In order to support science-based water resource management, a systematic effort was undertaken to characterize the nature and function of the hydrogeology in Jo Daviess County, Illinois. Jo Daviess County is a karst area. Karst is a geologically and hydrologically integrated or interconnected and self-organizing network of landforms and subsurface large-scale, secondary porosity created by a combination of fractured carbonate bedrock, the movement of water into and through the rock body as part of the hydrologic cycle, and physical and chemical weathering (Panno, S.V. et al, 2017). Springs, cover-collapse sinkholes, crevices, and caves are among the defining features of a karst terrain; each of these features is found in Jo Daviess County. Examples of these features have been located in the field and using other remotely-sensed data and characterized by scientists from the Illinois State Geological and Water Surveys (Prairie Research Institute, University of Illinois at Urbana-Champaign). For this project, groundwater samples were collected from springs and wells and analyzed for inorganic chemistry, dissolved organic carbon, stable isotopes of water, and tritium. The project objective was to initiate a karst feature database, to collect water samples from springs to determine groundwater background concentrations of major anions, cations, and field parameters, and to then characterize and group the different populations of groundwater within Jo Daviess County. This project was supported by Grant Awards F16AP00772 and F18AC00961, from the U.S. Fish and Wildlife Service to the League of Women Voters of Illinois Education Fund as well as support from the Prairie Research Institute, University of Illinois.In addition to reports created for each sampling location (containing data, photographs and interpretation) and submitted to USFWS as grantee performance reports for Grant Award F16AP00772, the publication cited below references the data and provides interpretation:Panno, S.V., W.R. Kelly, and E.L. Baranski. Hydrogeochemical controls on aquifers of northwestern Illinois’ Driftless Area, USA. Environmental Earth Sciences 78:276, 2019. https://doi.org/10.1007/s12665-019-8271-7The publications cited below provide background and context:Panno, S.V. and D.E. Luman. Assessment of the geology and hydrogeology of two sites for a proposed large dairy facility in Jo Daviess County near Nora, IL.Illinois State Geological Survey Open File Series 2008-2, 2008. http://library.isgs.illinois.edu/Pubs/pdfs/ofs/2008/ofs2008-02.pdfPanno, S.V., Donald E. Luman, and Dennis R. Kolata. Characterization of karst terrain and regional tectonics using remotely sensed data in Jo Daviess County, Illinois .Circular 589, Illinois State Geological Survey, Prairie Research Institute, University of Illinois Urbana-Champaign, 2015. https://www.isgs.illinois.edu/maps/county-maps/karst-terrain/jo-daviessPanno, S.V., Philip G. Millhouse, Randy W. Nyboer, Daryl Watson, Walton R. Kelly, Lisa M. Anderson, Curtis C. Albert, and Donald E. Luman. Guide to the Geology, Hydrogeology, History, Archaeology, and Biotic Ecology of the Driftless area of Northwestern Illinois, Jo Daviess County. Illinois State Geological Survey Guidebook 42, 2016. https://www.isgs.illinois.edu/publications/gb042Panno, S.V., Donald E. Luman, Walton R. Kelly, Timothy H. Larson, and Stephen J. Taylor. Karst of the Driftless Area of Jo Daviess County, Illinois. Circular 586, Illinois State Geological Survey, Prairie Research Institute, University of Illinois Urbana-Champaign, 2017. https://isgs.illinois.edu/maps/county-maps/karst-terrain/jo-daviess-0Panno, S.V., Walton R. Kelly, John Scott, Wei Zheng, Rachel E. McNeish, Nancy Holm, Timothy J. Hoellein, and Elizabeth L. Baranski. Microplastic Contamination in Karst Groundwater Systems. Groundwater.57(2):189-196. doi:10.1111/gwat.12862,2019. https://ngwa.onlinelibrary.wiley.com/doi/10.1111/gwat.12862

From the site: "A cells polygon feature class was created by the U. S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Illinois. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Data were retrieved from the Illinois State Geological Survey (ISGS) oil and gas wells database. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current as of 2006."

A cells polygon feature class was created by the U. S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Illinois. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Data were retrieved from the Illinois State Geological Survey (ISGS) oil and gas wells database. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current as of 2006.

From the site: "A cells polygon feature class was created by the U. S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Illinois. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Data were retrieved from the Illinois State Geological Survey (ISGS) oil and gas wells database. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current as of 2006."

