Projection on precipitation frequency of different intensities and precipitation amount in the Lancang-Mekong River basin in the 21st century

被引:16
作者
Sun Chang [1 ,2 ]
Xiao Zi-Niu [1 ,2 ]
Minh Nguyen [3 ]
机构
[1] Chinese Acad Sci, Inst Atmospher Phys, State Key Lab Numer Modeling Atmospher Sci & Geop, Beijing 100029, Peoples R China
[2] Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
[3] Australias Commonwealth Sci & Ind Res Org, Land & Water, Clayton, Vic 3168, Australia
基金
中国国家自然科学基金;
关键词
Precipitation projection; Lancang-Mekong River basin; Precipitation frequency; Precipitation amount; Precipitation intensity; EXTREME DAILY RAINFALL; TEMPERATURE; VARIABILITY;
D O I
10.1016/j.accre.2021.03.001
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
In the Lancang-Mekong River basin (LMRB), agriculture, dominating the local economy, faces increasing challenges in water supply under climate change. The projection of future precipitation in this basin is essential for understanding the challenges. In this study, the Weather Research and Forecasting (WRF) model was applied to project the LMRB precipitation. Comparing with the historical period (1986-2005), we analyzed the changes of both the projected precipitation amount and the frequency of rainless (<0.1 mm d(-1)), light rain (0.1-10 mm d(-1)), moderate rain (10-25 mm d(-1)), heavy rain (25-50 mm d(-1)), rainstorm (50-100 mm d(-1)), and heavy rainstorm (>100 mm d(-1)) for three periods, namely the near-term (2016-2035), mid-term (2046-2065), and long-term (2080-2099). The results indicate that the precipitation amount during the wet season (April-October) is expected to increase in most areas of the basin for the three periods. As for the precipitation during the dry season (November-March), an increase is projected in most areas for the near-term, while an increase in the lower reach of the basin and a decrease in the upper and middle reach for the mid-term and long-term. The precipitation reduction is expected to be greatest in Myanmar, Laos, Thailand, and Yunnan province of China for the mid-term. The frequency of precipitation in different intensities has prominent regional and temporal differences. During the wet season, the days of rainless and light rain are expected to decrease in the middle reach, whereas the days of rainstorm and heavy rainstorm increase. This feature is especially strong in southern Thailand, southern Laos and Cambodia in the near-term and in Laos and Thailand for the mid-term and long-term. During the dry season, there are projected increasing rainless days and decreasing days of precipitation for the other intensities in the middle reach, and opposite in the rest area of the basin. These projected precipitation changes have potential various impact in different parts of the basin. The middle reach would likely face increasing flood risks because of more days of rainstorm and heavy rainstorm, as well as more precipitation. Yunnan, Myanmar, Thailand and Laos would probably be the center of drought threatens during the dry season due to the increment of rainless days and the precipitation reduction. Besides, the seawater intrusion during the dry season in the near-term and mid-term would be more serious as a result of the precipitation decrease in southern Vietnam.
引用
收藏
页码:162 / 171
页数:10
相关论文
共 33 条
[1]  
[Anonymous], 2007, ADV CLIM CHANG RES
[2]   Assessing reliability of precipitation data over the Mekong River Basin: A comparison of ground-based, satellite, and reanalysis datasets [J].
Chen, Aifang ;
Chen, Deliang ;
Azorin-Molina, Cesar .
INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 (11) :4314-4334
[3]  
[陈素景 Chen Sujing], 2017, [地球信息科学学报, Journal of Geo-Information Science], V19, P365
[4]   Temperature and Precipitation Variability and Its Effects on Streamflow in the Upstream Regions of the Lancang-Mekong and Nu-Salween Rivers [J].
Fan, Hui ;
He, Daming .
JOURNAL OF HYDROMETEOROLOGY, 2015, 16 (05) :2248-2263
[5]   Risks of precipitation extremes over Southeast Asia: does 1.5 °C or 2 °C global warming make a difference? [J].
Ge, Fei ;
Zhu, Shoupeng ;
Peng, Ting ;
Zhao, Yong ;
Sielmann, Frank ;
Fraedrich, Klaus ;
Zhi, Xiefei ;
Liu, Xiaoran ;
Tang, Weiwei ;
Ji, Luying .
ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (04)
[6]   Technical Note: Downscaling RCM precipitation to the station scale using statistical transformations - a comparison of methods [J].
Gudmundsson, L. ;
Bremnes, J. B. ;
Haugen, J. E. ;
Engen-Skaugen, T. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2012, 16 (09) :3383-3390
[7]   Added value of CMIP6 over CMIP5 models in simulating Indian summer monsoon rainfall [J].
Gusain, A. ;
Ghosh, S. ;
Karmakar, S. .
ATMOSPHERIC RESEARCH, 2020, 232
[8]   Wetting tendency in the Central Mekong Basin consistent with climate change-induced atmospheric disturbances already observed in East Asia [J].
Lacombe, G. ;
Smakhtin, V. ;
Hoanh, C. T. .
THEORETICAL AND APPLIED CLIMATOLOGY, 2013, 111 (1-2) :251-263
[9]  
[刘波 Liu Bo], 2011, [干旱区地理, Arid Land Geography], V34, P958
[10]   Changes in Extreme Precipitation in the Mekong Basin [J].
Liu, Lu ;
Bai, Peng ;
Liu, Changming ;
Tian, Wei ;
Liang, Kang .
ADVANCES IN METEOROLOGY, 2020, 2020