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Hillsdale Lake (Kansas) Source Assessment of Sediment and Phosphorus Water Quality Impairments
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org
Citation: Paper number 022074, 2002 ASAE Annual Meeting . (doi: 10.13031/2013.10394) @2002
Authors: Philip L. Barnes
Keywords: nonpoint, monitoring, models
The U. S. Army Corps of Engineers completed Hillsdale Reservoir (Kansas) in 1981. This
facility captures runoff from an area, 373 km2. Principal watersheds that contribute runoff to the reservoir
include Big Bull Creek, Little Bull Creek, Rock Creek, and Wade Branch. The predominate land use in these
watersheds is agriculture, with about 40 percent of the land used for cultivated row crops. About 20 percent of
the area is wooded. The remainder of the land is used as pastures as well as urban and residential uses.
Several point sources of phosphorus (P) discharge are located within the Hillsdale watershed and
include wastewater-treatment facilities at Gardner, Edgerton, and the Johnson County New Century AirCenter
and wastewater lagoons at Connestoga Mobile Home Park and Lone Elm Estates. Additional phosphorus and
sediments are added to the reservoir through nonpoint sources, which include soils lost from rural roads and
stream banks, septic systems related to the rural development, feedlots, and cropland. The reservoir is used
for flood control, water supply, fish and wildlife habitat, and recreation. With the rapid urban development in
southern Johnson County, the use of the lake as a water-supply reservoir with drinking quality water becomes
more important.
Watershed water quality will describe the estimated non-point and point source loading for the Hillsdale
watershed. This data was collected using the AnnAGNPS (Annualized Agricultural Nonpoint Source
Pollution) model developed by a cooperative effort between the U.S. Department of Agriculture (USDA-ARS)
and the Natural Resources Conservation Service (NRCS). Best management practices tested with AGNPS
have been implemented in the watershed. Comparisons between these implemented practices and modeled
results will be demonstrated.
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