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, M.
AU - Abdalla, O.
N1 - Publisher Copyright:
© 2022 The Authors
PY - 2021/10/26
Y1 - 2021/10/26
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 -