During the 1999 drought in Rhode Island, belowaverage precipitation caused a drop in ground-water levels and streamflow was below long-term averages. The low water levels prompted the U. S. Geological Survey and the Rhode Island Water Resources Board to conduct a series of cooperative water-use studies. The purpose of these studies is to collect and analyze water-use and water-availability data in each drainage area in the State of Rhode Island. The West Narragansett Bay study area, which covers 118 square miles in part or all of 14 towns in coastal Rhode Island, is one of nine areas investigated as part of this effort. The study area includes the western part of Narragansett Bay and Conanicut Island, which is the town of Jamestown. The area was divided into six subbasins for the assessment of water-use data. In the calculation of hydrologic budget and water availability, the Hunt, Annaquatucket, and Pettaquamscutt River Basins were combined into one subbasin because they are hydraulically connected.
Eleven major water suppliers served customers in the study area, and they supplied an average of 19.301 million gallons per day during 1995–99. The withdrawals from the only minor supplier, which was in the town of East Greenwich in the Hunt River Basin, averaged 0.002 million gallons per day. The remaining withdrawals were estimated as 1.186 million gallons per day from self-supplied domestic, commercial, industrial, and agricultural users. Return flows from self-disposed water (individual sewage-disposal systems) and permitted discharges accounted for 5.623 million gallons per day. Most publicly disposed water (13.711 million gallons per day) was collected by the Rhode Island Economic Development Corporation, and by the East Greenwich, Fields Point, Jamestown, Narragansett, and Scarborough wastewater-treatment facilities. This wastewater was disposed in Narragansett Bay outside of the study area.
The PART program, a computerized hydrograph-separation application, was used to determine water availability in the study area on the basis of low flows measured at a nearby index station, the Pawcatuck River at Wood River Junction, Rhode Island. Water availability was defined as the 75th, 50th, and 25th percentiles of the total base flow; the base flow minus the 7-day, 10-year flow; and the base flow minus the Aquatic Base Flow at the index station. The base-flow contributions per unit area of sand and gravel deposits and of till were computed for June, July, August, and September for the index station and multiplied by the areas of sand and gravel and till in the subbasins. The calculated base flows at the index station were lowest in August at the 75th, 50th, and 25th percentiles for total base flow and for two additional low-flow scenarios.
Because water withdrawals and use are greater during June, July, August, and September than at other times of the year, water availability was compared to water withdrawals in the subbasins for these summer months. Ratios were calculated by dividing the summer withdrawals by the water availability at the 75th, 50th, and 25th percentiles, and these percentiles of the base flow minus the two low flows for each subbasin. The closer this ratio is to one, the closer the withdrawals are to the estimated water available. These ratios allow comparisons of the use of water to the available water from one subbasin to another. The ratios were highest in July for the 50th percentile of the estimated gross yield minus the Aquatic Base Flow. The ratios ranged from 0.01 in the Providence and Seekonk subbasin to 0.38 in the Hunt-Annaquatucket-Pettaquamscutt subbasin for the 50th percentile of the gross yield minus the 7Q10 for August.
A long-term (1941–2000) water budget was calculated for the study area to assess the basin inflows and outflows. The water withdrawals and return flows used in the budget were from 1995 through 1999. Inflow was assumed to equal outflow. The total water budget was 146.29 million gallons per day for the combined Hunt-Annaquatucket-Pettaquamscutt subbasin, 48.71 million gallons per day for the Greenwich Bay subbasin, 238.98 million gallons per day for the Providence and Seekonk Rivers subbasin, and 21.32 million gallons per day for the Conanicut Island subbasin. The estimated inflows from precipitation, streamflow from upstream basins, and wastewater return flow for the entire study area were 59.3, 38.5, and 2.2 percent, respectively. The estimated outflows for the study area from evapotranspiration, streamflow, and water withdrawals were 24.9, 73.9, and 1.2 percent, respectively.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055256","collaboration":"In cooperation with the Rhode Island Water Resources Board","usgsCitation":"Nimiroski, M.T., and Wild, E.C., 2006, Water use and availability in the West Narragansett Bay area, coastal Rhode Island, 1995-99: U.S. Geological Survey Scientific Investigations Report 2005-5256, vii, 54 p., https://doi.org/10.3133/sir20055256.","productDescription":"vii, 54 p.","numberOfPages":"61","temporalStart":"1995-01-01","temporalEnd":"1999-12-31","costCenters":[{"id":377,"text":"Massachusetts-Rhode Island Water Science Center","active":false,"usgs":true}],"links":[{"id":194477,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8060,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5256/","linkFileType":{"id":5,"text":"html"}}],"scale":"0","country":"United States","state":"Rhode Island","otherGeospatial":"West Narragansett Bay","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -71.37954711914061,\n 41.89307729913167\n ],\n [\n -71.42074584960938,\n 41.86956082699455\n ],\n [\n -71.42898559570312,\n 41.83887416186901\n ],\n [\n -71.45095825195312,\n 41.81738473661009\n ],\n [\n -71.41525268554688,\n 41.78360106648078\n ],\n [\n -71.38916015625,\n 41.7559466348148\n ],\n [\n -71.44134521484374,\n 41.739553198140634\n ],\n [\n -71.466064453125,\n 41.72315557551985\n ],\n [\n -71.51275634765625,\n 41.725205507257044\n ],\n [\n -71.54434204101562,\n 41.712904935827744\n ],\n [\n -71.56082153320312,\n 41.68932225997044\n ],\n [\n -71.58416748046875,\n 41.66367910784373\n ],\n [\n -71.57318115234375,\n 41.6298145037586\n ],\n [\n -71.54708862304688,\n 41.60209386160467\n ],\n [\n -71.53884887695312,\n 41.575388650111094\n ],\n [\n -71.50726318359375,\n 41.54353338440556\n ],\n [\n -71.46194458007812,\n 41.51063406062076\n ],\n [\n -71.45919799804688,\n 41.48697733905995\n ],\n [\n -71.46194458007812,\n 41.4684573556768\n ],\n [\n -71.48117065429688,\n 41.445814633981875\n ],\n [\n -71.49215698242188,\n 41.422134246213616\n ],\n [\n -71.47979736328125,\n 41.41904486310779\n ],\n [\n -71.47979736328125,\n 41.395354710280166\n ],\n [\n -71.50039672851562,\n 41.36341083816149\n ],\n [\n -71.466064453125,\n 41.35516471140717\n ],\n [\n -71.46743774414062,\n 41.37680856570233\n ],\n [\n -71.44958496093749,\n 41.40668586105652\n ],\n [\n -71.39328002929688,\n 41.43963797438237\n ],\n [\n -71.36993408203125,\n 41.46537017728069\n ],\n [\n -71.34658813476562,\n 41.47977575214487\n ],\n [\n -71.35208129882812,\n 41.53325414281322\n ],\n [\n -71.35620117187499,\n 41.56819689811343\n ],\n [\n -71.37130737304686,\n 41.586688356972346\n ],\n [\n -71.38641357421875,\n 41.611335399441735\n ],\n [\n -71.38092041015625,\n 41.64007838467894\n ],\n [\n -71.36581420898438,\n 41.66778269875831\n ],\n [\n -71.35345458984375,\n 41.69547509615208\n ],\n [\n -71.34384155273438,\n 41.71905551584262\n ],\n [\n -71.3671875,\n 41.740577910570785\n ],\n [\n -71.3726806640625,\n 41.7631174470059\n ],\n [\n -71.37130737304686,\n 41.78769700539063\n ],\n [\n -71.39739990234375,\n 41.80817277478235\n ],\n [\n -71.3836669921875,\n 41.82761869589464\n ],\n [\n -71.37130737304686,\n 41.840920397579936\n ],\n [\n -71.36993408203125,\n 41.85421933478601\n ],\n [\n -71.33285522460936,\n 41.86240192202145\n ],\n [\n -71.34109497070312,\n 41.875696393231\n ],\n [\n -71.34109497070312,\n 41.898188430430444\n ],\n [\n -71.37954711914061,\n 41.89307729913167\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a0de4b07f02db5fd1ac","contributors":{"authors":[{"text":"Nimiroski, Mark T.","contributorId":65898,"corporation":false,"usgs":true,"family":"Nimiroski","given":"Mark","email":"","middleInitial":"T.","affiliations":[],"preferred":false,"id":288119,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wild, Emily C. 0000-0001-6157-7629 ecwild@usgs.gov","orcid":"https://orcid.org/0000-0001-6157-7629","contributorId":1810,"corporation":false,"usgs":true,"family":"Wild","given":"Emily","email":"ecwild@usgs.gov","middleInitial":"C.","affiliations":[{"id":5081,"text":"Libraries","active":false,"usgs":true}],"preferred":false,"id":288118,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":76886,"text":"sir20065038 - 2006 - Simulation of nutrient and sediment concentrations and loads in the Delaware inland bays watershed: Extension of the hydrologic and water-quality model to ungaged segments","interactions":[],"lastModifiedDate":"2023-04-18T19:27:54.58084","indexId":"sir20065038","displayToPublicDate":"2006-06-30T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5038","title":"Simulation of nutrient and sediment concentrations and loads in the Delaware inland bays watershed: Extension of the hydrologic and water-quality model to ungaged segments","docAbstract":"Rapid population increases, agriculture, and industrial practices have been identified as important sources of excessive nutrients and sediments in the Delaware Inland Bays watershed. The amount and effect of excessive nutrients and sediments in the Inland Bays watershed have been well documented by the Delaware Geological Survey, the Delaware Department of Natural Resources and Environmental Control, the U.S. Environmental Protection Agency’s National Estuary Program, the Delaware Center for Inland Bays, the University of Delaware, and other agencies. This documentation and data previously were used to develop a hydrologic and water-quality model of the Delaware Inland Bays watershed to simulate nutrients and sediment concentrations and loads, and to calibrate the model by comparing concentrations and streamflow data at six stations in the watershed over a limited period of time (October 1998 through April 2000). Although the model predictions of nutrient and sediment concentrations for the calibrated segments were fairly accurate, the predictions for the 28 ungaged segments located near tidal areas, where stream data were not available, were above the range of values measured in the area.
The cooperative study established in 2000 by the Delaware Department of Natural Resources and Environmental Control, the Delaware Geological Survey, and the U.S. Geological Survey was extended to evaluate the model predictions in ungaged segments and to ensure that the model, developed as a planning and management tool, could accurately predict nutrient and sediment concentrations within the measured range of values in the area. The evaluation of the predictions was limited to the period of calibration (1999) of the 2003 model.
