Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Inferring the potential impact of human activities on evapotranspiration in the Tumen River Basin based on LANDSAT imagery and historical statistics

Bibliographic Data

ID21649451
AuthorsHangnan Yu (0000-0003-1514-3816, College of Geography and Ocean Sciences Yanbian University Yanbian PR China), Woo‐Kyun Lee (0000-0002-2188-359X, Department of Environmental Science and Ecological Engineering Korea University Seoul South Korea, corresponding author), Lan Li (0000-0002-0408-8615, College of Geography and Ocean Sciences Yanbian University Yanbian PR China), Li Lan (0000-0003-3431-9266, Yanbian University, corresponding author), Ri Jin (0000-0001-8919-2624, College of Geography and Ocean Sciences Yanbian University Yanbian PR China), Weihong Zhu (College of Geography and Ocean Sciences Yanbian University Yanbian PR China), Zhen Xu (0000-0002-5080-7684, College of Geography and Ocean Sciences Yanbian University Yanbian PR China), Guishan Cui (0000-0003-1748-4235, College of Geography and Ocean Sciences Yanbian University Yanbian PR China)
Year2021
Volume32
Issue2
Pages926-935
Publication date2021-01-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueLand Degradation and Development (JOURNAL)
Journal identifiersISSN: 1085-3278 • E-ISSN: 1099-145X
PublisherWiley (PUBLISHER • GB)
DOI10.1002/ldr.3775
OpenAlexW3089094695
LanguageEN
Citations received1
References cited35

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

  • Indirect impacts of future urban expansion on ecosystem services in the transnational area of China, North Korea, and Russia

    Open Access•Da Zhang, Ying Nan et al.•Land Degradation and Development•2023

  • Recent decline in the global land evapotranspiration trend due to limited moisture supply

    Open Access•Martin Jung, Markus Reichstein et al.•Nature•2010

  • Random forest in remote sensing

    Open Access•Mariana Belgiu, Lucian Drăguț•ISPRS Journal of Photogrammetry…•2016

  • Random Forests

    Open Access•Leo Breiman•Machine Learning•2001

Unique citing works1
Citations per year0,33
Citation span2023 - 2023 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOI
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae