Volume 24, Issue 3 (Fall 2020)                   JWSS 2020, 24(3): 191-207 | Back to browse issues page


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Alizadeh H, Hoseini A, Soltani M. Simulating and Optimizing the Conjunctive Use of Surface and Groundwater Resources Using the System Dynamics Approach (A Case Study: Dashte-Abbas Irrigation Network). JWSS. 2020; 24 (3) :191-207
URL: http://jstnar.iut.ac.ir/article-1-3953-en.html
1. Water Engineering Department, Faculty of Agriculture, Ilam University, Ilam, Iran. , h.alizadeh@ilam.ac.ir
Abstract:   (1032 Views)
The construction of irrigation network and the water transfer from Karkheh Dam to Dashte-Abbas, due to neglecting the groundwater resources has increased groundwater level and waterlogging of the agricultural land in the recent years. The aim of this study was, therefore, to optimize the conjunctive use of surface and groundwater resources in Dashte-Abbas to minimize waterlogging problems and achieve the maximum net income. For this purpose, the behavior of groundwater was simulated using the system dynamics (SD) approach. The conjunctive use of surface and groundwater resources was then optimized using the Vensim multi-criteria optimization method with the objective function of maximizing the net income of the plain. The SD model calibration was done using climatic, hydrological, agricultural, and environmental data from the 2001-2009 time period; then it was validated based on the information from the 2009-2016 period. Evaluation of the developed SD model showed that the model had high accuracy in simulating key variables such as groundwater levels (ME=60cm, R2=97%, RMSE=47cm) and groundwater salinity (RMSE=100μS/cm, R2=74%, and ME=123μS/cm). Furthermore, the results of the optimization model showed that the optimum use of surface and groundwater resources for the agricultural demand was 65% and 35%, respectively. To sum up, it could be concluded that with the optimization of the conjunctive use of surface and groundwater resource, s about 10 MCM of water consumption could be annually saved to irrigate almost 800 ha of the new lands.
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Type of Study: Research | Subject: Ggeneral
Received: 2019/11/23 | Accepted: 2020/03/5 | Published: 2020/11/30

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