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Using Hydraulogical Model and Energy Balance in Estimating Groundwater Table, Case Study: Varamin Plain

Khakbazan Fard, Faezeh | 2010

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 40457 (09)
  4. University: Sharif University of Technology
  5. Department: Civil Engineering
  6. Advisor(s): Tajrishi, Masoud
  7. Abstract:
  8. Each country needs water for growing and developing. Water is necessary not only for expansion of cities and industries but also for agricultural development. Agriculture alone uses more than 90 percent of available water in our country. Water limitation and improper and noneconomic use of water are the main factors that limit agricultural development and food production in Iran. So taking appropriate decisions on this issue is necessary to optimize water use. Continuous assessment of water use at different levels in the basin, field and irrigation network is necessary for determining the current status and knowing its strengths and weaknesses and finding practical solutions to improve all these conditions. Improved conditions and improved management of water resources requires the use of existing hydrological model to determine the status of water resources. On the other hand using hydrological model requires a lot of field data that sometimes in many areas are not available, or are not compatible with development that is created in these areas. Satellite images are appropriate tools to provide required data with the lowest cost for us that are compatible with improved areas. Therefore the integration of hydrological models and remote sensing techniques can cause better results with highest compliance with real conditions. In this study groundwater model of Varamin plain is produced by integrating remote sensing techniques ( Energy Balance Algorithm, SUTSEBAL) for estimating agricultural water use and MODFLOW. The results show that the model can be used for assessing the effects of management decisions and changing different parameters on the groundwater table
  9. Keywords:
  10. Hydrologic Model ; MODFLOW Model ; SUTSEBAL Algorithm ; Varamin Plain

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