About the Conewago Watershed IT Platform
The objective of the Conewago Watershed IT Platform is to encourage and facilitate role-based stakeholder participation in watershed restoration from government, university, industry, and the public. The platform is to serve as a data acquisition, analysis, integration, interpretation, decision making, and dissemination tool.
A detailed list of inputs will be displayed during the presentation, and hard copies will be made available upon request.
The tool provides a spatial display of input data ranging from SSURGO soil survey areas, conservation district surveys, and macro invertebrate stream assessments from DEP. The tool also provides simulated output from GWLF and PRedICT and analysis of that output coupled with various soil, weather, and management practices in order to show areas of risk (vulnerability, impairment, and resilience).
Potential users of the tool are researchers interested in applying models through a platform using standardized data, NRCS and/or conservation districts interested in applying BMP's in targeted areas designed to achieve the most value for money spent on conservation, and policy makers who wish to have a full picture, or story, of information based on sound science on which to make decisions. Usage is limited to professionals who use information in existing programs or interpret information for the public.
Scales of Relevance
Currently most facets of the modeling are at a watershed or sub-watershed scale. The modeling effort is scalable from resolutions as small as 10.0 m to as large as a basin scale. Resolution depends on the availability of data sets and understanding of physical processes at each scale. Data scales range from field scale for practices to sub field scale for soil and weather data. Time scales are daily and can be aggregated to monthly or yearly.
The level of participation and partnership (both with universities/government organizations and non-government organizations/general public) as well as the quality and granularity of the data are directly proportional to the value of the tool for conservation purposes.