Investigating effect of climate change on drought propagation from meteorological to hydrological drought using multi-model ensemble projections

被引:98
|
作者
Jehanzaib, Muhammad [1 ]
Sattar, Muhammad Nouman [1 ,4 ]
Lee, Joo-Heon [2 ]
Kim, Tae-Woong [3 ]
机构
[1] Hanyang Univ, Dept Civil & Environm Engn, Seoul 04763, South Korea
[2] Joongbu Univ, Dept Civil Engn, Goyang 10279, South Korea
[3] Hanyang Univ, Dept Civil & Environm Engn, Ansan 15588, South Korea
[4] Univ Faisalabad, Sch Civil Engn, Faisalabad 38000, Pakistan
关键词
Climate change; Drought propagation; Meteorological drought; Hydrological drought; RIVER-BASIN; CMIP5; TEMPERATURE; STREAMFLOW; TIME;
D O I
10.1007/s00477-019-01760-5
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Climate change is a main driving force that affects the hydrological cycle, leading to an increase in natural hazards. Among these natural hazards, drought is one of the most destructive and becomes more complex considering climate change. Therefore, it is necessary to investigate the effect of climate change on different types of drought. In this study, we examined the propagation probability of meteorological drought into hydrological drought using a probabilistic graphical model across South Korea. We performed correlation analyses among meteorological drought represented by Standardized Precipitation Index (SPI) and Standardized Precipitation Evapotranspiration Index (SPEI) and hydrological drought by Standardized Runoff Index (SRI) on different time scales. Drought characteristics were examined under a baseline period, RCP 4.5, and 8.5 climate change scenarios, and the results illustrated that drought characteristics varied spatially. On average, drought severity of SPI increased in P1 (2011-2040) and then deceased in P2 (2041-2070) and P3 (2071-2099) under RCP 4.5, whereas drought severity also increased in P1 under RCP 8.5. However, average drought severity of SPEI increased in P3, whereas that of SRI showed a decreasing trend for all the periods. Finally, propagation occurrence probabilities of different states of meteorological drought resulting in different states of hydrological drought were examined under climate change scenarios. The average propagation probability of extreme state of meteorological drought resulting in moderate and severe condition of hydrological drought increased by 13% and 2%, respectively, under RCP 4.5; while average propagation probability of extreme state of meteorological drought resulting in severe and extreme conditions of hydrological drought increased by 1.5% and 84%, respectively, under RCP 8.5. We concluded that propagation probability of meteorological drought into hydrological drought increased significantly under climate change. These findings will be helpful for early mitigation of hydrological drought.
引用
收藏
页码:7 / 21
页数:15
相关论文
共 50 条
  • [41] Using an integrated hydrological model to estimate the usefulness of meteorological drought indices in a changing climate
    von Gunten, Diane
    Woehling, Thomas
    Haslauer, Claus P.
    Merchan, Daniel
    Causape, Jesus
    Cirpka, Olaf A.
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2016, 20 (10) : 4159 - 4175
  • [42] Multi-model drought predictions using temporally aggregated climate indicators
    Rashid, Md. Mamunur
    Sharma, Ashish
    Johnson, Fiona
    JOURNAL OF HYDROLOGY, 2020, 581
  • [43] Evaluation of hydrological effect of stakeholder prioritized climate change adaptation options based on multi-model regional climate projections
    Bhave, Ajay Gajanan
    Mishra, Ashok
    Raghuwanshi, Narendra Singh
    CLIMATIC CHANGE, 2014, 123 (02) : 225 - 239
  • [44] Evaluation of hydrological effect of stakeholder prioritized climate change adaptation options based on multi-model regional climate projections
    Ajay Gajanan Bhave
    Ashok Mishra
    Narendra Singh Raghuwanshi
    Climatic Change, 2014, 123 : 225 - 239
  • [45] From meteorological to hydrological drought using standardised indicators
    Barker, Lucy J.
    Hannaford, Jamie
    Chiverton, Andrew
    Svensson, Cecilia
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2016, 20 (06) : 2483 - 2505
  • [46] Investigating the Propagation From Meteorological to Hydrological Drought by Introducing the Nonlinear Dependence With Directed Information Transfer Index
    Zhou, Zhaoqiang
    Shi, Haiyun
    Fu, Qiang
    Ding, Yibo
    Li, Tianxiao
    Liu, Suning
    WATER RESOURCES RESEARCH, 2021, 57 (08)
  • [47] The dynamic change of propagation from meteorological drought to hydrological drought at the basin scale: A case study from the Weihe River Basin, China
    Zhao, Panpan
    Xie, Bingbo
    Huang, Xudong
    Qu, Bo
    FRONTIERS IN ENVIRONMENTAL SCIENCE, 2022, 10
  • [48] Comparison of Meteorological, Hydrological and Agricultural Drought Responses to Climate Change and Uncertainty Assessment
    Duan, Kai
    Mei, Yadong
    WATER RESOURCES MANAGEMENT, 2014, 28 (14) : 5039 - 5054
  • [49] Climate change impact projections at the catchment scale in Tunisia using the multi-model ensemble mean approach
    Moussa, Sihem
    Sellami, Haykel
    Mlayh, Ammar
    ARABIAN JOURNAL OF GEOSCIENCES, 2018, 11 (08)
  • [50] Climate change impact projections at the catchment scale in Tunisia using the multi-model ensemble mean approach
    Sihem Moussa
    Haykel Sellami
    Ammar Mlayh
    Arabian Journal of Geosciences, 2018, 11