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- W2381520596 abstract "Existing methods for estimating land surface evapotranspiration use remote sensing data and surface heat-balance equation to estimate surface net radiation fluxes,soil heat flux and surface sensible heat fluxes,and finally to get evapotranspiration.These involve such parameters as air temperature,wind speed,land surface roughness as well as spatial interposition problems,and increase the complexity of operation and reduce the accuracy of estimation results.Application of thermal inertia method can avoid these disadvantages in estimating evapotranspiration.In this paper,the experimental data acquired from Chongling watershedof Yixian County of Hebei province at the time of Landsat/TM passing on May 28,2007 and the TM images captured are used.First,the downward atmospheric long-wave radiation data were calculated according to the apparent thermal inertia and surface radiometric temperature data were retrieved from the TM images.Secondly,surface net radiation fluxes were estimated.Thirdly,Bowen ratio was estimated by using the apparent thermal inertia and used to divide surface net radiation fluxes.Finally,the balance equation of surface energy was employed to obtain surface heat fluxes.This way reduced the steps for estimating surface sensible heat fluxes and is easily operable.The results show that 1) The apparent thermal inertia in Chongling watershed ranges from 0.1 to 0.2 cal·cm~(-2)·s~(-1)/2 ·℃~(-1);2) The Bowen ratio in Chongling watershed ranges from 0.1 to 0.7.It means that in the study area,there is no dry point that surface latent heat fluxes equal to zero and no wet-point that surface sensible heat fluxes equal to zero.In other words,the surface latent heat fluxes are well matchable with surface sensible heat fluxes;3) The instantaneous surface latent heat fluxes in Chongling watershed ranges from 300～582.1 W·m~(-2); 4) The daily evapotranspirations in the study area on 28 May 2007 ranges from 3mm to 6.70 mm.Results illuminate that the estimating land surface evapotranspiration through apparent thermal inertia based on Remote Sensing is feasible and preponderant.The two innovations were conducted in this paper: 1) The application of apparent thermal inertia avoided parameter limitations in terms of air temperature,wind speed,surfce roughness and spatial interposition;2)The surface radiometric temperature was introduced to estimate evapotranspiration,which avoiding the problems in determinating surface emissivity.These two innovations make the method more universal,propagable and easily operable." @default.
- W2381520596 created "2016-06-24" @default.
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- W2381520596 date "2008-01-01" @default.
- W2381520596 modified "2023-10-11" @default.
- W2381520596 title "Estimating Evapotranspiration through Application of Apparent Thermal Inertia based on Remote Sensing Technology:A Case Study in Chongling Watershed of Yixian County of Hebei Province" @default.
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