To develop estimates on ungaged watersheds, parameter values from calibrated segments are transferred to the ungaged segments; however, accurate predictions are unlikely where parameter transference is subject to error. The unexpected nutrient and sediment concentrations simulated with the 2003 model were likely the result of inappropriate criteria for the transference of parameter values. From a model-simulation perspective, it is a common practice to transfer parameter values based on the similarity of soils or the similarity of land-use proportions between segments. For the Inland Bays model, the similarity of soils between segments was used as the basis to transfer parameter values. An alternative approach, which is documented in this report, is based on the similarity of the spatial distribution of the land use between segments and the similarity of land-use proportions, as these can be important factors for the transference of parameter values in lumped models. Previous work determined that the difference in the variation of runoff due to various spatial distributions of land use within a watershed can cause substantialloss of accuracy in the model predictions.
The incorporation of the spatial distribution of land use to transfer parameter values from calibrated to uncalibrated segments provided more consistent and rational predictions of flow, especially during the summer, and consequently, predictions of lower nutrient concentrations during the same period. For the segments where the similarity of spatial distribution of land use was not clearly established with a calibrated segment, the similarity of the location of the most impervious areas was also used as a criterion for the transference of parameter values.
The model predictions from the 28 ungaged segments were verified through comparison with measured in-stream concentrations from local and nearby streams provided by the Delaware Department of Natural Resources and Environmental Control. Model results indicated that the predicted edge-of-stream total suspended solids loads in the Inland Bays watershed were low in comparison to loads reported for the Eastern Shore of Maryland from the Chesapeake Bay watershed model. The flatness of the terrain and the low annual surface runoff are important factors in determining the amount of detached sediment from the land that is delivered to streams. The highest predicted total suspended solids loads were found in the southern part of the watershed, where the values are associated with high total streamflow and a high surface-runoff component, and related to soil and aquifer permeability and land use. Nutrient loads from model segments in the southern part of the Inland Bays watershed were also higher than those measured in the northern part of the basin, due to relatively high runoff and the substantial amount of available organic fertilizer (animal waste) that results in over-application of organic fertilizer to crops.
Time series of simulated hourly concentrations indicated a seasonal pattern in the simulated base flow for total nitrogen, with the lowest values occurring during the summer and the highest values during the winter months. Total phosphorus and total-suspended-solids concentrations were less seasonal and were more storm-dependent; in general, base-flow concentrations of total phosphorus and total suspended solids were low. During storm events, the total nitrogen concentrations tended to be diluted and total phosphorus concentrations tended to rise sharply. Nitrogen was transported mainly in the aqueous phase and largely through ground water, whereas phosphorus was strongly associated with sediment, which washes off during rainfall events.
","language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/sir20065038","usgsCitation":"Gutierrez-Magness, A.L., 2006, Simulation of nutrient and sediment concentrations and loads in the Delaware inland bays watershed: Extension of the hydrologic and water-quality model to ungaged segments: U.S. Geological Survey Scientific Investigations Report 2006-5038, v, 26 p., https://doi.org/10.3133/sir20065038.","productDescription":"v, 26 p.","numberOfPages":"31","costCenters":[{"id":41514,"text":"Maryland-Delaware-District of Columbia Water Science Center","active":true,"usgs":true}],"links":[{"id":120781,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2006_5038.jpg"},{"id":415936,"rank":3,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_78360.htm","linkFileType":{"id":5,"text":"html"}},{"id":8831,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5038/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Delaware","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -75.4186,\n 38.4489\n ],\n [\n -75.4186,\n 38.8069\n ],\n [\n -75.045,\n 38.8069\n ],\n [\n -75.045,\n 38.4489\n ],\n [\n -75.4186,\n 38.4489\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4afee4b07f02db697854","contributors":{"authors":[{"text":"Gutierrez-Magness, Angelica L.","contributorId":36995,"corporation":false,"usgs":true,"family":"Gutierrez-Magness","given":"Angelica","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":288081,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":76836,"text":"ofr20061101 - 2006 - User's Guide, software for reduction and analysis of daily weather and surface-water data: Tools for time series analysis of precipitation, temperature, and streamflow data","interactions":[],"lastModifiedDate":"2012-02-02T00:14:22","indexId":"ofr20061101","displayToPublicDate":"2006-06-20T00:00:00","publicationYear":"2006","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":"2006-1101","title":"User's Guide, software for reduction and analysis of daily weather and surface-water data: Tools for time series analysis of precipitation, temperature, and streamflow data","docAbstract":"The software described here is used to process and analyze daily weather and surface-water data. The programs are refinements of earlier versions that include minor corrections and routines to calculate frequencies above a threshold on an annual or seasonal basis. Earlier versions of this software were used successfully to analyze historical precipitation patterns of the Mojave Desert and the southern Colorado Plateau regions, ecosystem response to climate variation, and variation of sediment-runoff frequency related to climate (Hereford and others, 2003; 2004; in press; Griffiths and others, 2006). The main program described here (Day_Cli_Ann_v5.3) uses daily data to develop a time\r\nseries of various statistics for a user specified accounting period such as a year or season. The statistics include averages and totals, but the emphasis is on the frequency of occurrence in days of relatively rare weather or runoff events. These statistics are indices of climate variation; for a discussion of climate indices, see the Climate Research Unit website of the University of East Anglia (http://www.cru.uea.ac.uk/projects/stardex/) and the Climate Change Indices web site (http://cccma.seos.uvic.ca/ETCCDMI/indices.html). Specifically, the indices computed with this software are the frequency of high intensity 24-hour rainfall, unusually warm temperature, and unusually high runoff. These rare, or extreme events, are those greater than the 90th percentile of precipitation, streamflow, or temperature computed for the period of record of weather or gaging stations. If they cluster in time over several decades, extreme events may produce detectable change in the physical landscape and ecosystem of a given region. Although the software has been tested on a variety of data, as with any software, the user should carefully evaluate the results with their data. The programs were designed for the range of precipitation, temperature, and streamflow measurements expected in the semiarid Southwest United States. The user is encouraged to review the examples provided with the software. The software is written in Fortran 90 with Fortran 95 extensions and was compiled with the Digital Visual Fortran compiler version 6.6. The executables run on Windows 2000 and XP, and they operate in a MS-DOS console window that has only very simple graphical options such as font size and color, background color, and size of the window. Error trapping was not written into the programs. Typically, when an error occurs, the console window closes without a message.","language":"ENGLISH","doi":"10.3133/ofr20061101","usgsCitation":"Hereford, R., 2006, User's Guide, software for reduction and analysis of daily weather and surface-water data: Tools for time series analysis of precipitation, temperature, and streamflow data (Version 1.0): U.S. Geological Survey Open-File Report 2006-1101, iii, 11 p., https://doi.org/10.3133/ofr20061101.","productDescription":"iii, 11 p.","numberOfPages":"14","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":647,"text":"Western Earth Surface Processes","active":false,"usgs":true}],"links":[{"id":194691,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8002,"rank":9999,"type":{"id":4,"text":"Application Site"},"url":"https://pubs.usgs.gov/of/2006/1101/of2006-1101_software.zip"},{"id":8003,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1101/","linkFileType":{"id":5,"text":"html"}}],"edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a17e4b07f02db60401d","contributors":{"authors":[{"text":"Hereford, Richard 0000-0002-0892-7367 rhereford@usgs.gov","orcid":"https://orcid.org/0000-0002-0892-7367","contributorId":3620,"corporation":false,"usgs":true,"family":"Hereford","given":"Richard","email":"rhereford@usgs.gov","affiliations":[{"id":312,"text":"Geology, Minerals, Energy, and Geophysics Science Center","active":true,"usgs":true}],"preferred":true,"id":287987,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ,{"id":76835,"text":"ofr20061084 - 2006 - Subsurface structure of the East Bay Plain ground-water basin: San Francisco Bay to the Hayward fault, Alameda County, California","interactions":[],"lastModifiedDate":"2023-04-04T21:46:44.495963","indexId":"ofr20061084","displayToPublicDate":"2006-06-20T00:00:00","publicationYear":"2006","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":"2006-1084","title":"Subsurface structure of the East Bay Plain ground-water basin: San Francisco Bay to the Hayward fault, Alameda County, California","docAbstract":"The area of California between the San Francisco Bay, San Pablo Bay, Santa Clara Valley, and the Diablo Ranges (East Bay Hills), commonly referred to as the 'East Bay', contains the East Bay Plain and Niles Cone ground-water basins. The area has a population of 1.46 million (2003 US Census), largely distributed among several cities, including Alameda, Berkeley, Fremont, Hayward, Newark, Oakland, San Leandro, San Lorenzo, and Union City. Major known tectonic structures in the East Bay area include the Hayward Fault and the Diablo Range to the east and a relatively deep sedimentary basin known as the San Leandro Basin beneath the eastern part of the bay. Known active faults, such as the Hayward, Calaveras, and San Andreas pose significant earthquake hazards to the region, and these and related faults also affect ground-water flow in the San Francisco Bay area. Because most of the valley comprising the San Francisco Bay area is covered by Holocene alluvium or water at the surface, our knowledge of the existence and locations of such faults, their potential hazards, and their effects on ground-water flow within the alluvial basins is incomplete.