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ARS Home » Southeast Area » Oxford, Mississippi » National Sedimentation Laboratory » Watershed Physical Processes Research » Research » Publications at this Location » Publication #394581
Research Project: Computational Tools and a Decision Support System for Management of Sediment and Water Quality in Agricultural Watersheds

Location: Watershed Physical Processes Research

Title: An efficient way of integrating watershed boundary dataset (WBD) into web-based agricultural integrated management system (AIMS)

Author
item SAHIN, NAZIM - University Of Mississippi
item OZEREN, YAVUZ - University Of Mississippi

Submitted to: Mississippi Water Resources Research Conference Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: 2/11/2022
Publication Date: 4/13/2022
Citation: Sahin, N., Ozeren, Y. 2022. An efficient way of integrating watershed boundary dataset (WBD) into web-based agricultural integrated management System (AIMS). Mississippi Water Resources Research Conference Proceedings. 2022.

Interpretive Summary:

Technical Abstract: Agricultural Integrated Management System (AIMS) is a web-based tool developed by The National Center for Computational Hydroscience and Engineering (NCCHE) University of Mississippi, and USDA-ARS National Sedimentation Laboratory, for watershed conservation management planning. AIMS is intended to provide a user-friendly environment for data analysis and watershed modeling with automated input data preparation capabilities from seamless geospatial data for any watershed in the United States. Watershed Boundary Dataset (WBD) is used to define the simulation boundaries of AIMS models including the topographic landscape analysis tool TopAGNPS. One of the advancements of the new AIMS environment is GeoJSON data format to represent geospatial features, which required conversion of WBD hydrologic unit boundaries into GeoJSON data format, and re-establishment of the hydrologic unit hierarchy. The conversion enables inter-operation between backend Python and Java modules, and the watershed simulation models running under AIMS, including TopAGNPS, for locally transferring remote or saved structured data independently from the map servers. This allows importing the geospatial data as an object with its hierarchy for backend operations without requiring additional parsing or server-side operations (authentication, data transfer, etc.). This method also increases the stability, security, and speed of the system and decreases the dependency of it on the external resources. The key features of the new AIMS platform including the updated WBD will be presented.