Josh Woda
Jason Finkelstein
John Williams
20220502
Interpolated Hydrogeologic Framework and Digitized Datasets for Upstate New York Study Areas
Data Release
Troy, NY
U.S. Geological Survey
https://doi.org/10.5066/P96R5K5R
Nicholas Corson-Dosch
Michael N. Fienen
Jason S. Finkelstein
Andrew T. Leaf
Jeremy T. White
Joshua C. Woda
John H. Williams
2022
Areas contributing recharge to priority wells in valley-fill aquifers in the Neversink River and Rondout Creek drainage basins, New York
publication
n/a
US Geological Survey
https://doi.org/10.3133/sir20215112
This dataset includes "smoothing points" used in the creation of the Greene hydrogeologic framework. Smoothing points were manually added by the project team and were used to enhance interpolated layers using geologic assumptions and include: valley edge points, bedrock points derived from cross sections, centerline bedrock points (and where applicable L1 and L2 points), and upland bedrock SSURGO points.
The purpose of this dataset was to guide the raster generation models using sound geologic assumptions.
2019
2020
ground condition
None planned
-75.8
-75.65
42.5
42.27
USGS Thesaurus
Sourcewater
Valley Fill
Bedrock Mapping
Aquifer mapping
Glacial geology
USGS Metadata Identifier
USGS:5fc54d6dd34e4b9faad88840
Getty Thesaurus of Geographic Names
Greene
New York
Chenango County
none
none
Joshua C Woda
NORTHEAST REGION: NEW YORK WATER SCI CTR
Hydrologist
mailing and physical
425 Jordan Road
Troy
NY
12180
US
518-285-5606
jwoda@usgs.gov
Values were quality checked multiple ways, including outlier detection and physical examination of the data.
A check was performed for duplication. Supplementary point elevation data were checked to ensure for logical geologic sense (i.e. bedrock elevation is not above land surface).
Dataset is considered complete for the information presented, as described in the abstract. Users are advised to read the rest of the metadata record carefully for additional details.
No formal positional accuracy tests were conducted
Values were quality checked multiple ways, including outlier detection and physical examination of the data.
The United States Geologic Survey
2020
NWIS well log data
Database table
https://waterdata.usgs.gov/nwis
The United States Geologic Survey
https://waterdata.usgs.gov/nwis
Database table
19760916
20190729
incomplete
NWIS well log data
This data was used to help define the depth to bedrock
The New York Department of Environmental Conservation
2020
NY DEC well logs
Well logs and spreadsheet
Albany, NY
The New York Department of Environmental Conservation
https://webapps.usgs.gov/geologlocator/#!/search
Well Logs
19300201
20190630
incomplete
NY DEC well logs
This data provided by the NY DEC was used to help define hydrogeologic layers, surficial geology, and better understand the subsurface in general
The New York Department of Transportation
2020
NY Department of Transportation Boreholes
Boring logs provided as shapefile
N/A
The New York Department of Transportation
https://waterdata.usgs.gov/nwis
Boring logs provided as shapefile
19660908
20180328
incomplete
NY DOT Boreholes
This data provided by the NY DOT was used to help define hydrogeologic layers, surficial geology, and better understand the subsurface in general
U.S. Department of Agriculture, Natural Resources Conservation Service
20150921
SSURGO soils, Chenango County NY
shapefile Data
Fort Worth, Texas
U.S. Department of Agriculture, Natural Resources Conservation Service
https://cugir.library.cornell.edu/catalog/cugir-007902
shapefile Data
20070918
20150921
Complete
SSURGO
Soil Survey Geographic Database for Chenango County, NY
Terrapoint USA
20080307
New York State LiDAR Survey - Delaware and Susquehanna River Basin
Raster coverage
Houston, Texas
Terrapoint USA
https://gis.ny.gov/elevation/metadata/Terrapoint-2007-209-U-NY-Susquehanna-Delaware-FEMA.xml
Raster coverage
20070422
20070513
Complete
LIDAR coverage
LIDAR was used as a benchmark to: help define hydrogeologic layer elevations and, adjust and create surficial geology, and provide understanding about the hydrogeologic framework
Kari K. Hetcher-Aguila and Todd S. Miller
2005
Geohydrology of the Valley-Fill Aquifers between the Village of Greene, Chenango County and Chenango Valley State Park, Broome County, New York
Images (i.e. PDFS)
Reston, VA
U.S. Geological Survey
https://pubs.er.usgs.gov/publication/sim2914
Report Plates
20050101
20050102
Current
Geohydrology of the Valley-Fill Aquifers between the Village of Greene, Chenango County and Chenango Valley State Park, Broome County, New York
This data was first georeferenced into ArcGIS and then important data (i.e depth to bedrock and aquifer thickness) were digitized into shapefiles/feature classes
Kari K. Hetcher, Todd S. Miller, James D. Garry, and Richard J. Reynolds
2003
Geohydrology of the Valley-Fill Aquifer in the Norwich-Oxford-Brisben Area, Chenango County, New York
Images (i.e. PDFS)
Reston, VA
U.S. Geological Survey
https://pubs.er.usgs.gov/publication/ofr03242
Report Plates
20030101
20030102
Current
Geohydrology of the Valley-Fill Aquifer in the Norwich-Oxford-Brisben Area, Chenango County, New York
This data was first georeferenced into ArcGIS and then important data (i.e depth to bedrock and aquifer thickness) were digitized into shapefiles/feature classes
Casing - Minimum Depth Bedrock Uplands: The casing method primarily conducted on wells originating from NWIS. Thus the first step was to bring all groundwater NWIS wells in the study area into ArcGIS. Drillers commonly set casing lengths to go 10 ft into bedrock. Thus, the assumption was made that in wells where the total well depth was at least 20 ft greater than the casing depth, the unconsolidated thickness was estimated to be 10 ft less than casing length. This subtraction was performed within ArcGIS.
