Description: This data layer contains the geologic structures that are represented as lines on the 1:24,000-scale bedrock-geology maps. Examples include faults, anticlines, and synclines. The lines were originally derived from the 1:24,000-scale bedrock-geology maps, which were created between the mid 1960's through 1997. Detailed mapping at 1:24,000 scale was performed in Ohio from the 1960's to the 1980's. During that time period, 37 7.5-minute quadrangles were mapped in detail. The bedrock-geology mapping program was initiated at the Ohio Division of Geological Survey in 1991 to perform reconnaissance geologic mapping at 1:24,000 scale. The reconnaissance and detailed geologic mapping have been combined together into this GIS dataset. There will be edge-matching issues between the reconnaissance and detailed geologic maps.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: This data layer was created using funds from the state of Ohio Mineral Severance Tax, U.S. Geological Survey COGEOMAP and STATEMAP grants, U.S. EPA Nonpoint Source Pollution program 319(h) grants, and grants from the Ohio Department of Transportation.
Description: This data layer contains the 1:24,000-scale bedrock-geology polygons for Ohio. The polygons were originally derived from the 1:24,000-scale bedrock-geology maps, which were created between the mid 1960's through 1997. Detailed mapping at 1:24,000 scale was performed in Ohio from the 1960's to the 1980's. During that time period, 37 7.5-minute quadrangles were mapped in detail. The bedrock-geology mapping program was initiated at the Ohio Division of Geological Survey in 1991 to perform reconnaissance geologic mapping at 1:24,000 scale. The reconnaissance and detailed geologic mapping have been combined together into this GIS dataset. There will be edge-matching issues between the reconnaissance and detailed geologic maps.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: This data layer was created using funds from the state of Ohio Mineral Severance Tax, U.S. Geological Survey COGEOMAP and STATEMAP grants, U.S. EPA Nonpoint Source Pollution program 319(h) grants, and grants from the Ohio Department of Transportation.
Description: This data layer contains the 1:500,000-scale bedrock-geology polygons for Ohio. The polygons were originally derived from the 1:24,000-scale bedrock-geology maps, that were created between 1989 through 1998. The bedrock-geology mapping program was initiated in the mid-1980s to perform detailed, 1:24,000-scale bedrock-geology maps. In 1991, the mapping approach was amended to a reconnaissance mapping methodology, but retaining the 1:24,000 scale. Both detail and reconnaissance bedrock-geologic maps were used as the basic information to compile the 1:500,000-scale, Bedrock Geologic Map of Ohio.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: Production of the 7.5-minute, reconnaissance and detail, bedrock-geology maps was facilitated by funding provided by the Ohio minerals severance tax and grants from the U.S. Geological Survey COGEOMAP Program and STATEMAP component of the National Cooperative Geologic Mapping Program, the Ohio Department of Transportation, and the Ohio Environmental Protection Agency under provisions of Section 319(h) of the Clean Water Act as amended in 1987. Completion of this map and the bedrock mapping program were facilitated by significant contributions by H.R. Collins, D.N. Hull, T.M. Berg, R.L. Stewart, J. McDonald, K. Callahan, E.V. Kuehnle, J. A. Kriz, R.T. Link, D.A. Stith, C.S. Brockman, K.E. Vorbau, R.R. Pavey, M.T. Baranoski, R.W. Carlton, L. Van Doren, and R.O. Klingbeil. Cross section digitization by J.L. Fox. Reconnaissance mapping consultations provided by C.H. Summerson, J.T. Dutro, and W.D. Martin, who kindly contributed data also on the Dunkard Group in Athens and Washington Counties. S.M. Bergström, G.K. Merrill, B.M. Blake, L.E. Babcock, and M.A. Kleffner graciously assisted with geologic age refinement.
