Title : ( A scenario-based coupled SWAT-MODFLOW decision support system for advanced water resource management )
Authors: A. Izady , A. Joodavi , M. Ansarian , M. Shafiei , M. Majidi , Kamran Davary , Ali Naghi Ziaei , Hossein Ansari , M. R. Nikoo , A. Al-Maktoumi , M. Chen , O. Abdalla ,Abstract
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.
Keywords
, decision support system, integrated water resource management, management scenarios, MODFLOW, stakeholder engagement, SWAT@article{paperid:1087211,
author = {A. Izady and A. Joodavi and M. Ansarian and M. Shafiei and M. Majidi and Davary, Kamran and Ziaei, Ali Naghi and Ansari, Hossein and M. R. Nikoo and A. Al-Maktoumi and M. Chen and O. Abdalla},
title = {A scenario-based coupled SWAT-MODFLOW decision support system for advanced water resource management},
journal = {Journal of Hydroinformatics},
year = {2022},
volume = {24},
number = {1},
month = {January},
issn = {1464-7141},
pages = {56--77},
numpages = {21},
keywords = {decision support system; integrated water resource management; management scenarios; MODFLOW; stakeholder engagement; SWAT},
}
%0 Journal Article
%T A scenario-based coupled SWAT-MODFLOW decision support system for advanced water resource management
%A A. Izady
%A A. Joodavi
%A M. Ansarian
%A M. Shafiei
%A M. Majidi
%A Davary, Kamran
%A Ziaei, Ali Naghi
%A Ansari, Hossein
%A M. R. Nikoo
%A A. Al-Maktoumi
%A M. Chen
%A O. Abdalla
%J Journal of Hydroinformatics
%@ 1464-7141
%D 2022