@usgs.gov","orcid":"https://orcid.org/0000-0002-5118-751X","contributorId":1492,"corporation":false,"usgs":true,"family":"Flint","given":"Alan","email":"aflint@usgs.gov","middleInitial":"L.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true},{"id":657,"text":"Western Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":246689,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Flint, Lorraine E. 0000-0002-7868-441X lflint@usgs.gov","orcid":"https://orcid.org/0000-0002-7868-441X","contributorId":1184,"corporation":false,"usgs":true,"family":"Flint","given":"Lorraine","email":"lflint@usgs.gov","middleInitial":"E.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246688,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":53203,"text":"ofr03477 - 2003 - A compilation of whole-rock and glass major-element geochemistry of Kilauea Volcano, Hawai'i, near-vent eruptive products: January 1983 through September 2001","interactions":[],"lastModifiedDate":"2014-03-13T16:20:45","indexId":"ofr03477","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-477","title":"A compilation of whole-rock and glass major-element geochemistry of Kilauea Volcano, Hawai'i, near-vent eruptive products: January 1983 through September 2001","docAbstract":"This report presents major-element geochemical data from 652 glasses (~6,520 analyses) and 795 whole-rock aliquots from 1,002 fresh samples of olivine-tholeiitic lava collected throughout the near-continuous eruption of Kïlauea Volcano, Hawai'i, from January 1983 through September 2001. The data presented herein provide a unique temporal compilation of lava geochemistry that best reflects variations of pre-eruptive magma compositions during prolonged rift-zone eruption. This document serves as a repository for geochemical data referred to in U.S. Geological Survey Professional Paper 1676 (Heliker, Swanson, and Takahashi, eds., 2003) which includes multidisciplinary research papers pertaining to the first twenty years of Puu Oo-Kupaianaha eruption activity. Details of eruption characteristics and nomenclature are provided in the introductory chapter of that volume (Heliker and Mattox, 2003). Geochemical relations among all or portions of this data set are depicted and interpreted by Thornber (2003), Thornber and others (2003) and Thornber (2001). Trace element compositions and Nd, Sr and Pb isotopic analyses of representative samples of this select eruption suite will be provided in a separate and complimentary open file report. From 1983 to October 2001, approximately 2,500 eruption samples were collected and archived by the U.S. Geological Survey’s Hawaiian Volcano Observatory (HVO). Geochemical data for 1,002 of these samples are included here. Previous reports present bulk-lava major- element chemistry for eruption samples collected from 1983 to 1986 and from 1990 to 1994 (Neal and others, 1988 and Mangan and others, 1995, respectively). Major element glass chemistry and thermometry data for samples collected from 1983 to 1994 is reported by Helz and Hearn (1998) and whole-rock and glass chemistry for samples collected from September 1994 to October 2001 is provided by Thornber and others (2002). This report is a compilation of previously published data along with unpublished whole-rock data for the 1986–1990 eruptive interval (episode 48, see Heliker and Mattox, 2003). The geochemical data in this report is mostly limited to well-quenched samples collected at or near their respective vents. The samples include tephra and spatter, in addition to lava dipped from lava lakes, lava tubes, and surface lava flows. The details of sample collection techniques as described by Thornber and others (2002) are generally applicable for this entire sampling interval.\n\nSpecifically excluded from this database are samples of distal surface flows, many of which were collected for topical studies of emplacement dynamics (for example, Cashman and others, 1999). Samples of sluggish or crystal-laden tube flows collected during eruptive pauses were also excluded, because they bear visual, petrographic and geochemical evidence for crystal accumulation during surface-flow stagnation. In addition, the pre-1992 whole-rock major element data reported here has been corrected to compensate for minor analytical discrepancies between pre- and post-1991 XRF analyses. These discrepancies resulted from a change in instrumentation at the USGS Denver analytical laboratories. This select suite of time-constrained geochemical data is suitable for constructing petrologic models of pre-eruptive magmatic processes associated with prolong rift zone eruption of Hawaiian shield volcanoes.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr03477","usgsCitation":"Thornber, C.R., Hon, K., Heliker, C., and Sherrod, D.A., 2003, A compilation of whole-rock and glass major-element geochemistry of Kilauea Volcano, Hawai'i, near-vent eruptive products: January 1983 through September 2001: U.S. Geological Survey Open-File Report 2003-477, Report: 8 p.; Data, https://doi.org/10.3133/ofr03477.","productDescription":"Report: 8 p.; Data","numberOfPages":"8","temporalStart":"1983-01-01","temporalEnd":"2001-09-30","costCenters":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"links":[{"id":177292,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr03477.jpg"},{"id":4795,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/0477/","linkFileType":{"id":5,"text":"html"}},{"id":283972,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0477/pdf/of03-477.pdf"},{"id":283973,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0477/OF03-477data.xls"}],"country":"United States","state":"Hawai'i","otherGeospatial":"Kilauea Volcano","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -155.305533,19.38969 ], [ -155.305533,19.443418 ], [ -155.232799,19.443418 ], [ -155.232799,19.38969 ], [ -155.305533,19.38969 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b23e4b07f02db6ae139","contributors":{"authors":[{"text":"Thornber, Carl R. cthornber@usgs.gov","contributorId":2016,"corporation":false,"usgs":true,"family":"Thornber","given":"Carl","email":"cthornber@usgs.gov","middleInitial":"R.","affiliations":[{"id":157,"text":"Cascades Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":246897,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Hon, Ken","contributorId":19163,"corporation":false,"usgs":true,"family":"Hon","given":"Ken","affiliations":[],"preferred":false,"id":246898,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Heliker, Christina","contributorId":53353,"corporation":false,"usgs":true,"family":"Heliker","given":"Christina","affiliations":[{"id":336,"text":"Hawaiian Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":246899,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Sherrod, David A.","contributorId":53458,"corporation":false,"usgs":true,"family":"Sherrod","given":"David","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":246900,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":53240,"text":"ofr03495 - 2003 - Magnetotelluric data release for locating the Archean/Proterozoic suture zone, east-central Tooele County, Utah","interactions":[],"lastModifiedDate":"2012-02-02T00:11:42","indexId":"ofr03495","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-495","title":"Magnetotelluric data release for locating the Archean/Proterozoic suture zone, east-central Tooele County, Utah","docAbstract":"Many sediment-hosted gold deposits occur along linear trends in the Great Basin. The distribution and genesis of these deposits in the Great Basin is not fully understood. In general, most models agree that regional structures played an important role in the spatial distribution of these deposits (e.g. Arehart and others, 1993; Ilchik and Barton, 1997; Radtke, 1985; Shawe, 1991; Sillitoe and Bonham, 1990; Tosdal, 1998). To investigate crustal structures that may be related to the genesis of gold deposits in the Great Basin, a regional south-north profile of magnetotelluric (MT) soundings was acquired in 2003. Resistivity modeling of the MT data can be used to investigate buried structures or sutures that may have influenced subsequent tectonism, sedimentation, and regional fluid flow. The goal of this survey is to infer the location of the Archean/Proterozoic suture zone in east-central Tooele County, Utah. The purpose of this report is to release the MT sounding data; no interpretation of the data is included.","language":"ENGLISH","doi":"10.3133/ofr03495","usgsCitation":"Williams, J.M., and Rodriguez, B.D., 2003, Magnetotelluric data release for locating the Archean/Proterozoic suture zone, east-central Tooele County, Utah: U.S. Geological Survey Open-File Report 2003-495, 119 p., https://doi.org/10.3133/ofr03495.","productDescription":"119 p.","costCenters":[],"links":[{"id":438875,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7WQ02RM","text":"USGS data release","linkHelpText":"Magnetotelluric sounding data, stations 1 to 12, East-Central Tooele County, Utah, 2003"},{"id":178220,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4893,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr-03-495/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db64945a","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":247022,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rodriguez, Brian D. 0000-0002-2263-611X brod@usgs.gov","orcid":"https://orcid.org/0000-0002-2263-611X","contributorId":836,"corporation":false,"usgs":true,"family":"Rodriguez","given":"Brian","email":"brod@usgs.gov","middleInitial":"D.","affiliations":[{"id":211,"text":"Crustal Geophysics and Geochemistry Science Center","active":true,"usgs":true}],"preferred":true,"id":247021,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":53244,"text":"ofr03486 - 2003 - Intrusive rock database for the Digital Geologic Map of Utah","interactions":[],"lastModifiedDate":"2023-06-22T16:46:22.151688","indexId":"ofr03486","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-486","title":"Intrusive rock database for the Digital Geologic Map of Utah","docAbstract":"Digital geologic maps offer the promise of rapid and powerful answers to geologic questions using Geographic Information System software (GIS). Using modern GIS and database methods, a specialized derivative map can be easily prepared. An important limitation can be shortcomings in the information provided in the database associated with the digital map, a database which is often based on the legend of the original map. The purpose of this report is to show how the compilation of additional information can, when prepared as a database that can be used with the digital map, be used to create some types of derivative maps that are not possible with the original digital map and database.\n\nThis Open-file Report consists of computer files with information about intrusive rocks in Utah that can be linked to the Digital Geologic Map of Utah (Hintze et al., 2000), an explanation of how to link the databases and map, and a list of references for the databases. The digital map, which represents the 1:500,000-scale Geologic Map of Utah (Hintze, 1980), can be obtained from the Utah Geological Survey (Map 179DM). Each polygon in the map has a unique identification number. We selected the polygons identified on the geologic map as intrusive rock, and constructed a database (UT_PLUT.xls) that classifies the polygons into plutonic map units (see tables). These plutonic map units are the key information that is used to relate the compiled information to the polygons on the map.\n\nThe map includes a few polygons that were coded as intrusive on the state map but are largely volcanic rock; in these cases we note the volcanic rock names (rhyolite and latite) as used in the original sources Some polygons identified on the digital state map as intrusive rock were misidentified; these polygons are noted in a separate table of the database, along with some information about their true character.\n\nFields may be empty because of lack of information from references used or difficulty in finding information. The information in the database is from a variety of sources, including geologic maps at scales ranging from 1:500,000 to 1:24,000, and thesis monographs. The references are shown twice: alphabetically and by region.\n\nThe digital geologic map of Utah (Hintze and others, 2000) classifies intrusive rocks into only 3 categories, distinguished by age. They are: Ti, Tertiary intrusive rock; Ji, Upper to Middle Jurassic granite to quartz monzonite; and pCi, Early Proterozoic to Late Archean intrusive rock. Use of the tables provided in this report will permit selection and classification of those rocks by lithology and age.