Date Available

5-24-2013

Year of Publication

2013

Document Type

Master's Thesis

Degree Name

Master of Science in Biosystems and Agricultural Engineering (MSBiosyAgE)

College

Agriculture; Engineering

Department/School/Program

Biosystems and Agricultural Engineering

Faculty

Dr. Carmen T. Agouridis

Faculty

Dr. Dwayne R. Edwards

Abstract

Human activity such as surface mining can have substantial impacts on the natural environment. Performing a Cumulative Hydrologic Impact Assessment (CHIA) of such impacts on surface water systems requires knowing the location and extent of these impacted streams. The Jurisdictional Determination (JD) of a stream’s protected status under the Clean Water Act (CWA) involves locating and classifying streams according to their flow regime: ephemeral, intermittent, or perennial. Due to their often remote locations and small size, taking a field inventory of headwater streams for surface mining permit applications or permit reviews is challenging. A means of estimating headwater stream location and extent, according to flow regime using publicly available spatial data, would assist in performing CHIAs and JDs. Using headwater point-of-origin data collected from Robinson Forest in eastern Kentucky along with data from three JDs obtained via a Freedom of Information Act (FOIA) request to the U.S. Army Corps of Engineers (USACE), headwater streams in the Appalachian Coal Belt were characterized according to a set of spatial parameters. These characteristics were extrapolated using GIS to delineate headwater streams over a larger area, and the results were compared to the National Hydrography Dataset (NHD).

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