has developed a sophisticated computer model of the watershed coupling
information regarding land use, topography, soils, and weather history
with current water monitoring data. The result is a model capable of
estimating expected soil and nutrient losses from an actual rainstorm
as well as predicting losses for the coming year in specific parts of
the watershed. This AnnAGNPS (Annualized
Agricultural Non-Point Source) model helps the CLW board
direct their educational efforts and funding to the most effective practices
and the most vulnerable parts of the watershed.
Geographic Information Systems (GIS) Interface for AnnAGNPS utilizes
completed layers of geospatial data and a database to populate the AnnAGNPS
model input file requirements.
CLW in cooperation with Kansas State University developed a process
of using Landsat Infrared Imagery to determine not only landuse types,
but also specific cropland types, rotations within cropland from year
to year, and biomass amounts on cropland and rangeland. This data is used in the field operations portion of the GIS/AnnAGNPS interface.
GIS/AnnAGNPS interface will do source accounting for soil movement and
loads of nutrients and pesticides within subwatersheds. The CLW will
have the ability to use the source accounting data to more accurately
address the water quality issues within Cheney Lake and the watershed.
Educational efforts and funding for voluntary adoption of improved management
practices will be concentrated in the most vulnerable parts of the watershed.