\r\n\r\nTo better understand the subsurface stratigraphy and structures and their effects on ground-water and earthquake hazards, the U.S. Geological Survey (USGS), in cooperation with the East Bay Municipal Utility District (EBMUD), acquired a series of high-resolution seismic reflection and refraction profiles across the East Bay Plain near San Leandro in June 2002. In this report, we present results of the seismic imaging investigations, with emphasis on ground water.","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20061084","usgsCitation":"Catchings, R.D., Borchers, J.W., Goldman, M.R., Gandhok, G., Ponce, D., and Steedman, C., 2006, Subsurface structure of the East Bay Plain ground-water basin: San Francisco Bay to the Hayward fault, Alameda County, California (Version 1.0): U.S. Geological Survey Open-File Report 2006-1084, Report: 45 p.; Image File Downloads, https://doi.org/10.3133/ofr20061084.","productDescription":"Report: 45 p.; Image File Downloads","numberOfPages":"68","onlineOnly":"Y","additionalOnlineFiles":"Y","costCenters":[{"id":234,"text":"Earthquake Hazards Program","active":true,"usgs":true},{"id":237,"text":"Earthquake Science Center","active":true,"usgs":true}],"links":[{"id":415197,"rank":5,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76687.htm","linkFileType":{"id":5,"text":"html"}},{"id":191995,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":8014,"rank":3,"type":{"id":14,"text":"Image"},"url":"https://pubs.usgs.gov/of/2006/1084/figures","linkFileType":{"id":5,"text":"html"}},{"id":8000,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1084/","linkFileType":{"id":5,"text":"html"}},{"id":8001,"rank":4,"type":{"id":25,"text":"Version History"},"url":"https://pubs.usgs.gov/of/2006/1084/version_history.txt","linkFileType":{"id":2,"text":"txt"}}],"country":"United States","state":"California","county":"Alameda County","otherGeospatial":"East Bay Plain ground-water basin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -122.1656,\n 37.7011\n ],\n [\n -122.1656,\n 37.6683\n ],\n [\n -122.1067,\n 37.6683\n ],\n [\n -122.1067,\n 37.7011\n ],\n [\n -122.1656,\n 37.7011\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","edition":"Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4b05e4b07f02db699954","contributors":{"authors":[{"text":"Catchings, R. 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This mapping tool utilizes information from a database about the oil and natural gas endowment of the United States-including physical locations of geologic and geographic data-and converts the data into visual layers. Portrayal and analysis of geologic features on an interactive map provide an excellent tool for understanding domestic oil and gas resources for strategic planning, formulating economic and energy policies, evaluating lands under the purview of the Federal Government, and developing sound environmental policies. 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The GIS project for the geologic assessment of undiscovered oil and gas in the Cotton Valley group and Travis Peak and Hosston formations, East Texas basin and Louisiana-Mississippi salt basins provinces: U.S. Geological Survey Data Series 69-E-7, 3 p., https://doi.org/10.3133/ds69E_chapter7.","productDescription":"3 p.","numberOfPages":"3","additionalOnlineFiles":"Y","costCenters":[{"id":407,"text":"National Assessment of Oil and Gas Project","active":false,"usgs":true}],"links":[{"id":194678,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":416398,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76636.htm","linkFileType":{"id":5,"text":"html"}},{"id":7990,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/REPORTS/69_E_CH_7.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7989,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Arkansas. 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Tabular data and graphical images in support of the U.S. Geological Survey National Oil and Gas Assessment--East Texas basin and Louisiana-Mississippi salt basins provinces, Jurassic Smackover Interior salt basins total petroleum system (504902), Cotton Valley group","interactions":[{"subject":{"id":76820,"text":"ds69E_chapter3 - 2006 - Chapter 3. Tabular data and graphical images in support of the U.S. Geological Survey National Oil and Gas Assessment--East Texas basin and Louisiana-Mississippi salt basins provinces, Jurassic Smackover Interior salt basins total petroleum system (504902), Cotton Valley group","indexId":"ds69E_chapter3","publicationYear":"2006","noYear":false,"title":"Chapter 3. 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Because of the number and variety of platforms and software available, graphical images are provided as .pdf files and tabular data are provided in a raw form as tab-delimited text files (.tab files).","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley group and Travis Peak-Hosston Formations, East Texas basin and Louisiana-Mississippi Salt Basins Provinces of the northern Gulf Coast region (Data Series 69-E)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds69E_chapter3","usgsCitation":"Klett, T., and Le, P., 2006, Chapter 3. Tabular data and graphical images in support of the U.S. Geological Survey National Oil and Gas Assessment--East Texas basin and Louisiana-Mississippi salt basins provinces, Jurassic Smackover Interior salt basins total petroleum system (504902), Cotton Valley group: U.S. Geological Survey Data Series 69-E-3, 16 p., https://doi.org/10.3133/ds69E_chapter3.","productDescription":"16 p.","numberOfPages":"16","additionalOnlineFiles":"Y","costCenters":[{"id":407,"text":"National Assessment of Oil and Gas Project","active":false,"usgs":true}],"links":[{"id":190654,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7980,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/","linkFileType":{"id":5,"text":"html"}},{"id":7979,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/REPORTS/69_E_CH_3.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":418779,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76636.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Arkansas. Florida, Georgia, Louisiana, Mississippi, Oklahoma, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.0,\n 29.6667\n ],\n [\n -85.0,\n 29.6667\n ],\n [\n -85.0,\n 34.33\n ],\n [\n -97.0,\n 34.33\n ],\n [\n -97.0,\n 29.6667\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49e3e4b07f02db5e5c39","contributors":{"authors":[{"text":"Klett, T. R. 0000-0001-9779-1168","orcid":"https://orcid.org/0000-0001-9779-1168","contributorId":83067,"corporation":false,"usgs":true,"family":"Klett","given":"T. R.","affiliations":[],"preferred":false,"id":287957,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Le, P. A. 0000-0003-2477-509X","orcid":"https://orcid.org/0000-0003-2477-509X","contributorId":64737,"corporation":false,"usgs":true,"family":"Le","given":"P. 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Assessment of undiscovered conventional oil and gas resources–Upper Jurassic-Lower Cretaceous Cotton Valley group, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces","docAbstract":"The Jurassic Smackover Interior Salt Basins Total Petroleum System is defined for this assessment to include (1) Upper Jurassic Smackover Formation carbonates and calcareous shales and (2) Upper Jurassic and Lower Cretaceous Cotton Valley Group organic-rich shales. The Jurassic Smackover Interior Salt Basins Total Petroleum System includes four conventional Cotton Valley assessment units: Cotton Valley Blanket Sandstone Gas (AU 50490201), Cotton Valley Massive Sandstone Gas (AU 50490202), Cotton Valley Updip Oil and Gas (AU 50490203), and Cotton Valley Hypothetical Updip Oil (AU 50490204). Together, these four assessment units are estimated to contain a mean undiscovered conventional resource of 29.81 million barrels of oil, 605.03 billion cubic feet of gas, and 19.00 million barrels of natural gas liquids.\n\nThe Cotton Valley Group represents the first major influx of clastic sediment into the ancestral Gulf of Mexico. Major depocenters were located in south-central Mississippi, along the Louisiana-Mississippi border, and in northeast Texas. Reservoir properties and production characteristics were used to identify two Cotton Valley Group sandstone trends across northern Louisiana and east Texas: a high-permeability blanket-sandstone trend and a downdip, low-permeability massive-sandstone trend. Pressure gradients throughout most of both trends are normal, which is characteristic of conventional rather than continuous basin-center gas accumulations. Indications that accumulations in this trend are conventional rather than continuous include (1) gas-water contacts in at least seven fields across the blanket-sandstone trend, (2) relatively high reservoir permeabilities, and (3) high gas-production rates without fracture stimulation. Permeability is sufficiently low in the massive-sandstone trend that gas-water transition zones are vertically extensive and gas-water contacts are poorly defined. The interpreted presence of gas-water contacts within the Cotton Valley massive-sandstone trend, however, suggests that accumulations in this trend are also conventional.","largerWorkType":{"id":18,"text":"Report"},"largerWorkTitle":"Petroleum systems and geologic assessment of undiscovered oil and gas, Cotton Valley group and Travis Peak-Hosston Formations, East Texas basin and Louisiana-Mississippi Salt Basins Provinces of the northern Gulf Coast region (Data Series 69-E)","largerWorkSubtype":{"id":5,"text":"USGS Numbered Series"},"language":"English","publisher":"U.S. Geological Survey","doi":"10.3133/ds69E_chapter2","usgsCitation":"Dyman, T.S., and Condon, S.M., 2006, Chapter 2. Assessment of undiscovered conventional oil and gas resources–Upper Jurassic-Lower Cretaceous Cotton Valley group, Jurassic Smackover interior salt basins total petroleum system, in the East Texas basin and Louisiana-Mississippi salt basins provinces: U.S. Geological Survey Data Series 69-E-2, 52 p., https://doi.org/10.3133/ds69E_chapter2.","productDescription":"52 p.","numberOfPages":"52","additionalOnlineFiles":"Y","costCenters":[{"id":407,"text":"National Assessment of Oil and Gas Project","active":false,"usgs":true}],"links":[{"id":192325,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7977,"rank":3,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/REPORTS/69_E_CH_2.pdf","linkFileType":{"id":1,"text":"pdf"}},{"id":7978,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/dds/dds-069/dds-069-e/","linkFileType":{"id":5,"text":"html"}},{"id":418778,"rank":4,"type":{"id":36,"text":"NGMDB Index Page"},"url":"https://ngmdb.usgs.gov/Prodesc/proddesc_76636.htm","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Alabama, Arkansas. Florida, Georgia, Louisiana, Mississippi, Oklahoma, Texas","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -97.0,\n 29.6667\n ],\n [\n -85.0,\n 29.6667\n ],\n [\n -85.0,\n 34.33\n ],\n [\n -97.0,\n 34.33\n ],\n [\n -97.0,\n 29.6667\n ]\n ]\n ]\n }\n }\n ]\n}","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4aa7e4b07f02db6671b0","contributors":{"authors":[{"text":"Dyman, T. S.","contributorId":21161,"corporation":false,"usgs":false,"family":"Dyman","given":"T.","middleInitial":"S.","affiliations":[],"preferred":false,"id":287954,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Condon, S. M.","contributorId":107688,"corporation":false,"usgs":true,"family":"Condon","given":"S.","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":287955,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":76785,"text":"ofr20061143 - 2006 - Simulated water budgets and ground-water/surface-water interactions in Bushkill and parts of Monocacy Creek watersheds, Northampton County, Pennsylvania: A preliminary study with identification of data needs","interactions":[],"lastModifiedDate":"2022-12-01T19:33:14.011523","indexId":"ofr20061143","displayToPublicDate":"2006-06-08T00:00:00","publicationYear":"2006","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":"2006-1143","title":"Simulated water budgets and ground-water/surface-water interactions in Bushkill and parts of Monocacy Creek watersheds, Northampton County, Pennsylvania: A preliminary study with identification of data needs","docAbstract":"This report, prepared in cooperation with the Department of Environmental Protection, Office of Mineral Resources Management, provides a preliminary analysis of water budgets and generalized ground-water/surface-water interactions for Bushkill and parts of Monocacy Creek watersheds in Northampton County, Pa., by use of a ground-water flow model. Bushkill Creek watershed was selected for study because it has areas of rapid growth, ground-water withdrawals from a quarry, and proposed stream-channel modifications, all of which have the potential for altering ground-water budgets and the interaction between ground water and streams.
