Development of a Prototype Web-Based Decision Support System for Watershed Management

Authors

  • Dejian Zhang College of Geographic Sciences, Fujian Normal University, Fuzhou-350007, China.
  • Xingwei Chen College of Geographic Sciences, Fujian Normal University, Fuzhou-350007, China and Cultivation Base of State Key Laboratory of Humid Subtropical Mountain Ecology, Fujian Normal University, Fuzhou-350007, China.
  • Huaxia Yao College of Geographic Sciences, Fujian Normal University, Fuzhou-350007, China.

DOI:

https://doi.org/10.9734/bpi/mono/978-81-19217-01-4/CH6

Keywords:

Cloud computing, Soil and Water Assessment Tool (SWAT), Web-based Geographical Information Systems (Web GIS), Decision Support System for Watershed Management (DSS-WMRJ), Best Management Practice (BMP)

Abstract

Using distributed hydrological models to evaluate the effectiveness of reducing non-point source pollution by applying best management practices (BMPs) is an important support to decision making for watershed management. However, complex interfaces and time-consuming simulations of the models have largely hindered the applications of these models. We designed and developed a prototype web-based decision support system for watershed management (DSS-WMRJ), which is user friendly and supports quasi-real-time decision making. DSS-WMRJ is based on integrating an open-source Web-based Geographical Information Systems (Web GIS) tool (Geoserver), a modeling component (SWAT, Soil and Water Assessment Tool), a cloud computing platform (Hadoop) and other open source components and libraries. In addition, a private cloud is used in an innovative manner to parallelize model simulations, which are time consuming and computationally costly. Then, the prototype DSS-WMRJ was tested with a case study. Successful implementation and testing of the prototype DSS-WMRJ lay a good foundation to develop DSS-WMRJ into a fully-fledged tool for watershed management. DSS-WMRJ can be easily customized for use in other watersheds and is valuable for constructing other environmental decision support systems, because of its performance, flexibility, scalability and economy.

Published

2023-04-21

How to Cite

Dejian Zhang, Xingwei Chen, & Huaxia Yao. (2023). Development of a Prototype Web-Based Decision Support System for Watershed Management. Collective Studies on Evapotranspiration, Drought Propagation, Catchment Modelling, and Changes in Ice Snow and Forest, 113–127. https://doi.org/10.9734/bpi/mono/978-81-19217-01-4/CH6