Analysis of evapotranspiration estimation and its spatial-temporal characteristics: taking Zhanghe irrigation district as an example

doi:10.13474/j.cnki.11-2246.2022.0357

Abstract

Abstract: Regional scale accurate inversion of evaporation for water cycle, climate change, scientific irriga-tion and drought and flood monitoring research has important scientific significance, this article taka Zhanghe irrigation district as typical irrigation area, builds the SEBS model of remote sensing evaporation, verifies the accuracy of re-mote sensing evaporation, the temporal and spatial law of evaporation is analyzed. The results show that:① the average correlation coefficients between ET observation values and simulated values at zhongxiang, jingmen and tuanlin stations from 2009 to 2018 are 0.86, 0.84 and 0.83 respectively, and RMSE valu-es are 0.61, 0.67 and 0.62 mm/d respectively. The interannual variation of ET observed and simulated values is less than 10%, the correlation coefficient ranges from 0.7 to 0.9, RMSE ranges from 0.4 to 0.8 mm/d, and standard deviation ratio ranges from 0.8 to 1.5. ② The average value of ET in the study area from 2009 to 2018 is 427.34 mm, and ET shows an overall upward trend.③ The time series of ET and precipitation at annual, seasonal and monthly scales are consistent. ET is higher in northeast and southwest and lower in west at multiple time scales. The research results can better present the high spatio-temporal heterogeneity of ET and the spatial differences of ET between years. This study will provide scientific basis for the development and management of water resources and scientific irrigation in Zhanghe irrigation district.

Key words: evaporation, MODIS, the space-time characteristics, SEBS, Zhanghe irrigation district

CLC Number:

P237

ZHANG Di, WEI Zheng, FENG Tianquan, CHEN Zumei, WANG Fengjing, HUANG Kui. Analysis of evapotranspiration estimation and its spatial-temporal characteristics: taking Zhanghe irrigation district as an example[J]. Bulletin of Surveying and Mapping, 2022, 0(12): 57-63.

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