Value: Oda Label: Oda - Preachersville Member of the Drakes Formation, Waynesville Formation, and Arnheim shale and limestone, undivided Description: N/A Symbol:
Color: [0, 0, 0, 255] Background Color: N/A Outline Color: N/A Vertical Alignment: bottom Horizontal Alignment: center Right to Left: false Angle: 0 XOffset: 0 YOffset: 0 Size: 8 Font Family: Arial Font Style: normal Font Weight: normal Font Decoration: none
Color: [0, 0, 0, 255] Background Color: N/A Outline Color: N/A Vertical Alignment: baseline Horizontal Alignment: left Right to Left: false Angle: 0 XOffset: 0 YOffset: 0 Size: 8 Font Family: Arial Font Style: normal Font Weight: normal Font Decoration: none
Description: This dataset shows the glacial boundary in Ohio.Since the publication of the Glacial map of Ohio (Goldthwait, White, and Forsyth, 1961, U.S. Geological Survey Miscellaneous Geologic Investigations Map I-316), many workers have continued efforts to decipher the Quaternary history, geomorphology, and deposits of Ohio. This map of the Quaternary geology of Ohio attempts to consolidate this improved understanding of Quaternary geology in a uniform format for the entire state.Compilation ws begun by the late Dr. Richard P. Goldthwait, to whom this map is dedicated. Additional revisions and compilation of a series of 1:250,000-scale open-file maps (Ohio Division of Geological Survey Open-File Maps 291-300, 1993) were completed by staff of the Ohio Geological Survey, prior to preparation of this map. The individual maps used to compile this map differ widely in age, scope, and detail. Many areas of complex geology have been simplified to fit the scale and map units of this map. Refer to the data sources listed below for available maps that have more detail at a larger scale. The geological units on this map are grouped by age, depositional process, (water-deposited, ice-deposited, etc.), and geomorphic occurance (ground moraine, end moraine, hummocky moraine, etc.). For example, the most common unit in northeastern Ohio is G4, a Late Wisconsinan-age clayey till (Hiram Till) depositied as ground moraine.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: This publication was financed in part through a grant from the Ohio Environmental Protection Agency under provision of Section 319 (h) of the Clean Water Act as amended in 1987. Digital conversion was performed by Terry Wells of the Ohio Division of Real Estate and Land Management.
Description: Since the publication of the Glacial map of Ohio (Goldthwait, White, and Forsyth, 1961, U.S. Geological Survey Miscellaneous Geologic Investigations Map I-316), many workers have continued efforts to decipher the Quaternary history, geomorphology, and deposits of Ohio. This map of the Quaternary geology of Ohio attempts to consolidate this improved understanding of Quaternary geology in a uniform format for the entire state.Compilation ws begun by the late Dr. Richard P. Goldthwait, to whom this map is dedicated. Additional revisions and compilation of a series of 1:250,000-scale open-file maps (Ohio Division of Geological Survey Open-File Maps 291-300, 1993) were completed by staff of the Ohio Geological Survey, prior to preparation of this map. The individual maps used to compile this map differ widely in age, scope, and detail. Many areas of complex geology have been simplified to fit the scale and map units of this map. Refer to the data sources listed below for available maps that have more detail at a larger scale. The geological units on this map are grouped by age, depositional process, (water-deposited, ice-deposited, etc.), and geomorphic occurance (ground moraine, end moraine, hummocky moraine, etc.). For example, the most common unit in northeastern Ohio is G4, a Late Wisconsinan-age clayey till (Hiram Till) depositied as ground moraine.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: This publication was financed in part through a grant from the Ohio Environmental Protection Agency under provision of Section 319 (h) of the Clean Water Act as amended in 1987. Digital conversion was performed by Terry Wells of the Ohio Division of Real Estate and Land Management.
