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Research Project: Computational Methods for Integrated Modeling of Natural Resources Processes at Field and Watershed Scales

Location: Watershed Physical Processes Research

Project Number: 6060-13000-026-17-S
Project Type: Non-Assistance Cooperative Agreement

Start Date: Sep 1, 2015
End Date: Aug 31, 2020

Provide ongoing support in the development and maintenance of modeling tools for conservation planning at multiple spatial scales.

1. Support of RUSLE2 software: a) Modify RUSLE2 software to implement improvements of its soil erosion prediction technology. b) Enhance and modify RUSLE2 software to support web-based applications for soil erosion prediction, including the use of remote databases and applications in cloud-based distributed computing environments. c) Contribute to extend the applicability of RUSLE2 technologies for prediction of runoff, soil erosion from field to watershed scales, including the integration of RUSLE2 with watershed and channel modeling systems, such as AnnAGNPS, CCHE1D, and CONCEPTS. d) Ongoing support and maintenance of RUSLE2 desktop software, including bug fixes and source code documentation. 2. Develop methods and software for integration of existing modeling systems for prediction of runoff, soil erosion, and water quality parameters at multiple scales: a) Define and test terrain analysis algorithms for determination of drainage patterns and watershed segmentation, including automated definition of basins, hillslopes, gully channels and streams. b) Develop methods for automated determination of modeling inputs from existing GIS layers and databases. c) Develop and implement methods for determining land use, crop yields and/or agricultural management practices from remote sensing data layers and databases. 3. Develop methods for high-performance computing of physical processes in agricultural fields and watersheds: a) Develop optimized programs employing the RUSLE2 Dynamic-Link Library (DLL) in parallel and distributed computing (“cloud”) environments. b) Continue the development of a web-based gateway for modeling of natural resources processes at multiple spatial scales. c) Develop methods and software to make use of on-line national databases of soils, terrain elevation, land use, and agricultural practices and statistics. d) Support the configuration and maintenance of computer servers for web-based modeling.