This digital data release presents contour data from multiple subsurface geologic horizons as presented in previously published summaries of the regional subsurface configuration of the Michigan and Illinois Basins. The original maps that served as the source of the digital data within this geodatabase are from the Geological Society of America’s Decade of North American Geology project series, “The Geology of North America” volume D-2, chapter 13 “The Michigan Basin” and chapter 14 “Illinois Basin Region”. Contour maps in the original published chapters were generated from geophysical well logs (generally gamma-ray) and adapted from previously published contour maps. The published contour maps illustrated the distribution sedimentary strata within the Illinois and Michigan Basin in the context of the broad 1st order supercycles of L.L. Sloss including the Sauk, Tippecanoe, Kaskaskia, Absaroka, Zuni, and Tejas supersequences. Because these maps represent time-transgressive surfaces, contours frequently delineate the composite of multiple named sedimentary formations at once. Structure contour maps on the top of the Precambrian basement surface in both the Michigan and Illinois basins illustrate the general structural geometry which undergirds the sedimentary cover. Isopach maps of the Sauk 2 and 3, Tippecanoe 1 and 2, Kaskaskia 1 and 2, Absaroka, and Zuni sequences illustrate the broad distribution of sedimentary units in the Michigan Basin, as do isopach maps of the Sauk, Upper Sauk, Tippecanoe 1 and 2, Lower Kaskaskia 1, Upper Kaskaskia 1-Lower Kaskaskia 2, Kaskaskia 2, and Absaroka supersequences in the Illinois Basins. Isopach contours and structure contours were formatted and attributed as GIS data sets for use in digital form as part of U.S. Geological Survey’s ongoing effort to inventory, catalog, and release subsurface geologic data in geospatial form. This effort is part of a broad directive to develop 2D and 3D geologic information at detailed, national, and continental scales. This data approximates, but does not strictly follow the USGS National Cooperative Geologic Mapping Program's GeMS data structure schema for geologic maps. Structure contour lines and isopach contours for each supersequence are stored within separate “IsoValueLine” feature classes. These are distributed within a geographic information system geodatabase and are also saved as shapefiles. Contour data is provided in both feet and meters to maintain consistency with the original publication and for ease of use. Nonspatial tables define the data sources used, define terms used in the dataset, and describe the geologic units referenced herein. A tabular data dictionary describes the entity and attribute information for all attributes of the geospatial data and accompanying nonspatial tables.

Cell maps for each oil and gas assessment unit were created by the USGS to illustrate the degree of exploration, type of production, and distribution of production in an assessment unit or province. Each cell represents a quarter-mile square of the land surface, and the cells were then coded to indicate whether the wells included within the cell are predominantly oil-producing, gas-producing, are both oil- and gas-producing , or are dry or the type of production is unknown.. The well information was initially retrieved from the IHS Energy Group, PI/Dwights PLUS Well Data on CD-ROM, which is a proprietary, commercial database containing information for most oil and gas wells in the U.S. Cells were developed as a graphic solution to overcome the problem of displaying proprietary PI/Dwights PLUS Well Data. No proprietary data are displayed or included in the cell maps. The data from PI/Dwights PLUS Well Data were current as of 2005 when the cell maps were created in 2007.

Includes Illinois data for Sangamon River Forest Preserve, ISGS well CHAM-08-09B, ISGS well CHAM-08-09C, ISGS well CHAM-08-09A, ISGS well CHAM-08-09WT, and ISGS well CHAM-14-03B:

• This dataset contains barometric pressure observations collected from a pressure transducer hanging within one of the wells at the Sangamon River Forest Preserve site. This data is to be used to provide atmospheric pressure measurements to correct the pressure transducer measurements monitoring water levels in the observation wells at this site. Data should be parsed by calendar year.

• 171 foot well - This well was installed in 2008 to a depth of approximately 171 feet. The well is finished in a sand and gravel deposit. Information in this dataset will include water level observations from manual readings or transducers, as well as geologic descriptions, and other information related to the geology at the well or the construction of the observation well. Additional information may be saved that includes field notes or other metadata related to water well levels, data files, or other aspects of this well.

• 69 foot well - This well was installed in 2008 to a depth of approximately 69 feet. The well is finished in a sand and gravel deposit. Information in this dataset will include water level observations from manual readings or transducers, as well as geologic descriptions, and other information related to the geology at the well or the construction of the observation well. Additional information may be saved that includes field notes or other metadata related to water well levels, data files, or other aspects of this well.