Unique Value Renderer: Field 1: lith Field 2: depth_over Field 3: N/A Field Delimiter: , Default Symbol:
N/A
Default Label: N/A UniqueValueInfos:
Value: LS,NO Label: Silurian- and Devonian-age carbonate bedrock overlain by less than 20 feet of glacial drift and/or alluvium Description: N/A Symbol:
Value: LS,YES Label: Silurian- and Devonian-age carbonate bedrock overlain by more than 20 feet of glacial drift and/or alluvium Description: N/A Symbol:
Value: LS-SH,NO Label: Interbedded Ordovician-age limestone and shale overlain by less than 20 feet of glacial drift and/or alluvium Description: N/A Symbol:
Value: LS-SH,YES Label: Interbedded Ordovician-age limestone and shale overlain by more than 20 feet of glacial drift and/or alluvium Description: N/A Symbol:
Description: These points represent entries to underground mines, such as mine shafts, air shafts, drift entries, or slope entries.The AUM_Openings dataset contains updated features originally extracted from the Abandoned Underground Mines information by the Ohio Department of Natural Resources, Division of Geological Survey.Original data was provided by the Ohio Department of Natural Resources, Division of Geological Survey. Funding was awarded by The U.S. Office of Surface Mining to update the dataset from a 2016 grant titled "Ohio Underground Mine GIS". Principal Authors: Ben McCament, Chris Freidhof, Lee Sorrell. Project Staff: Kate Blyth, Eugene Hancock, Gracie Keyes, Jackie Kloepfer, Sarah Maj, Nora Sullivan, Paul Verga.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: Ohio Department of Natural Resources
Description: These points indicate where mining activity has taken place, but the bounds of the mined areas are unknown and no detailed mine maps are known to exist. This data layer was not updated during the 2016-2019 Underground Mine Mapping Division of Mineral Resources Project, but has been included for sake of completeness. This layer may be revised at a later date. This map is based upon data and GIS coverages developed over many years by various professional and technical personnel employed by several state and federal agencies. The U.S. Office of Surface Mining is acknowledged for providing funding to create the abandoned underground mine (AUM) map products; the Ohio Mine Subsidence Insurance Underwriting Association is acknowledged for partially funding the 1995-1996 map digitization project. The final development of a statewide AUM map was contingent upon the Ohio Department of Transportation's AUMIRA program, which provided the financial incentive for establishing a long-term GIS. The Division of Geological Survey is grateful to the U.S. Department of Labor, Mine Safety and Health Administration for co-funding the Division of Geological Survey's continued effort in georeferencing AUM maps in the GIS environment. This investigation and resulting products are based upon the foundational work of current and former Division of Geological Survey staff members Leonard Guckenheimer, Katherine Jennings, Douglas Keen, Ed Kuehnle, Mary Lee, Mike Lester, James Lowery, David Richardson, Victor Saylor, Robert Stewart, Adam Turk, Cynthia Westbrook, Marie Whiteneck, Larry Wickstrom, and Garry Yates. Subsequently, Dennis Hull and Thomas Berg provided technical reviews. Invaluable assistance was provided by Division of Geological Survey interns Alex Eddy, Emily Foley, Ethan Fuecht, Benjamin Growley, Alex Harnocz, Casey Leonard, Joseph Marulli, Chris Miller, Susan Minamide, Vanessa Riley and James Wright in the compilation of data, digitization of maps, and performance of quality-assurance checks. Ohio Department of Natural Resources staff members who created the first GIS coverages of AUM maps include Terry Wells and Jason Bucher of the Division of Real Estate and Land Management, and Robert Lasley, Joyce Schramm, and Scott Stiteler of the Division of Mineral Resources Management (DMRM). Harry Payne and John Husted of DMRM worked cooperatively with the Division of