Multimodel assessment of water scarcity under climate change

被引:1160
|
作者
Schewe, Jacob [1 ]
Heinke, Jens [1 ,2 ]
Gerten, Dieter [1 ]
Haddeland, Ingjerd [3 ]
Arnell, Nigel W. [4 ]
Clark, Douglas B. [5 ]
Dankers, Rutger [6 ]
Eisner, Stephanie [7 ]
Fekete, Balazs M. [8 ]
Colon-Gonzalez, Felipe J. [9 ]
Gosling, Simon N. [10 ]
Kim, Hyungjun [11 ]
Liu, Xingcai [13 ]
Masaki, Yoshimitsu [14 ]
Portmann, Felix T. [15 ,16 ,17 ,18 ]
Satoh, Yusuke [12 ]
Stacke, Tobias [19 ]
Tang, Qiuhong [13 ]
Wada, Yoshihide [20 ]
Wisser, Dominik [21 ]
Albrecht, Torsten [1 ]
Frieler, Katja [1 ]
Piontek, Franziska [1 ]
Warszawski, Lila [1 ]
Kabat, Pavel [22 ,23 ]
机构
[1] Potsdam Inst Climate Impact Res, D-14412 Potsdam, Germany
[2] Int Livestock Res Inst, Nairobi, Kenya
[3] Norwegian Water Resources & Energy Directorate, N-0301 Oslo, Norway
[4] Univ Reading, Walker Inst Climate Syst Res, Reading RG6 6AR, Berks, England
[5] Ctr Ecol & Hydrol, Wallingford OX10 8BB, Oxon, England
[6] Met Off Hadley Ctr, Exeter EX1 3PB, Devon, England
[7] Univ Kassel, Ctr Environm Syst Res, D-34109 Kassel, Germany
[8] CUNY City Coll, Civil Engn Dept, New York, NY 10031 USA
[9] Abdus Salam Int Ctr Theoret Phys, I-34151 Trieste, Italy
[10] Univ Nottingham, Sch Geog, Nottingham NG7 2RD, England
[11] Univ Tokyo, Inst Ind Sci, Meguro Ku, Tokyo 1538505, Japan
[12] Univ Tokyo, Dept Civil Engn, Bunkyo Ku, Tokyo 1138654, Japan
[13] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
[14] Natl Inst Environm Studies, Ctr Global Environm Res, Tsukuba, Ibaraki 3058506, Japan
[15] LOEWE Biodivers & Climate Res Ctr, D-60325 Frankfurt, Germany
[16] Senckenberg Res Inst, D-60325 Frankfurt, Germany
[17] Nat Hist Museum, D-60325 Frankfurt, Germany
[18] Goethe Univ Frankfurt, Inst Phys Geog, D-60438 Frankfurt, Germany
[19] Max Planck Inst Meteorol, D-20146 Hamburg, Germany
[20] Univ Utrecht, Dept Phys Geog, NL-3584 CS Utrecht, Netherlands
[21] Univ Bonn, Ctr Dev Res, D-53113 Bonn, Germany
[22] Int Inst Appl Syst Anal, A-2361 Laxenburg, Austria
[23] Univ Wageningen & Res Ctr, NL-6708 Wageningen, Netherlands
基金
美国国家科学基金会; 日本学术振兴会;
关键词
climate impacts; hydrological modeling; Inter-Sectoral Impact Model Intercomparison Project; MODEL DESCRIPTION; BIAS CORRECTION; RIVER RUNOFF; RESOURCES; AVAILABILITY; IMPACT; VULNERABILITY; ENERGY;
D O I
10.1073/pnas.1222460110
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Water scarcity severely impairs food security and economic prosperity in many countries today. Expected future population changes will, in many countries as well as globally, increase the pressure on available water resources. On the supply side, renewable water resources will be affected by projected changes in precipitation patterns, temperature, and other climate variables. Here we use a large ensemble of global hydrological models (GHMs) forced by five global climate models and the latest greenhouse-gas concentration scenarios (Representative Concentration Pathways) to synthesize the current knowledge about climate change impacts on water resources. We show that climate change is likely to exacerbate regional and global water scarcity considerably. In particular, the ensemble average projects that a global warming of 2 degrees C above present (approximately 2.7 degrees C above preindustrial) will confront an additional approximate 15% of the global population with a severe decrease in water resources and will increase the number of people living under absolute water scarcity (< 500 m(3) per capita per year) by another 40% (according to some models, more than 100%) compared with the effect of population growth alone. For some indicators of moderate impacts, the steepest increase is seen between the present day and 2 degrees C, whereas indicators of very severe impacts increase unabated beyond 2 degrees C. At the same time, the study highlights large uncertainties associated with these estimates, with both global climate models and GHMs contributing to the spread. GHM uncertainty is particularly dominant in many regions affected by declining water resources, suggesting a high potential for improved water resource projections through hydrological model development.
引用
收藏
页码:3245 / 3250
页数:6
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