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Université de Tokyo

Estimation of Available Freshwater Resources in Cold and Semi Arid Area by a Land Surface Model

Nasiri Saleh Farzin

Titre : Estimation of Available Freshwater Resources in Cold and Semi Arid Area by a Land Surface Model

Auteur : Nasiri Saleh Farzin

Université de soutenance : Université de Tokyo

Grade : Doctor of Philosophy (PhD)

Résumé
Water is a basic necessity for sustaining life and development of society. Proper management, protection and exploitation of the water resources is a challenge imposed by population growth, increasing pressure on water and land resources by competing usage, and reduction of scarce water resources in many parts of the world especially in arid and semi arid areas. The effectual management of water resources needs hydrological components. These components are usually hard to obtain directly from observation and then they must be simulated. The land surface as a key component of climate and hydrological processes controls the partitioning of available energy at the surface between sensible and latent heat, and the partitioning of available water between evaporation and runoff. A number of Land Surface Models (LSMs) have been established and developed for simulating land surface process and estimating hydrological components. These models include radiation transfer, evaporation, transpiration, snow, runoff, and so on considering the effects of vegetation, and solve the energy and water exchange between land and atmosphere as the vertical one-dimensional processes. This research has aimed to estimate available freshwater resources in cold and semi arid area by a land surface model. MATSIRO (Minimal Advanced Treatments of Surface Interaction and Runoff) land surface model has been used in this study. To achieve the main objective, there were some sub-objectives such as evaluation of applicability of downscaled global data set in regional scale with low density of meteorological stations ; providing distributed forcing data including precipitation, air temperature, wind speed, surface pressure, cloud coverage, long and short wave radiation, and specific humidity via limited regional observed data ; detecting effective physical process on the simulation ; and identifying effective parameters of the land surface model on simulation improvement

Annonce (IranDoc)

Résumé étendu

Page publiée le 16 janvier 2018