2019
Bedrock - Valley report cross section: In order to add bedrock points along known cross sections, reports plate Tiffs with cross sections were brought into ArcGIS and georeferenced with respect to their correct location. After georeferencing, cross section lines were digitized (hand drawn) within ArcGIS. Points with bedrock elevations were added along this line where the cross section and known land surface features (i.e well locations) could be verified on both.
2019
Minimum Depth Bedrock Valley , 'L1 - Minimum Depth , : Minimum bedrock depths for DEC wells were used when data was lacking. DEC wells were provided to the USGS by the NY DEC. Every log within the study area was looked at and geologic layers pertaining to the hydrogeologic framework were recorded in an excel spreadsheet before being uploaded into ArcGIS as a point dataset. When available, point datasets eventually contained elevations of the bottom of the unconfined aquifer (L1), bottom of the confining unit (L2), and top of bedrock (L3). When data was lacking in an area, but a relatively deep well was present, it was assumed that the depth of the well was the bedrock depth (to ensure that bedrock was not modeled excessively shallow).
2019
Smoothing points: smoothing points were added for both bedrock and valley fill hydrogeologic layers to help guide the interpolation in areas where data was lacking, or to mimic known valley fill shapes (i.e. the U shape of typical valley fill valleys). For bedrock, equidistant smoothing points (200 feet) were generated in a straight line down the center of the valley. Smoothing points nearby known bedrock elevations (i.e a bedrock elevation derived from a well log or cross section) were assigned the known value. Points in between these were assigned values calculated from the linear difference between the two known points. These points assure that valley shape (i.e deep part of valley typically in the center of the valley) is preserved. Smoothing points were also added within select regions of the study area for defining the bottom of L1 and L2 where data was extremely sparse. Smoothing point values were assigned in a similar manner as bedrock, but with larger spacing between points.
Specific to the Greene study area, two separate valley interpolations were performed for L1 and L2 based on where report data was present and absent. Smoothing points were added along the boundary between the northern L1/L2 interpolation to the rest of the L1 interpolation to ensure smoothness between the separate interpolations.
2019
Valley Edge Points: Valley edge points were first generated by creating points spaced 200 feet apart placed along the aquifer boundary (assumed to be the valley edge). Bedrock was assumed to be close to the surface at these points (3.35 meters) in order to give the valley a clear U shape (common in valley fill aquifers). If strong upland bedrock data (i.e multiple well logs near the valley edge) was present that indicated a thickness greater than 3.35 meters, that data was incorporated into the nearby points.
2019
SSURGO - Bedrock Uplands: In order to add these points, SSURGO polygons were downloaded from the NY GIS Clearinghouse. Specific polygons were isolated based on known soil types that were shallow to bedrock or based on keywords that indicated that bedrock was at or near the surface. Next, a point grid (spaced 300 feet apart) was added over the entire study area and points were selected that fell within shallow bedrock SSURGO polygons. These points were assigned a depth to bedrock indicative of the minimum thickness used within this study area (i.e. 3.35 meters).
2019
Bedrock elevation values were calculated by first extracting surface elevation from the LIDAR at each well point location. The extracted LIDAR value was subtracted by the depth to bedrock value for each supplemental point, which would equal the bedrock elevation. Other layer elevations were also calculated in this manner.