\n\nThis database is a pilot study by the Survey and Analysis Project of the U.S. Geological Survey to characterize igneous rocks and link them to a digital map. The database, and others like it, will evolve as the project continues and other states are completed. We release this version now as an example, as a reference, and for those interested in Utah plutonic rocks.","language":"English","publisher":"U.S. Geological","publisherLocation":"Reston, VA","doi":"10.3133/ofr03486","usgsCitation":"Nutt, C., and Ludington, S., 2003, Intrusive rock database for the Digital Geologic Map of Utah: U.S. Geological Survey Open-File Report 2003-486, 41 p., https://doi.org/10.3133/ofr03486.","productDescription":"41 p.","numberOfPages":"41","costCenters":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"links":[{"id":178224,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/ofr03486.jpg"},{"id":283979,"rank":2,"type":{"id":7,"text":"Companion Files"},"url":"https://pubs.usgs.gov/of/2003/0486/rad_age.txt"},{"id":283978,"rank":3,"type":{"id":7,"text":"Companion 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 \"}}]}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b1be4b07f02db6a8afe","contributors":{"authors":[{"text":"Nutt, C.J.","contributorId":52577,"corporation":false,"usgs":true,"family":"Nutt","given":"C.J.","email":"","affiliations":[],"preferred":false,"id":247037,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ludington, Steve","contributorId":106848,"corporation":false,"usgs":true,"family":"Ludington","given":"Steve","affiliations":[],"preferred":false,"id":247038,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":53248,"text":"ofr03475 - 2003 - Emergency Assessment of Debris-Flow Hazards from Basins Burned by the Grand Prix and Old Fires of 2003, Southern California","interactions":[],"lastModifiedDate":"2012-02-02T00:11:43","indexId":"ofr03475","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-475","title":"Emergency Assessment of Debris-Flow Hazards from Basins Burned by the Grand Prix and Old Fires of 2003, Southern California","docAbstract":"These maps present preliminary assessments of the probability of debris-flow activity and estimates of peak discharges that can potentially be generated by debris flows issuing from basins burned by the Old and Grand Prix Fires of October 2003 in southern California in response to the 25-year, 10-year, and 2-year recurrence, 1-hour duration rain storms. The probability maps are based on the application of a logistic multiple regression model that describes the percent chance of debris-flow production from an individual basin as function of burned extent, soil properties, basin gradients and storm rainfall. The peak discharge maps are based on application of a multiple-regression model that can be used to estimate debris-flow peak discharge at a basin outlet as a function of basin gradient, burn extent, and storm rainfall. Probabilities of debris-flow occurrence range between 0 and 85% and estimates of debris flow peak discharges range between 460 and 5,900 ft3/s (13 to 167 m3/s). These maps are intended to identify those basins that are most prone to the largest debris-flow events and provide critical information for the preliminary design of mitigation measures and for the planning of evacuation timing and routes.","language":"ENGLISH","doi":"10.3133/ofr03475","usgsCitation":"Cannon, S.H., Gartner, J.E., Rupert, M.G., Michael, J.A., Djokic, D., and Sreedhar, S., 2003, Emergency Assessment of Debris-Flow Hazards from Basins Burned by the Grand Prix and Old Fires of 2003, Southern California: U.S. Geological Survey Open-File Report 2003-475, 1 over-size sheet, https://doi.org/10.3133/ofr03475.","productDescription":"1 over-size sheet","costCenters":[],"links":[{"id":177078,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4927,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/ofr-03-475/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a19e4b07f02db60590e","contributors":{"authors":[{"text":"Cannon, Susan H. cannon@usgs.gov","contributorId":1019,"corporation":false,"usgs":true,"family":"Cannon","given":"Susan","email":"cannon@usgs.gov","middleInitial":"H.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":247046,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Gartner, Joseph E. jegartner@usgs.gov","contributorId":1876,"corporation":false,"usgs":true,"family":"Gartner","given":"Joseph","email":"jegartner@usgs.gov","middleInitial":"E.","affiliations":[{"id":300,"text":"Geologic Hazards Science Center","active":true,"usgs":true}],"preferred":true,"id":247048,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Rupert, Michael G. mgrupert@usgs.gov","contributorId":1194,"corporation":false,"usgs":true,"family":"Rupert","given":"Michael","email":"mgrupert@usgs.gov","middleInitial":"G.","affiliations":[{"id":191,"text":"Colorado Water Science Center","active":true,"usgs":true}],"preferred":true,"id":247047,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Michael, John A. jmichael@usgs.gov","contributorId":1877,"corporation":false,"usgs":true,"family":"Michael","given":"John","email":"jmichael@usgs.gov","middleInitial":"A.","affiliations":[{"id":218,"text":"Denver Federal Center","active":false,"usgs":true}],"preferred":false,"id":247049,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Djokic, Dean","contributorId":12912,"corporation":false,"usgs":true,"family":"Djokic","given":"Dean","email":"","affiliations":[],"preferred":false,"id":247051,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Sreedhar, Sreeresh","contributorId":8163,"corporation":false,"usgs":true,"family":"Sreedhar","given":"Sreeresh","email":"","affiliations":[],"preferred":false,"id":247050,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}}
,{"id":53261,"text":"ofr03375 - 2003 - Ecosystem history of southern and central Biscayne Bay: Summary report on sediment core analyses","interactions":[],"lastModifiedDate":"2025-04-10T15:56:16.625538","indexId":"ofr03375","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-375","title":"Ecosystem history of southern and central Biscayne Bay: Summary report on sediment core analyses","docAbstract":"<p>During the last century, the environs of Biscayne Bay have been greatly affected by anthropogenic alteration through urbanization of the Miami/Dade County area. The sources, timing, delivery, and quality of freshwater flow into the Bay have been changed by construction of a complex canal system that controls movement of water throughout south Florida. Changes in shoreline and sub-aquatic vegetation and marine organisms have been observed and changes in water delivery are believed to be the cause.</p><p>Current restoration goals are attempting to restore natural flow of fresh water into Biscayne and Florida Bays and to restore the natural fauna and flora, but first we need to determine pre-alteration baseline conditions in order to establish targets and performance measures for restoration. This research is part of an ongoing study designed to address the needs of the Biscayne Bay Coastal Wetlands Project (BBCW) of the Comprehensive Everglades Restoration Plan (CERP).</p><p>By establishing the natural patterns of temporal change in salinity, water quality, vegetation, and benthic fauna in Biscayne Bay and the nearby wetlands over the last 100- 500 years the USGS, in collaboration with our partners, will provide the data necessary to set realistic targets to achieve the BBCW Project goals.</p><p>Six cores from three sites in Biscayne Bay were collected in April 2002 for multidisciplinary multi-proxy analyses. This report details the results of these analyses and compares the 2002 cores to cores collected in 1997. The following are our significant findings to date:</p><ul><li>The salinity of central Biscayne Bay has become increasingly marine and increasingly stable over the last 100 years.</li><ul><li>At No Name Bank, prior to approximately 1915, the inter-decadal and decadal salinity fluctuations appear to have been greater than after 1915 when salinities stabilized at that site.</li><li>Continental shelf/open marine influence on the sites has increased during the 20th century.</li><li>There is no indication of inter-decadal salinity extremes or periods of hypersalinity.</li><li>Freshwater and mesohaline salinities have had a minor influence on No Name bank throughout the time of deposition. At Featherbed Bank, the influence is reduced to mesohaline salinities.</li></ul><li>Card Bank has experienced relatively large swings in salinity over multi-decadal and centennial timescales, compared to central Biscayne Bay, but marine influence at the site has increased over the last century.</li><li>Indications of regional scale patterns have been found, especially in the shell chemistry data and the pollen assemblages. These regional patterns indicate that the changes are not site specific and may not be limited to Biscayne Bay.</li><li>Sub-aquatic vegetation has undergone bay-wide patterns of change over the last 200-500 years, which includes expansion prior to 1900 and declines during the last century in central Biscayne Bay.</li><li><ul><li>Thalassia appears to have increased at all three core sites sometime between 1550 and 1750 AD.</li><li>A decline in Thalassia appears to have occurred after 1950 at No Name Bank and slightly earlier in the 20th century at Featherbed Bank.</li><li>Card Bank does not appear to have experienced any declines in vegetation on an inter-decadal scale during the 20th century.</li></ul></li><li>Molluscan faunal abundance and diversity have undergone significant changes in central Biscayne Bay.</li><li>Indicators of increased organic-rich sediments at No Name occur between 1869 to 1888 and between the 1930’s to 1975. These changes may correlate to human activities (settlement, population growth).</li></ul><p>These findings represent a first step towards the project’s goal to reconstruct the history of Biscayne Bay and they provide us with a working model to be tested at other sites. It is clear from our findings that Biscayne Bay has been a dynamic environment over the last 500 years, with natural changes occurring in salinity and benthic habitats. However, several significant changes have occurred in the 20th century: 1) increased stabilization of marine salinities; 2) declines in seagrass in central Biscayne Bay; 3) dramatic changes in molluscan abundance and diversity in central Biscayne Bay. The question remains - how do we better differentiate natural cycles of change from anthropogenic change within these observed trends?</p><p>The preliminary implications from our research are that changes in salinity and benthic habitats have occurred naturally in Biscayne Bay on inter-decadal to centennial scales, perhaps due to climatic changes, changes in sea level, bank migrations, or a combination of factors. However, further work needs to be done to determine which components of change in the 20th century are human-induced and which are natural. By examining the historical records preserved in the sediments of Biscayne Bay, we can provide restoration trust agencies with the information necessary to set realistic targets and performance measures for Biscayne Bay.