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    Estimation of Rainfall Values by using Soil Moisture as a Natural Measurment with SM2RAIN Algorithm (Case study: Orumia lake Catchment)

    , M.Sc. Thesis Sharif University of Technology Fereydooni, Mehdi (Author) ; Tajrishy, Masoud (Supervisor)
    Abstract
    The direct impact of rainfall in human life and its fundamental role in water resources management cause the development of methods and algorithms to estimate the rainfall among the researchers. In the past decades the traditional methods were used to measure the amount of rainfall until the advent of Meteorological Satellites has sparked a revolution in this field. Significant temporal and spatial changes of rainfall and the small number of the synoptic stations caused negative impact on the actual distribution of the amount of rainfall in a vast area. The rainfall satellite data were somewhat overcome by existing deficiencies in Synoptic methods by providing a better rainfall distribution... 

    Estimation of the Total Water Entering the Soil (Precipitation and Irrigation) Using in Situ and Satellite Soil Moisture Data

    , Ph.D. Dissertation Sharif University of Technology Jalilvand, Ehsan (Author) ; Tajrishy, Masoud (Supervisor) ; Brocca, Luca (Supervisor)
    Abstract
    Precipitation is the most important term in the world water balance and irrigation is the major consumer of fresh water resources. However, most of the precipitation products are unable to accurately estimate the amount of water that is reaching the ground. Moreover limited information are available in terms of irrigated area and irrigation water use (IWU) at the global scale. On the other hand the confounding effect of the climate change and the world population growth has accelerated the decline in the world fresh water resources. Thereby, the precise estimates of these two parameters (i.e. Precipitation and irrigation) is essential for food and water security. In this study the soil water...