• 260 ft well, ISGS well CHAM-08-09A) - This well was installed in 2008 at a depth of approximately 260 feet. The well is finished in a sand and gravel deposit. Information in this dataset will include water level observations from manual readings or transducers, as well as geologic descriptions, and other information related to the geology at the well or the construction of the observation well. Transducer data is intended to be parsed by calendar year. From 2011 through at least 2016, this well was included in the USGS Real-Time Groundwater Level Network for Illinois. All transducer data was collected by the USGS and has been downloaded and parsed. Additional information may be saved that includes field notes or other metadata related to water well levels, data files, or other aspects of this well.

• 21 foot well - This well was installed in 2008 to a depth of approximately 21.5 feet. The well is finished in a glacial diamicton (till). Information in this dataset will include water level observations from manual readings or transducers, as well as geologic descriptions, and other information related to the geology at the well or the construction of the observation well. Transducer data is intended to be parsed by calendar year. From 2011 through at least 2016, this well was included in the USGS Real-Time Groundwater Level Network for Illinois. All transducer data was collected by the USGS and has been downloaded and parsed. Additional information may be saved that includes field notes or other metadata related to water well levels, data files, or other aspects of this well.

• 12 foot well - This well was installed in 2014 to a depth of approximately 12 feet. The well is finished in a glacial diamicton (till). Information in this dataset will include water level observations from manual readings or transducers, as well as geologic descriptions, and other information related to the geology at the well or the construction of the observation well. Additional information may be saved that includes field notes or other metadata related to water well levels, data files, or other aspects of this well.

The U.S. Department of Energy is currently funding a broad consortium of institutions to develop a new National Geothermal Data System (NGDS) for assessing the geothermal resources of the United States. In the Illinois Basin region, such a comprehensive effort of subsurface temperature data compilation and analysis has not been attempted since the 1970s. This paper presents the methodologies that were implemented to develop this new geothermal database for the Illinois Basin region as part of the NGDS program. The database contains temperature observations from more than 26,000 wells in Indiana, Illinois, and Kentucky, providing a substantial increase in information on the thermal state of the subsurface. We also present some early results of data analysis, including new geothermal gradient maps and temperature anomalies, and how these results are being used in conjunction with other studies in the Illinois Basin. This document is an introduction and does not include observations or results.

The watershed data management (WDM) database SC21.WDM is updated with the processed data for the period October 1, 2020, through September 30, 2021. The precipitation data are collected from a tipping-bucket rain-gage network and the hydrologic data (stage and discharge) are collected at USGS streamflow-gaging stations in and around DuPage County, Illinois. Hourly precipitation and hydrologic data for the period October 1, 2020, through September 30, 2021, are processed following the guidelines described in Bera (2014) and Murphy and Ishii (2006) and appended to SC20.WDM and renamed as SC21.WDM. Meteorological data (wind speed, solar radiation, air temperature, dewpoint temperature, and potential evapotranspiration) from October 1, 2019, through September 30, 2020, are copied from ARGN21.WDM and appended to SC21.WDM. Data in dataset number (DSN) 107 and 801–810 are used in comparisons of precipitation data. DSN 107 contains hourly precipitation data collected at Argonne National Laboratory at Argonne, Illinois. DSN 801-810 contains the processed Next Generation Weather Radar (NEXRAD)-multisensor precipitation estimates (MPE) data from 10 NEXRAD–MPE subbasins in the Salt Creek watershed as described in Bera and Ortel (2018). Data in these DSNs are not quality-assured and quality-controlled. The data are downloaded and uploaded daily into a WDM database that is used for the real-time streamflow simulation system. Data from DSN 107 and 801-810 are copied from this WDM and stored in SC21.WDM. DSN 107 and 801-810 are updated with the data through September 30, 2021. Data in DSN 5400 (water-surface elevation at the quarry) and 5700 (water surface elevation at Thorndale) are updated through September 30, 2021, similarly (Murphy and Ishii, 2006). Errors have been found in each of ARGNXX.WDM prior to Water Year (WY) 2023. XX represents last two digits of a WY. A WY is the 12-month period, October 1 through September 30, in which it ends. SC21.wdm contains erroneous meteorological data and related flag values thereby. SC21.WDM is removed. User is advised to download SC22.WDM from https://doi.org/10.5066/P14D6FRA. SC22.WDM (Bera, 2024b) contains corrected meteorological data from ARGN23.WDM (Bera, 2024a) for the period from January 1, 1997, through September 30, 2022. This database file also contains the quality-assured and quality-controlled hydrologic data for the period January 1, 1997, through September 30, 2022, processed following the guidelines documented in Bera (2014). While SC21.WDM is available from the author, all the records in SC21.WDM can be found in SC22.WDM as well. The complete list of missing precipitation data periods and the nearby stations used to fill in those missing periods from October 1, 2020, through September 30, 2021, is given in Table1.csv. This file is in the comma separated values (CSV) file format and can be downloaded from this landing page. The list of snow affected days of precipitation data and the missing and estimated period of the stage and flow data in SC22.WDM database during the period October 1, 2020, through September 30, 2021, are given in the USGS annual Water Data Report at https://waterdata.usgs.gov/nwis.