Preliminary 2-dimensional, steady-state simulations of ground-water flow by the use of MODFLOW are presented to show the status of work through September 2005 and help guide ongoing data collection in Bushkill Creek watershed. Simulations were conducted for (1) predevelopment conditions, (2) a water table lowered for quarry operations, and (3) anthropogenic changes in hydraulic conductivity of the streambed and aquifer. Preliminary results indicated under predevelopment conditions, the divide between the Bushkill and Monocacy Creek ground-water basins may not have been coincident with the topographic divide and as much as 14 percent of the ground-water discharge to Bushkill Creek may have originated from recharge in the Monocacy Creek watershed. For simulated predevelopment conditions, Schoeneck Creek and parts of Monocacy Creek were dry, but Bushkill Creek was gaining throughout all reaches.
Simulated lowering of the deepest quarry sump to an altitude of 147 feet for quarry operations caused ground-water recharge and streamflow leakage to be diverted to the quarry throughout about 14 square miles and caused reaches of Bushkill and Little Bushkill Creeks to change from gaining to losing streams. Lowering the deepest quarry sump to an altitude of 100 feet caused simulated ground-water discharge to the quarry to increase about 4 cubic feet per second. Raising the deepest sump to an altitude of 200 feet caused the simulated discharge to the quarry to decrease about 14 cubic feet per second.Decreasing the hydraulic conductivity of the streambed of Bushkill Creek in the reach of large losses of flow caused simulated ground-water levels to decline and ground-water discharge to a quarry to decrease from 74 to 45 cubic feet per second.
Decreasing the hydraulic conductivity of a hypothesized highly transmissive zone with a plug of relatively impermeable material caused ground-water levels to increase east of the plug and decline west of the plug, and decreased the discharge to a quarry from 74 to 53 cubic feet per second. Preliminary results of the study have significant limitations, which need to be recognized by the user. The results demonstrated the usefulness of ground-water modeling with available data sets, but as more data become available through field studies, a more complete evaluation could be conducted of the preliminary assumptions in the conceptual model, model sensitivity, and effects of boundary conditions. Additional streamflow and ground-water-level measurements would be needed to better quantify recharge and aquifer properties, particularly the anisotropy of carbonate rocks. Measurements of streamflow losses at average, steady-state hydrologic conditions could provide a more accurate estimate of ground-water recharge from this source, which directly affects water budgets and contributing areas simulated by the model.
The U.S. Geological Survey (USGS), in cooperation with the Grand Portage Band of Chippewa Indians, applied three techniques to assess ground-water/surface-water interaction in nearshore areas of three lakes (North, Teal, and Taylor) on the Grand Portage Reservation in northeastern Minnesota. At each lake, analyses of existing aerial photographs, in-situ temperature measurements of shoreline lake sediment, and chemical analyses of surface water and pore water were conducted. Surface-water and pore-water samples were analyzed for major constituents, nutrients, and stable isotopes of oxygen and hydrogen. Bulk precipitation samples were collected and analyzed (1) for nutrient concentrations to determine nutrient input to the lakes through atmospheric deposition and (2) for stable isotope ratios of oxygen and hydrogen to determine a meteoric waterline that was needed for the stable isotope analyses of surface-water and pore-water samples.
\nTotal nitrogen concentrations in the precipitation samples ranged from 0.51 to 8.4 mg/L (milligrams per liter) as nitrogen at the North Lake precipitation station and from 0.42 to 2.3 mg/L as nitrogen at the Grand Portage precipitation station. Oxygen-18/oxygen-16 and deuterium/protium isotope ratios for the bulk precipitation samples lie relatively close to a meteoric waterline for northern Wisconsin, except for the ratios for samples collected on May 20, 2004.
\nAnalyses of existing aerial photographs, nearshore lake-sediment temperatures, and seasonal isotope ratios of surface-water and pore-water samples were the most valuable data for identifying locations of ground-water inflow and surface-water outseepage. Analyses of existing aerial photographs of the three lakes indicated the location of potential inflow channels and lineaments identifying potential ground-water inflow locations for pore-water sampling. Lake-sediment temperatures at potential ground-water inflow locations ranged from 4 to 16 ºC, varying between lakes, seasons, and climatic conditions. Major constituent chemistry was valuable at Taylor Lake, and to a limited extent at North and Teal Lakes, in confirming results from the isotope and lake-sediment temperature data.
\nGround-water inflow to North Lake likely occurs along the southwest and south shores, and along portions of the west, southeast, north, and northeast shores. Relatively cool lake-sediment temperatures along the southwest, south, west, and southeast shores, and in isolated beaver channels along the north and northeast shores of North Lake indicate potential ground-water inflow at these locations. Both localized ground-water inflow and surface-water outseepage occurs along portions of the north, northeast, southeast, and south shores, varying seasonally. Conflicting evidence for ground-water flow conditions exist for the northwest and north-northwest pore-water samples. Only minor differences in the major constituent concentrations were seen between the surface-water and pore-water samples from the North Lake area with the exception of iron and manganese concentrations.
Ground-water inflow likely takes place along the south-southwest and north shores of Teal Lake, with a mixture of ground-water inflow and surface-water outseepage occurring in other areas of the lake. Cooler lake-sediment temperatures occurred along the south-southwest, west, and northwest shores, portions of the north shore, and in channels identified in aerial photographs throughout the lake, indicating potential ground-water inflow at those locations. Warmer lake-sediment temperatures along the northeast and portions of the southwest and northwest shores of Teal Lake indicate potential locations where surface-water outseepage or little ground- and surface-water interaction occurs. The major constituent concentrations were higher in the pore-water samples collected from the south-southwest and northeast shores of Teal Lake, indicating ground-water inflow. Cation adsorption, cation exchanges with hydrogen ions, and chelation with organic materials occurring in the fen surrounding the lake likely resulted in the low dissolved calcium, magnesium, and sodium concentrations in north, northwest, and west pore-water samples from the Teal Lake area. Pore-water samples from the south-southwest, north, and southwest shores of Teal Lake had isotopic compositions that plotted closest to the meteoric waterline, indicating that little evaporation or transpiration occurred in these samples and that ground-water inflow may be occurring at these locations. Surface-water outseepage from Teal Lake likely occurs along the northeast shore even though major constituent concentrations were high. Major constituent concentrations may be high because of a nearby beaver dam.
Ground-water inflow to Taylor Lake likely occurs at the north and south pore-water sampling sites. Higher major constituent concentrations and the least evaporative isotope ratios were found in pore-water samples along the south, north, and west shores of Taylor Lake, indicating potential locations of ground-water inflow. However, a combination of warmer and cooler lake-sediment temperatures along the west lowland indicated that ground-water inflow and surface-water outseepage may occur at that location. Surface-water outseepage likely occurs from Taylor Lake along the south shore through a surface-water drainage channel to a downgradient bog. Warmer lake-sediment temperatures along portions of the south and southeast shores indicate that surface-water outseepage may occur at those locations. Both ground-water inflow and surface-water outseepage may occur along the west, southeast, and east shores of Taylor Lake, varying seasonally and with local precipitation.
\nKnowledge of general water-flow directions in lake watersheds and how they may change seasonally can help water-quality specialists and lake managers address a variety of water-quality and aquatic habitat protection issues for lakes. Results from this study indicate that ground-water and surface-water interactions at the study lakes are complex, and the ability of the applied techniques to identify ground-water inflow and surface-water outseepage locations varied among the lakes. Measurement of lake-sediment temperatures proved to be a reliable and relatively inexpensive reconnaissance technique that lake managers may apply in complex settings to identify general areas of ground-water inflow and surface-water outseepage.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20065034","collaboration":"Prepared in cooperation with the Grand Portage Band of Chippewa Indians","usgsCitation":"Jones, P.M., 2006, Ground-water/surface-water interaction in nearshore areas of Three Lakes on the Grand Portage Reservation, northeastern Minnesota, 2003-04: U.S. Geological Survey Scientific Investigations Report 2006-5034, vi, 49 p., https://doi.org/10.3133/sir20065034.","productDescription":"vi, 49 p.","numberOfPages":"56","onlineOnly":"N","additionalOnlineFiles":"N","temporalStart":"2003-01-01","temporalEnd":"2004-12-31","costCenters":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"links":[{"id":319739,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir20065034.JPG"},{"id":7883,"rank":1,"type":{"id":15,"text":"Index 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Etheostominae)","interactions":[],"lastModifiedDate":"2020-05-28T16:13:50.940545","indexId":"70210276","displayToPublicDate":"2006-05-28T10:54:37","publicationYear":"2006","noYear":false,"publicationType":{"id":2,"text":"Article"},"publicationSubtype":{"id":10,"text":"Journal Article"},"seriesTitle":{"id":1324,"text":"Conservation Genetics","active":true,"publicationSubtype":{"id":10}},"title":"Phylogeographic analyses suggest multiple lineages of Crystallaria asprella (Percidae: Etheostominae)","docAbstract":"The crystal darter, Crystallaria asprella, exists in geographically isolated populations that may be glacial relicts from its former, wide distribution in the Eastern U.S. An initial phylogeographic survey of C. asprella based upon the mitochondrial cytochrome b (cyt b) gene indicated that there were at least four distinct populations within the species: Ohio River basin, Upper Mississippi River, Gulf coast, and lower Mississippi River. In particular, the most divergent population was the most recently discovered, from the Elk River, WV, in the Ohio River basin, and it was postulated that this population represents an undescribed, potentially threatened species. However, differentiation observed at a single gene region is generally not considered sufficient evidence to establish taxonomic status. In the present study, nucleotide variation at the mitochondrial control region and a nuclear S7 ribosomal gene intron were compared to provide independent verification of phylogeographic results between individuals collected from the same five disjunct populations previously surveyed. Variation between populations at the control region was substantial (except between Gulf drainages) and was concordant with patterns of sequence divergence from cyt b. Only the Elk River population was resolved as monophyletic based upon nuclear S7, but significant differences based upon ΦST statistics were observed between most populations. Morphometric data were consistent with molecular data regarding the distinctiveness of the Elk River population. It is proposed that populations of C. asprella consist of at least four distinct population segments, and that the Elk River group likely constitutes a distinct species.
