Data Sources and Methods for Digital Mapping of Eight Valley-Fill Aquifer Systems in Upstate New York
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- Document: Report (4.36 MB pdf) , HTML , XML
- Related Works:
- Scientific Investigations Report 2021–5083 - Areas Contributing Recharge to Selected Production Wells in Unconfined and Confined Glacial Valley-Fill Aquifers in Chenango River Basin, New York
- Scientific Investigations Report 2021–5112 - Areas Contributing Recharge to Priority Wells in Valley-fill Aquifers in the Neversink River and Rondout Creek Drainage Basins, New York
- Data Release: USGS data release - Interpolated hydrogeologic framework and digitized datasets for upstate New York study areas
- Download citation as: RIS | Dublin Core
Abstract
Digital hydrogeologic maps were developed in eight study areas in upstate New York by the U.S. Geological Survey in cooperation with the New York State Department of Environmental Conservation. The digital maps define the hydrogeologic framework of the valley-fill aquifers and surrounding till-covered uplands in the vicinity of the villages of Ellenville and Wurtsboro and hamlets of Woodbourne and South Fallsburg in Sullivan and Ulster Counties, town of Greene in Chenango County, city of Cortland and town of Cincinnatus in Cortland County, city of Jamestown in Chautauqua County, city of Olean and village of Ellicottville in Cattaraugus County, and villages of Fishkill and Wappinger Falls in Dutchess County. The hydrogeologic framework provided the foundation for groundwater-flow models that were used in the delineation of areas contributing groundwater flow to production wells screened in four of the eight valley-fill aquifers considered in this study. The hydrogeologic framework for the other four study areas was developed for potential future use in groundwater contributing-area studies.
Data used in the creation of all digital surfaces and thicknesses included published surficial geology; aquifer maps and hydrogeologic sections; light detection and ranging (lidar) datasets; the Soil Survey Geographic Database; and lithologic well logs from the National Water Information System, New York State Department of Environmental Conservation, New York State Department of Transportation, and Empire State Organized Geologic Information System databases. Digital maps of the surficial geology; thickness of the surficial sand and gravel aquifers; and tops of the confining lacustrine silt and clay units, confined sand and gravel aquifers, and bedrock surfaces were created by using ArcGIS (a geographic information system). All surfaces and thicknesses were generated by using one of the following ArcGIS interpolation tools: Topo to Raster, Natural Neighbors, Kriging, or Empirical Bayesian Kriging. The datasets developed in this study provide a greater understanding of the underlying hydrogeologic framework in glacial valley-fill aquifers and can be applied in the evaluation of groundwater-supply development and protection.
Suggested Citation
Finkelstein, J.S., Woda, J.C., and Williams, J.H., 2022, Data sources and methods for digital mapping of eight valley-fill aquifer systems in upstate New York: U.S. Geological Survey Scientific Investigations Report 2022–5024, 21 p., https://doi.org/10.3133/sir20225024.
ISSN: 2328-0328 (online)
Study Area
Table of Contents
- Abstract
- Introduction
- Description of Study Areas
- Data Sources
- Methods
- Limitations, Postprocessing, and Use of Data
- Summary
- References Cited
Publication type | Report |
---|---|
Publication Subtype | USGS Numbered Series |
Title | Data sources and methods for digital mapping of eight valley-fill aquifer systems in upstate New York |
Series title | Scientific Investigations Report |
Series number | 2022-5024 |
DOI | 10.3133/sir20225024 |
Year Published | 2022 |
Language | English |
Publisher | U.S. Geological Survey |
Publisher location | Reston, VA |
Contributing office(s) | New York Water Science Center |
Description | Report: v, 21 p.; Data Release |
Country | United States |
State | New York |
Online Only (Y/N) | Y |
Additional Online Files (Y/N) | Y |
Google Analytic Metrics | Metrics page |