Inferring the potential impact of human activities on evapotranspiration in the Tumen River Basin based on LANDSAT imagery and historical statistics
Bibliographic Data
Understanding the spatial and temporal changes in actual evapotranspiration (ET a ) caused by different human activities is important for water management in water‐sensitive areas, because ET a plays a major role in regulating the availability of water on land. Thus, ET a observation is particularly important for observing land degradation in the watershed. This study used the operational simplified surface energy balance (SSEBop) model to perform ET a 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 ET a estimations, multilayer soil temperatures from the China Meteorological Administration (CMA) Land Data Assimilation System Version 2.0 (CLDAS‐V2.0) were utilized. The highest R 2 (.71) between ET a and soil temperature was observed in layers shallower than 10 cm; this value of R 2 gradually decreased to .57 at a depth of 200 cm. The average ET a of the TRB declined from 1.65 mm in 1985 to 1.03 mm in 2017. The impact of human activities on water loss (ET a ) 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 ET a values between the northern (China) and southern (DPRK) part of the TRB during the last three decades
Cartography · Drainage basin · Evapotranspiration · Geography · Land cover · Land use · Physical geography · Remote sensing · Satellite imagery · Thematic map · Thematic Mapper · Watershed · Environmental Science · Hydrology and Watershed Management Studies · Plant Water Relations and Carbon Dynamics · Remote Sensing in Agriculture · Ecology · Geology
| Unique citing works | 1 |
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| Citations per year | 0,33 |
| Citation span | 2023 - 2023 (1) |
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| Highly cited | No |
| Citation types | Neutral: 1 |