","language":"English","publisher":"Springer Nature","doi":"10.1007/s10592-005-5681-8","usgsCitation":"Morrison, C., Lemarie, D.P., Wood, R., and King, T., 2006, Phylogeographic analyses suggest multiple lineages of Crystallaria asprella (Percidae: Etheostominae): Conservation Genetics, v. 7, p. 129-147, https://doi.org/10.1007/s10592-005-5681-8.","productDescription":"19 p.","startPage":"129","endPage":"147","costCenters":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"links":[{"id":375107,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/outside_thumb.jpg"}],"country":"United States","state":"Alabama, Arkansas, Georgia, Louisiana, Mississippi, Minnesota, Virginia, West Virginia, Wisconsin","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -91.23046875,\n 45.213003555993964\n ],\n [\n -93.33984375,\n 45.213003555993964\n ],\n [\n -93.33984375,\n 44.08758502824516\n ],\n [\n -90.52734374999999,\n 44.15068115978094\n ],\n [\n -91.23046875,\n 45.213003555993964\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -93.42773437499999,\n 33.797408767572485\n ],\n [\n -93.07617187499999,\n 32.02670629333614\n ],\n [\n -91.93359375,\n 32.24997445586331\n ],\n [\n -91.34033203125,\n 34.07086232376631\n ],\n [\n -92.46093749999999,\n 34.65128519895413\n ],\n [\n -93.4716796875,\n 34.361576287484176\n ],\n [\n -93.42773437499999,\n 33.797408767572485\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -90.50537109375,\n 32.36140331527543\n ],\n [\n -90.54931640625,\n 30.713503990354965\n ],\n [\n -84.72656249999999,\n 32.84267363195431\n ],\n [\n -84.90234375,\n 34.08906131584994\n ],\n [\n -89.033203125,\n 33.7243396617476\n ],\n [\n -90.50537109375,\n 32.36140331527543\n ]\n ]\n ]\n }\n },\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -81.76025390625,\n 38.47939467327645\n ],\n [\n -81.650390625,\n 36.40359962073253\n ],\n [\n -80.68359375,\n 36.1733569352216\n ],\n [\n -79.73876953125,\n 37.70120736474139\n ],\n [\n -80.04638671875,\n 38.685509760012\n ],\n [\n -81.76025390625,\n 38.47939467327645\n ]\n ]\n ]\n }\n }\n ]\n}","volume":"7","noUsgsAuthors":false,"publicationStatus":"PW","contributors":{"authors":[{"text":"Morrison, Cheryl 0000-0001-9425-691X cmorrison@usgs.gov","orcid":"https://orcid.org/0000-0001-9425-691X","contributorId":202644,"corporation":false,"usgs":true,"family":"Morrison","given":"Cheryl","email":"cmorrison@usgs.gov","affiliations":[{"id":365,"text":"Leetown Science Center","active":true,"usgs":true}],"preferred":true,"id":789911,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lemarie, David P.","contributorId":30914,"corporation":false,"usgs":true,"family":"Lemarie","given":"David","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":789912,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Wood, R.M.","contributorId":80907,"corporation":false,"usgs":true,"family":"Wood","given":"R.M.","email":"","affiliations":[],"preferred":false,"id":789913,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"King, T.L.","contributorId":93416,"corporation":false,"usgs":true,"family":"King","given":"T.L.","email":"","affiliations":[],"preferred":false,"id":789914,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":76744,"text":"ofr20061119 - 2006 - Magnetotelluric survey to locate the Archean/Proterozoic suture zone north of Wells, Nevada","interactions":[],"lastModifiedDate":"2012-02-02T00:14:06","indexId":"ofr20061119","displayToPublicDate":"2006-05-25T00:00:00","publicationYear":"2006","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":"2006-1119","title":"Magnetotelluric survey to locate the Archean/Proterozoic suture zone north of Wells, Nevada","docAbstract":"It is important to know whether major mining districts in the Northern Nevada Gold Province are underlain by rocks of the Archean Wyoming craton, which are known to contain orogenic gold deposits, or by accreted rocks of the Paleoproterozoic Mojave province. It is also important to know the location and orientation of the Archean/Proterozoic suture zone between these provinces as well as major basement structures within these terranes because they may influence subsequent patterns of sedimentation, deformation, magmatism, and hydrothermal activity. The Archean was the main gold-mineralization period, and Archean lode-gold deposits were formed at mid-crustal depths along major shear zones.\r\n\r\nThe nature of the crystalline basement below the Northern Nevada Gold Province and the location of major faults within it are relevant to Rodinian reconstructions, crustal development, and ore deposit models (e.g., Hofstra and Cline, 2000; Grauch and others, 2003). According to Whitmeyer and Karlstrom (2004), the Archean cratons of the northwestern United States and Canada had stabilized as continental lithosphere by 2.5 Ga, and were rifted and assembled into a large continental mass by 1.8 Ga, to which the 1.73-1.68 Ga Mohave province was accreted by 1.65 Ga. The Archean/Proterozoic suture zone has a west-southwest strike where it is exposed (Reed, 1993) at the eastern Utah and southwestern Wyoming border (Cheyenne Belt) where it is characterized by an up to 7-km-thick mylonite zone (Smithson and Boyd, 1998). In the Great Basin, the strike of the Archean/Proterozoic suture zone is poorly constrained because it is largely concealed below a Neoproterozoic-Paleozoic miogeocline and basin fill. East-west and southwest-northeast strikes for the Archean/Proterozoic suture zone have been inferred based on Sr, Nd, and Pb isotopic compositions of granitoid intrusions (Tosdal and others, 2000). To better constrain the location and strike of the Archean/Proterozoic suture zone below cover, three regional north-south magnetotelluric (MT) sounding profiles were acquired in western Utah and northeastern Nevada (Williams and Rodriguez, 2003; 2004; 2005), and one east-west MT sounding profile (fig. 1) MT sounding profile was acquired in northeastern Nevada. Resistivity modeling of the MT data can be used to investigate buried structures or sutures that may have influenced subsequent regional fluid flow and localized mineralization. The purpose of this report is to release the MT sounding data collected along the east-west profile in northeastern Nevada; no interpretation of the data is included.","language":"ENGLISH","doi":"10.3133/ofr20061119","usgsCitation":"Williams, J.M., and Rodriguez, B.D., 2006, Magnetotelluric survey to locate the Archean/Proterozoic suture zone north of Wells, Nevada (Revised and reprinted; Version 1.0): U.S. Geological Survey Open-File Report 2006-1119, iii, 93 p.; MT plot appendix [88 p.], https://doi.org/10.3133/ofr20061119.","productDescription":"iii, 93 p.; MT plot appendix [88 p.]","onlineOnly":"Y","costCenters":[],"links":[{"id":438861,"rank":101,"type":{"id":30,"text":"Data Release"},"url":"https://doi.org/10.5066/F7GH9GW0","text":"USGS data release","linkHelpText":"Magnetotelluric sounding data, stations 26 to 36, north of Wells, Nevada, 2005"},{"id":192586,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7840,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1119/","linkFileType":{"id":5,"text":"html"}}],"edition":"Revised and reprinted; Version 1.0","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a80e4b07f02db6494a2","contributors":{"authors":[{"text":"Williams, Jackie M.","contributorId":11217,"corporation":false,"usgs":true,"family":"Williams","given":"Jackie","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":287786,"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":287785,"contributorType":{"id":1,"text":"Authors"},"rank":2}]}} ,{"id":76690,"text":"sir20055284 - 2006 - Estimation of shallow ground-water recharge in the Great Lakes basin","interactions":[],"lastModifiedDate":"2017-01-20T12:45:10","indexId":"sir20055284","displayToPublicDate":"2006-05-04T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5284","title":"Estimation of shallow ground-water recharge in the Great Lakes basin","docAbstract":"This report presents the results of the first known integrated study of long-term average ground-water recharge to shallow aquifers (generally less than 100 feet deep) in the United States and Canada for the Great Lakes, upper St. Lawrence, and Ottawa River Basins. The approach used was consistent throughout the study area and allows direct comparison of recharge rates in disparate parts of the study area. Estimates of recharge are based on base-flow estimates for streams throughout the Great Lakes Basin and the assumption that base flow in a given stream is equal to the amount of shallow ground-water recharge to the surrounding watershed, minus losses to evapotranspiration. Base-flow estimates were developed throughout the study area using a single model based on an empirical relation between measured base-flow characteristics at streamflow-gaging stations and the surficial-geologic materials, which consist of bedrock, coarse-textured deposits, fine-textured deposits, till, and organic matter, in the surrounding surface-water watershed. Model calibration was performed using base-flow index (BFI) estimates for 959 stations in the U.S. and Canada using a combined 28,784 years of daily streamflow record determined using the hydrograph-separation software program PART.