To open the WDM database SC22.WDM user needs to install Sara Timeseries utility described in the section "Related External Resources". First posted - March 7, 2023 (available from author) References Cited: Bera, M., 2024a, Meteorological Database, Argonne National Laboratory, Illinois: U.S. Geological Survey data release, https://doi.org/10.5066/P146RBHK. _ 2024b, Watershed Data Management (WDM) Database (SC22.WDM) for Salt Creek Streamflow Simulation, DuPage County, Illinois, January 1, 1997, through September 30, 2022: U.S. Geological Survey, https://doi.org/10.5066/P14D6FRA. Bera, M., and Ortel, T.W., 2018, Processing of next generation weather radar-multisensor precipitation estimates and quantitative precipitation forecast data for the DuPage County streamflow simulation system: U.S. Geological Survey Open-File Report 2017–1159, 16 p., https://doi.org/10.3133/ofr20171159. Bera, M., 2014, Watershed Data Management (WDM) database for Salt Creek streamflow simulation, DuPage County, Illinois, water years 2005–11: U.S. Geological Survey Data Series 870, 18 p., http://dx.doi.org/10.3133/ds870. Murphy, E.A., and Ishii, A.L., 2006, Watershed Data Management (WDM) database for Salt Creek streamflow simulation, DuPage County, Illinois: U.S. Geological Survey Open-File Report 2006–1248, 34 p. Sara Timeseries utility at https://www.respec.com/product/modeling-optimization/sara-timeseries-utility/.

Coal Mines in Illinois Viewer (ILMINES)

If

you are experiencing issues with interacting with this map, please make sure you have the most up-to-date web browser or try a different web browser. For information regarding the 2022 Inflation Reduction Act click hereInstructions: The Coal Mines in Illinois Viewer illustrates a general depiction of underground mining in the state and will help determine the proximity of coal mines and underground industrial mines to your home or business. Please follow the instructions below for using this viewer and linking to additional map products that contain more information. Enter your address in the box below and click "Search Address", OR Pan/Zoom to an area. Address location is provided by ESRI geolocation service.Please check that the location is accurate. If the address was incorrectly geolocated, you may drag the map around to find the proper location.Consult the legend for types of mines displayed.Links to view additional information regarding the mines will appear below the map with a left click on the map.What is the yellow area on the map?Data ExplanationThese data were compiled by the ISGS for known underground and surface coal mines as well as underground industrial mineral mines. For more information including links to coal mine maps and informational directories, coal resource maps, and coal logs please see the County Coal Map Series.The underground coal mine points consist of mine entrances and may also contain uncertain underground mine locations. The underground mine proximity region incorporates coal mines as well as industrial mineral mines, and it was calculated and constructed using the methodology outlined in ISGS Circular 575. These generalized areas are not meant to replace site-specific studies; they conservatively illustrate areas overlying and adjacent to underground coal and industrial mineral mines that may potentially be exposed to subsidence based on 1) angle of draw from the edge of the underground workings up to the land surface, and 2) potential inaccuracy or uncertainty in mine boundary locations. Please see ISGS Circular 575. for a full explanation. Areas outside the proximity region also could be undermined. Old, undocumented mine openings have been discovered in many parts of the state. However, most undocumented mines were prospect pits or short-term operations that undermined only a few acres.The maps and digital files used for this study were compiled from data obtained from a variety of public and private sources and have varying degrees of completeness and accuracy. They present reasonable interpretations of the geology of the area and are based on available data. Locations of some features may be offset by 500 feet or more due to errors in the original source maps, the compilation process, digitizing, or a combination of these factors. These data are not intended for use in site-specific screening or decision-making.If you believe that you have mine subsidence contact your insurance company and download: Mine Subsidence in Illinois: Facts for Homeowners - Circular 569, 2013, 9 MB PDF fileData DisclaimerThe Illinois State Geological Survey and the University of Illinois make no guarantee, expressed or implied, regarding the correctness of the interpretations presented in this data set and accept no liability for the consequences of decisions made by others on the basis of the information presented here.ISGS Terms of Usehttps://isgs.illinois.edu/terms-useUniversity of Illinois web privacyhttps://www.vpaa.uillinois.edu/resources/web_privacyQuestions about ILMINES/Contact usEmail

