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A Probabilistic Framework for Water Budget Estimation Using Remotely Sensed Data

Ahmadi, Narges | 2022

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 55163 (09)
  4. University: Sharif University of Technolog
  5. Department: Civil Engineering
  6. Advisor(s): Ataie Ashtiani, Behzad
  7. Abstract:
  8. Having information about the amount of water storage is essential to estimate the amount of water available for use in agriculture, industrial, etc. The purpose of this study is to propose a method for estimating the water budget in large-scale basins using remote sensing data. Using ground-based measurements to obtain water budget components is a challenging issue. This may be due to the limited access to in-site data in temporal and spatial resolution, especially in large scale basins. In recent years, with the increasing growth of satellite data, the application of remotely sensed data to estimate changes in water storage is increasing. In this study, due to the limitation of access to ground-based data, obtaining the components of the water balance equation has been proposed by using remote sensing data to investigate the extent of changes in water storage. Owing to the arid and semi-arid climate and the importance of the central region of Iran in terms of population and size, the Central Basin of Iran has been selected. Utilizing the remotely sensed data and the hydrology model data, the Global Land Data Assimilation System (GLDAS), provides a way to estimate the changes of groundwater storage in this basin.To measure the accuracy of water storage changes estimation; precipitation data, evapotranspiration and groundwater storage changes; are obtained and calculated from remote sensing datasets. Using different satellite products with various temporal and spatial resolutions can lead to uncertainty in estimation of water storage. In this research, in order to validate the estimation of water storage changes and dependence of this estimation on water balance components, an innovative application of the First-Order Reliability method is proposed. In this method, it is also possible to investigate the sensitivity of the water balance equation to effective parameters involved in the water budget equation.
  9. Keywords:
  10. Remote Sensing ; Water Balance ; Global Land Data Assimilation System (GLDAS) ; GRASE Satellite ; Iran Central Basin ; First Order Reliability Method (FORM)

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