首页|A scenario-based coupled SWAT-MODFLOW decision support system for advanced water resource management

A scenario-based coupled SWAT-MODFLOW decision support system for advanced water resource management

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  • NETL
  • NSTL
  • Iwa Publishing
Models provide invaluable visions to decision-makers for basin-scale management of water resources. However, decision-makers have difficulties in directly using these complex models, water managers are primarily interested in user-friendly features allowing an integration of their judgments into the decision-making process, rather than applying detailed theories and methodologies. This knowledge gap between technical simulation models and policy-makers highlights the urgent need for developing an integrated water resource management decision support system (IWRM-DSS). This paper describes the main aspects of a new IWRM-DSS in which Microsoft Visual Studio under the C# language was employed to integrate the Microsoft SQL server as a database and ArcGIS Engine DLLs for pre/postdata processing for the SWAT and MODFLOW models. Two particular 'module' and 'presentation' shells are specifically designed for decision-makers to create four different scenarios, namely, 'climatic', 'recharge', 'discharge', and 'coupled' and to analyze the results. Decision-makers, without any detailed modeling knowledge and computer skills, can access the data and run models to test different management scenarios in an attractive graphical user interface. The IWRM-DSS, which was applied for the Neishaboor watershed, Iran, reveals that mean annual potential evapotranspiration increased to 8.2%, while runoff and recharge rates are reduced to 35 and 63%, which led to a decline of 13.5 m in mean groundwater level for the 13-year projected period.

Key words: decision support systemintegrated water resource managementmanagement scenariosMODFLOWstakeholder engagementswat

A. Izady、A. Joodavi、M. Ansarian、M. Shafiei、M. Majidi、K. Davary、A. N. Ziaei、H. Ansari、M. R. Nikoo、A. Al-Maktoumi、M. Chen、O. Abdalla

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Water Research Center, Sultan Qaboos University, Muscat, Oman

Department of Water Engineering, Kashmar Higher Education Institute, Kashmar, Iran

Sepas-rayaneh Software Development Company, Mashhad, Iran

Department of Hydroinformatics, East Water and Environmental Research Institute (EWERI), Mashhad, Iran

Water Engineering Department, College of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran

Department of Civil and Architectural Engineering, Sultan Qaboos University, Muscat, Oman

Water Research Center, Sultan Qaboos University, Muscat, Oman, Soils, Water and Agricultural Engineering Department, Sultan Qaboos University, Muscat, Oman

Earth Science Department, College of Science, Sultan Qaboos University, Muscat, Oman

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2022

10.2166/hydro.2021.081

Journal of hydroinformatics

Journal of hydroinformatics

SCI
ISSN：1464-7141
年,卷(期)：2022.24(1/3)
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  • 57