Abstract
Understanding the spatial and temporal changes in actual evapotranspiration (ETa) caused by different human activities is important for water management in water-sensitive areas, because ETa plays a major role in regulating the availability of water on land. Thus, ETa observation is particularly important for observing land degradation in the watershed. This study used the operational simplified surface energy balance (SSEBop) model to perform ETa estimations and observations in the Tumen River Basin (TRB), covering the border of China and Democratic People's Republic of Korea (DPRK), over the last 30 years by using eight periods of clear-sky LANDSAT Thematic Mapper/Operational Land Imager (TM/OLI) and thermal infrared sensor (TIRS) data. To assess the reliability of the ETa estimations, multilayer soil temperatures from the China Meteorological Administration (CMA) Land Data Assimilation System Version 2.0 (CLDAS-V2.0) were utilized. The highest R2 (.71) between ETa and soil temperature was observed in layers shallower than 10 cm; this value of R2 gradually decreased to.57 at a depth of 200 cm. The average ETa of the TRB declined from 1.65 mm in 1985 to 1.03 mm in 2017. The impact of human activities on water loss (ETa) was determined by comparing land cover changes observed by an object-based image analysis (OBIA) approach and economic activities between 1994 and 2008. Varying economic activities and water depletion in different soil layers may have led to the variable ETa values between the northern (China) and southern (DPRK) part of the TRB during the last three decades.
Original language | English |
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Pages (from-to) | 926-935 |
Number of pages | 10 |
Journal | Land Degradation and Development |
Volume | 32 |
Issue number | 2 |
DOIs | |
Publication status | Published - 2021 Jan 30 |
Bibliographical note
Funding Information:This work was supported by the Youth Program by the National Natural Science Foundation of China (grant number 41901123), the State Key Program by the National Natural Science Foundation of China (grant number 41830643), and Jilin Province Science and Technology Development Plan (grant number 20180101018JC).
Funding Information:
Department of Science and Technology of Jilin Province, Grant/Award Number: 20180101018JC; National Natural Science Foundation of China, Grant/Award Numbers: 41830643, 41901123 Funding information
Publisher Copyright:
© 2020 John Wiley & Sons, Ltd.
Keywords
- LANDSAT
- OBIA
- SSEBop model
- Tumen River Basin
- evapotranspiration
ASJC Scopus subject areas
- Environmental Chemistry
- Development
- General Environmental Science
- Soil Science