Geological Survey for many years on various phases of this work and are commended for their diligence and spirit. Greig Robertson and the staff of the Ohio Office of Surface Mining Reclamation and Enforcement have been valuable partners in the compilation of AUM information as well. The Ohio Department of Transportation, Office of Geotechnical Engineering (OGE) has become a dedicated supporter of efforts to develop accurate information about abandoned underground mines in the state. The Division of Geological Survey greatly appreciates the assistance received from Kirk Beach and Rick Ruegsegger of OGE during the digital conversion of abandoned underground mine images and information.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: Ohio Department of Natural Resources
Description: The polygons attempt to show the extent of known underground mines in Ohio. The AUM_MINES_MRM dataset contains updated features originally extracted from the Abandoned Underground Mines information by the Ohio Department of Natural Resources, Division of Geological Survey.Original data was provided by the Ohio Department of Natural Resources, Division of Geological Survey. Funding was awarded by The U.S. Office of Surface Mining to update the dataset from a 2016 grant titled "Ohio Underground Mine GIS". Principal Authors: Ben McCament, Chris Freidhof, Lee Sorrell. Project Staff: Kate Blyth, Eugene Hancock, Gracie Keyes, Jackie Kloepfer, Sarah Maj, Nora Sullivan, Paul Verga.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: Ohio Department of Natural Resources
Description: The polygons attempt to show the uknown extent of known underground mines in Ohio. The AUM_MINES_MRM dataset contains updated features originally extracted from the Abandoned Underground Mines information by the Ohio Department of Natural Resources, Division of Geological SurveyFunding was awarded by The U.S. Office of Surface Mining to update the dataset from a 2016 grant titled "Ohio Underground Mine GIS". Principal Authors: Ben McCament, Chris Freidhof, Lee Sorrell. Project Staff: Kate Blyth, Eugene Hancock, Gracie Keyes, Jackie Kloepfer, Sarah Maj, Nora Sullivan, Paul Verga.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: Ohio Department of Natural Resources
Color: [0, 0, 0, 255] Background Color: N/A Outline Color: N/A Vertical Alignment: baseline Horizontal Alignment: left Right to Left: false Angle: 0 XOffset: 0 YOffset: 0 Size: 8 Font Family: Arial Font Style: normal Font Weight: normal Font Decoration: none
Description: This is a map of the base elevation of the Pittsburgh (No.8) Coal Bed created by the Ohio Geological Survey in 2015. This raster was created with a point GIS file containing Pittsburgh base elevations and thicknesses. The public data points file that this map was derived from is called "Public_Pittsburgh_Points". For more information please see the Ohio Geological Survey Publication “Evaluation Of Available Resources Of The Pittsburgh (No. 8) Coal Bed In Ohio”. Raster cell values represent the base elevation of the coal bed in feet. This raster was created with Natural Neighbor interpolation. Cell size is 100ft.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: This is a product of the Ohio Department of Natural Resources, Division of Geological Survey. Production of this map is based on funding by the Ohio Coal Development Office.
Color: [0, 0, 0, 255] Background Color: N/A Outline Color: N/A Vertical Alignment: baseline Horizontal Alignment: left Right to Left: false Angle: 0 XOffset: 0 YOffset: 0 Size: 8 Font Family: Arial Font Style: normal Font Weight: normal Font Decoration: none
EDITMADE
(
type: esriFieldTypeDouble, alias: EDITMADE
, Coded Values:
[0: ORIGINAL -- well location and attributes correct; no changes made]
, [1: HIGH CONFIDENCE -- well location and attributes modified with a high degree of confidence]
, [2: MODERATE CONFIDENCE -- well location and attributes modified with a moderate degree of confidence]
, ...2 more...