This data release contains estimates of annual nitrogen and phosphorus loads, as well as those of other constituents, from sites in the Illinois Environmental Protection Agency (Illinois EPA) Ambient Water Quality Monitoring Network. The loads were estimated using Weighted Regressions on Time, Discharge, and Season with Kalman filtering (WRTDS-K) and existing discrete water-quality data and discharge data collected by Illinois EPA, the U.S. Geological Survey, and Illinois State Water Survey from water year 1976 to 2021 (Hirsch and others, 2015; Lee and others, 2019). All water-quality and discharge data used in this work are available from the Water Quality Portal and the National Water Information System database (U.S. Geological Survey, 2022). The data release comprises a single comma-separated values (CSV) file containing annual loads, load uncertainty, and sample counts for each ambient monitoring site. Note that the 'site' column should be loaded as a string to avoid losing the leading zeros

This map shows the oil and natural gas wells across the United States. Oil and Natural Gas Well: A hole drilled in the earth for the purpose of finding or producing crude oil or natural gas; or producing services related to the production of crude or natural gas. Geographic coverage includes the United States (Alabama, Alaska, Arizona, Arkansas, California, Colorado, Florida, Illinois, Indiana, Kansas, Kentucky, Louisiana, Maryland, Michigan, Mississippi, Missouri, Montana, North Dakota, Nebraska, Nevada, New Mexico, New York, Ohio, Oklahoma, Oregon, Pennsylvania, South Dakota, Tennessee, Texas, Utah, Virginia, Washington, West Virginia, Wyoming) as well Oil and Natural Gas wells in the Canadian provinces of British Columbia and Manitoba that are within 100 miles of the country's border with the United States. According to the Energy Information Administration (EIA) the following states do not have active/producing Oil or Natural Gas Wells: Connecticut, Delaware, District of Columbia, Georgia, Hawaii, Iowa, Idaho, Massachusetts, Maine, Minnesota, North Carolina, New Hampshire, New Jersey, Rhode Island, South Carolina, Vermont, and Wisconsin. Some states do have wells for underground Natural Gas storage facilities where these have been identified they were included. This layer is derived from well data from individual states and provinces and United States Agencies. This layer is complete for the United States but further development of data missing from two Canadian provinces and Mexico is in process. This update release includes an additional 497,036 wells covering Texas. Oil and gas exploration in Texas takes advantage of drilling technology to use a single surface well drilling location to drill multiple bottom hole well connections to extract oil and gas. The addition of Well data from Texas results in the addition of a related table to support this one surface well to many bottom hole connections. This related table provides records for Wells that have more than one bottom hole linked to the surface well. Sourced from the HIFLD Open Data Portal for Energy.

description: This cover contains wells identified by Dart as having useful information for defining the Paleozoic basement in the New Madrid region. Some wells had borehole breakout data that were useful for interpreting the regional stress field. These locations are included in the cover "stress" and identified with type 'b'. Data from other wells was more useful for controlling depth to the basement, or providing information useful for determining the rifting history of the Rough Creek Graben and Reelfoot rift, or coeval rifting elsewhere in the map area. These and other wells are included in cover "cwell".; abstract: This cover contains wells identified by Dart as having useful information for defining the Paleozoic basement in the New Madrid region. Some wells had borehole breakout data that were useful for interpreting the regional stress field. These locations are included in the cover "stress" and identified with type 'b'. Data from other wells was more useful for controlling depth to the basement, or providing information useful for determining the rifting history of the Rough Creek Graben and Reelfoot rift, or coeval rifting elsewhere in the map area. These and other wells are included in cover "cwell".

The study at Lemont replicated and expanded upon seismic data collected at that location in 2011 as well as evaluated the pressure field created in the water by the water gun. The replicate data were collected with the water gun placements and input pressure identical to the 2011 study, but added static underwater pressure monitoring. Two 80-in³ water guns were suspended below a platform at depths of 4 and 14 feet. Pressure values were lower when only the gun suspended at 4 feet was fired as compared to firing the single gun at 14 feet and both guns simultaneously, with the latter two producing similar pressures. Data were collected to assess the pressure field produced by two 80-in³ water guns suspended at a depth of 14 feet, but separated by 80 feet. A 5 lb/in² threshold value, based on limitations set by the Army Corp of Engineers (USACE), was monitored throughout the experiment. Extent of the 5 lb/in² threshold value varied significantly with gun input air pressure. The pressure field generated with gun input air pressure at 2,000 lb/in² exceeded the threshold value at greater than 95% of locations measured more than 30 feet from the water guns, whereas data at 1,000 lb/in² did not reach the threshold value anywhere outside of a 30 foot radius from the water guns. Velocity and acceleration data were collected simultaneously with the underwater pressure data to understand the response of the wall to the water gun firings. Maximum values for velocity and acceleration were 0.304 in/s and 0.015 ft/s², respectively.

