TY - JOUR
T1 - A scenario-based coupled SWAT-MODFLOW decision support system for advanced water resource management
AU - Izady, A.
AU - Joodavi, A.
AU - Ansarian, M.
AU - Shafiei, M.
AU - Majidi, M.
AU - Davary, K.
AU - Ziaei, A. N.
AU - Ansari, H.
AU - Nikoo, M. R.
AU - Al-Maktoumi, A.
AU - Chen, Mingjie
AU - Abdalla, O.
N1 - Funding Information:
The authors acknowledge the HydroTech Toos Consulting Engineers Company, Mashhad, Iran for the financial support under grant number #40202005 and the Khorasan Razavi Regional Water Authority (KRRWA), Mashhad, Iran for providing the data and information. The contributions of Azizallah Izady were supported by the Sultan Qaboos University under grant number #IG/DVC/WRC/20/01. The authors also extend appreciation to the research group DR/RG/17.
Publisher Copyright:
© 2022 The Authors
PY - 2022/1/1
Y1 - 2022/1/1
N2 - 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.
AB - 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.
KW - Decision support system
KW - Integrated water resource management
KW - MODFLOW
KW - Management scenarios
KW - SWAT
KW - Stakeholder engagement
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U2 - 10.2166/HYDRO.2021.081
DO - 10.2166/HYDRO.2021.081
M3 - Article
AN - SCOPUS:85124840901
SN - 1464-7141
VL - 24
SP - 56
EP - 77
JO - Journal of Hydroinformatics
JF - Journal of Hydroinformatics
IS - 1
ER -