)
Description: A potentiometric surface map is a contour map that represents the top of the ground water surface in an aquifer. The contour lines illustrate the potentiometric surface much as the contour lines of a topographic map represent a visual model of the ground surface. A potentiometric surface map is very similar to a water table map in that both show the horizontal direction and gradient of ground water flow. The No Aquifer polygons define areas were the unconsolidated glacial materials were not rated because they are either absent or are less than 25 feet in depth to bedrock
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: Ohio Department of Natural Resources
Color: [137, 112, 68, 255] Background Color: N/A Outline Color: N/A Vertical Alignment: baseline Horizontal Alignment: left Right to Left: false Angle: 0 XOffset: 0 YOffset: 0 Size: 8 Font Family: Arial Font Style: normal Font Weight: normal Font Decoration: none
Description: A potentiometric surface map is a contour map that represents the top of the ground water surface in an aquifer. The contour lines illustrate the potentiometric surface much like the contour lines of a topographic map represent a visual model of the ground surface. A potentiometric surface map is very similar to a water table map in that both show the horizontal direction and gradient of ground water flow.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: Ohio Department of Natural Resources
Color: [0, 0, 0, 255] Background Color: N/A Outline Color: N/A Vertical Alignment: baseline Horizontal Alignment: left Right to Left: false Angle: 0 XOffset: 0 YOffset: 0 Size: 8 Font Family: Arial Font Style: normal Font Weight: normal Font Decoration: none
Name: Sand and Gravel Aquifers (yield in gallons per minute)
Display Field: NAME
Type: Feature Layer
Geometry Type: esriGeometryPolygon
Description: Polygon feature class depicting the geographic extent, yield, drift thickness, hydrogeologic setting, lithology, and aquifer name for the unconsolidated aquifers of Ohio.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: Ohio Department of Natural Resources
Color: [0, 0, 0, 255] Background Color: N/A Outline Color: N/A Vertical Alignment: bottom Horizontal Alignment: center Right to Left: false Angle: 0 XOffset: 0 YOffset: 0 Size: 8 Font Family: Arial Font Style: normal Font Weight: normal Font Decoration: none
Description: This polygon feature class is a derivative dataset of the 31 consolidated aquifer feature classes. The dataset was created using a series of "union" functions, beginning with a union of Ohio's youngest water-bearing formation (Permian Dunkard aquifer) with the next stratigraphically oldest water-bearing formation (Pennsylvanian undivided aquifer). The resulting feature class was then used in a subsequent union with next progressively older aquifer formation feature class. This process was repeated until all 31 consolidated aquifer feature classes were included. The final dataset is a feature class of polygons representing the location of all consolidated aquifers throughout Ohio that maintains attributes in correct stratigraphic order. When using the identify tool on this feature class, the results show the bedrock aquifers from the top (highest elevation) to the bottom (lowest elevation) for any area in Ohio.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: Ohio Department of Natural Resources
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>GV maps describe each area aquifer’s relative vulnerability to groundwater contamination, with lower Index values indicating less vulnerable conditions and higher values indicating higher vulnerability. They are calculated by weighing and summing the 7 DRASTIC parameters (D – Depth to Water, R – Net Recharge, A - Aquifer Media, S – Soil Media, T – Topography, I – Impact of Vadose Zone Media, C – Hydraulic Conductivity) according to the following formula, where W is the parameter’s weight and R its rating: </SPAN><SPAN STYLE="font-weight:bold;"><SPAN>GV Index</SPAN></SPAN><SPAN><SPAN>= W</SPAN></SPAN><SPAN><SPAN>D</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>D</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>R</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>R</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>A</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>A</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>S</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>S</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>T</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>T</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>I</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>I</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>C</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>C</SPAN></SPAN><SPAN>.</SPAN></P></DIV></DIV></DIV>