County Coal Data and MapsThe Coal Resource Maps include structural elevation, depth, thickness, sulfur, and chlorine maps of the Colchester, Danville, Davis, Dekoven, Herrin, Jamestown, Seelyville, and Springfield Coals. The Coal Mine Maps are maps compiled by the ISGS of known mines: underground and surface coal mines as well as underground industrial mines. Buffer regions for industrial mineral underground mines were incorporated into the maps due to limited information regarding these mines. The size of the buffer region is dependent on the uncertainty or inaccuracy of the mine location based on the quality of the source material. For more information regarding industrial mines please contact the ISGS Industrial Minerals Section. The accompanying coal mine directory for each county provides basic information about the coal mines. Coal has been mined in 77 counties in Illinois and more than 7,400 coal mines have operated since commercial mining began in 1810. Our maps of known mines for each of these counties may help the public to identify mined areas. Please note, however, that the accuracy and completeness of the mine maps and directories vary depending on the availability and quality of source material. Little or no information is available for many mines, especially the older ones, because mining activity was not regulated or documented until the late 1800's. Even then, reporting requirements were minimal. In cooperation with the Illinois State Geological Survey, the Office of Mines and Minerals (a division of the Department of Natural Resources) is in search of old underground mine maps of Illinois. Many of the undocumented maps are believed to be in libraries, historical societies and personal files of old mine employees. The Department asks that anyone who knows of one of these maps, please contact the Department at (618) 650-3197 or by emailing brent.guttmann@illinois.gov(link sends e-mail). A map specialist will come to your location, if you wish. Otherwise maps can be mailed, or you may stop by one of our offices in Edwardsville, Springfield, Ottawa, or Benton. These maps will be checked against our existing inventory. If found to be a new discovery, they will be electronically imaged and returned to the owner (if requested). The Coal Logs are non-confidential coal log descriptions from the Coal Section's stratigraphic database located in the county. These are part of the basis for the coal resource maps. NOTE: A 1:100,000 scale county mine map with directory is available for purchase and can be ordered by contacting the ISGS at (217) 244-2414, or email at sales@prairie.illinois.edu(link sends e-mail). A 1:24,000 scale color plot version of each available quadrangle with directory is also available for purchase. The County Coal Resource maps have been supported, in part, by the contract Maintenance of Coal Resource and Mine Data from the Illinois Department of Natural Resources, Office of Mines and Minerals. Note: These maps are made available at this time in draft form only. They have not yet been reviewed to the normal standards of the Illinois State Geological Survey (ISGS) review process. They are made available in this manner as an "open file" in order to deliver products to our customers as fast as possible and to meet particular needs that we have encountered in public requests for this information. These maps are PDF files, requiring Adobe Acrobat™ for viewing. (Download Acrobat).

description: These wells assist in characterizing structures at hypocentral depths in the Wabash Valley. We show locations of 32 wells that provided information about depths to basement, the rifting history of the Rough Creek Graben and Reelfoot rift, coeval rifting elsewhere in the map area, or the modern stress field in which earthquakes occur.; abstract: These wells assist in characterizing structures at hypocentral depths in the Wabash Valley. We show locations of 32 wells that provided information about depths to basement, the rifting history of the Rough Creek Graben and Reelfoot rift, coeval rifting elsewhere in the map area, or the modern stress field in which earthquakes occur.