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ofr03375","usgsCitation":"Ecosystem history of southern and central Biscayne Bay; summary report on sediment core analyses; 2003; OFR; 2003-375; Wingard, G. L.; Cronin, T. M.; Dwyer, G. S.; Ishman, S. E.; Willard, D. A.; Holmes, C. W.; Bernhardt, C. E.; Williams, C. P.; Marot, M. E.; Murray, J. B.; Stamm, R. G.; Murray, J. H.; Budet, C.","productDescription":"111 p.","costCenters":[{"id":27821,"text":"Caribbean-Florida Water Science Center","active":true,"usgs":true}],"links":[{"id":4938,"rank":2,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0375/ofr03-375.pdf","text":"Report","size":"1.26 MB","linkFileType":{"id":1,"text":"pdf"},"description":"OFR 03-375"},{"id":174304,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2003/0375/coverthb.jpg"}],"country":"United States","state":"Florida","otherGeospatial":"Biscayne Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -80.45837402343749,\n              25.152743274854956\n            ],\n            [\n              -80.06286621093749,\n              25.152743274854956\n            ],\n            [\n              -80.06286621093749,\n              26.21212691288088\n            ],\n            [\n              -80.45837402343749,\n              26.21212691288088\n            ],\n            [\n              -80.45837402343749,\n              25.152743274854956\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","contact":"<p><a href=\"https://www.usgs.gov/centers/car-fl-water\" data-mce-href=\"https://www.usgs.gov/centers/car-fl-water\">Caribbean-Florida Water Science Center</a><br>U.S. Geological Survey<br>3321 College Avenue<br>Davie, FL 33314</p><p><a href=\"../contact\" data-mce-href=\"../contact\">Contact Pubs Warehouse</a></p>","publishedDate":"2003-09-15","noUsgsAuthors":false,"publicationDate":"2003-09-15","publicationStatus":"PW","scienceBaseUri":"4f4e4a4be4b07f02db62597a","contributors":{"authors":[{"text":"Wingard, G. Lynn 0000-0002-3833-5207 lwingard@usgs.gov","orcid":"https://orcid.org/0000-0002-3833-5207","contributorId":605,"corporation":false,"usgs":true,"family":"Wingard","given":"G.","email":"lwingard@usgs.gov","middleInitial":"Lynn","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":247102,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Cronin, Thomas M. 0000-0002-2643-0979 tcronin@usgs.gov","orcid":"https://orcid.org/0000-0002-2643-0979","contributorId":2579,"corporation":false,"usgs":true,"family":"Cronin","given":"Thomas","email":"tcronin@usgs.gov","middleInitial":"M.","affiliations":[{"id":40020,"text":"Florence Bascom Geoscience Center","active":true,"usgs":true},{"id":243,"text":"Eastern Geology and Paleoclimate Science Center","active":true,"usgs":true}],"preferred":true,"id":247097,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Dwyer, G. S.","contributorId":39951,"corporation":false,"usgs":true,"family":"Dwyer","given":"G.","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":247096,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Ishman, S. E.","contributorId":20346,"corporation":false,"usgs":true,"family":"Ishman","given":"S. E.","affiliations":[],"preferred":false,"id":247093,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Willard, Debra  A. 0000-0003-4878-0942","orcid":"https://orcid.org/0000-0003-4878-0942","contributorId":85982,"corporation":false,"usgs":true,"family":"Willard","given":"Debra  A.","affiliations":[],"preferred":false,"id":247103,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Holmes, C. W.","contributorId":36076,"corporation":false,"usgs":true,"family":"Holmes","given":"C.","email":"","middleInitial":"W.","affiliations":[],"preferred":false,"id":247095,"contributorType":{"id":1,"text":"Authors"},"rank":6},{"text":"Bernhardt, C.E.","contributorId":65554,"corporation":false,"usgs":true,"family":"Bernhardt","given":"C.E.","email":"","affiliations":[],"preferred":false,"id":247100,"contributorType":{"id":1,"text":"Authors"},"rank":7},{"text":"Williams, C.P.","contributorId":25410,"corporation":false,"usgs":true,"family":"Williams","given":"C.P.","email":"","affiliations":[],"preferred":false,"id":247094,"contributorType":{"id":1,"text":"Authors"},"rank":8},{"text":"Marot, M. E.","contributorId":7733,"corporation":false,"usgs":true,"family":"Marot","given":"M.","email":"","middleInitial":"E.","affiliations":[],"preferred":false,"id":247092,"contributorType":{"id":1,"text":"Authors"},"rank":9},{"text":"Murray, J.B.","contributorId":58858,"corporation":false,"usgs":true,"family":"Murray","given":"J.B.","email":"","affiliations":[],"preferred":false,"id":247098,"contributorType":{"id":1,"text":"Authors"},"rank":10},{"text":"Stamm, R.G.","contributorId":59476,"corporation":false,"usgs":true,"family":"Stamm","given":"R.G.","email":"","affiliations":[],"preferred":false,"id":247099,"contributorType":{"id":1,"text":"Authors"},"rank":11},{"text":"Murray, J.H.","contributorId":6716,"corporation":false,"usgs":true,"family":"Murray","given":"J.H.","email":"","affiliations":[],"preferred":false,"id":247091,"contributorType":{"id":1,"text":"Authors"},"rank":12},{"text":"Budet, C.","contributorId":67772,"corporation":false,"usgs":true,"family":"Budet","given":"C.","affiliations":[],"preferred":false,"id":247101,"contributorType":{"id":1,"text":"Authors"},"rank":13}]}}
,{"id":53462,"text":"wri034238 - 2003 - Water quality and the effects of changes in phosphorus loading, Red Cedar Lakes, Barron and Washburn Counties, Wisconsin","interactions":[],"lastModifiedDate":"2018-02-06T12:31:32","indexId":"wri034238","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4238","title":"Water quality and the effects of changes in phosphorus loading, Red Cedar Lakes, Barron and Washburn Counties, Wisconsin","docAbstract":"<p>The Red Cedar Lakes consist of three mainstem lakes (Balsam, Hemlock and Red Cedar) on the Red Cedar River in Barron and Washburn Counties, Wisconsin. These lakes are productive because of high phosphorus loading, and classified as mesotrophic to eutrophic. Because of concerns that the water quality of these lakes was degrading, three cooperative studies were conducted by the U.S. Geological Survey between 1993 and 2003. As part of these studies, water quality in the lakes was documented in 1993?94, 1996?97, and 2000?01, and water and phosphorus budgets were constructed for water year 2001. Historical water-quality data indicated that the lakes have changed little since the late 1980s. A detailed phosphorus budget indicated that most of the 14,100 pounds of phosphorus input to the lakes during 2001 came from the upstream lakes, streams draining relatively undeveloped land upstream of Hemlock Lake, and ground water. Simulation results from two water-quality models (BATHTUB and WiLMS) indicated that about a 50-percent reduction in phosphorus loading from that measured in 2001 is required for all three lakes to be classified as mesotrophic; therefore, appreciable improvements in the water quality would require improvements in the water quality of the upstream lakes. Although the water quality of the lakes has not changed appreciably in recent years and major improvements in water quality are unlikely without major improvements to upstream lakes, continued efforts to protect the susceptible watershed are necessary to maintain the current level of water quality.</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034238","collaboration":"Prepared in cooperation with the Red Cedar Lakes Association","usgsCitation":"Robertson, D.M., Rose, W., and Garn, H.S., 2003, Water quality and the effects of changes in phosphorus loading, Red Cedar Lakes, Barron and Washburn Counties, Wisconsin: U.S. Geological Survey Water-Resources Investigations Report 2003-4238, viii, 42 p., https://doi.org/10.3133/wri034238.","productDescription":"viii, 42 p.","numberOfPages":"45","onlineOnly":"N","additionalOnlineFiles":"N","costCenters":[{"id":677,"text":"Wisconsin Water Science Center","active":true,"usgs":true}],"links":[{"id":177582,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":4680,"rank":3,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034238/","linkFileType":{"id":5,"text":"html"}},{"id":311302,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/wrir-03-4238/pdf/wrir03-4238.pdf"}],"country":"United States","state":"Wisconsin","county":"Barron County, Washburn County","otherGeospatial":"Balsam Lake, Birch Lake, Hemlock Lake, Lake Chetac, Red Cedar Lake","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -91.57379150390625,\n              45.77853851177791\n            ],\n            [\n              -91.62460327148438,\n              45.727753102939744\n            ],\n            [\n              -91.65000915527342,\n              45.69994529846052\n            ],\n            [\n              -91.64932250976561,\n              45.58473142874248\n            ],\n            [\n              -91.63352966308594,\n              45.5414651417455\n            ],\n            [\n              -91.58340454101562,\n              45.52511142831731\n            ],\n            [\n              -91.53945922851562,\n              45.51693278828882\n            ],\n            [\n              -91.41998291015625,\n              45.525592487765635\n            ],\n            [\n              -91.38221740722656,\n              45.53184588624152\n            ],\n            [\n              -91.3300323486328,\n              45.545793269880924\n            ],\n            [\n              -91.30943298339844,\n              45.599146119878384\n            ],\n            [\n              -91.26411437988281,\n              45.665406015367004\n            ],\n            [\n              -91.28677368164062,\n              45.7632119374188\n            ],\n            [\n              -91.35063171386719,\n              45.78524256369046\n            ],\n            [\n              -91.49894714355469,\n              45.787636672581385\n            ],\n            [\n              -91.5435791015625,\n              45.78524256369046\n            ],\n            [\n              -91.57379150390625,\n              45.77853851177791\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e490de4b07f02db56e1b5","contributors":{"authors":[{"text":"Robertson, Dale M. 0000-0001-6799-0596 dzrobert@usgs.gov","orcid":"https://orcid.org/0000-0001-6799-0596","contributorId":150760,"corporation":false,"usgs":true,"family":"Robertson","given":"Dale","email":"dzrobert@usgs.gov","middleInitial":"M.","affiliations":[{"id":37947,"text":"Upper Midwest Water Science Center","active":true,"usgs":true}],"preferred":true,"id":247661,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Rose, William J. wjrose@usgs.gov","contributorId":2182,"corporation":false,"usgs":true,"family":"Rose","given":"William J.","email":"wjrose@usgs.gov","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":247662,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Garn, Herbert S. hsgarn@usgs.gov","contributorId":2592,"corporation":false,"usgs":true,"family":"Garn","given":"Herbert","email":"hsgarn@usgs.gov","middleInitial":"S.","affiliations":[{"id":595,"text":"U.S. Geological Survey","active":false,"usgs":true}],"preferred":false,"id":247663,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":53466,"text":"wri034258 - 2003 - Ground-water flow and saline water in the shallow aquifer system of the southern watersheds of Virginia Beach, Virginia","interactions":[],"lastModifiedDate":"2012-02-02T00:11:42","indexId":"wri034258","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4258","title":"Ground-water flow and saline water in the shallow aquifer system of the southern watersheds of Virginia Beach, Virginia","docAbstract":"Population and tourism continues to grow in Virginia Beach, Virginia, but the supply of freshwater is limited.\r\nA pipeline from Lake Gaston supplies water for northern Virginia Beach, but ground water is widely used to\r\nwater lawns in the north, and most southern areas of the city rely solely on ground water. Water from\r\ndepths greater than 60 meters generally is too saline to drink. Concentrations of chloride, iron, and manganese\r\nexceed drinking-water standards in some areas. The U.S. Geological Survey, in cooperation with the city of\r\nVirginia Beach, Department of Public Utilities, investigated the shallow aquifer system of the southern\r\nwatersheds to determine the distribution of fresh ground water, its potential uses, and its susceptibility to\r\ncontamination. \r\n\r\nAquifers and confining units of the southern watersheds were delineated and chloride concentrations in the\r\naquifers and confining units were contoured. A ground-water-flow and solute-transport model of the shallow\r\naquifer system reached steady state with regard to measured chloride concentrations after 31,550 years of\r\nfreshwater recharge. Model simulations indicate that if freshwater is found in permeable sediments of the\r\nYorktown-Eastover aquifer, such a well field could supply freshwater, possibly for decades, but eventually the\r\nwater would become more saline. The rate of saline-water intrusion toward the well field would depend on the\r\nrate of pumping, aquifer properties, and on the proximity of the well field to saline water sources. The\r\nsteady-state, ground-water-flow model also was used to simulate drawdowns around two hypothetical well\r\nfields and drawdowns around two hypothetical open-pit mines. The chloride concentrations simulated in the\r\nmodel did not approximate the measured concentrations for some wells, indicating sites where local\r\nhydrogeologic units or unit properties do not conform to the simple hydrogeology of the model.