Water Stress Mitigation in the Vit River Basin Based on WEAP and MatLab Simulation

Decision Support System (DSS) Matlab Mitigation Measures Optimization Water Resources Management Water Stress WEAP.

Authors

  • Emil Tsanov
    e.tsanov@mail.bg
    Civil Engineering and Geodezy, University of Architecture, 1 Hr. Smirnenski Blvd, 1046 Sofia,, Bulgaria
  • Irina Ribarova Civil Engineering and Geodezy, University of Architecture, 1 Hr. Smirnenski Blvd, 1046 Sofia,, Bulgaria
  • Galina Dimova Civil Engineering and Geodezy, University of Architecture, 1 Hr. Smirnenski Blvd, 1046 Sofia,, Bulgaria
  • Plamen Ninov Bulgarian Academy of Sciences, National Institute of Meteorology and Hydrology, Sofia,, Bulgaria
  • Maggie Kossida National Technical University of Athens, Department of Water Resources and Environmental Engineering, Athens,, Greece
  • Christos Makropoulos National Technical University of Athens, Department of Water Resources and Environmental Engineering, Athens,, Greece

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The presented study aims at the development of an approach, which will enable selection of optimal measures for mitigation of water stress. The approach is based on two software pillars – Water Evaluation and Planning System (WEAP) and MatLab, which are applied in combination. The approach has three main steps: 1) modeling of the river basin with WEAP software 2) selecting mitigation measures and preparation of intervention curves and 3) running of an optimization using MatLab to select the mitigation measures. The set of the applied mitigation measures includes: reducing urban water demand and supply, reducing water demand for irrigation, and rehabilitation of the irrigation system. The result of the performed optimization with objectives set as minimal investment and water abstraction shows that in the Vit River basin the best combination of mitigation measures are a change in irrigation practice as well as reducing leakage in the irrigation distribution network and in the municipal distribution network. The optimization results show that 36% of the abstracted water could be saved if 2.1 million EUR were invested. The approach which was developed and applied in this work proved its suitability for facilitating decision making for water stress management at a river basin level.

 

Doi: 10.28991/cej-2020-03091602

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