Attribution of Long-Term Evapotranspiration Trends in the Mekong River Basin with a Remote Sensing-Based Process Model
文献类型：期刊论文
| 作者 | Hu, Shi1; Mo, Xingguo1,2
|
| 刊名 | REMOTE SENSING
 |
| 出版日期 | 2021 |
| 卷号 | 13期号:2页码:18 |
| 关键词 | actual evapotranspiration available water resources climate change vegetation greening VIP-RS model |
| DOI | 10.3390/rs13020303 |
| 通讯作者 | Mo, Xingguo(moxg@igsnrr.ac.cn) |
| 英文摘要 | Using the Global Land Surface Satellite (GLASS) leaf area index (LAI), the actual evapotranspiration (ETa) 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 ETa were estimated with numerical experiments. The results show that the average ETa in the entire basin increased at a rate of 1.16 mm year(-2) from 1980 to 2012 (36.7% of the area met the 95% significance level). Vegetation greening contributed 54.1% of the annual ETa 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 ETa 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 ETa 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. |
| 资助项目 | National Key R&D Program of China[2017YFA0603702] ; National Natural Science Foundation of China[41971232] |
| WOS研究方向 | Environmental Sciences & Ecology ; Geology ; Remote Sensing |
| 语种 | 英语 |
| WOS记录号 | WOS:000611564900001 |
| 出版者 | MDPI |
| 资助机构 | National Key R&D Program of China ; National Natural Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/136266]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Mo, Xingguo |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, SDC Coll, Beijing 101407, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Shi,Mo, Xingguo. Attribution of Long-Term Evapotranspiration Trends in the Mekong River Basin with a Remote Sensing-Based Process Model[J]. REMOTE SENSING,2021,13(2):18. |
| APA | Hu, Shi,&Mo, Xingguo.(2021).Attribution of Long-Term Evapotranspiration Trends in the Mekong River Basin with a Remote Sensing-Based Process Model.REMOTE SENSING,13(2),18. |
| MLA | Hu, Shi,et al."Attribution of Long-Term Evapotranspiration Trends in the Mekong River Basin with a Remote Sensing-Based Process Model".REMOTE SENSING 13.2(2021):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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