Results are presented for watersheds represented by 8-digit hydrologic unit code (HUC, U.S.) and tertiary (Canada) watersheds. Recharge values were lowest (1.6-4.0 inches/year) in the eastern Lower Peninsula of Michigan; southwest of Green Bay, Wisconsin; in northwestern Ohio; and immediately south of the St. Lawrence River northeast of Lake Ontario. Recharge values were highest (12-16.8 inches/year) in snow shadow areas east and southeast of each Great Lake. Further studies of deep aquifer recharge and the temporal variability of recharge would be needed to gain a more complete understanding of ground-water recharge in the Great Lakes Basin.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055284","collaboration":"In cooperation with the National Water Research Institute, Environment Canada National Assessment of Water Availability and Use Program","usgsCitation":"Neff, B., Piggott, A., and Sheets, R.A., 2006, Estimation of shallow ground-water recharge in the Great Lakes basin: U.S. Geological Survey Scientific Investigations Report 2005-5284, vi, 20 p., https://doi.org/10.3133/sir20055284.","productDescription":"vi, 20 p.","costCenters":[{"id":382,"text":"Michigan Water Science Center","active":true,"usgs":true}],"links":[{"id":190874,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7738,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5284/","linkFileType":{"id":5,"text":"html"}}],"country":"Canada, United States","otherGeospatial":"Great Lakes 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Contaminants, primarily volatile organic compounds and metals, have entered the ground-water-flow system through leakage from waste-disposal sites and manufacturing processes. Ground water flows from west to east toward the West Fork Trinity River. During October 2004, the U.S. Geological Survey conducted a two-dimensional (2D) resistivity investigation at a site along the West Fork Trinity River at the eastern boundary of NAS-JRB to characterize the distribution of subsurface resistivity. Five 2D resistivity profiles were collected, which ranged from 500 to 750 feet long and extended to a depth of 25 feet. The Goodland Limestone and the underlying Walnut Formation form a confining unit that underlies the alluvial aquifer. The top of this confining unit is the top of bedrock at NAS-JRB. The bedrock confining unit is the zone of interest because of the potential for contaminated ground water to enter the West Fork Trinity River through saturated bedrock. The study involved a capacitively-coupled resistivity survey and inverse modeling to obtain true or actual resistivity from apparent resistivity. The apparent resistivity was processed using an inverse modeling software program. The results of this program were used to generate distributions (images) of actual resistivity referred to as inverted sections or profiles. The images along the five profiles show a wide range of resistivity values. 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The current phase of this cooperative research program is directed toward studies of sea-floor topography and its effect on the distributions of sedimentary environments and benthic communities. Because anthropogenic wastes, toxic chemicals, and changes in land-use patterns resulting from residential, commercial, and recreational development have stressed the environment of the Sound, causing degradation and potential loss of benthic habitats (Koppelman and others, 1976; Long Island Sound Study, 1994), detailed maps of the sea floor are needed to help evaluate the extent of adverse impacts and to help manage resources wisely in the future.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/ofr20051145","isbn":"060798595X","usgsCitation":"Poppe, L., Ackerman, S.D., Doran, E.F., Beaver, A.L., Crocker, J.M., and Schattgen, P., 2006, Interpolation of reconnaissance multibeam bathymetry from north-central Long Island Sound: U.S. Geological Survey Open-File Report 2005-1145, HTML Document; 1 DVD-ROM, https://doi.org/10.3133/ofr20051145.","productDescription":"HTML Document; 1 DVD-ROM","additionalOnlineFiles":"Y","costCenters":[{"id":680,"text":"Woods Hole Science Center","active":false,"usgs":true}],"links":[{"id":7728,"rank":2,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2005/1145/index.html","linkFileType":{"id":5,"text":"html"}},{"id":194448,"rank":1,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/of/2005/1145/coverthb.jpg"}],"country":"United States","state":"Connecticut, New York","otherGeospatial":"Long Island Sound","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"coordinates\": [\n [\n [\n -71.78556530649055,\n 41.31072851257542\n ],\n [\n -72.27377103918643,\n 41.30851937203968\n ],\n [\n -72.97666965433311,\n 41.248844284803965\n ],\n [\n -73.35017644982976,\n 41.104958311094094\n ],\n [\n -73.59133831778816,\n 41.018475050676614\n ],\n [\n -73.57369232744912,\n 40.88075480977747\n ],\n [\n -73.12371957381994,\n 40.9385434311005\n ],\n [\n -72.59433986366781,\n 40.982961844651214\n ],\n [\n -72.24436105528927,\n 41.15369356282852\n ],\n [\n -71.76791931615153,\n 41.18690138662723\n ],\n [\n -71.78556530649055,\n 41.31072851257542\n ]\n ]\n ],\n \"type\": \"Polygon\"\n }\n }\n ]\n}","contact":"","noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e49dbe4b07f02db5e07cc","contributors":{"authors":[{"text":"Poppe, Lawrence J. lpoppe@usgs.gov","contributorId":2149,"corporation":false,"usgs":true,"family":"Poppe","given":"Lawrence J.","email":"lpoppe@usgs.gov","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":287603,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Ackerman, Seth D. 0000-0003-0945-2794 sackerman@usgs.gov","orcid":"https://orcid.org/0000-0003-0945-2794","contributorId":178676,"corporation":false,"usgs":true,"family":"Ackerman","given":"Seth","email":"sackerman@usgs.gov","middleInitial":"D.","affiliations":[{"id":678,"text":"Woods Hole Coastal and Marine Science Center","active":true,"usgs":true}],"preferred":false,"id":287605,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Doran, Elizabeth F.","contributorId":41539,"corporation":false,"usgs":true,"family":"Doran","given":"Elizabeth","email":"","middleInitial":"F.","affiliations":[],"preferred":false,"id":287607,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Beaver, Andrew L.","contributorId":78832,"corporation":false,"usgs":true,"family":"Beaver","given":"Andrew","email":"","middleInitial":"L.","affiliations":[],"preferred":false,"id":287608,"contributorType":{"id":1,"text":"Authors"},"rank":4},{"text":"Crocker, Jim M.","contributorId":36642,"corporation":false,"usgs":true,"family":"Crocker","given":"Jim","email":"","middleInitial":"M.","affiliations":[],"preferred":false,"id":287606,"contributorType":{"id":1,"text":"Authors"},"rank":5},{"text":"Schattgen, P.T.","contributorId":16525,"corporation":false,"usgs":true,"family":"Schattgen","given":"P.T.","email":"","affiliations":[],"preferred":false,"id":287604,"contributorType":{"id":1,"text":"Authors"},"rank":6}]}} ,{"id":76665,"text":"ofr20061086 - 2006 - EMMMA: A web-based system for environmental mercury mapping, modeling, and analysis","interactions":[],"lastModifiedDate":"2012-04-15T17:28:14","indexId":"ofr20061086","displayToPublicDate":"2006-04-28T00:00:00","publicationYear":"2006","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":"2006-1086","title":"EMMMA: A web-based system for environmental mercury mapping, modeling, and analysis","docAbstract":"Mercury in our environment - in our air, water, soil, and especially our food - poses significant hazards to human health, particularly for developing fetuses and young children. Because of the importance of this issue and the length of time it has been studied, large and complex data sets of mercury concentrations in various media and associated ancillary data have been generated by many Federal, State, Tribal, and local agencies. To facilitate efficient and effective use of these\ndata in managing and mitigating human and wildlife exposure to mercury, the U.S. Geological Survey (USGS) and the National Institute of Environmental Health Sciences have developed a website for visualizing and studying the distribution of mercury in our environment. The Environmental Mercury Mapping, Modeling, and Analysis (EMMMA) website (http://emmma.usgs.gov) provides health and environmental researchers, managers, and other decision-makers the ability to: 1) Interactively view and access a nationwide collection of environmental mercury data (fish\ntissue, atmospheric emissions and deposition, stream sediments, soils, and coal) and mercuryrelated data (mine locations); 2) Interactively view and access predictions of the National Descriptive Model of Mercury in Fish (NDMMF) at 4,976 sites and 6,829 sampling events (events are unique combinations of site and sampling date) across the United States; and 3) Use interactive mapping and graphing capabilities to visualize spatial and temporal trends and study relationships between mercury and other variables.","language":"ENGLISH","doi":"10.3133/ofr20061086","usgsCitation":"Hearn, Wente, S.P., Donato, D.I., and Aguinaldo, J.J., 2006, EMMMA: A web-based system for environmental mercury mapping, modeling, and analysis: U.S. Geological Survey Open-File Report 2006-1086, 17 p., https://doi.org/10.3133/ofr20061086.","productDescription":"17 p.","numberOfPages":"17","costCenters":[{"id":247,"text":"Eastern Region Geography","active":false,"usgs":true}],"links":[{"id":191252,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7715,"rank":300,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/of/2006/1086/","size":"150000","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a54e4b07f02db62c30c","contributors":{"authors":[{"text":"Hearn, Jr. phearn@usgs.gov","contributorId":1950,"corporation":false,"usgs":true,"family":"Hearn","suffix":"Jr.","email":"phearn@usgs.gov","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":false,"id":287554,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Wente, Stephen P.","contributorId":75226,"corporation":false,"usgs":true,"family":"Wente","given":"Stephen","email":"","middleInitial":"P.","affiliations":[],"preferred":false,"id":287557,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Donato, David I. 0000-0002-5412-0249 didonato@usgs.gov","orcid":"https://orcid.org/0000-0002-5412-0249","contributorId":2234,"corporation":false,"usgs":true,"family":"Donato","given":"David","email":"didonato@usgs.gov","middleInitial":"I.","affiliations":[{"id":242,"text":"Eastern Geographic Science Center","active":true,"usgs":true}],"preferred":true,"id":287555,"contributorType":{"id":1,"text":"Authors"},"rank":3},{"text":"Aguinaldo, John J.","contributorId":73287,"corporation":false,"usgs":true,"family":"Aguinaldo","given":"John","email":"","middleInitial":"J.","affiliations":[],"preferred":false,"id":287556,"contributorType":{"id":1,"text":"Authors"},"rank":4}]}} ,{"id":76564,"text":"sir20055266 - 2006 - Hydrogeology and simulation of ground-water flow in the Silurian-Devonian aquifer system, Johnson County, Iowa","interactions":[],"lastModifiedDate":"2016-01-29T15:39:42","indexId":"sir20055266","displayToPublicDate":"2006-04-13T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2005-5266","title":"Hydrogeology and simulation of ground-water flow in the Silurian-Devonian aquifer system, Johnson County, Iowa","docAbstract":"Bedrock of Silurian and Devonian age (termed the “Silurian-Devonian aquifer system”) is the primary source of ground water for Johnson County in east-central Iowa. Population growth within municipal and suburban areas of the county has resulted in increased amounts of water withdrawn from this aquifer and water-level declines in some areas. A 3-year study of the hydrogeology of the Silurian-Devonian aquifer system in Johnson County was undertaken to provide a quantitative assessment of ground water resources and to construct a ground-water flow model that can be used by local governmental agencies as a management tool.
\nJohnson County is underlain by unconsolidated deposits of Quaternary age and Paleozoic-age bedrock units. The bulk of the Quaternary deposits consists of weathered and unweathered glacial till; however, shallow alluvium and buried sand and gravel deposits also are present. Six bedrock hydrogeologic units are present in Johnson County (oldest to youngest): Maquoketa confining unit, Silurian aquifer, Wapsipinicon Group (aquifer and confining unit), Cedar Valley aquifer, Upper Devonian shale confining unit, and Cherokee confining unit. Although separate aquifers and confining units are described, the Silurian- and Devonian-age units are considered as a single aquifer system. The top of the Silurian-Devonian aquifer system is considered as the top of the Cedar Valley aquifer, where present, and the base of the aquifer system is considered as the top of the Maquoketa confining unit.
\nThe hydraulic properties of the rocks that comprise the Silurian-Devonian aquifer system are highly variable as a result of the variable composition of the rocks and the presence of solution features in some of the carbonate-rock units. For the combined Silurian-Devonian aquifer system, specific capacity averages 2.1 gallons per minute per foot of drawdown, transmissivity averages about 580 feet squared per day, and hydraulic conductivity averages 8.3 feet per day.
\nRecharge to the Silurian-Devonian aquifer system in Johnson County is predominantly from infiltration of precipitation to the bedrock. Discharge from the aquifer is primarily to municipal, industrial, and private-development wells. Reliable measurements of the amount of recharge to or discharge from the ground-water system in Johnson County, however, are not available.