2019
1.0E-5
1.0E-5
Decimal degrees
D_North_American_1983
NAD_1983
6378137.0
298.257222101
North American Vertical Datum of 1988
0.01
meter
Explicit elevation coordinate included with horizontal coordinates
Greene_supplementary_Points
This shapefile contains data points with values that are inferred or interpreted based on associated data or geologic assumptions. These data are used to help guide and improve the corresponding interpolations in ways that best represent valley fill aquifers and till covered uplands.
The authors of this dataset conceived these values
WellNO
This column only applies to 49 wells and/or DOT boreholes. For these wells, a casing method (extensively defined in Finkelstein and others, 2022) was used to establish the minimum depth to bedrock. This column serves to identify the name of these wells/boreholes
Producer defined
This column describes names, and thus does not have a set defined value or variable
Latitude
The latitude in decimal degrees of the associated point
Producer defined
42.293152
42.46806
Decimal degrees
Longitude
The longitude in decimal degrees of the associated point
Producer defined
-75.626844
-75.799603
Decimal degrees
Point_Type
Describes what kind of supplemental point the row is describing. For ease, multiple point types were compiled into one shapefile rather than having multiple datasets. The name and description of what each point type represent are further described below
Producer defined
Bedrock - Valley report cross section
These points predict the depth to bedrock, calculated using cross sections available in multiple reports
Producer-defined
Casing - Minimum Depth Bedrock Uplands
These points predict the depth to bedrock, calculated using the casing method described in Finkelstein and others, 2022
Producer-defined
L1 - Minimum Depth
These points predict the minimum possible depth of the bottom of the unconfined aquifer (bot L1), calculated using DEC well logs. This approach was only used in area where L1 data was extremely sparse. Thus using a minimum L1 depth provided better information for the model
Producer-defined
Minimum Depth Bedrock Valley
These points predict the minimum possible depth to bedrock in the valley, calculated using DEC well logs. This approach was only used in area where bedrock data was extremely sparse. Thus using a minimum bedrock depth provided better information for the model
Producer-defined
Smoothing - Bedrock Valley
These points are equidistant (200 feet) points generated in a straight line down the center of the valley. Points nearby known bedrock elevations are assigned that value. Points in between these are assigned values based on the linear difference between the two known points. These points assure that valley shape (i.e deep part of valley typically in the center of the valley) is preserved
Producer-defined
Smoothing - Layer 1 - Please look at comments
These points are used to smooth the boundary between the northern L1 interpolation to the rest of the L1 interpolation. Please refer to metadata.
Producer-defined
Smoothing - Layer 2 - Please look at comments
These points are used to smooth the boundary between the eastern L2 interpolation to the western L2 interpolation. Please refer to metadata.
Producer-defined
'SSURGO - Bedrock Uplands'
Points spaced 200 feet apart within SSURGO polygons deemed to have bedrock within 3.35 meters of the surface. These points allowed better constraint to upland bedrock surface where data was sparse
Producer-defined
Valley edge - Bedrock Uplands and Valley
Points spaced 200 feet apart placed along the aquifer boundary (assumed to be the valley edge). Bedrock was assumed to be close to the surface at these points (3.35 meters) in order to give the valley a clear U shape (common in valley fill aquifers). If strong upland bedrock data was present that indicated a thickness greater than 3.35, that data was incorporated into the nearby points.
Producer-defined
Comments
Assorted comments pertaining to select points, used to provide additional clarity about the smoothing point (when provided)
Producer defined
Assorted comments pertaining to select points, used to provide additional clarity about the smoothing point (when provided)
Elev_Meter
The surface elevation of various geologic layers (identified in the "Point_Type" column) in meters.
Producer defined
214.127273
495.019301
Meters
DTB_Meters
The depth to bedrock calculated from the land surface elevation minus the bedrock surface elevation. Any value of 0 is a NULL value within the provided shapefile. This is not applicable for the accompanying feature class, as the NULL values will be shown.
Producer Defined
3.04878
76.74
Meters
ScienceBase
U.S. Geological Survey
mailing and physical
Denver Federal Center, Building 810, Mail Stop 302
Denver
CO
80225
USA
1-888-275-8747
sciencebase@usgs.gov
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data for other purposes, nor on all computer systems, nor shall the act of distribution constitute any such warranty. Not for navigational use. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
20220502
Josh Woda
The United States Geologic Survey
Hydrologist
mailing and physical
425 Jordan Road
Troy
New York
12180
The United States
518-285-5606
jwoda@USGS.gov
Content Standard for Digital Geospatial Metadata
FGDC-STD-001-1998