\r\n\r\nThe Columbia aquifer, the Yorktown confining unit, and the Yorktown-Eastover aquifer compose the\r\nhydrogeologic units of the shallow aquifer system of Virginia Beach. The Columbia and Yorktown-Eastover\r\naquifers are poorly confined throughout most of the southern watersheds of Virginia Beach. The\r\nfreshwater-to-saline-water distribution probably is in a dynamic equilibrium throughout most of the shallow\r\naquifer system. Freshwater flows continually down and away from the center of the higher altitudes to mix with\r\nsaline water from the tidal rivers, bays, salt marshes, and the Atlantic Ocean. Fresh ground water from the\r\nColumbia aquifer also leaks down through the Yorktown confining unit into the upper half of the Yorktown-Eastover\r\naquifer and flows within the Yorktown-Eastover above saline water in the lower half of the aquifer. Ground-water\r\nrecharge is minimal in much of the southern watersheds because the land surface generally is low and flat.","language":"ENGLISH","doi":"10.3133/wri034258","usgsCitation":"Smith, B.S., 2003, Ground-water flow and saline water in the shallow aquifer system of the southern watersheds of Virginia Beach, Virginia: U.S. Geological Survey Water-Resources Investigations Report 2003-4258, 73 p., https://doi.org/10.3133/wri034258.","productDescription":"73 p.","costCenters":[],"links":[{"id":4684,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/wri034258/","linkFileType":{"id":5,"text":"html"}},{"id":177663,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b17e4b07f02db6a61d2","contributors":{"authors":[{"text":"Smith, Barry S.","contributorId":21532,"corporation":false,"usgs":true,"family":"Smith","given":"Barry","email":"","middleInitial":"S.","affiliations":[],"preferred":false,"id":247667,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":53557,"text":"wri034193 - 2003 - Simulation of streamflow and water quality in the Christina River subbasin and overview of simulations in other subbasins of the Christina River Basin, Pennsylvania, Maryland, and Delaware, 1994-98","interactions":[],"lastModifiedDate":"2018-02-26T15:28:58","indexId":"wri034193","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4193","title":"Simulation of streamflow and water quality in the Christina River subbasin and overview of simulations in other subbasins of the Christina River Basin, Pennsylvania, Maryland, and Delaware, 1994-98","docAbstract":"<p>The Christina River Basin drains 565 square miles (mi<sup>2</sup>) in Pennsylvania and Delaware and includes the major subbasins of Brandywine Creek, Red Clay Creek, White Clay Creek, and Christina River. The Christina River subbasin (exclusive of the Brandywine, Red Clay, and White Clay Creek subbasins) drains an area of 76 mi<sup>2</sup>. Streams in the Christina River Basin are used for recreation, drinking water supply, and support of aquatic life. Water quality in some parts of the Christina River Basin is impaired and does not support designated uses of the stream. A multi-agency water-quality management strategy included a modeling component to evaluate the effects of point- and nonpoint-source contributions of nutrients and suspended sediment on stream water quality. To assist in nonpoint-source evaluation, four independent models, one for each of the four main subbasins of the Christina River Basin, were developed and calibrated using the model code Hydrological Simulation Program–Fortran (HSPF). Water-quality data for model calibration were collected in each of the four main subbasins and in small subbasins predominantly covered by one land use following a nonpoint- source monitoring plan. Under this plan, stormflow and base-flow samples were collected during 1998 at two sites in the Christina River subbasin and nine sites elsewhere in the Christina River Basin.</p><p>The HSPF model for the Christina River subbasin simulates streamflow, suspended sediment, and the nutrients, nitrogen and phosphorus. In addition, the model simulates water temperature, dissolved oxygen, biochemical oxygen demand, and plankton as secondary objectives needed to support the sediment and nutrient simulations. For the model, the basin was subdivided into nine reaches draining areas that ranged from 3.8 to 21.9 mi<sup>2</sup>. Ten different pervious land uses and two impervious land uses were selected for simulation. Land-use areas were determined from 1995 land-use data. The predominant land uses in the Christina River subbasin are residential, urban, forested, agricultural, and open.</p><p>The hydrologic component of the model was run at an hourly time step and calibrated using streamflow data from two U.S. Geological Survey (USGS) streamflow-measurement stations for the period of October 1, 1994, through October 29, 1998. Daily precipitation data from one National Oceanic and Atmospheric Administration (NOAA) meteorologic station and hourly data from one NOAA meteorologic station were used for model input. The difference between observed and simulated streamflow volume ranged from -2.3 to 5.3 percent for a 10-month portion of the calibration period at the two calibration sites. Annual differences between observed and simulated streamflow generally were greater than the overall error for the 4-year period. For example, at Christina River at Coochs Bridge, near the bottom of the free-flowing part of the subbasin (drainage area of 21 mi<sup>2</sup>), annual differences between observed and simulated streamflow ranged from -6.9 to 6.5 percent and the overall error for the 4-year period was -1.1 percent. Calibration errors for 36 storm periods at the three calibration sites for total volume, low-flow recession rate, 50-percent lowest flows, 10-percent highest flows, and storm peaks were within the recommended criteria of 20 percent or less. Much of the error in simulating storm events on an hourly time step can be attributed to uncertainty in the rainfall data.</p><p>The water-quality component of the model was calibrated using nonpoint-source monitoring data collected at two USGS streamflow-measurement stations and other water-quality monitoring data. The period of record for water-quality monitoring was variable at the stations, with a start date ranging from October 1994 to January 1998 and an end date of October 1998. Because of availability, monitoring data for suspended-solids concentrations were used as surrogates for suspended-sediment concentrations, although suspended-solids data may underestimate suspended sediment and affect apparent accuracy of the suspended-sediment simulaion. Comparison of observed to simulated loads for up to six storms in 1998 at the two nonpoint-source monitoring sites (Little Mill Creek near Newport and Christina River at Coochs Bridge, Del.) indicate that simulation error is commonly as large as an order of magnitude for suspended sediment and nutrients. The simulation error tends to be smaller for dissolved nutrients than for particulate nutrients. Errors of 40 percent or less for monthly or annual values indicate a fair to good water-quality calibration according to recommended criteria; much larger errors are possible for individual events. Assessment of the water-quality calibration under stormﬂow conditions is limited by the relatively small amount of available water-quality data in the subbasin.</p><p>Users of the Christina River subbasin HSPF model and HSPF models for other subbasins in the Christina River Basin should be aware of model limitations and consider the following if the model is used for predictive purposes: streamﬂow-duration curves suggest the model simulates streamﬂow reasonably well when measured over a broad range of conditions and time although streamﬂow and the corresponding water quality for individual storm events may not be well simulated; streamﬂow-duration curves for the simulation period compare well with duration curves for the 8-year period ending in 2001 at Christina River at Coochs Bridge, Del., and include all but the extreme high-ﬂow and low-ﬂow events; and calibration for water quality was based on limited data, with the result of increasing uncertainty in the water-quality simulation.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri034193","collaboration":"Prepared in cooperation with the Delaware River Basin Commission, Delaware Department of Natural Resources and Environmental Control, and the Pennsylvania Department of Environmental Protection","usgsCitation":"Senior, L.A., and Koerkle, E.H., 2003, Simulation of streamflow and water quality in the Christina River subbasin and overview of simulations in other subbasins of the Christina River Basin, Pennsylvania, Maryland, and Delaware, 1994-98: U.S. Geological Survey Water-Resources Investigations Report 2003-4193, xii, 144 p , https://doi.org/10.3133/wri034193.","productDescription":"xii, 144 p ","onlineOnly":"Y","costCenters":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"links":[{"id":4775,"rank":300,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2003/4193/wri20034193.pdf","text":"Report","size":"2.42 MB","linkFileType":{"id":1,"text":"pdf"},"description":"WRI 2003-4193"},{"id":178226,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2003/4193/coverthb.jpg"}],"contact":"<p><a href=\"mailto:dc_pa@usgs.gov\" data-mce-href=\"mailto:dc_pa@usgs.gov\">Director</a>, <a href=\"https://pa.water.usgs.gov/\" data-mce-href=\"https://pa.water.usgs.gov/\">Pennsylvania Water Science Center U.S. Geological Survey</a><br> 215 Limekiln Road<br> New Cumberland, PA 17070</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction&nbsp;</li><li>Description of study area&nbsp;</li><li>Description of model&nbsp;</li><li>Data for model input and calibration&nbsp;</li><li>Simulation of streamﬂow&nbsp;</li><li>Simulation of water quality&nbsp;</li><li>Overview of Christina River Basin models</li><li>Summary and conclusions&nbsp;</li><li>References cited</li><li>Appendixes&nbsp;</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b06e4b07f02db69a1e3","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":247801,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Koerkle, Edward H. ekoerkle@usgs.gov","contributorId":2014,"corporation":false,"usgs":true,"family":"Koerkle","given":"Edward","email":"ekoerkle@usgs.gov","middleInitial":"H.","affiliations":[{"id":532,"text":"Pennsylvania Water Science Center","active":true,"usgs":true}],"preferred":true,"id":247800,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":53649,"text":"ofr03112 - 2003 - Preliminary volcano-hazard assessment for Great Sitkin Volcano, Alaska","interactions":[],"lastModifiedDate":"2022-10-14T19:41:47.871273","indexId":"ofr03112","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-112","title":"Preliminary volcano-hazard assessment for Great Sitkin Volcano, Alaska","docAbstract":"<p>Great Sitkin Volcano is a composite andesitic stratovolcano on Great Sitkin Island (51°05’ N latitude, 176°25’ W longitude), a small (14 x 16 km), circular volcanic island in the western Aleutian Islands of Alaska. Great Sitkin Island is located about 35 kilometers northeast of the community of Adak on Adak Island and 130 kilometers west of the community of Atka on Atka Island. Great Sitkin Volcano is an active volcano and has erupted at least eight times in the past 250 years (Miller and others, 1998). The most recent eruption in 1974 caused minor ash fall on the flanks of the volcano and resulted in the emplacement of a lava dome in the summit crater.</p>\n<br/>\n<p>The summit of the composite cone of Great Sitkin Volcano is 1,740 meters above sea level. The active crater is somewhat lower than the summit, and the highest point along its rim is about 1,460 meters above sea level. The crater is about 1,000 meters in diameter and is almost entirely filled by a lava dome emplaced in 1974. An area of active fumaroles, hot springs, and bubbling hot mud is present on the south flank of the volcano at the head of Big Fox Creek (see the map), and smaller ephemeral fumaroles and steam vents are present in the crater and around the crater rim. The flanking slopes of the volcano are gradual to steep and consist of variously weathered and vegetated blocky lava flows that formed during Pleistocene and Holocene eruptions. The modern edifice occupies a caldera structure that truncates an older sequence of lava flows and minor pyroclastic rocks on the east side of the volcano. The eastern sector of the volcano includes the remains of an ancestral volcano that was partially destroyed by a northwest-directed flank collapse.