Climate impact emergence and flood peak synchronization projections in the Ganges, Brahmaputra and Meghna basins under CMIP5 and CMIP6 scenarios

被引:7
作者
Gaedeke, Anne [1 ,2 ]
Wortmann, Michel [1 ,2 ,3 ]
Menz, Christoph [1 ,2 ]
Islam, A. K. M. Saiful [4 ]
Masood, Muhammad [5 ]
Krysanova, Valentina [1 ,2 ]
Lange, Stefan [1 ,2 ]
Hattermann, Fred Fokko [1 ,2 ]
机构
[1] Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany
[2] Leibniz Assoc, D-14412 Potsdam, Germany
[3] Univ Oxford, Sch Geog & Environm, South Parks Rd, Oxford OX1 3QY, England
[4] Bangladesh Univ Engn & Technol, Inst Water & Flood Management, Dhaka 1000, Bangladesh
[5] Bangladesh Water Dev Board, Design Circle 9,Pani Bhaban Level 2,Green Rd,, Dhaka 1215, Bangladesh
关键词
floods; Bangladesh; CMIP6; CMIP5; ISIMIP; time of climate impact emergence; flood peak synchronization; ASIAN SUMMER MONSOON; BIAS CORRECTION; MODEL; RIVER; PERFORMANCE; SIMULATION; RUNOFF;
D O I
10.1088/1748-9326/ac8ca1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The densely populated delta of the three river systems of the Ganges, Brahmaputra and Meghna is highly prone to floods. Potential climate change-related increases in flood intensity are therefore of major societal concern as more than 40 million people live in flood-prone areas in downstream Bangladesh. Here we report on new flood projections using a hydrological model forced by bias-adjusted ensembles of the latest-generation global climate models of CMIP6 (SSP5-8.5/SSP1-2.6) in comparison to CMIP5 (RCP8.5/RCP2.6). Results suggest increases in peak flow magnitude of 36% (16%) on average under SSP5-8.5 (SSP1-2.6), compared to 60% (17%) under RCP8.5 (RCP2.6) by 2070-2099 relative to 1971-2000. Under RCP8.5/SSP5-8.5 (2070-2099), the largest increase in flood risk is projected for the Ganges watershed, where higher flood peaks become the 'new norm' as early as mid-2030 implying a relatively short time window for adaptation. In the Brahmaputra and Meghna rivers, the climate impact signal on peak flow emerges after 2070 (CMIP5 and CMIP6 projections). Flood peak synchronization, when annual peak flow occurs simultaneously at (at least) two rivers leading to large flooding events within Bangladesh, show a consistent increase under both projections. While the variability across the ensemble remains high, the increases in flood magnitude are robust in the study basins. Our findings emphasize the need of stringent climate mitigation policies to reduce the climate change impact on peak flows (as presented using SSP1-2.6/RCP2.6) and to subsequently minimize adverse socioeconomic impacts and adaptation costs. Considering Bangladesh's high overall vulnerability to climate change and its downstream location, synergies between climate change adaptation and mitigation and transboundary cooperation will need to be strengthened to improve overall climate resilience and achieve sustainable development.
引用
收藏
页数:15
相关论文
共 71 条
  • [31] SIMULATION MODELING OF THE COASTAL WATERS POLLUTION FROM AGRICULTURAL WATERSHED
    KRYSANOVA, V
    MEINER, A
    ROOSAARE, J
    VASILYEV, A
    [J]. ECOLOGICAL MODELLING, 1989, 49 (1-2) : 7 - 29
  • [32] Development and test of a spatially distributed hydrological water quality model for mesoscale watersheds
    Krysanova, V
    Muller-Wohlfeil, DI
    Becker, A
    [J]. ECOLOGICAL MODELLING, 1998, 106 (2-3) : 261 - 289
  • [33] How the performance of hydrological models relates to credibility of projections under climate change
    Krysanova, Valentina
    Donnelly, Chantal
    Gelfan, Alexander
    Gerten, Dieter
    Arheimer, Berit
    Hattermann, Fred
    Kundzewicz, Zbigniew W.
    [J]. HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES, 2018, 63 (05): : 696 - 720
  • [34] Modelling climate and land-use change impacts with SWIM: lessons learnt from multiple applications
    Krysanova, Valentina
    Hattermann, Fred
    Huang, Shaochun
    Hesse, Cornelia
    Vetter, Tobias
    Liersch, Stefan
    Koch, Hagen
    Kundzewicz, Zbigniew W.
    [J]. HYDROLOGICAL SCIENCES JOURNAL, 2015, 60 (04) : 606 - 635
  • [35] Lange Stefan, 2019, GFZ
  • [36] Trend-preserving bias adjustment and statistical downscaling with ISIMIP3BASD (v1.0)
    Lange, Stefan
    [J]. GEOSCIENTIFIC MODEL DEVELOPMENT, 2019, 12 (07) : 3055 - 3070
  • [37] Lange Stefan, 2017, Zenodo, DOI 10.5281/ZENODO.1069050
  • [38] Lange Stefan, 2016, GFZ
  • [39] Bias correction of surface downwelling longwave and shortwave radiation for the EWEMBI dataset
    Lange, Stefan
    [J]. EARTH SYSTEM DYNAMICS, 2018, 9 (02) : 627 - 645
  • [40] Predicting social and health vulnerability to floods in Bangladesh
    Lee, Donghoon
    Ahmadul, Hassan
    Patz, Jonathan
    Block, Paul
    [J]. NATURAL HAZARDS AND EARTH SYSTEM SCIENCES, 2021, 21 (06) : 1807 - 1823