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...

Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region

, Article Remote Sensing of Environment ; Volume 231 , 2019 ; 00344257 (ISSN) Jalilvand, E ; Tajrishy, M ; Ghazi Zadeh Hashemi, S. A ; Brocca, L ; Sharif University of Technology

Elsevier Inc 2019

Abstract

Irrigated agriculture is the principal consumer of fresh water resources. Most countries do not have a precise measurement of water consumption for irrigation. In this study, an innovative approach is proposed that allows for estimation of irrigation water use at the catchment scale based on satellite soil moisture data. To this end, the SM2RAIN algorithm, which had been originally developed for estimation of rainfall from the soil moisture observations, is adopted. The satellite soil moisture observations obtained from Advanced Microwave Scanning Radiometer 2 (AMSR2) along with different rainfall and evapotranspiration (ET) products in the period 2012–2015 are used as the input to the...

Estimating the drainage rate from surface soil moisture drydowns: application of DfD model to in situ soil moisture data

, Article Journal of Hydrology ; Volume 565 , 2018 , Pages 489-501 ; 00221694 (ISSN) Jalilvand, E ; Tajrishy, M ; Brocca, L ; Massari, C ; Ghazi Zadeh Hashemi, S ; Ciabatta, L ; Sharif University of Technology

2018

Abstract

The large heterogeneity in soil surface conditions makes it impracticable to obtain reliable estimates of soil hydraulic parameters for areas larger than few squared kilometers. However, identifying these parameters on a global scale is essential for many hydrological and climatic applications. In this study, a new approach named Drainage from Drydown (DfD) is proposed to estimate the coefficients of drainage using soil moisture observations. DfD firstly selects multiple drydown events when surface runoff and evapotranspiration rates are negligible compared to the drainage rate. Secondly, by inverting the soil water balance equation, the drainage coefficients are obtained. Synthetic...