</p>\n<br/>\n<p>In winter, Great Sitkin Volcano is typically completely snow covered. Should explosive pyroclastic eruptions occur at this time, the snow would be a source of water for volcanic mudflows or lahars. In summer, much of the snowpack melts, leaving only a patchy distribution of snow on the volcano. Glacier ice is no longer present on the volcano or on other parts of Great Sitkin Island as previously reported by Simons and Mathewson (1955).</p>\n<br/>\n<p>Great Sitkin Island is presently uninhabited and is part of the Alaska Maritime National Wildlife Refuge, managed by the U.S. Fish and Wildlife Service. </p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Anchorage, AK","doi":"10.3133/ofr03112","usgsCitation":"Waythomas, C.F., Miller, T.P., and Nye, C.J., 2003, Preliminary volcano-hazard assessment for Great Sitkin Volcano, Alaska: U.S. Geological Survey Open-File Report 2003-112, Report: iv, 25 p.; 1 Plate: 29.0 x 22.0 inches, https://doi.org/10.3133/ofr03112.","productDescription":"Report: iv, 25 p.; 1 Plate: 29.0 x 22.0 inches","numberOfPages":"32","additionalOnlineFiles":"Y","costCenters":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true},{"id":615,"text":"Volcano Hazards Program","active":true,"usgs":true},{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"links":[{"id":178212,"rank":2,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":408346,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_62429.htm","linkFileType":{"id":5,"text":"html"}},{"id":283925,"rank":0,"type":{"id":17,"text":"Plate"},"url":"https://pubs.usgs.gov/of/2003/0112/pdf/of03-112plate.pdf","text":"Plate","linkFileType":{"id":1,"text":"pdf"}},{"id":4947,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2003/0112/","linkFileType":{"id":5,"text":"html"}},{"id":283924,"rank":1,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/of/2003/0112/pdf/of03-112.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"Alaska","otherGeospatial":"Great Sitkin Volcano","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -176.26190185546875,\n              51.964577109947506\n            ],\n            [\n              -175.97076416015622,\n              51.964577109947506\n            ],\n            [\n              -175.97076416015622,\n              52.12168505384983\n            ],\n            [\n              -176.26190185546875,\n              52.12168505384983\n            ],\n            [\n              -176.26190185546875,\n              51.964577109947506\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49d5e4b07f02db5dd976","contributors":{"authors":[{"text":"Waythomas, Christopher F. 0000-0002-3898-272X cwaythomas@usgs.gov","orcid":"https://orcid.org/0000-0002-3898-272X","contributorId":640,"corporation":false,"usgs":true,"family":"Waythomas","given":"Christopher","email":"cwaythomas@usgs.gov","middleInitial":"F.","affiliations":[{"id":617,"text":"Volcano Science Center","active":true,"usgs":true}],"preferred":true,"id":511522,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Miller, Thomas P. tmiller@usgs.gov","contributorId":4183,"corporation":false,"usgs":true,"family":"Miller","given":"Thomas","email":"tmiller@usgs.gov","middleInitial":"P.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":511523,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Nye, Christopher J.","contributorId":55418,"corporation":false,"usgs":true,"family":"Nye","given":"Christopher","email":"","middleInitial":"J.","affiliations":[{"id":121,"text":"Alaska Volcano Observatory","active":false,"usgs":true}],"preferred":false,"id":511524,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}}
,{"id":53052,"text":"ofr03378 - 2003 - Hydrogeologic data from a shallow flooding demonstration project, Twitchell Island, California, 1997-2001","interactions":[],"lastModifiedDate":"2012-02-02T00:11:39","indexId":"ofr03378","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-378","title":"Hydrogeologic data from a shallow flooding demonstration project, Twitchell Island, California, 1997-2001","docAbstract":"Data were collected during a study to determine the effects of continuous shallow flooding on ground-water discharge to an agricultural drainage ditch on Twitchell Island, California. The conceptual model of the hydrogeologic setting was detailed with soil coring and borehole-geophysical logs. Twenty-two monitoring wells were installed to observe hydraulic head. Ten aquifer slug tests were done in peat and mineral sediments. Ground-water and surface-water temperature was monitored at 14 locations. Flow to and from the pond was monitored through direct measurement of flows and through the calculation of a water budget. \r\n\r\n    These data were gathered to support the development of a two-dimensional ground-water flow model. The model will be used to estimate subsurface discharge to the drainage ditch as a result of the pond. The estimated discharge will be used to estimate the concentrations of DOC that can be expected in the ditch.","language":"ENGLISH","doi":"10.3133/ofr03378","usgsCitation":"Gamble, J.M., Burow, K.R., Wheeler, G.A., Hilditch, R., and Drexler, J.Z., 2003, Hydrogeologic data from a shallow flooding demonstration project, Twitchell Island, California, 1997-2001: U.S. Geological Survey Open-File Report 2003-378, 42 p., https://doi.org/10.3133/ofr03378.","productDescription":"42 p.","costCenters":[],"links":[{"id":177378,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":5194,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.water.usgs.gov/ofr03378/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adce4b07f02db6863ae","contributors":{"authors":[{"text":"Gamble, James M.","contributorId":100061,"corporation":false,"usgs":true,"family":"Gamble","given":"James","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":246432,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Burow, Karen R. 0000-0001-6006-6667 krburow@usgs.gov","orcid":"https://orcid.org/0000-0001-6006-6667","contributorId":1504,"corporation":false,"usgs":true,"family":"Burow","given":"Karen","email":"krburow@usgs.gov","middleInitial":"R.","affiliations":[{"id":154,"text":"California Water Science Center","active":true,"usgs":true}],"preferred":true,"id":246428,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wheeler, Gail A.","contributorId":57141,"corporation":false,"usgs":true,"family":"Wheeler","given":"Gail","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":246429,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Hilditch, Robert","contributorId":70049,"corporation":false,"usgs":true,"family":"Hilditch","given":"Robert","email":"","affiliations":[],"preferred":false,"id":246431,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Drexler, Judy Z. 0000-0002-0127-3866","orcid":"https://orcid.org/0000-0002-0127-3866","contributorId":65155,"corporation":false,"usgs":true,"family":"Drexler","given":"Judy","email":"","middleInitial":"Z.","affiliations":[],"preferred":false,"id":246430,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":53048,"text":"wri034278 - 2003 - Aquifer susceptibility in Virginia, 1998-2000","interactions":[],"lastModifiedDate":"2026-02-13T21:31:09.93085","indexId":"wri034278","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4278","title":"Aquifer susceptibility in Virginia, 1998-2000","docAbstract":"<p>The U.S. Geological Survey (USGS), in cooperation with the Virginia Department of Health, sampled water from 171 wells and springs across the Commonwealth of Virginia between 1998 and 2000 as part of the Virginia Aquifer Susceptibility study. Most of the sites sampled are public water supplies that are part of the comprehensive Source Water Assessment Program for the Commonwealth. The fundamental premise of the study was that the identification of young waters (less than 50 years) by multiple environmental tracers could be used as a guide for classifying aquifers in terms of susceptibility to contamination from near-surface sources. Environmental tracers, including chlorofluorocarbons (CFCs), sulfur hexafluoride (SF6), tritium (3H), and tritium/helium-3 (3H/3He), and carbon isotopes (14C and d13C) were used to determine the age of water discharging from wells and springs. Concentrations of CFCs greater than 5 picograms per kilogram and 3H concentrations greater than 0.6 tritium unit were used as thresholds to indicate that parts of the aquifer sampled have a component of young water and are, therefore, susceptible to near-surface contamination. Concentrations of CFCs exceeded the susceptibility threshold in 22 percent of the wells and in one spring sampled in the Coastal Plain regional aquifer systems. About 74 percent of the samples from wells with the top of the first water zone less than 100 feet below land surface exceeded the threshold values, and water supplies developed in the upper 100 feet of the Coastal Plain are considered to be susceptible to contamination from near-surface sources. The maximum depth to the top of the screened interval for wells that contained CFCs was less than 150 feet. Wells completed in the deep confined aquifers in the Coastal Plain generally contain water older than 1,000 years, as indicated by carbon-14 dating, and are not considered to be susceptible to contamination under natural conditions. All of the water samples from wells and springs in the fractured-rock terrains (the Appalachian Plateaus, Valley and Ridge, Blue Ridge, and Piedmont regional aquifer systems) contained concentrations of CFCs and 3H greater than one or both of the thresholds. Because all of the water samples exceeded at least one of the threshold values, young water is present throughout most of these regional aquifer systems; therefore, water supplies developed in these systems are susceptible to contamination from near-surface sources. No relation between well depth and presence of CFCs is evident from samples in the fractured-rock terrains. More than 95 percent of the samples for which the dating methods were applicable contained waters with apparent ages less than 35 years. About 5 percent of these samples, most of which were from the Blue Ridge and Piedmont regional aquifer systems, contained young waters with apparent ages of less than 5 years. Most of the samples from the Valley and Ridge Carbonate, Blue Ridge, and Piedmont regional aquifer systems had young water fractions of more than 50 percent, whereas samples from the Coastal Plain Shallow and Appalachian Plateaus regional aquifer systems contained less than 40 percent young waters. Concentrations of CFCs in excess of air-water equilibrium, which can indicate that nonatmospheric sources (such as sewage effluent) have introduced CFCs into the ground-water system, were measured in 6 and 48 percent of the water samples from the Coastal Plain and fractured-rock regional aquifer systems, respectively. The nitrate (NO3) concentrations greater than the USGS detection level of 0.05 milligrams per liter generally increase as the apparent age of the young water fraction decreases, with the highest NO3 concentrations for samples in which one or more of the CFCs are above modern atmospheric mixing ratios (commonly referred to as 'contaminated' for ground-water dating purposes).</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034278","usgsCitation":"Nelms, D.L., Harlow, G., Plummer, N., and Busenberg, E., 2003, Aquifer susceptibility in Virginia, 1998-2000: U.S. Geological Survey Water-Resources Investigations Report 2003-4278, 58 p., https://doi.org/10.3133/wri034278.","productDescription":"58 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology 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,{"id":52921,"text":"wri034164 - 2003 - Techniques for estimating flood-peak discharges of rural, unregulated streams in Ohio","interactions":[],"lastModifiedDate":"2019-05-28T10:49:21","indexId":"wri034164","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4164","displayTitle":"Techniques for Estimating Flood-Peak  Discharges of Rural, Unregulated Streams in Ohio","title":"Techniques for estimating flood-peak discharges of rural, unregulated streams in Ohio","docAbstract":"<p>Regional equations for estimating 2-, 5-, 10-, 25-, 50-, 100-, and 500-year flood-peak discharges at ungaged sites on rural, unregulated streams in Ohio were developed by means of ordinary and generalized least-squares (GLS) regression techniques. One-variable, simple equations and three-variable, full-model equations were developed on the basis of selected basin characteristics and flood-frequency estimates determined for 305 streamflow-gaging stations in Ohio and adjacent states. The average standard errors of prediction ranged from about 39 to 49 percent for the simple equations, and from about 34 to 41 percent for the full-model equations. Flood-frequency estimates determined by means of log-Pearson Type III analyses are reported along with weighted flood-frequency estimates, computed as a function of the log-Pearson Type III estimates and the regression estimates.