\nAltitude of the 1996 potentiometric surface ranged from more than 750 feet above the North American Vertical Datum of 1988 (NAVD88) in northern Johnson County to less than 575 feet above NAVD88 in the central part of the county. A large cone of depression within the potentiometric surface is present in the central part of the county, between Coralville and Iowa City. A large limestone quarry is located near the center of this cone of depression. Ground water generally flows from the northern and western parts of Johnson County either toward the cone of depression in the center of the county or south out of the county. Ground water also flows toward the Cedar River in the northeastern part of the county. A ground-water divide in the northeastern part of the county roughly approximates the surface-water divide between the Iowa River and Cedar River drainages.
\nA numerical ground-water-flow model of the Silurian-Devonian aquifer system in Johnson County was used to test concepts of ground-water flow, to assess the need for additional data, and to evaluate the potential effects of anticipated increased ground-water development and drought. The 1-layer model was calibrated to average 1996 ground-water conditions, which were assumed to approximate steady-state flow conditions. The model also was used to simulate steady-state conditions for 2004, steady-state conditions using anticipated pumping rates for 2025, and potential future drought conditions.
\nThe simulated potentiometric surface generally replicated the potentiometric surface for 1996 and 2004 conditions. The calculated root mean squared error values for the 1996 and 2004 simulations were 13.6 and 18.6 feet, respectively. The mean absolute differences between measured and simulated water levels for the 1996 and 2004 simulations were about 11 and 14 feet, respectively.
\nTotal model-calculated inflow to the ground-water system for the 1996 simulation was 19.6 million gallons per day (Mgal/d), and the largest model-calculated inflow component was areal recharge (15.1 Mgal/d). Total model-calculated outflow from the ground-water system was 19.7 Mgal/d, and the largest outflow component was discharge to wells (10.5 Mgal/d). Model-calculated water-budget components for the 2004 simulation were similar to the 1996 components.
\nPotential future steady-state conditions were simulated using anticipated 2025 pumping rates. Pumpage both for existing wells and for assumed new wells, based on anticipated population growth in the northern part of the county and for the nearby municipalities, was included in the model. Simulated 2025 pumpage was about 1.5 Mgal/d greater than simulated 2004 pumpage. Simulated steady-state ground-water levels, using anticipated 2025 pumping rates, were lower than 2004 simulated levels throughout the county, and simulated water-level declines ranged from less than 1 foot near the county boundaries to about 11 feet.
\nPotential future drought conditions were simulated by assuming that recharge to the Silurian-Devonian aquifer system is reduced by a factor of 0.75 and that water-supply pumpage is increased by a factor of 1.25 over the anticipated 2025 pumping rates. Overall, simulated water levels for future drought conditions were greater than 5 feet lower than simulated 2004 conditions and were a maximum of about 30 feet lower in the northeastern part of the county.
\nThe greatest limitation to the model is the lack of measured or estimated water-budget components for comparison to simulated water-budget components. Because the model is only calibrated to measured water levels, and not to water-budget components, the model results are nonunique. Other model limitations include the relatively coarse grid scale, lack of detailed information on pumpage from the quarry and from private developments and domestic wells, and the lack of separate water-level data for the Silurian- and Devonian-age rocks.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055266","usgsCitation":"Tucci, P., and McKay, R.M., 2006, Hydrogeology and simulation of ground-water flow in the Silurian-Devonian aquifer system, Johnson County, Iowa (Online only): U.S. Geological Survey Scientific Investigations Report 2005-5266, 78 p., https://doi.org/10.3133/sir20055266.","productDescription":"78 p.","numberOfPages":"78","onlineOnly":"Y","additionalOnlineFiles":"N","costCenters":[{"id":351,"text":"Iowa Water Science Center","active":true,"usgs":true}],"links":[{"id":190834,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7521,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2005/5266/","linkFileType":{"id":5,"text":"html"}}],"country":"United States","state":"Iowa","county":"Johnson","geographicExtents":"{\"type\":\"FeatureCollection\",\"features\":[{\"type\":\"Feature\",\"geometry\":{\"type\":\"Polygon\",\"coordinates\":[[[-91.3677,41.8603],[-91.3673,41.7745],[-91.3675,41.6855],[-91.3671,41.5987],[-91.3679,41.5107],[-91.3687,41.4235],[-91.4839,41.4222],[-91.4843,41.4286],[-91.492,41.4405],[-91.5033,41.4493],[-91.5026,41.452],[-91.4989,41.4538],[-91.4988,41.4592],[-91.5145,41.4676],[-91.5156,41.4704],[-91.5136,41.4767],[-91.5038,41.4779],[-91.5029,41.4874],[-91.5039,41.4933],[-91.5076,41.4939],[-91.5107,41.4944],[-91.5112,41.4971],[-91.508,41.5016],[-91.5098,41.5034],[-91.5117,41.5016],[-91.5148,41.4985],[-91.5197,41.4981],[-91.5196,41.5027],[-91.5281,41.5078],[-91.528,41.511],[-91.5991,41.5107],[-91.7138,41.511],[-91.8291,41.5116],[-91.827,41.6001],[-91.8337,41.6006],[-91.8335,41.6865],[-91.8327,41.775],[-91.8318,41.8617],[-91.716,41.862],[-91.5989,41.8612],[-91.4836,41.8608],[-91.3677,41.8603]]]},\"properties\":{\"name\":\"Johnson\",\"state\":\"IA\"}}]}","edition":"Online only","tableOfContents":"Abstract
Introduction
Previous Studies
Physical Setting and Climate
Water Use
Acknowledgments
Hydrogeologic Setting
Hydrogeologic Units
Quaternary Deposits
Bedrock Topography
Bedrock Hydrogeologic Units
Maquoketa Confining Unit
Silurian Aquifer
Wapsipinicon Group
Cedar Valley Aquifer
Upper Devonian Shale Confining Unit
Cherokee Confining Unit
Geologic Structure
Hydraulic Characteristics
Recharge and Discharge
Ground-Water Occurrence and Movement
Simulation of Ground-Water Flow
Model Construction and Boundary Conditions
1996 Steady-State Calibration and Simulation
Model Calibration
Simulation Results
Model Sensitivity
Simulation of Potential Future Withdrawals
Simulation of 2004 Conditions
Simulation of Potential 2025 Steady-State Pumping
Simulation of Potential Future Drought Conditions
Model Limitations and Additional Data Needs
Summary
References Cited
Appendix
This report, the fifth in a series that presents analyses of the hydrologic data collected in Monroe County since 1984, interprets data from four surface-water-monitoring sites in the Irondequoit Creek basin (Irondequoit Creek at Railroad Mills, East Branch Allen Creek at Pittsford, Allen Creek near Rochester, and Irondequoit Creek above Blossom Road); and from three sites on tributaries to the Genesee River (Oatka Creek at Garbutt, Honeoye Creek at Honeoye Falls, and Black Creek at Churchville) and from the Genesee River at Charlotte Docks. It also interprets data from a site on Northrup Creek, which provides information on nutrient loads delivered to Long Pond, a small eutrophic embayment of Lake Ontario. The report also includes water-level and water-quality data from nine observation wells in Ellison Park, and atmospheric-deposition data from a collection site at Mendon Ponds.
Atmospheric Deposition: Average annual precipitation for 2000–02 was 33.11 in., 0.94 in. below normal. Average annual loads of some chemical constituents in atmospheric deposition for 2000–02 differed considerably from those for the previous period of record. Loads of all nutrients except ammonia decreased by amounts ranging from 28 percent (ammonia + organic nitrogen and phosphorus) to 2 percent (nitrite + nitrate), whereas ammonia loads an increased by 8 percent. Loads of dissolved sodium and total zinc in atmospheric deposition increased by 56 percent, and 54, percent respectively, over the previous period of record. Average annual loads of other constituents showed decreases ranging from 41 percent (dissolved magnesium) to 17 percent (dissolved chloride).
Loads of all nutrients deposited in the Irondequoit Creek basin from atmospheric sources during 2000–02 greatly exceeded those transported by Irondequoit Creek. The ammonia load deposited in the basin was 165 times the load transported at Blossom Road (the most downstream site); the ammonia + organic nitrogen load was 2.8 times greater, orthophosphate 9.7 times greater, total phosphorus 1.2 times greater, and the nitrite + nitrate load was 1.6 times greater. Average yields of dissolved chloride and dissolved sulfate from atmosphoric sources were much less than those transported by streamflow at Blossom Road—chloride was about 1.5 percent and sulfate about 9.1 percent of the amount transported by Irondequoit Creek.
Ground water: Ground-water-levels and water quality data were collected from 9 observation wells in Ellison Park in Monroe County. All wells except Mo 2 and Mo 659 are in the flood plain of Irondequoit Creek. Water levels indicate frequent reversals in direction of lateral flow toward or away from Irondequoit Creek, and all wells except Mo2 and Mo 659 respond to water level fluctuations in the Creek. Trend tests on water levels for the period of record indicate a slight upward trend in water levels at all nine wells, two of which (Mo 3 and Mo 667) were statistically significant.
Concentrations of ammonia and ammonia + organic nitrogen showed a general decrease for the current period of record. Total phosphorus concentrations showed an increase at four wells and a decrease at four wells.
Water quality data showed that the highest median concentrations of nutrients continues to occur in Mo 667 and the highest median concentrations of common ions was at Mo 664.
Streamflow: Statistical analysis of long-term (greater than 15 years) streamflow records for unregulated streams in Monroe County indicated that annual mean flows for water years (A water year is the 12-month period from October 1 through September 30 of the following year.) 2000–02 generally were in the normal range (75th to 25th percentile), although Allen Creek continued to show a significant downward trend in mean monthly streamflow during the 1984–2002 water years.
Chemical Concentration in Streams: Concentrations of several constituents in streams of the Irondequoit Creek basin showed statistically significant (α = 0.05) trends from the beginning of their period of record through 2002. Three of the four Irondequoit Creek sites (Allen Creek, Blossom Road, and Railroad Mills) showed downward trends in ammonia (4.6 to 12.0 percent per year) and ammonia + organic nitrogen (2.8 to 5.3 percent per year). Allen Creek showed downward trends in nitrite + nitrate and total phosphorus (both 1.2 percent per year), and Irondequoit Creek above Blossom Road showed an upward trend in orthophosphate (1.8 percent per year). Three Irondequoit Creek sites showed upward trends in dissolved chloride: Railroad Mills (4.8 percent per year), Allen Creek, and Blossom Road (both 1.9 percent per year). Allen Creek showed a downward trend in sulfate of 0.98 percent per year, whereas Blossom Road showed a downward trend in suspended solids of 4.0 percent per year. Volatile suspended solids showed an upward trend of 3.2 percent per year at Allen Creek and a downward trend of 2.2 percent per year at Blossom Road.
