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Attribution of Long-Term Evapotranspiration Trends in the Mekong River Basin with a Remote Sensing-Based Process Model.
- Source :
- Remote Sensing; 1/15/2021, Vol. 13 Issue 2, p303, 1p
- Publication Year :
- 2021
-
Abstract
- Using the Global Land Surface Satellite (GLASS) leaf area index (LAI), the actual evapotranspiration (ET<subscript>a</subscript>) and available water resources in the Mekong River Basin were estimated with the Remote Sensing-Based Vegetation Interface Processes Model (VIP-RS). The relative contributions of climate variables and vegetation greening to ET<subscript>a</subscript> were estimated with numerical experiments. The results show that the average ET<subscript>a</subscript> in the entire basin increased at a rate of 1.16 mm year<superscript>−2</superscript> from 1980 to 2012 (36.7% of the area met the 95% significance level). Vegetation greening contributed 54.1% of the annual ET<subscript>a</subscript> trend, slightly higher than that of climate change. The contributions of air temperature, precipitation and the LAI were positive, whereas contributions of solar radiation and vapor pressure were negative. The effects of water supply and energy availability were equivalent on the variation of ET<subscript>a</subscript> throughout most of the basin, except the upper reach and downstream Mekong Delta. In the upper reach, climate warming played a critical role in the ET<subscript>a</subscript> variability, while the warming effect was offset by reduced solar radiation in the Mekong Delta (an energy-limited region). For the entire basin, the available water resources showed an increasing trend due to intensified precipitation; however, in downstream areas, additional pressure on available water resources is exerted due to cropland expansion with enhanced agricultural water consumption. The results provide scientific basis for practices of integrated catchment management and water resources allocation. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 20724292
- Volume :
- 13
- Issue :
- 2
- Database :
- Complementary Index
- Journal :
- Remote Sensing
- Publication Type :
- Academic Journal
- Accession number :
- 148251995
- Full Text :
- https://doi.org/10.3390/rs13020303