Assessing streamflow and sediment responses to future climate change over the Upper Mekong River Basin: A comparison between CMIP5 and CMIP6 models

被引:8
作者
Ma, Di [1 ]
Bai, Zhixu [2 ]
Xu, Yue-Ping [3 ]
Gu, Haiting [3 ]
Gao, Chao [4 ,5 ]
机构
[1] NingboTech Univ, Sch Civil Engn, Ningbo 315100, Peoples R China
[2] Wenzhou Univ, Coll Civil Engn & Architecture, Wenzhou 325035, Peoples R China
[3] Zhejiang Univ, Inst Water Sci & Engn, Coll Civil Engn & Architecture, Hangzhou 310058, Peoples R China
[4] Beijing Normal Univ, Adv Inst Nat Sci, Zhuhai 519087, Peoples R China
[5] Beijing Normal Univ, Zhuhai Campus,C708 Room,Muduo Bldg,18 Jinfeng Rd, Zhuhai 519087, Peoples R China
基金
中国国家自然科学基金;
关键词
Climate change; CMIP5-CMIP6; comparison; Streamflow; Sediments; Future projection; TEMPORAL VARIABILITY; WEATHER GENERATOR; TIBETAN PLATEAU; CHANGE IMPACTS; LANCANG RIVER; WATER-QUALITY; 3S RIVERS; UNCERTAINTY; PRECIPITATION; FLOW;
D O I
10.1016/j.ejrh.2024.101685
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 Upper Mekong River Basin (UMRB), Southwest China. Study focus: With climate change unfolding and climate change knowledge evolving over time, it is imperative to investigate whether the latest CMIP6 models offer enhanced utility in climate change impact studies compared to their predecessors. This study strengthens the comparison between CMIP5 and CMIP6 models in assessing hydrological responses to future climate change. This was achieved utilizing the Soil and Water Assessment Tool, driven by downscaled CMIP5/ CMIP6 model outputs under RCP8.5/SSP5-8.5. Both streamflow and sediment responses, encompassing the spatial and temporal changes, and the relationships between streamflow and sediment loads, were carefully evaluated and compared between CMIP5 and CMIP6. New hydrological insights for the region: CMIP6 indicates a stronger warming in 2071-2100 over the UMRB compared to CMIP5. Mean annual precipitation/streamflow is projected to increase by 22.7%/26.3% using CMIP5 and 28.4%/34.4% using CMIP6. Mean annual sediment load changes, however, show a discrepancy between CMIP5 (-3.7%) and CMIP6 (+13.8%). CMIP6 exhibits larger inter-model variability in both climate and hydrological projections. Regarding future spatial distributions of mean annual water and sediment yields, a considerable agreement is demonstrated between CMIP5 and CMIP6, despite CMIP6 showing larger projections over most subbasins. Additionally, both ensembles exhibit approximate relationships between streamflow and sediment loads, indicating a comparable decline in watershed sediment generation and transport capacity under future climate change. Overall, CMIP6 suggests more severe climate change impacts on streamflow and sediment loads in the UMRB than CMIP5, highlighting the need to update climate change adaptation and mitigation policies based on the latest insights derived from CMIP6.
引用
收藏
页数:19
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共 83 条
[21]   Future projection of seasonal drought characteristics using CMIP6 in the Lancang-Mekong River Basin [J].
Dong, Zhiqiang ;
Liu, Hui ;
Baiyinbaoligao ;
Hu, Hongchang ;
Khan, Mohd Yawar Ali ;
Wen, Jie ;
Chen, Lajiao ;
Tian, Fuqiang .
JOURNAL OF HYDROLOGY, 2022, 610
[22]   A multi basin SWAT model analysis of runoff and sedimentation in the Blue Nile, Ethiopia [J].
Easton, Z. M. ;
Fuka, D. R. ;
White, E. D. ;
Collick, A. S. ;
Ashagre, B. Biruk ;
McCartney, M. ;
Awulachew, S. B. ;
Ahmed, A. A. ;
Steenhuis, T. S. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2010, 14 (10) :1827-1841
[23]   Taking climate model evaluation to the next level [J].
Eyring, Veronika ;
Cox, Peter M. ;
Flato, Gregory M. ;
Gleckler, Peter J. ;
Abramowitz, Gab ;
Caldwell, Peter ;
Collins, William D. ;
Gier, Bettina K. ;
Hall, Alex D. ;
Hoffman, Forrest M. ;
Hurtt, George C. ;
Jahn, Alexandra ;
Jones, Chris D. ;
Klein, Stephen A. ;
Krasting, John P. ;
Kwiatkowski, Lester ;
Lorenz, Ruth ;
Maloney, Eric ;
Meehl, Gerald A. ;
Pendergrass, Angeline G. ;
Pincus, Robert ;
Ruane, Alex C. ;
Russell, Joellen L. ;
Sanderson, Benjamin M. ;
Santer, Benjamin D. ;
Sherwood, Steven C. ;
Simpson, Isla R. ;
Stouffer, Ronald J. ;
Williamson, Mark S. .
NATURE CLIMATE CHANGE, 2019, 9 (02) :102-110
[24]   On the climate sensitivity and historical warming evolution in recent coupled model ensembles [J].
Flynn, Clare Marie ;
Mauritsen, Thorsten .
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2020, 20 (13) :7829-7842
[25]   Latest climate models confirm need for urgent mitigation [J].
Forster, Piers M. ;
Maycock, Amanda C. ;
McKenna, Christine M. ;
Smith, Christopher J. .
NATURE CLIMATE CHANGE, 2020, 10 (01) :7-10
[26]   Future changes in the frequency of temperature extremes may be underestimated in tropical and subtropical regions [J].
Freychet, N. ;
Hegerl, G. ;
Mitchell, D. ;
Collins, M. .
COMMUNICATIONS EARTH & ENVIRONMENT, 2021, 2 (01)
[27]   Assessment of extreme flows and uncertainty under climate change: disentangling the uncertainty contribution of representative concentration pathways, global climate models and internal climate variability [J].
Gao, Chao ;
Booij, Martijn J. ;
Xu, Yue-Ping .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2020, 24 (06) :3251-3269
[28]   Assessing responses of hydrological processes to climate change over the southeastern Tibetan Plateau based on resampling of future climate scenarios [J].
Gao, Chao ;
Liu, Li ;
Ma, Di ;
He, Keqi ;
Xu, Yue-Ping .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 664 :737-752
[29]   Multiscale temporal variability of flow-sediment relationships during the 1950s-2014 in the Loess Plateau, China [J].
Gao, Guangyao ;
Fu, Bojie ;
Zhang, Jianjun ;
Ma, Ying ;
Sivapalan, Murugesu .
JOURNAL OF HYDROLOGY, 2018, 563 :609-619
[30]   Intensification of Global Hydrological Droughts Under Anthropogenic Climate Warming [J].
Gu, Lei ;
Yin, Jiabo ;
Slater, Louise J. J. ;
Chen, Jie ;
Do, Hong Xuan ;
Wang, Hui-Min ;
Chen, Lu ;
Jiang, Zhiqiang ;
Zhao, Tongtiegang .
WATER RESOURCES RESEARCH, 2023, 59 (01)