</p><p>Values of explanatory variables used in the regression models were determined from digital spatial data sets by means of a geographic information system (GIS), with the exception of drainage area, which was determined by digitizing the area within basin boundaries manually delineated on topographic maps. Use of GIS-based explanatory variables represents a major departure in methodology from that described in previous reports on estimating flood-frequency characteristics of Ohio streams.</p><p>Examples are presented illustrating application of the regression equations to ungaged sites on ungaged and gaged streams. A method is provided to adjust regression estimates for ungaged sites by use of weighted and regression estimates for a gaged site on the same stream.</p><p>A region-of-influence method, which employs a computer program to estimate flood-frequency characteristics for ungaged sites based on data from gaged sites with similar characteristics, was also tested and compared to the GLS full-model equations. For all recurrence intervals, the GLS full-model equations had superior prediction accuracy relative to the simple equations and therefore are recommended for use.</p>","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri034164","collaboration":"Prepared in cooperation with the Ohio Department of Transportation, and the U.S. Department of Transportation, Federal Highway Administration","usgsCitation":"Koltun, G., 2003, Techniques for estimating flood-peak discharges of rural, unregulated streams in Ohio (2nd edition): U.S. Geological Survey Water-Resources Investigations Report 2003-4164, vi, 75 p.; Metadata, https://doi.org/10.3133/wri034164.","productDescription":"vi, 75 p.; Metadata","numberOfPages":"83","costCenters":[],"links":[{"id":273235,"type":{"id":16,"text":"Metadata"},"url":"https://water.usgs.gov/GIS/metadata/usgswrd/XML/elevgrd.xml","linkHelpText":"- Ohio-Drainage Digital Elevation Model for use with Water Resources 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 \"}}]}","edition":"2nd edition","contact":"<p><a href=\"mailto:dc_oh@usgs.gov\" data-mce-href=\"mailto:dc_oh@usgs.gov\">Director</a>, <a href=\"https://www.usgs.gov/centers/oki-water/\" data-mce-href=\"https://www.usgs.gov/centers/oki-water/\">Ohio Water Science Center</a><br>U.S. Geological Survey<br>6460 Busch Blvd. <br>Columbus, OH 43229</p>","tableOfContents":"<ul><li>Abstract</li><li>Introduction</li><li>Techniques for Estimating Flood-Peak Discharges</li><li>Data Compilation</li><li>Development of Flood-Frequency Estimates for Streamflow-Gaging Stations</li><li>Development of Regional Regression Equations</li><li>Region of Influence</li><li>Summary and Conclusions</li><li>References Cited</li><li>Data Tables</li><li>Appendixes</li></ul>","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4adbe4b07f02db685c6a","contributors":{"authors":[{"text":"Koltun, G. F. 0000-0003-0255-2960","orcid":"https://orcid.org/0000-0003-0255-2960","contributorId":49817,"corporation":false,"usgs":true,"family":"Koltun","given":"G. F.","affiliations":[],"preferred":false,"id":246233,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":51973,"text":"wri034066 - 2003 - Stage-discharge relations for selected culverts and bridges in the Big Lost River flood plain at the Idaho National Engineering and Environmental Laboratory, Idaho","interactions":[],"lastModifiedDate":"2012-12-06T13:12:51","indexId":"wri034066","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4066","title":"Stage-discharge relations for selected culverts and bridges in the Big Lost River flood plain at the Idaho National Engineering and Environmental Laboratory, Idaho","docAbstract":"Information is needed by the U.S. Department\nof Energy at the Idaho National Engineering and\nEnvironmental Laboratory to determine the extent\nand severity of potential flooding at facilities along\nthe Big Lost River. Two computer programs—the\nCulvert Analysis Program (CAP) and the HECRAS\nmodel—were used to define stage-discharge\nrelations for 31 culverts and 2 bridge sites in a 10-\nmile reach of the river. These relations can be used\nto improve surface-water-flow models to evaluate\npotential flooding.\nRelations between headwater, tailwater, and\ndischarge through each structure were unique.\nDischarge through the culverts as computed by the\nCAP ranged from about 0 cubic feet per second to\nas much discharge as could be conveyed, and tailwater\nelevations ranged from about 0 to 30 feet\nabove the outlet elevation. Discharge through the\nbridges, as computed by the HEC-RAS model,\nranged from nearly 0 to 7,000 cubic feet per second,\nand tailwater elevations ranged from nearly 0\nto 30 feet above the streambed on the downstream\ncross section of each bridge.\nStage-discharge relations provided in lookup\ntables in this report can be incorporated into\nnumerical surface-water-flow models to simulate\nthe effects of hydraulic structures on flood flows.\nOne limitation of the CAP and HEC-RAS models\nis that changes in flow conditions, such as obstruction\nby sediment and debris, are not simulated. If\nflow through a hydraulic structure is obstructed by\nsediment or debris, then model-simulated discharges\nthrough the structure might be greater than\nwould be experienced under actual conditions.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/wri034066","collaboration":"Prepared in cooperation with the U.S. Department of Energy","usgsCitation":"Berenbrock, C., and Doyle, J.D., 2003, Stage-discharge relations for selected culverts and bridges in the Big Lost River flood plain at the Idaho National Engineering and Environmental Laboratory, Idaho: U.S. Geological Survey Water-Resources Investigations Report 2003-4066, iv, 62 p., https://doi.org/10.3133/wri034066.","productDescription":"iv, 62 p.","numberOfPages":"68","costCenters":[{"id":343,"text":"Idaho Water Science Center","active":true,"usgs":true}],"links":[{"id":262372,"rank":800,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/2003/4066/report.pdf"},{"id":262373,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/2003/4066/report-thumb.jpg"}],"scale":"24000","country":"United States","state":"Idaho","county":"Butte","geographicExtents":"{ \"type\": \"FeatureCollection\", \"features\": [ { \"type\": \"Feature\", \"properties\": {}, \"geometry\": { \"type\": \"Polygon\", \"coordinates\": [ [ [ -113.198397,43.497693 ], [ -113.198397,43.727668 ], [ -112.70655,43.727668 ], [ -112.70655,43.497693 ], [ -113.198397,43.497693 ] ] ] } } ] }","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e48b2e4b07f02db53114c","contributors":{"authors":[{"text":"Berenbrock, Charles","contributorId":30598,"corporation":false,"usgs":true,"family":"Berenbrock","given":"Charles","email":"","affiliations":[],"preferred":false,"id":244584,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Doyle, Jack D.","contributorId":104978,"corporation":false,"usgs":true,"family":"Doyle","given":"Jack","email":"","middleInitial":"D.","affiliations":[],"preferred":false,"id":244585,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":51992,"text":"wri034057 - 2003 - Methodology for estimating times of remediation associated with monitored natural attenuation","interactions":[],"lastModifiedDate":"2025-03-24T18:23:40.524622","indexId":"wri034057","displayToPublicDate":"2004-01-01T00:00:00","publicationYear":"2003","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":"2003-4057","displayTitle":"Methodology for Estimating Times of Remediation Associated with Monitored Natural Attenuation","title":"Methodology for estimating times of remediation associated with monitored natural attenuation","docAbstract":"<p>Natural attenuation processes combine to disperse, immobilize, and biologically transform anthropogenic contaminants, such as petroleum hydrocarbons and chlorinated ethenes, in ground-water systems. The time required for these processes to lower contaminant concentrations to levels protective of human health and the environment, however, varies widely between different hydrologic systems, different chemical contaminants, and varying amounts of contaminants. This report outlines a method for estimating timeframes required for natural attenuation processes, such as dispersion, sorption, and biodegradation, to lower contaminant concentrations and mass to predetermined regulatory goals in groundwater systems. The time-of-remediation (TOR) problem described in this report is formulated as three interactive components: (1) estimating the length of a contaminant plume once it has achieved a steady-state configuration from a source area of constant contaminant concentration, (2) estimating the time required for a plume to shrink to a smaller, regulatoryacceptable configuration when source-area contaminant concentrations are lowered by engineered methods, and (3) estimating the time needed for nonaqueous phase liquid (NAPL) contaminants to dissolve, disperse, and biodegrade below predetermined levels in contaminant source areas. This conceptualization was used to develop Natural Attenuation Software (NAS), an interactive computer aquifers. NAS was designed as a screening tool and requires the input of detailed site information about hydrogeology, redox conditions, and the distribution of contaminants. Because NAS is based on numerous simplifications of hydrologic, microbial, and geochemical processes, the program may introduce unacceptable errors for highly heterogeneous hydrologic systems. In such cases, application of the TOR framework outlined in this report may require more detailed, site-specific digital modeling. The NAS software may be downloaded from the Web site http://www.cee.vt.edu/NAS/ Application of NAS illustrates several general characteristics shared by all TOR problems. First, the distance of stabilization of a contaminant plume is strongly dependent on the natural attenuation capacity of particular ground-water systems. The time that it takes a plume to reach a steady-state configuration, however, is independent of natural attenuation capacity. Rather, the time of stabilization is most strongly affected by the sorptive capacity of the aquifer, which is dependent on the organic matter content of the aquifer sediments, as well as the sorptive properties of individual contaminants. As a general rule, a high sorptive capacity retards a plume.s growth or shrinkage, and increases the time of stabilization. Finally, the time of NAPL dissolution depends largely on NAPL mass, composition, geometry, and hydrologic factors, such as ground-water flow rates. An example TOR analysis for petroleum hydrocarbon NAPL was performed for the Laurel Bay site in South Carolina. About 500 to 1,000 pounds of gasoline leaked into the aquifer at this site in 1991, and the NAS simulations suggested that TOR would be on the order of 10 years for soluble and poorly sorbed compounds, such as benzene and methyl tertiary-butyl ether (MTBE). Conversely, TOR would be on the order of 40 years for less soluble, more strongly sorbed compounds, such as toluene, ethylbenzene, and xylenes (TEX). These TOR estimates are roughly consistent with contaminant concentrations observed over 10 years of monitoring at this site where benzene and MTBE concentrations were observed to decrease rapidly and are approaching regulatory maximum concentration limits, whereas toluene, ethylbenzene, and xylene concentrations decreased at a slower rate and have remained relatively high. An example TOR analysis for petroleum hydrocarbon NAPL was performed for the Laurel Bay site in South Carolina.