Please see the individual layer/table below to access the detailed metadata.In order to support science-based water resource management, a systematic effort was undertaken to characterize the nature and function of the hydrogeology in Jo Daviess County, Illinois. Jo Daviess County is a karst area. Karst is a geologically and hydrologically integrated or interconnected and self-organizing network of landforms and subsurface large-scale, secondary porosity created by a combination of fractured carbonate bedrock, the movement of water into and through the rock body as part of the hydrologic cycle, and physical and chemical weathering (Panno, S.V. et al, 2017). Springs, cover-collapse sinkholes, crevices, and caves are among the defining features of a karst terrain; each of these features is found in Jo Daviess County. Examples of these features have been located in the field and using other remotely-sensed data and characterized by scientists from the Illinois State Geological and Water Surveys (Prairie Research Institute, University of Illinois at Urbana-Champaign). For this project, groundwater samples were collected from springs and wells and analyzed for inorganic chemistry, dissolved organic carbon, stable isotopes of water, and tritium. The project objective was to initiate a karst feature database, to collect water samples from springs to determine groundwater background concentrations of major anions, cations, and field parameters, and to then characterize and group the different populations of groundwater within Jo Daviess County. This project was supported by Grant Awards F16AP00772 and F18AC00961, from the U.S. Fish and Wildlife Service to the League of Women Voters of Illinois Education Fund as well as support from the Prairie Research Institute, University of Illinois.In addition to reports created for each sampling location (containing data, photographs and interpretation) and submitted to USFWS as grantee performance reports for Grant Award F16AP00772, the publication cited below references the data and provides interpretation:Panno, S.V., W.R. Kelly, and E.L. Baranski. Hydrogeochemical controls on aquifers of northwestern Illinois’ Driftless Area, USA. Environmental Earth Sciences 78:276, 2019. https://doi.org/10.1007/s12665-019-8271-7The publications cited below provide background and context:Panno, S.V. and D.E. Luman. Assessment of the geology and hydrogeology of two sites for a proposed large dairy facility in Jo Daviess County near Nora, IL.Illinois State Geological Survey Open File Series 2008-2, 2008. https://library.isgs.illinois.edu/Pubs/pdfs/ofs/2008/ofs2008-02.pdfPanno, S.V., Donald E. Luman, and Dennis R. Kolata. Characterization of karst terrain and regional tectonics using remotely sensed data in Jo Daviess County, Illinois .Circular 589, Illinois State Geological Survey, Prairie Research Institute, University of Illinois Urbana-Champaign, 2015. https://www.isgs.illinois.edu/maps/county-maps/karst-terrain/jo-daviessPanno, S.V., Philip G. Millhouse, Randy W. Nyboer, Daryl Watson, Walton R. Kelly, Lisa M. Anderson, Curtis C. Albert, and Donald E. Luman. Guide to the Geology, Hydrogeology, History, Archaeology, and Biotic Ecology of the Driftless area of Northwestern Illinois, Jo Daviess County. Illinois State Geological Survey Guidebook 42, 2016. https://www.isgs.illinois.edu/publications/gb042Panno, S.V., Donald E. Luman, Walton R. Kelly, Timothy H. Larson, and Stephen J. Taylor. Karst of the Driftless Area of Jo Daviess County, Illinois. Circular 586, Illinois State Geological Survey, Prairie Research Institute, University of Illinois Urbana-Champaign, 2017. https://isgs.illinois.edu/maps/county-maps/karst-terrain/jo-daviess-0Panno, S.V., Walton R. Kelly, John Scott, Wei Zheng, Rachel E. McNeish, Nancy Holm, Timothy J. Hoellein, and Elizabeth L. Baranski. Microplastic Contamination in Karst Groundwater Systems. Groundwater.57(2):189-196. doi:10.1111/gwat.12862,2019. https://ngwa.onlinelibrary.wiley.com/doi/10.1111/gwat.12862

A cells polygon feature class was created by the U.S. Geological Survey (USGS) to illustrate the degree of exploration, type of production, and distribution of production in the State of Kentucky. Each cell represents a quarter-mile square of the land surface, and the cells are coded to represent whether the wells included within the cell are predominantly oil-producing, gas-producing, both oil and gas-producing, or the type of production of the wells located within the cell is unknown or dry. Data were retrieved from the Kentucky Oil and Gas Well Records database and saved as a shapefile of oil and gas well locations for Kentucky. Cells were developed as a graphic solution to overcome the problem of displaying proprietary well data. No proprietary data are displayed or included in the cell maps. The data are current as of 2005.

