Projecting meteorological, hydrological and agricultural droughts for the Yangtze River basin

被引:89
作者
Sun, Fengyun [1 ,2 ,3 ,4 ]
Mejia, Alfonso [4 ]
Zeng, Peng [1 ,2 ,3 ]
Che, Yue [1 ,2 ,3 ]
机构
[1] East China Normal Univ, Sch Ecol & Environm Sci, Shanghai 200241, Peoples R China
[2] East China Normal Univ, Shanghai Key Lab Urban Ecol Proc & Ecorestorat, Shanghai 200241, Peoples R China
[3] Inst Ecochongming IEC, Shanghai 200062, Peoples R China
[4] Penn State Univ, Dept Civil & Environm Engn, University Pk, PA 16802 USA
关键词
Drought prediction; Drought index; CMIP5; RCP emission scenarios; Statistical downscaling; SWAT; CLIMATE-CHANGE IMPACTS; DAILY TEMPERATURE EXTREMES; PRECIPITATION CHANGES; WATER-RESOURCES; CMIP5; MODEL; CHINA; SIMULATIONS; PATTERNS; INDEXES;
D O I
10.1016/j.scitotenv.2019.134076
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Drought is a multifaceted natural hazard that occurs in virtually any component of the hydrological cycle. Drought monitoring and prediction from multiple viewpoints are essential for reliable risk planning and management. This study presents a joint prognosis of meteorological (M-drought), hydrological (H-drought) and agricultural (A-drought) droughts for the period 2021-2100 over the Yangtze River basin (YRB). The prognosis uses an ensemble of 10 models fromthe Coupled Model Intercomparison Project Phase 5 (CMIP5) for two future emission scenarios (RCP4.5 and RCP8.5). Precipitation, runoff, and soil moisture are used to quantify M-drought, H-drought, and A-drought, respectively. The results indicate that the raw CMIP5 multimodel ensemble for the YRB generally overestimates precipitation while underestimating temperature. The precipitation, runoff, and soil moisture are all projected to increase in the coming decades at the spatial scale of the entire YRB. Moreover, the magnitudes of drought shift from moderate and severe in the past (1954-2013) to extreme and exceptional in the future. The durations of drought are anticipated to prolong in the future, especially for the A-droughts. A-droughts are projected to be more severe than M- and H-droughts. Furthermore, the headwater areas and the areas surrounding the intersection of Sichuan, Guizhou and Chongqing are anticipated to increase in A-drought severity. These findings provide insight to inform drought planning and management in the YRB, and improve our understanding of the ability of precipitation, runoff, and soil moisture to describe droughts under global warming scenarios. (C) 2019 Elsevier B.V. All rights reserved.
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页数:15
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共 84 条
  • [41] How well do CMIP5 climate simulations replicate historical trends and patterns of meteorological droughts?
    Nasrollahi, Nasrin
    AghaKouchak, Amir
    Cheng, Linyin
    Damberg, Lisa
    Phillips, Thomas J.
    Miao, Chiyuan
    Hsu, Kuolin
    Sorooshian, Soroosh
    [J]. WATER RESOURCES RESEARCH, 2015, 51 (04) : 2847 - 2864
  • [42] Brazil's drought: Beware deforestation
    Nazareno, Alison G.
    Laurance, William F.
    [J]. SCIENCE, 2015, 347 (6229) : 1427 - 1427
  • [43] Elusive drought: uncertainty in observed trends and short- and long-term CMIP5 projections
    Orlowsky, B.
    Seneviratne, S. I.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2013, 17 (05) : 1765 - 1781
  • [44] Current and future precipitation extremes over Mississippi and Yangtze River basins as simulated in CMIP5 models
    Pan, Zaitao
    Zhang, Yuanjie
    Liu, Xiaodong
    Gao, Zhiqiu
    [J]. JOURNAL OF EARTH SCIENCE, 2016, 27 (01) : 22 - 36
  • [45] Increasing drought in Jordan: Climate change and cascading Syrian land-use impacts on reducing transboundary flow
    Rajsekhar, Deepthi
    Gorelick, Steven M.
    [J]. SCIENCE ADVANCES, 2017, 3 (08):
  • [46] Global patterns of drought recovery
    Schwalm, Christopher R.
    Anderegg, William R. L.
    Michalak, Anna M.
    Fisher, Joshua B.
    Biondi, Franco
    Koch, George
    Litvak, Marcy
    Ogle, Kiona
    Shaw, John D.
    Wolf, Adam
    Huntzinger, Deborah N.
    Schaefer, Kevin
    Cook, Robert
    Wei, Yaxing
    Fang, Yuanyuan
    Hayes, Daniel
    Huang, Maoyi
    Jain, Atul
    Tian, Hanqin
    [J]. NATURE, 2017, 548 (7666) : 202 - +
  • [47] Watershed-scale retrospective drought analysis and seasonal forecasting using multi-layer, high-resolution simulated soil moisture for Southeastern U.S
    Sehgal, Vinit
    Sridhar, Venkataramana
    [J]. WEATHER AND CLIMATE EXTREMES, 2019, 23
  • [48] Integrating Climate Forecasts with the Soil and Water Assessment Tool (SWAT) for High-Resolution Hydrologic Simulations and Forecasts in the Southeastern US
    Sehgal, Vinit
    Sridhar, Venkataramana
    Juran, Luke
    Ogejo, Jactone Arogo
    [J]. SUSTAINABILITY, 2018, 10 (09)
  • [49] Effect of hydroclimatological teleconnections on the watershed-scale drought predictability in the southeastern United States
    Sehgal, Vinit
    Sridhar, Venkataramana
    [J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY, 2018, 38 : E1139 - E1157
  • [50] Stratified drought analysis using a stochastic ensemble of simulated and in-situ soil moisture observations
    Sehgal, Vinit
    Sridhar, Venkataramana
    Tyagi, Aditya
    [J]. JOURNAL OF HYDROLOGY, 2017, 545 : 226 - 250