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: C. B. Nelson, T. R. Valachovics, M. P. Angle, K. M. Hardin, T. A. Nash, P. N. Spahr, J. M. Raab, C. J. Coe
Description: GV maps describe each area aquifer’s relative vulnerability to groundwater contamination, with lower Index values indicating less vulnerable conditions and higher values indicating higher vulnerability. They are calculated by weighing and summing the 7 DRASTIC parameters (D – Depth to Water, R – Net Recharge, A - Aquifer Media, S – Soil Media, T – Topography, I – Impact of Vadose Zone Media, C – Hydraulic Conductivity) according to the following formula, where W is the parameter’s weight and R its rating: GV Index= WD•RD+ WR•RR+ WA•RA+ WS•RS+ WT•RT+ WI•RI+ WC•RC.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: C. B. Nelson, T. R. Valachovics, M. P. Angle, K. M. Hardin, T. A. Nash, P. N. Spahr, J. M. Raab, C. J. Coe
Description: GV maps describe each area aquifer’s relative vulnerability to groundwater contamination, with lower Index values indicating less vulnerable conditions and higher values indicating higher vulnerability. They are calculated by weighing and summing the 7 DRASTIC parameters (D – Depth to Water, R – Net Recharge, A - Aquifer Media, S – Soil Media, T – Topography, I – Impact of Vadose Zone Media, C – Hydraulic Conductivity) according to the following formula, where W is the parameter’s weight and R its rating: GV Index= WD•RD+ WR•RR+ WA•RA+ WS•RS+ WT•RT+ WI•RI+ WC•RC.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: C. B. Nelson, T. R. Valachovics, M. P. Angle, K. M. Hardin, T. A. Nash, P. N. Spahr, J. M. Raab, C. J. Coe
Description: GV maps describe each area aquifer’s relative vulnerability to groundwater contamination, with lower Index values indicating less vulnerable conditions and higher values indicating higher vulnerability. They are calculated by weighing and summing the 7 DRASTIC parameters (D – Depth to Water, R – Net Recharge, A - Aquifer Media, S – Soil Media, T – Topography, I – Impact of Vadose Zone Media, C – Hydraulic Conductivity) according to the following formula, where W is the parameter’s weight and R its rating: GV Index= WD•RD+ WR•RR+ WA•RA+ WS•RS+ WT•RT+ WI•RI+ WC•RC.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: C. B. Nelson, T. R. Valachovics, M. P. Angle, K. M. Hardin, T. A. Nash, P. N. Spahr, J. M. Raab, C. J. Coe
Description: GV maps describe each area aquifer’s relative vulnerability to groundwater contamination, with lower Index values indicating less vulnerable conditions and higher values indicating higher vulnerability. They are calculated by weighing and summing the 7 DRASTIC parameters (D – Depth to Water, R – Net Recharge, A - Aquifer Media, S – Soil Media, T – Topography, I – Impact of Vadose Zone Media, C – Hydraulic Conductivity) according to the following formula, where W is the parameter’s weight and R its rating: GV Index= WD•RD+ WR•RR+ WA•RA+ WS•RS+ WT•RT+ WI•RI+ WC•RC.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: C. B. Nelson, T. R. Valachovics, M. P. Angle, K. M. Hardin, T. A. Nash, P. N. Spahr, J. M. Raab, C. J. Coe
Description: GV maps describe each area aquifer’s relative vulnerability to groundwater contamination, with lower Index values indicating less vulnerable conditions and higher values indicating higher vulnerability. They are calculated by weighing and summing the 7 DRASTIC parameters (D – Depth to Water, R – Net Recharge, A - Aquifer Media, S – Soil Media, T – Topography, I – Impact of Vadose Zone Media, C – Hydraulic Conductivity) according to the following formula, where W is the parameter’s weight and R its rating: GV Index= WD•RD+ WR•RR+ WA•RA+ WS•RS+ WT•RT+ WI•RI+ WC•RC.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: C. B. Nelson, T. R. Valachovics, M. P. Angle, K. M. Hardin, T. A. Nash, P. N. Spahr, J. M. Raab, C. J. Coe