Watershed Data Management (WDM) database file WBDR18.WDM is updated with the quality-assured and quality-controlled meteorological and hydrologic data for the period October 1, 2018, through September 30, 2019, following the guidelines documented in Bera (2017) and is renamed as WBDR19.WDM. Meteorological data other than precipitation (wind speed, solar radiation, air temperature, dewpoint temperature, and potential evapotranspiration) were copied from ARGN19.WDM and stored in this WDM file. Errors have been found in each of ARGNXX.WDM prior to Water Year (WY) 2023. XX represents last two digits of a WY. A WY is the 12-month period, October 1 through September 30, in which it ends. WBDR19.WDM contains erroneous meteorological data and related flag values thereby. WBDR19.WDM is removed. User is advised to download WBDR22.WDM from https://doi.org/10.5066/P1LDIASU. WBDR22.WDM contains corrected meteorological data from ARGN23.WDM (Bera, 2024a) for the period from January 1, 1997, through September 30, 2022. This database file also contains the quality-assured and quality-controlled hydrologic data for the period January 1, 1997, through September 30, 2022, processed following the guidelines documented in Bera (2017). While WBDR19.WDM is available from the author, all the records in WBDR19.WDM can be found in WBDR22.WDM as well. This version of data release describes the watershed data management (WDM) database file WBDR22.WDM (Bera, 2024b). It contains the quality-assured and quality-controlled meteorological and hydrologic data for the period October 1, 2007, through September 30, 2022, following the guidelines documented in Bera (2017). Data in dataset number (DSN) 107 and 801–811 are used in comparisons of precipitation data. DSN 107 contains hourly precipitation data from tipping bucket raingages collected at Argonne National Laboratory at Argonne, Illinois. DSN 801-811 contains the processed Next Generation Weather Radar (NEXRAD)-Multisensor Precipitation Estimates (MPE) data from 11 NEXRAD–MPE subbasins in the West Branch DuPage River watershed as described in Bera and Ortel (2018). The data are downloaded and uploaded daily into a WDM database that is used for the real-time streamflow simulation system. Data from DSN 107 and 801-811 are copied from this WDM and stored in WBDR22.WDM. DSN 107 and 801-811 are updated with the data through September 30, 2022. Data in DSN 4031 (water-surface elevation from West Branch DuPage River at Fawell Dam) is updated through September 30, 2022, similarly (Bera, 2017). The complete list of missing precipitation data period and the nearby stations used to fill in those missing periods from October 1, 2018, through September 30, 2019, is given in the table, missing_data (available in csv format). The list of snow affected days of precipitation data and the missing and estimated period of the stage and flow data in WBDR22.WDM database during the period October 1, 2018, through September 30, 2019, are given in the USGS annual Water Data Report at https://wdr.water.usgs.gov. To open WBDR22.WDM file user needs to install Sara Timeseries utility described in the section "Related External Resources". First posted - March 1, 2021 (available from author) References Cited: Bera, M., 2024a, Meteorological Database, Argonne National Laboratory, Illinois: U.S. Geological Survey data release, https://doi.org/10.5066/P146RBHK. _ 2024b, Watershed Data Management (WDM) Database (WBDR22.WDM) for West Branch DuPage River Streamflow Simulation, DuPage County, Illinois, January 1, 2007, through September 30, 2022: U.S. Geological Survey data release, https://doi.org/10.5066/P1LDIASU. Bera, M., and Ortel, T.W., 2018, Processing of next generation weather radar-multisensor precipitation estimates and quantitative precipitation forecast data for the DuPage County streamflow simulation system: U.S. Geological Survey Open-File Report 2017–1159, 16 p., https://doi.org/10.3133/ofr20171159. Bera, M., 2017, Watershed Data Management (WDM) database for West Branch DuPage River streamflow simulation, DuPage County, Illinois, January 1, 2007, through September 30, 2013: U.S. Geological Survey Open-File Report 2017–1099, 39 p., https://doi.org/10.3133/ofr20171099.

An Insitu Level Troll 500 was deployed in the Brandon Road Lock chamber (BRLD) near Rockdale, Illinois between 12:09 Central Daylight Time (CDT) on October 19, 2015 and 14:57 CDT October 21, 2015 to monitor water-surface elevation in the lock chamber during a U.S. Geological Survey dye study conducted on October 20, 2015. The duration of the deployment included a day prior to and a day following the dye study to capture the lock operations leading up to and following the dye study. The instrument was deployed within conduit placed inside the ladder well near the 500-foot station on the right wall of the lock chamber (when looking downstream). At the time of deployment, the Level Troll was calibrated to the water surface elevation readings (headwater elevation; upstream gates open) as measured by the U.S. Army Corps of Engineers at Brandon Road Lock and Dam. On October 20, 2015, the lock chamber at BRLD was dyed with 4 liters of Rhodamine WT dye during a routine filling procedure. After filling and dye concentration measurements in the lock were complete, the lock was emptied and followed by a 17-minute flushing operation of the lock. Water surface elevation measurements were taken at a frequency of 1 measurement every minute by the Level Troll. Data logging was stopped and the data were recovered on October 21, 2015.