Land cover change mitigated 20 % of the total increased evapotranspiration in tropical Lancang-Mekong River Basin during 2001-2019

被引:0
作者
Chen, Houbing [1 ,2 ,3 ]
Chen, Yaoliang [1 ,2 ]
Mansaray, Lamin R. [4 ]
Li, Longwei [5 ,6 ,7 ]
Wang, Shusen [8 ]
机构
[1] Fujian Normal Univ, Key Lab Humid Subtrop Ecogeog Proc, Minist Educ, Fuzhou 350117, Peoples R China
[2] Fujian Normal Univ, Sch Geog Sci, Fuzhou 350007, Peoples R China
[3] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510006, Peoples R China
[4] Njala Univ, Inst Geog & Dev Studies, Sch Environm Sci, Lab Remote Sensing & GIS, Njala Campus, Njala, Sierra Leone
[5] Chuzhou Univ, Anhui Prov Key Lab Phys Geog Environm, Chuzhou 239000, Peoples R China
[6] Anhui Engn Lab Geoinformat Smart Sensing & Serv, Chuzhou 239000, Peoples R China
[7] Anhui Ctr Collaborat Innovat Geog Informat Integra, Chuzhou 239000, Peoples R China
[8] Nat Resources Canada, Canada Ctr Remote Sensing, Ottawa, ON K1A 0E4, Canada
基金
中国国家自然科学基金;
关键词
Latent heat; Land cover change; Mekong River Basin; Scenario simulation; Tropical ecosystem; WACMOS-ET PROJECT; FLUX TOWER; SURFACE; MODIS; EVAPORATION; CLIMATE; WATER; MOISTURE; IMPACTS; AREA;
D O I
10.1016/j.ejrh.2024.102160
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Study region: The tropical Lancang-Mekong River Basin (TLMRB), Southeast Asia. Study focus: Accurately assessing evapotranspiration (ET) change derived from land cover changes (LCCs) is challenging in tropical regions due to the large bias in existing ET products and the difficulty in improving the ET al.gorithm for tropical ecosystems. This study quantified the LCCsdriven ET in the TLMRB from 2001 to 2019 by using scenario simulations based on an improved MOD16 algorithm. A soil moisture index was introduced to improve the soil evaporation of the original MOD16 model. New hydrological insights for the region: The improved MOD16 algorithm showed better performance with the average Root Mean Square Error decreasing by 0.12 mm/day compared with the original MOD16 ET. The improved ET of the wet climate conditions was more significant than that under dry climate conditions. LCCs led to a 3.45 mm/yr decrease in average ET, and mitigated 20 % of increased ET. LCCs caused a net reduction of 7.44 billion m3 in ET water consumption. This decrease in ET, may intensify the surface runoff and raise the risk of extreme floods in the rain season. These findings enhance our understanding of the relationship between LCCs and ET in tropical regions, and provide valuable insights for trans-boundary collaborations and water resource management in the TLMRB.
引用
收藏
页数:18
相关论文
共 90 条
[1]   Evapotranspiration Modeling Using Different Tree Based Ensembled Machine Learning Algorithm [J].
Agrawal, Yash ;
Kumar, Manoranjan ;
Ananthakrishnan, Supriya ;
Kumarapuram, Gopalakrishnan .
WATER RESOURCES MANAGEMENT, 2022, 36 (03) :1025-1042
[2]  
Allen R. G., 1998, FAO Irrigation and Drainage Paper
[3]   Using SMAP Level-4 soil moisture to constrain MOD16 evapotranspiration over the contiguous USA [J].
Brust, Colin ;
Kimball, John S. ;
Maneta, Marco P. ;
Jencso, Kelsey ;
He, Mingzhu ;
Reichle, Rolf H. .
REMOTE SENSING OF ENVIRONMENT, 2021, 255
[4]   Global land surface evaporation trend during the past half century: Corroboration by Clausius-Clapeyron scaling [J].
Brutsaert, Wilfried .
ADVANCES IN WATER RESOURCES, 2017, 106 :3-5
[5]   Streamflow Response to Climate and Land-Use Changes in a Tropical Island Basin [J].
Cao, Can ;
Sun, Rui ;
Wu, Zhixiang ;
Chen, Bangqian ;
Yang, Chuan ;
Li, Qian ;
Fraedrich, Klaus .
SUSTAINABILITY, 2023, 15 (18)
[6]   Assessment and Inter-Comparison of Multi-Source High Spatial Resolution Evapotranspiration Products over Lancang-Mekong River Basin, Southeast Asia [J].
Chen, Houbing ;
Gnanamoorthy, Palingamoorthy ;
Chen, Yaoliang ;
Mansaray, Lamin R. ;
Song, Qinghai ;
Liao, Kuo ;
Shi, Aoni ;
Feng, Ganlin ;
Sun, Chenna .
REMOTE SENSING, 2022, 14 (03)
[7]   Increased evapotranspiration from land cover changes intensified water crisis in an arid river basin in northwest China [J].
Chen, Yaoliang ;
Wang, Shusen ;
Ren, Zhiguo ;
Huang, Jingfeng ;
Wang, Xiuzhen ;
Liu, Shanshan ;
Deng, Haijun ;
Lin, Wenke .
JOURNAL OF HYDROLOGY, 2019, 574 :383-397
[8]  
Cleugh HA, 2007, REMOTE SENS ENVIRON, V106, P285, DOI [10.1016/j.rse.2006.07.007, 10.1016/j.rse.2007.04.015]
[9]  
Copernicus Climate Change Service, 2019, ECMWR
[10]   Estimation of evapotranspiration of "soil-vegetation" system with a scheme combining a dual-source model and satellite data assimilation [J].
Cui, Yaokui ;
Jia, Li .
JOURNAL OF HYDROLOGY, 2021, 603