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Groundwater Modelling with the Use of Remote Sensing Technology to Assess the Impact of Changes in Aquifer Conditions on Surface Flow (Case Study: Miandoab plain-Urmia Basin)

Hamzekhani, Hamed | 2015

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 48130 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Agha Mohammad Hossein Tajrishi, Massoud
  7. Abstract:
  8. Groundwater resources are considered as important resources of fresh water specifically in arid and semi-arid regions like Iran. Urmia Lake (UL) basin is one of these regions where groundwater resources play an important role in supplying water and due to inappropriate water resources management during the last two decades it has faced serious problems, like declination of water level in UL. Groundwater and surface water form an integrated system in the UL basin and have a mutual effect on each other. Hence, any improvement in exploitation of aquifers in that region could benefit UL water demand management. Appropriate water resources management in Miandoab plain which transfer almost 50 percent of all surface water inflow to UL is very crucial for Lake recovery. About 30 percent of agricultural water use in this plain is supplied by Miandoab aquifer and the rest is supplied by Zarinehrood irrigation network. Water resources management requires good understanding of the water cycle component interrelationship. Therefore, it is essential to understand the mutual effects of these components in detail. The main purpose of this study is to evaluate how groundwater resource management in Miandoab plain could improve surface water condition, with no major impact on agriculture sector in the region. Groundwater flow is influenced by several processes and hydrological factors, from which, recharge is of high relevance. The Methodology used in this study is modeling of groundwater system with the use of remote sensing data. In intensive agricultural regions like Miandoab plain, groundwater recharge is highly influenced by agricultural water use. Therefore, SEBAL algorithm was used to estimate the crop water use. As an overall conclusion, application of remote sensing data contributes greatly to groundwater modeling and could improve model precision. Results of the model in terms of water table level shows that the rate of evaporation is very high and performing different scenarios indicated that reducing the discharge water in the irrigation net or constructing drainage systems could mitigate the high evaporation rates from the aquifer
  9. Keywords:
  10. Remote Sensing ; MODFLOW Model ; Water Resources ; Groundwater ; Water Resources Management ; Groundwater Recharge ; Surface Energy Balance Algoritm for Land (SEBAL) ; Miandoab Plain

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