&nbsp;</p>","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/wri034057","usgsCitation":"Chapelle, F.H., Widdowson, M.A., Brauner, J.S., Mendez, E., and Casey, C.C., 2003, Methodology for estimating times of remediation associated with monitored natural attenuation: U.S. Geological Survey Water-Resources Investigations Report 2003-4057, 51 p., https://doi.org/10.3133/wri034057.","productDescription":"51 p.","costCenters":[{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":177531,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/wri/wri034057/coverthb.jpg"},{"id":4567,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/wri/wri034057/index.html","linkFileType":{"id":5,"text":"html"}},{"id":483732,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/wri/wri034057/pdf/wrir03-4057.pdf","linkFileType":{"id":1,"text":"pdf"}}],"country":"United States","state":"South Carolina","otherGeospatial":"Laurel Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -81.03515625,\n              32.18491105051798\n            ],\n            [\n              -80.5078125,\n              32.18491105051798\n            ],\n            [\n              -80.5078125,\n              32.602361666817515\n            ],\n            [\n              -81.03515625,\n              32.602361666817515\n            ],\n            [\n              -81.03515625,\n              32.18491105051798\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a51e4b07f02db629f9d","contributors":{"authors":[{"text":"Chapelle, Francis H. chapelle@usgs.gov","contributorId":1350,"corporation":false,"usgs":true,"family":"Chapelle","given":"Francis","email":"chapelle@usgs.gov","middleInitial":"H.","affiliations":[{"id":13634,"text":"South Atlantic Water Science Center","active":true,"usgs":true},{"id":559,"text":"South Carolina Water Science Center","active":true,"usgs":true}],"preferred":true,"id":244625,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Widdowson, Mark A.","contributorId":90379,"corporation":false,"usgs":true,"family":"Widdowson","given":"Mark","email":"","middleInitial":"A.","affiliations":[],"preferred":false,"id":244629,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Brauner, J. Steven","contributorId":72860,"corporation":false,"usgs":true,"family":"Brauner","given":"J.","email":"","middleInitial":"Steven","affiliations":[],"preferred":false,"id":244627,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Mendez, Eduardo III","contributorId":86838,"corporation":false,"usgs":true,"family":"Mendez","given":"Eduardo","suffix":"III","email":"","affiliations":[],"preferred":false,"id":244628,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Casey, Clifton C.","contributorId":15140,"corporation":false,"usgs":true,"family":"Casey","given":"Clifton","email":"","middleInitial":"C.","affiliations":[],"preferred":false,"id":244626,"contributorType":{"id":1,"text":"Authors"},"rank":5}]}}
,{"id":70221815,"text":"70221815 - 2003 - Natural remediation potential of arsenic-contaminated ground water","interactions":[],"lastModifiedDate":"2021-07-08T12:00:49.775085","indexId":"70221815","displayToPublicDate":"2003-12-31T16:20:42","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Natural remediation potential of arsenic-contaminated ground water","docAbstract":"<p><span>Migration of leachate from a municipal landfill in Saco, Maine has resulted in arsenic concentrations in ground water as high as&nbsp;</span>647 μg/L<span>. Laboratory experimental data indicate the primary source of arsenic to be reductive dissolution of arsenic-enriched iron oxyhydroxides in the aquifer by organic carbon in landfill leachate. A core from an uncontaminated part of the aquifer yielded no dissolved iron or arsenic when leached with oxic ground water. Eluent ground water spiked with organic carbon in order to create reducing conditions mobilized both ferrous iron and arsenite from this core. The landfill was capped in early 1998 to eliminate the source of leachate. Cores from the contaminated portion of the aquifer were collected and leached with uncontaminated ground water in the laboratory to simulate natural remediation conditions. Data from these experiments show that significant concentrations of labile organic carbon have accumulated on aquifer solids, causing significant biological oxygen demand. In laboratory leaching experiments of the most contaminated core, the organic carbon caused complete consumption of the influent dissolved oxygen (6 mg/L) for 220 pore volumes. Arsenic leaching from contaminated cores rapidly decreased in concentration initially in response to flushing with uncontaminated ground water. Subsequent leaching produced more gradual decreases in dissolved arsenic concentrations, controlled by a combination of reductive dissolution of arsenic-enriched iron oxyhydroxides and adsorption/desorption. In leachate from the most contaminatedcore, arsenic concentrations exceeded the new United States Environmental Protection Agency drinking-water standard of&nbsp;</span>10 μg/L<span>&nbsp;for more than 200 pore volumes. A geochemical model simulated the concentration of selected constituents as uncontaminated ground water eluted through contaminated aquifer solids. Concentrations of dissolved oxygen, arsenic, and iron, in leachate from one core were used to calibrate the model. This model was validated by successfully simulating constituent concentrations in leachate from cores collected from other contaminated areas of this aquifer.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Arsenic in Ground Water","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","usgsCitation":"Stollenwerk, K.G., and Colman, J.A., 2003, Natural remediation potential of arsenic-contaminated ground water, chap. <i>of</i> Arsenic in Ground Water, p. 351-379.","productDescription":"29 p.","startPage":"351","endPage":"379","costCenters":[{"id":376,"text":"Massachusetts Water Science Center","active":true,"usgs":true}],"links":[{"id":387014,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"Maine","city":"Saco","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.4676818847656,\n              43.45840174102617\n            ],\n            [\n              -70.37223815917966,\n              43.45840174102617\n            ],\n            [\n              -70.37223815917966,\n              43.569944310356256\n            ],\n            [\n              -70.4676818847656,\n              43.569944310356256\n            ],\n            [\n              -70.4676818847656,\n              43.45840174102617\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Stollenwerk, Kenneth G. kgstolle@usgs.gov","contributorId":578,"corporation":false,"usgs":true,"family":"Stollenwerk","given":"Kenneth","email":"kgstolle@usgs.gov","middleInitial":"G.","affiliations":[],"preferred":true,"id":818839,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Colman, John A. 0000-0001-9327-0779 jacolman@usgs.gov","orcid":"https://orcid.org/0000-0001-9327-0779","contributorId":2098,"corporation":false,"usgs":true,"family":"Colman","given":"John","email":"jacolman@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":818840,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}}
,{"id":70206341,"text":"70206341 - 2003 - Object-based inversion of crosswell radar tomography data to monitor vegetable-oil injection experiment","interactions":[],"lastModifiedDate":"2020-04-06T22:50:07.977306","indexId":"70206341","displayToPublicDate":"2003-12-31T16:05:47","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Object-based inversion of crosswell radar tomography data to monitor vegetable-oil injection experiment","docAbstract":"<p><span style=\"font-family: Arial, Helvetica, sans-serif;\">Crosswell radar tomography methods can be used to dynamically image ground-water flow and mass transport associated with tracer tests, hydraulic tests, and natural physical processes. Dynamic imaging can be used to identify preferential flow paths and to help characterize complex aquifer heterogeneity. Unfortunately, because the raypath coverage of the interwell region is limited by the borehole geometry, the tomographic inverse problem is typically underdetermined, and tomograms may contain artifacts such as spurious blurring or streaking that confuse interpretation.</span></p><p><span style=\"font-family: Arial, Helvetica, sans-serif;\">We implement<span>&nbsp;</span><i>object-based inversion</i><span>&nbsp;</span>(using a constrained, non-linear, least-squares algorithm) as an alternative to pixel-based inversion approaches that utilize regularization (such as damping or smoothing criteria). Our approach requires pre- and post-injection travel-time data. Parameterization of the image plane comprises a small number of objects rather than a large number of pixels, resulting in an overdetermined problem that reduces the need for prior information. The nature and geometry of the objects are based on hydrologic insight into aquifer characteristics, the nature of the experiment, and the planned use of the geophysical results.</span></p><p><span style=\"font-family: Arial, Helvetica, sans-serif;\">The object-based inversion approach is demonstrated using synthetic and crosswell radar field data acquired during vegetable-oil injection experiments at a site in Fridley, Minnesota. The region where oil has displaced ground water is discretized as a stack of rectangles of variable horizontal extents. The inversion provides the geometry of the affected region and an estimate of the radar slowness change for each rectangle. Applying petrophysical models to these results and porosity from neutron logs, we estimate that the vegetable-oil emulsion saturation in various layers ranges from 60 to 90%. Further work is needed to assess the accuracy of the emulsion saturation estimates.</span></p><p><span style=\"font-family: Arial, Helvetica, sans-serif;\">Using synthetic- and field-data examples, the object-based inversion approach is shown to be an effective strategy for inverting crosswell radar tomography data acquired to monitor the emplacement of vegetable-oil emulsions. A principal advantage of object-based inversion is that it yields images that hydrologists and engineers can easily interpret and use for model calibration.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","conferenceDate":"April 6-10, 2003","conferenceLocation":"San Antonio TX","language":"English","publisher":"Environmental and Engineering Geophysical Society","usgsCitation":"Lane, J., Day-Lewis, F.D., Roelof J. Versteeg, and Casey, C., 2003, Object-based inversion of crosswell radar tomography data to monitor vegetable-oil injection experiment, <i>in</i> Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP), San Antonio TX, April 6-10, 2003, 27 p.","productDescription":"27 p.","costCenters":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":589,"text":"Toxic Substances Hydrology Program","active":true,"usgs":true}],"links":[{"id":368766,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368765,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/ogw/bgas/publications/SAGEEP03_Lane/"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Lane, John W. Jr. 0000-0002-3558-243X","orcid":"https://orcid.org/0000-0002-3558-243X","contributorId":210076,"corporation":false,"usgs":true,"family":"Lane","given":"John W.","suffix":"Jr.","affiliations":[{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true},{"id":34685,"text":"Dakota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":774217,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Day-Lewis, Frederick D. 0000-0003-3526-886X daylewis@usgs.gov","orcid":"https://orcid.org/0000-0003-3526-886X","contributorId":1672,"corporation":false,"usgs":true,"family":"Day-Lewis","given":"Frederick","email":"daylewis@usgs.gov","middleInitial":"D.","affiliations":[{"id":486,"text":"OGW Branch of Geophysics","active":true,"usgs":true},{"id":493,"text":"Office of Ground Water","active":true,"usgs":true},{"id":37277,"text":"WMA - Earth System Processes Division","active":true,"usgs":true}],"preferred":true,"id":774218,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Roelof J. Versteeg","contributorId":199895,"corporation":false,"usgs":false,"family":"Roelof J. Versteeg","affiliations":[],"preferred":false,"id":774219,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Casey, C.C.","contributorId":10206,"corporation":false,"usgs":true,"family":"Casey","given":"C.C.","email":"","affiliations":[],"preferred":false,"id":774220,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}}
