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Open-File Report 2014–1231

Prepared in cooperation with Park County, Colorado

Monitoring-Well Installation, Slug Testing, and Groundwater Quality for Selected Sites in South Park, Park County, Colorado, 2013

By L.R. Arnold

Thumbnail of and link to report PDF (8.36 MB)Abstract

During May–June, 2013, the U.S. Geological Survey, in cooperation with Park County, Colorado, drilled and installed four groundwater monitoring wells in areas identified as needing new wells to provide adequate spatial coverage for monitoring water quality in the South Park basin. Lithologic logs and well-construction reports were prepared for each well, and wells were developed after drilling to remove mud and foreign material to provide for good hydraulic connection between the well and aquifer. Slug tests were performed to estimate hydraulic-conductivity values for aquifer materials in the screened interval of each well, and groundwater samples were collected from each well for analysis of major inorganic constituents, trace metals, nutrients, dissolved organic carbon, volatile organic compounds, ethane, methane, and radon. Documentation of lithologic logs, well construction, well development, slug testing, and groundwater sampling are presented in this report.

First posted January 8, 2015

For additional information, contact:
Director, Colorado Water Science Center
U.S. Geological Survey
Box 25046, Mail Stop 415
Denver Federal Center
Denver, CO 80225-0046
http://co.water.usgs.gov/

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Suggested citation:

Arnold, L.R., 2015, Monitoring-well installation, slug testing, and groundwater quality for selected sites in South Park, Park County, Colorado, 2013: U.S. Geological Survey Open-File Report 2014–1231, 32 p., https://dx.doi.org/10.3133/ofr20141231.

ISSN 2331–1258 (online)



Contents

Abstract

Introduction

Monitoring-Well Installation

Slug Testing

Groundwater Quality

Summary

Acknowledgments

References Cited

Appendix 1.Lithologic Logs

Appendix 2.Well-Construction Diagrams

Appendix 3.Well-Development Records

Appendix 4.Water-Quality Control Data


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