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Drought Risk Assessment and Estimation in Vulnerable Eco-Regions of China: Under the Background of Climate Change

Author

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  • Jieming Chou

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Tian Xian

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China
    Joint Center for Global Change Studies, Beijing 100875, China)

  • Runze Zhao

    (Joint Center for Global Change Studies, Beijing 100875, China)

  • Yuan Xu

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Fan Yang

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

  • Mingyang Sun

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China)

Abstract

Drought risk analysis can help improve disaster management techniques, thereby reducing potential drought risk under the impacts of climate change. This study analyses observed and model-simulated spatial patterns of changes in drought risk in vulnerable eco-regions in China during 1988–2017 and 2020–2050 using an analytic hierarchy process (AHP) method. To perform a risk assessment and estimation of a drought disaster, three subsystems—namely hazard, vulnerability and exposure—are assessed in terms of the effects of climate change since the middle of the 21st century: (i) Hazards, represented by climate anomalies related to the drought process, such as changes in rainfall averages, temperature averages and evaporation averages; (ii) vulnerability, encompassing land use and mutual transposition between them; (iii) exposure, consisting of socioeconomic, demographic, and farming. The results demonstrated that high hazards continue to be located in the arid zone, high vulnerability levels occur in the Junggar Basin and Inner Mongolia Plateau, and high exposure levels occur Loess Plateau and southern coastal area. In this way, the results provide exhaustive measures for proactive drought risk management and mitigation strategies.

Suggested Citation

  • Jieming Chou & Tian Xian & Runze Zhao & Yuan Xu & Fan Yang & Mingyang Sun, 2019. "Drought Risk Assessment and Estimation in Vulnerable Eco-Regions of China: Under the Background of Climate Change," Sustainability, MDPI, vol. 11(16), pages 1-14, August.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:16:p:4463-:d:258655
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    References listed on IDEAS

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    1. K. Jenkins, 2013. "Indirect economic losses of drought under future projections of climate change: a case study for Spain," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 69(3), pages 1967-1986, December.
    2. Hong Wu & Donald Wilhite, 2004. "An Operational Agricultural Drought Risk Assessment Model for Nebraska, USA," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 33(1), pages 1-21, September.
    3. Oleg Smirnov & Minghua Zhang & Tingyin Xiao & John Orbell & Amy Lobben & Josef Gordon, 2016. "The relative importance of climate change and population growth for exposure to future extreme droughts," Climatic Change, Springer, vol. 138(1), pages 41-53, September.
    4. Xiaojing Liu & Jiquan Zhang & Donglai Ma & Yulong Bao & Zhijun Tong & Xingpeng Liu, 2013. "Dynamic risk assessment of drought disaster for maize based on integrating multi-sources data in the region of the northwest of Liaoning Province, China," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(3), pages 1393-1409, February.
    5. Neil Adger, W., 1999. "Social Vulnerability to Climate Change and Extremes in Coastal Vietnam," World Development, Elsevier, vol. 27(2), pages 249-269, February.
    6. Richard H. Moss & Jae A. Edmonds & Kathy A. Hibbard & Martin R. Manning & Steven K. Rose & Detlef P. van Vuuren & Timothy R. Carter & Seita Emori & Mikiko Kainuma & Tom Kram & Gerald A. Meehl & John F, 2010. "The next generation of scenarios for climate change research and assessment," Nature, Nature, vol. 463(7282), pages 747-756, February.
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    7. Qin Ji & Jianping Yang & Can Wang & Hongju Chen & Qingshan He & Zhenqi Sun & Quntao Duan & Yao Li, 2021. "The Risk of the Population in a Changing Climate over the Tibetan Plateau, China: Integrating Hazard, Population Exposure and Vulnerability," Sustainability, MDPI, vol. 13(7), pages 1-20, March.
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