,{"id":70221814,"text":"70221814 - 2003 - Arsenic in ground water used for drinking water in the United States","interactions":[],"lastModifiedDate":"2021-07-08T12:02:15.079567","indexId":"70221814","displayToPublicDate":"2003-12-31T16:05:18","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"publicationSubtype":{"id":24,"text":"Book Chapter"},"title":"Arsenic in ground water used for drinking water in the United States","docAbstract":"<p><span>The U.S. Environmental Protection Agency recently established a new maximum contaminant level of 10 micrograms per liter for arsenic in drinking water in the United States. Ground water is the primary source of drinking water for half the population of the United States. Several national assessments have found that high arsenic concentrations (above 10 micrograms per liter) are widespread in drinking-water aquifers in the western United States, the Great Lakes region, and New England. Moderate to high concentrations were identified in ground water in parts of the central and southern United States. This chapter summarizes national trends in the use of ground water as drinking water, and national estimates of arsenic occurrence in potable ground water. The chapter also briefly describes several studies on arsenic in specific settings and water-use scenarios; these studies illustrate by example the potential power of a regional approach to understanding and managing arsenic in drinking water.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Arsenic in Ground Water","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Springer","doi":"10.1007/0-306-47956-7_6","usgsCitation":"Ryker, S.J., 2003, Arsenic in ground water used for drinking water in the United States, chap. <i>of</i> Arsenic in Ground Water, p. 165-178, https://doi.org/10.1007/0-306-47956-7_6.","productDescription":"14 p.","startPage":"165","endPage":"178","costCenters":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"links":[{"id":387013,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Ryker, Sarah J. 0000-0002-1004-5611 sryker@usgs.gov","orcid":"https://orcid.org/0000-0002-1004-5611","contributorId":4100,"corporation":false,"usgs":true,"family":"Ryker","given":"Sarah","email":"sryker@usgs.gov","middleInitial":"J.","affiliations":[{"id":505,"text":"Office of the AD Climate and Land-Use Change","active":true,"usgs":true}],"preferred":true,"id":818838,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70206340,"text":"70206340 - 2003 - Continuous-resistivity profiling for coastal ground-water investigations: Three case studies","interactions":[],"lastModifiedDate":"2019-10-30T16:02:42","indexId":"70206340","displayToPublicDate":"2003-12-31T15:52:26","publicationYear":"2003","noYear":false,"publicationType":{"id":24,"text":"Conference Paper"},"publicationSubtype":{"id":19,"text":"Conference Paper"},"title":"Continuous-resistivity profiling for coastal ground-water investigations: Three case studies","docAbstract":"<p><span>Continuous-resistivity profiling (CRP) was used at three sites to investigate submarine groundwater discharge (SGD) and to delineate the subsurface saltwater/freshwater interface. At the first site, in Georgetown, South Carolina, CRP was used to locate possible areas of SGD in the Winyah Bay estuary. The data show evidence of SGD in the Pee Dee River, feeding into Winyah Bay, at approximately the location of the forest/marsh boundary. In Waquoit Bay, Massachusetts, CRP was used to further map the extent of SGD already measured by sea floor seepage meters and to delineate the subsurface saltwater/freshwater boundary. The data show evidence for a focused groundwater plume beneath the bay that may extend 350 meters (m) out from the shore. Finally, CRP was used in Orleans, Massachusetts, to verify a groundwater model prediction of freshwater-saturated sediments underlying an area of Cape Cod Bay, just west of Rock Harbor. The data support the prediction of freshwater-saturated sediments beneath the bay. Results from all three sites show the value of CRP in coastal groundwater investigations.</span></p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","largerWorkSubtype":{"id":12,"text":"Conference publication"},"conferenceTitle":"Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP)","conferenceDate":"April 6-10, 2003","conferenceLocation":"San Antonio TX","language":"English","publisher":"Environmental and Engineering Geophysical Society","usgsCitation":"Belaval, M., Lane, J., Lesmes, D., and Kineke, G.C., 2003, Continuous-resistivity profiling for coastal ground-water investigations: Three case studies, <i>in</i> Proceedings: Symposium on the Application of Geophysics to Engineering and Environmental Problems (SAGEEP), San Antonio TX, April 6-10, 2003, 14 p.","productDescription":"14 p.","costCenters":[{"id":494,"text":"Office of Groundwater","active":false,"usgs":true}],"links":[{"id":368764,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":368763,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://water.usgs.gov/ogw/bgas/publications/SAGEEP03_Belaval/"}],"country":"United States","state":"Massachusetts, South Carolina","city":"Orleans","otherGeospatial":"Waquoit Bay, Winyah Bay","geographicExtents":"{\n  \"type\": \"FeatureCollection\",\n  \"features\": [\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -69.99046325683594,\n              41.78206502192826\n            ],\n            [\n              -69.95269775390624,\n              41.78206502192826\n            ],\n            [\n              -69.95269775390624,\n              41.81738473661011\n            ],\n            [\n              -69.99046325683594,\n              41.81738473661011\n            ],\n            [\n              -69.99046325683594,\n              41.78206502192826\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -70.53385734558105,\n              41.54764462357737\n            ],\n            [\n              -70.51179885864258,\n              41.54764462357737\n            ],\n            [\n              -70.51179885864258,\n              41.580139904121495\n            ],\n            [\n              -70.53385734558105,\n              41.580139904121495\n            ],\n            [\n              -70.53385734558105,\n              41.54764462357737\n            ]\n          ]\n        ]\n      }\n    },\n    {\n      \"type\": \"Feature\",\n      \"properties\": {},\n      \"geometry\": {\n        \"type\": \"Polygon\",\n        \"coordinates\": [\n          [\n            [\n              -79.30343627929688,\n              33.195029344358204\n            ],\n            [\n              -79.16404724121094,\n              33.195029344358204\n            ],\n            [\n              -79.16404724121094,\n              33.416541094124085\n            ],\n            [\n              -79.30343627929688,\n              33.416541094124085\n            ],\n            [\n              -79.30343627929688,\n              33.195029344358204\n            ]\n          ]\n        ]\n      }\n    }\n  ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Belaval, Marcel 0000-0002-4049-6798","orcid":"https://orcid.org/0000-0002-4049-6798","contributorId":207205,"corporation":false,"usgs":false,"family":"Belaval","given":"Marcel","email":"","affiliations":[{"id":37476,"text":"U.S. EPA, Region 1","active":true,"usgs":false}],"preferred":false,"id":774213,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lane, John W. 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,{"id":70205504,"text":"70205504 - 2003 - Comparing groups using structural equations","interactions":[{"subject":{"id":70205504,"text":"70205504 - 2003 - Comparing groups using structural equations","indexId":"70205504","publicationYear":"2003","noYear":false,"chapter":"11","title":"Comparing groups using structural equations"},"predicate":"IS_PART_OF","object":{"id":70006389,"text":"70006389 - 2003 - Structural Equation Modeling: Applications in ecological and evolutionary biology","indexId":"70006389","publicationYear":"2003","noYear":false,"title":"Structural Equation Modeling: Applications in ecological and evolutionary biology"},"id":1}],"isPartOf":{"id":70006389,"text":"70006389 - 2003 - Structural Equation Modeling: Applications in ecological and evolutionary biology","indexId":"70006389","publicationYear":"2003","noYear":false,"title":"Structural Equation Modeling: Applications in ecological and evolutionary biology"},"lastModifiedDate":"2019-11-01T11:09:14","indexId":"70205504","displayToPublicDate":"2003-12-31T14:46:44","publicationYear":"2003","noYear":false,"publicationType":{"id":5,"text":"Book chapter"},"chapter":"11","title":"Comparing groups using structural equations","docAbstract":"<p>No abstract available.</p>","largerWorkType":{"id":4,"text":"Book"},"largerWorkTitle":"Structural equation modeling: Applications in ecological and evolutionary biology research","largerWorkSubtype":{"id":15,"text":"Monograph"},"language":"English","publisher":"Cambridge University Press","isbn":"9780521104029","usgsCitation":"Grace, J.B., 2003, Comparing groups using structural equations, chap. 11 <i>of</i> Structural equation modeling: Applications in ecological and evolutionary biology research, p. 281-296.","productDescription":"16 p.","startPage":"281","endPage":"296","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true}],"links":[{"id":367563,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"},{"id":367562,"rank":1,"type":{"id":15,"text":"Index Page"},"url":"https://www.cambridge.org/us/academic/subjects/life-sciences/ecology-and-conservation/structural-equation-modeling-applications-ecological-and-evolutionary-biology"}],"noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Grace, James B. 0000-0001-6374-4726 gracej@usgs.gov","orcid":"https://orcid.org/0000-0001-6374-4726","contributorId":884,"corporation":false,"usgs":true,"family":"Grace","given":"James","email":"gracej@usgs.gov","middleInitial":"B.","affiliations":[{"id":531,"text":"Patuxent Wildlife Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research Center","active":true,"usgs":true},{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true}],"preferred":true,"id":771435,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}}
,{"id":70207759,"text":"70207759 - 2003 - Understanding climatic impacts, vulnerabilities, and adaptation in the United States: Building a capacity for assessment","interactions":[],"lastModifiedDate":"2020-01-09T13:51:40","indexId":"70207759","displayToPublicDate":"2003-12-31T13:37:49","publicationYear":"2003","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1252,"text":"Climatic Change","active":true,"publicationSubtype":{"id":10}},"title":"Understanding climatic impacts, vulnerabilities, and adaptation in the United States: Building a capacity for assessment","docAbstract":"<p><span>Based on the experience of the U.S. National Assessment, we propose a program of research and analysis to advance capability for assessment of climate impacts, vulnerabilities, and adaptation options. We identify specific priorities for scientific research on the responses of ecological and socioeconomic systems to climate and other stresses; for improvement in the climatic inputs to impact assessments; and for further development of assessment methods to improve their practical utility to decision-makers. Finally, we propose a new institutional model for assessment, based principally on regional efforts that integrate observations, research, data, applications, and assessment on climate and linked environmental-change issues. The proposed program will require effective collaboration between scientists, resource managers, and other stakeholders, all of whose expertise is needed to define and prioritize key regional issues, characterize relevant uncertainties, and assess potential responses. While both scientifically and organizationally challenging, such an integrated program holds the best promise of advancing our capacity to manage resources and the economy adaptively under a changing climate.</span></p>","language":"English","publisher":"Springer","doi":"10.1023/A:1022188519982","usgsCitation":"Parson, E.A., Corell, R.W., Barron, E., Burkett, V., Janetos, A., Joyce, L., Karl, T.R., MacCracken, M.C., Melillo, J., Morgan, M.G., Schimel, D.S., and Wilbanks, T., 2003, Understanding climatic impacts, vulnerabilities, and adaptation in the United States: Building a capacity for assessment: Climatic Change, v. 57, no. 1-2, p. 9-42, https://doi.org/10.1023/A:1022188519982.","productDescription":"34 p.","startPage":"9","endPage":"42","costCenters":[{"id":455,"text":"National Wetlands Research Center","active":true,"usgs":true},{"id":17705,"text":"Wetland and Aquatic Research 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