Northrup Creek in western Monroe County, showed significant downward trends in concentrations of volatile suspended solids (2.5 percent per year), total phosphorus (5.3 percent per year), and orthophosphate (9.9 percent per year). The Genesee River at Charlotte Docks showed downward trends in volatile suspended solids (2.1 percent per year) and ammonia + organic nitrogen (4.5 percent per year). Oatka Creek at Garbutt showed an upward trend of 21.4 percent per year in turbidity.
Chemical Loads in Streams: Mean annual yields (pounds or tons per square mile) of many constituents at the Irondequoit Creek sites were lower than those in previous reporting periods. Suspended solids and nitrite + nitrate yields were lower at three of the sites, and yields of volatile suspended solids, ammonia, and total phosphorus were lower at two of the sites. East Branch Allen Creek showed lower yields for five of the nine constituents for 2000–02, than for previous reporting periods. The decreased yields at East Branch Allen Creek are likely due to the Jefferson Road stormflow-detention basin and the much lower than normal runoff for the 2000–02 period.
","language":"English","publisher":"U.S. Geological Survey","publisherLocation":"Reston, VA","doi":"10.3133/sir20055107","collaboration":"Prepared in cooperation with the Monroe County Department of Health","usgsCitation":"Sherwood, D.A., 2006, Water resources of Monroe County, New York, water years 2000-02: Atmospheric deposition, ground water, streamflow, trends in water quality, and chemical loads in streams: U.S. Geological Survey Scientific Investigations Report 2005-5107, vi, 55 p., https://doi.org/10.3133/sir20055107.","productDescription":"vi, 55 p.","numberOfPages":"65","costCenters":[],"links":[{"id":120789,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/sir_2005_5107.jpg"},{"id":7088,"rank":100,"type":{"id":11,"text":"Document"},"url":"https://pubs.usgs.gov/sir/2005/5107/sir20055107.pdf","text":"Report","size":"3.17 MB","linkFileType":{"id":1,"text":"pdf"},"description":"SIR 2005-5107"}],"country":"United States","state":"New York","county":"Monroe county","geographicExtents":"{\n \"type\": \"FeatureCollection\",\n \"features\": [\n {\n \"type\": \"Feature\",\n \"properties\": {},\n \"geometry\": {\n \"type\": \"Polygon\",\n \"coordinates\": [\n [\n [\n -78.46710205078125,\n 42.88602714832883\n ],\n [\n -77.18719482421874,\n 42.88602714832883\n ],\n [\n -77.18719482421874,\n 43.369119087738554\n ],\n [\n -78.46710205078125,\n 43.369119087738554\n ],\n [\n -78.46710205078125,\n 42.88602714832883\n ]\n ]\n ]\n }\n }\n ]\n}","contact":"Director, New New York Water Science Center
U.S. Geological Survey
425 Jordan Rd.
Troy, NY 12180
Nutrient input data for fertilizer use, livestock manure, and atmospheric deposition from various sources were estimated and allocated to counties in the conterminous United States for the years 1982 through 2001. These nationally consistent nutrient input data are needed by the National Water-Quality Assessment Program for investigations of stream- and ground-water quality. For nitrogen, the largest source was farm fertilizer; for phosphorus, the largest sources were farm fertilizer and livestock manure. Nutrient inputs from fertilizer use in nonfarm areas, while locally important, were an order of magnitude smaller than inputs from other sources. Nutrient inputs from all sources increased between 1987 and 1997, but the relative proportions of nutrients from each source were constant. Farm-fertilizer inputs were highest in the upper Midwest, along eastern coastal areas, and in irrigated areas of the West. Nonfarm-fertilizer use was similar in major metropolitan areas throughout the Nation, but was more extensive in the more populated Eastern and Central States and in California. Areas of greater manure inputs were located throughout the South-central and Southeastern States and in scattered areas of the West. Nitrogen deposition from the atmosphere generally increased from west to east and is related to the location of major sources and the effects of precipitation and prevailing winds. These nutrient-loading data at the county level are expected to be the fundamental basis for national and regional assessments of water quality for the National Water-Quality Assessment Program and other large-scale programs.
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bcruddy@usgs.gov","contributorId":4163,"corporation":false,"usgs":true,"family":"Ruddy","given":"Barbara","email":"bcruddy@usgs.gov","middleInitial":"C.","affiliations":[],"preferred":true,"id":286970,"contributorType":{"id":1,"text":"Authors"},"rank":1},{"text":"Lorenz, David L. 0000-0003-3392-4034 lorenz@usgs.gov","orcid":"https://orcid.org/0000-0003-3392-4034","contributorId":1384,"corporation":false,"usgs":true,"family":"Lorenz","given":"David","email":"lorenz@usgs.gov","middleInitial":"L.","affiliations":[{"id":392,"text":"Minnesota Water Science Center","active":true,"usgs":true}],"preferred":true,"id":286968,"contributorType":{"id":1,"text":"Authors"},"rank":2},{"text":"Mueller, David K. mueller@usgs.gov","contributorId":1585,"corporation":false,"usgs":true,"family":"Mueller","given":"David","email":"mueller@usgs.gov","middleInitial":"K.","affiliations":[{"id":503,"text":"Office of Water Quality","active":true,"usgs":true}],"preferred":true,"id":286969,"contributorType":{"id":1,"text":"Authors"},"rank":3}]}} ,{"id":75653,"text":"sir20065002 - 2006 - Low-flow analysis and selected flow statistics representative of 1930-2002 for streamflow-gaging stations in or near West Virginia","interactions":[],"lastModifiedDate":"2012-02-02T00:14:01","indexId":"sir20065002","displayToPublicDate":"2006-03-18T00:00:00","publicationYear":"2006","noYear":false,"publicationType":{"id":18,"text":"Report"},"publicationSubtype":{"id":5,"text":"USGS Numbered Series"},"seriesTitle":{"id":334,"text":"Scientific Investigations Report","code":"SIR","onlineIssn":"2328-0328","printIssn":"2328-031X","active":true,"publicationSubtype":{"id":5}},"seriesNumber":"2006-5002","title":"Low-flow analysis and selected flow statistics representative of 1930-2002 for streamflow-gaging stations in or near West Virginia","docAbstract":"Five time periods between 1930 and 2002 are identified as having distinct patterns of annual minimum daily mean flows (minimum flows). Average minimum flows increased around 1970 at many streamflow-gaging stations in West Virginia. Before 1930, however, there might have been a period of minimum flows greater than any period identified between 1930 and 2002. The effects of climate variability are probably the principal causes of the differences among the five time periods. \r\n\r\nComparisons of selected streamflow statistics are made between values computed for the five identified time periods and values computed for the 1930-2002 interval for 15 streamflow-gaging stations. The average difference between statistics computed for the five time periods and the 1930-2002 interval decreases with increasing magnitude of the low-flow statistic. The greatest individual-station absolute difference was 582.5 percent greater for the 7-day 10-year low flow computed for 1970-1979 compared to the value computed for 1930-2002. The hydrologically based low flows indicate approximately equal or smaller absolute differences than biologically based low flows. The average 1-day 3-year biologically based low flow (1B3) and 4-day 3-year biologically based low flow (4B3) are less than the average 1-day 10-year hydrologically based low flow (1Q10) and 7-day 10-year hydrologic-based low flow (7Q10) respectively, and range between 28.5 percent less and 13.6 percent greater. Seasonally, the average difference between low-flow statistics computed for the five time periods and 1930-2002 is not consistent between magnitudes of low-flow statistics, and the greatest difference is for the summer (July 1-September 30) and fall (October 1-December 31) for the same time period as the greatest difference determined in the annual analysis. The greatest average difference between 1B3 and 4B3 compared to 1Q10 and 7Q10, respectively, is in the spring (April 1-June 30), ranging between 11.6 and 102.3 percent greater. \r\n\r\nStatistics computed for the individual station's record period may not represent the statistics computed for the period 1930 to 2002 because (1) station records are available predominantly after about 1970 when minimum flows were greater than the average between 1930 and 2002 and (2) some short-term station records are mostly during dry periods, whereas others are mostly during wet periods. A criterion-based sampling of the individual station's record periods at stations was taken to reduce the effects of statistics computed for the entire record periods not representing the statistics computed for 1930-2002. The criterion used to sample the entire record periods is based on a comparison between the regional minimum flows and the minimum flows at the stations. Criterion-based sampling of the available record periods was superior to record-extension techniques for this study because more stations were selected and areal distribution of stations was more widespread. Principal component and correlation analyses of the minimum flows at 20 stations in or near West Virginia identify three regions of the State encompassing stations with similar patterns of minimum flows: the Lower Appalachian Plateaus, the Upper Appalachian Plateaus, and the Eastern Panhandle. All record periods of 10 years or greater between 1930 and 2002 where the average of the regional minimum flows are nearly equal to the average for 1930-2002 are determined as representative of 1930-2002. Selected statistics are presented for the longest representative record period that matches the record period for 77 stations in West Virginia and 40 stations near West Virginia. These statistics can be used to develop equations for estimating flow in ungaged stream locations. \r\n\r\n","language":"ENGLISH","doi":"10.3133/sir20065002","usgsCitation":"Wiley, J.B., 2006, Low-flow analysis and selected flow statistics representative of 1930-2002 for streamflow-gaging stations in or near West Virginia: U.S. Geological Survey Scientific Investigations Report 2006-5002, vi, 190 p., https://doi.org/10.3133/sir20065002.","productDescription":"vi, 190 p.","numberOfPages":"196","costCenters":[],"links":[{"id":192692,"rank":0,"type":{"id":24,"text":"Thumbnail"},"url":"https://pubs.usgs.gov/thumbnails/usgs_thumb.jpg"},{"id":7025,"rank":100,"type":{"id":15,"text":"Index Page"},"url":"https://pubs.usgs.gov/sir/2006/5002/","linkFileType":{"id":5,"text":"html"}}],"noUsgsAuthors":false,"publicationStatus":"PW","scienceBaseUri":"4f4e4a75e4b07f02db644a1f","contributors":{"authors":[{"text":"Wiley, Jeffrey B.","contributorId":59746,"corporation":false,"usgs":true,"family":"Wiley","given":"Jeffrey","email":"","middleInitial":"B.","affiliations":[],"preferred":false,"id":286923,"contributorType":{"id":1,"text":"Authors"},"rank":1}]}} ]}