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International Institute for Geo-Information Science and Earth Observation (ITC) 2017

Estimate hourly and daily evapotranspiration using remote sensing technology for Haihe River basin

Zhao, Jing

Titre : Estimate hourly and daily evapotranspiration using remote sensing technology for Haihe River basin.

Auteur : Zhao, Jing.

Etablissement de soutenance : University of Twente International Institute for Geo-Information Science and Earth Observation (ITC)

Grade : Master of Science in Geo-Information Science and Earth Observation 2017

Résumé
Evapotranspiration (ET) is one of the key variables in hydrological cycle , it is a term used to describe the combined loss of water due to evaporation from soil surfaces and transpiration from plants. Therefore, the research of evapotranspiration has a great significance for understanding climate change and the impacts of climate change on water resource management . Haihe River basin is distinct on the conflict of water resource and water environment in China ; T his basin is China’s important industrial base , high-tech industrial base and one of the three major grain production bases . But this area has serious problems of shortage of water resources , water pollution and the ecological environment deterioration . This study estimated hourly and daily evapotranspiration using SEBS (surface energy balance system) model with Geostational remote sensing data and available meteorological observations. It is a single layer model for estimation of regional evapotranspiration with high precision based on the surface energy balance , which can calculate net radiation, ground heat flux as well as sensible heat flux , and then, get the latent heat flux and evapotranspiration . This study utilized the SEBS model over Haihe River Basin, combined with some new parameterization updated method . The paper analysis the surface characteristic parameters from MTSAT and ITPCAS meteorological forcing data sets . Both of them are in highest temporal and spatial scale among current available land surface research datasets. Due to difference in spatial and temporal resolution of the two- forcing dataset , a pre- processing has been done with the two datasets to match the ir temporal and spatial distribution in the study area . Analysis of land surface radiation, water and heat flux and evapotranspiration from SEBS model were done by the thesis. Five flux tower measurements located in the basin were collected during the field work. The high quality of the ground observations was then used to validates the model result and analyze the error at flux tower point. T he results show that , the root square R 2 (the coefficient of determination) of evapotranspiration is equal to 0.67 Indicated ing hourly and daily evapotranspiration derived from SEBS model performed w ell in the study area . The estimation for high temporal resolution evapotranspiration using remote sensing method is feasible . Finally, the influence factor for SEBS evapotranspiration and possible error sources were also pointed out based on the result of this study

Version intégrale (ITC)

Page publiée le 27 janvier 2018