Description: GV maps describe each area aquifer’s relative vulnerability to groundwater contamination, with lower Index values indicating less vulnerable conditions and higher values indicating higher vulnerability. They are calculated by weighing and summing the 7 DRASTIC parameters (D – Depth to Water, R – Net Recharge, A - Aquifer Media, S – Soil Media, T – Topography, I – Impact of Vadose Zone Media, C – Hydraulic Conductivity) according to the following formula, where W is the parameter’s weight and R its rating: GV Index= WD•RD+ WR•RR+ WA•RA+ WS•RS+ WT•RT+ WI•RI+ WC•RC.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: C. B. Nelson, T. R. Valachovics, M. P. Angle, K. M. Hardin, T. A. Nash, P. N. Spahr, J. M. Raab, C. J. Coe
Description: GV maps describe each area aquifer’s relative vulnerability to groundwater contamination, with lower Index values indicating less vulnerable conditions and higher values indicating higher vulnerability. They are calculated by weighing and summing the 7 DRASTIC parameters (D – Depth to Water, R – Net Recharge, A - Aquifer Media, S – Soil Media, T – Topography, I – Impact of Vadose Zone Media, C – Hydraulic Conductivity) according to the following formula, where W is the parameter’s weight and R its rating: GV Index= WD•RD+ WR•RR+ WA•RA+ WS•RS+ WT•RT+ WI•RI+ WC•RC.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: C. B. Nelson, T. R. Valachovics, M. P. Angle, K. M. Hardin, T. A. Nash, P. N. Spahr, J. M. Raab, C. J. Coe
Description: GV maps describe each area aquifer’s relative vulnerability to groundwater contamination, with lower Index values indicating less vulnerable conditions and higher values indicating higher vulnerability. They are calculated by weighing and summing the 7 DRASTIC parameters (D – Depth to Water, R – Net Recharge, A - Aquifer Media, S – Soil Media, T – Topography, I – Impact of Vadose Zone Media, C – Hydraulic Conductivity) according to the following formula, where W is the parameter’s weight and R its rating: GV Index= WD•RD+ WR•RR+ WA•RA+ WS•RS+ WT•RT+ WI•RI+ WC•RC.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: C. B. Nelson, T. R. Valachovics, M. P. Angle, K. M. Hardin, T. A. Nash, P. N. Spahr, J. M. Raab, C. J. Coe
Description: GV maps describe each area aquifer’s relative vulnerability to groundwater contamination, with lower Index values indicating less vulnerable conditions and higher values indicating higher vulnerability. They are calculated by weighing and summing the 7 DRASTIC parameters (D – Depth to Water, R – Net Recharge, A - Aquifer Media, S – Soil Media, T – Topography, I – Impact of Vadose Zone Media, C – Hydraulic Conductivity) according to the following formula, where W is the parameter’s weight and R its rating: GV Index= WD•RD+ WR•RR+ WA•RA+ WS•RS+ WT•RT+ WI•RI+ WC•RC.
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: C. B. Nelson, T. R. Valachovics, M. P. Angle, K. M. Hardin, T. A. Nash, P. N. Spahr, J. M. Raab, C. J. Coe
Description: <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>GV maps describe each area aquifer’s relative vulnerability to groundwater contamination, with lower Index values indicating less vulnerable conditions and higher values indicating higher vulnerability. They are calculated by weighing and summing the 7 DRASTIC parameters (D – Depth to Water, R – Net Recharge, A - Aquifer Media, S – Soil Media, T – Topography, I – Impact of Vadose Zone Media, C – Hydraulic Conductivity) according to the following formula, where W is the parameter’s weight and R its rating: </SPAN><SPAN STYLE="font-weight:bold;"><SPAN>GV Index</SPAN></SPAN><SPAN><SPAN>= W</SPAN></SPAN><SPAN><SPAN>D</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>D</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>R</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>R</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>A</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>A</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>S</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>S</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>T</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>T</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>I</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>I</SPAN></SPAN><SPAN><SPAN>+ W</SPAN></SPAN><SPAN><SPAN>C</SPAN></SPAN><SPAN><SPAN>•R</SPAN></SPAN><SPAN><SPAN>C</SPAN></SPAN><SPAN>.</SPAN></P></DIV></DIV></DIV>
Service Item Id: 5f578d2913674653b7aff68b3469ce8e
Copyright Text: C. B. Nelson, T. R. Valachovics, M. P. Angle, K. M. Hardin, T. A. Nash, P. N. Spahr, J. M. Raab, C. J. Coe