4.7 Article

Future projections of flooding characteristics in the Lancang-Mekong River Basin under climate change

期刊

JOURNAL OF HYDROLOGY
卷 602, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.jhydrol.2021.126778

关键词

Climate change; Extreme precipitation; Extreme floods; Lancang-Mekong River Basin (LMRB)

资金

  1. National Key Research and Development Program of China [2017YFA0603704]
  2. Major projects of National Natural Science Foundation of China [41890824]
  3. Strategic Priority Research Program of the Chinese Academy of Sciences [No.XDA23040103]

向作者/读者索取更多资源

Climate change is intensifying the hydrological cycle, leading to significant challenges for global and regional socioeconomic development. This study used global climate models to project future precipitation patterns in the Lancang-Mekong River Basin and found that future basin-averaged precipitation is expected to increase, with extreme precipitation values being larger than those in the historical period.
Climate change intensifies hydrological cycle, bringing critical challenges to the global and regional socioeconomic development. Here we used four global climate models to project future precipitation that drives hydrological modeling of future 30-year daily runoff in a large international river basin, the Lancang-Mekong River Basin (LMRB). We applied four probability distribution functions to fit the flood peak and maximum 3day flood volume series at four major hydrologic stations. The copula function was used to establish the joint distribution between extreme precipitation and flood peak to estimate the impact of precipitation change on floods. Results show that annual maximum 30-day precipitation (AM30D) and flood peak at Pakse station are highly correlated. Future basin-averaged AM30D is projected to increase under most climate scenarios, although AM30D varies widely in spatial distribution. The extreme values of AM30D (e.g., AM1D and AM3D) in the future (2021-2050) are larger than those in historical period (1981-2004). The temporal distribution of future AM30D is more uneven, showing the bimodal distribution. For the Yun Jinghong station, large uncertainty is estimated in change of direction of annual maximum flood peak and maximum 3-day flood volume. As for the other three stations, they are all projected to have larger flood risks in spite of different magnitudes. The larger the return period, the larger the increase, the greater the impact of climate change. The change of basin-averaged AM30D precipitation in the future will lead to the increase of flood peak at Pakse station via the bivariate frequency analysis. From the perspective of water conservancy project safety, considering the adverse principle, flood control design according to the design results derived from the joint distribution of two variables between AM30D and flood peak can reduce the risk of flood disaster. This study can provide scientific reference and basis for flood control and disaster reduction and water resources cooperation policy development in LMRB.

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