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An analysis of the drought in Yunnan, China, from a perspective of society drought severity

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  • Jiajin Wang
  • Yaobin Meng

Abstract

Drought disaster management entails not only understanding meteorological drought as a natural hazard but also evaluating the adverse societal impacts related to the economy and human lives. For the purpose of quantifying the drought severity from the perspective of society drought, a drought index, namely “Society Drought Severity Index” (SDSI), was put forward to analyze the drought in Yunnan Province of China. In SDSI for Yunnan, the drought severity was represented by the weighted discrepancy between the “appropriate” water needs and the total available water resources, inspired by the established Palmer Drought Severity Index (PDSI). Technically, the trend in historical water consumption records in agricultural, industrial, and domestic sectors was applied to represent the appropriate water needs; an apparent “runoff” was used to represent the available water resource in Yunnan. The SDSI of Yunnan revealed a trend toward increasing drought severity, which resulted from a combination of meteorological changes and water needs escalation. Moreover, the spatial center of the 2010 drought in Yunnan based on SDSI was different from that identified by PDSI, which exactly reflected the influence of water needs on drought severity. The SDSI was deemed to be a beneficial tool for drought disaster management and drought risk governance. Copyright Springer Science+Business Media Dordrecht 2013

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  • Jiajin Wang & Yaobin Meng, 2013. "An analysis of the drought in Yunnan, China, from a perspective of society drought severity," 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. 67(2), pages 431-458, June.
    • Handle: RePEc:spr:nathaz:v:67:y:2013:i:2:p:431-458
    DOI: 10.1007/s11069-013-0572-7
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    1. N/A, 2004. "Index for 2004," European Union Politics, , vol. 5(4), pages 511-512, December.
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    1. Chujie Gao & Haishan Chen & Shanlei Sun & Victor Ongoma & Wenjian Hua & Hedi Ma & Bei Xu & Yang Li, 2018. "A potential predictor of multi-season droughts in Southwest China: soil moisture and its memory," 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. 91(2), pages 553-566, March.
    2. Yuanhe Yu & Jinliang Wang & Feng Cheng & Huan Deng & Sheng Chen, 2020. "Drought monitoring in Yunnan Province based on a TRMM precipitation product," 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. 104(3), pages 2369-2387, December.
    3. Wang, Y. & Huang, J., 2018. "Do forests relieve crop thirst in the face of drought? Empirical evidence from South China," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 276959, International Association of Agricultural Economists.
    4. Dan Yan & Mingtian Yao & Fulco Ludwig & Pavel Kabat & He Qing Huang & Ronald W. A. Hutjes & Saskia E. Werners, 2018. "Exploring Future Water Shortage for Large River Basins under Different Water Allocation Strategies," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(9), pages 3071-3086, July.
    5. Raissa Zurli Bittencourt Bravo & Ana Paula Martins do Amaral Cunha & Adriana Leiras & Fernando Luiz Cyrino Oliveira, 2021. "A new approach for a drought composite index," 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. 108(1), pages 755-773, August.
    6. Raissa Zurli Bittencourt Bravo & Adriana Leiras & Fernando Luiz Cyrino Oliveira & Ana Paula Martins do Amaral Cunha, 2023. "DRAI: a risk-based drought monitoring and alerting system in Brazil," 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. 117(1), pages 113-142, May.
    7. Zhang, Yu & Hao, Zengchao & Feng, Sifang & Zhang, Xuan & Xu, Yang & Hao, Fanghua, 2021. "Agricultural drought prediction in China based on drought propagation and large-scale drivers," Agricultural Water Management, Elsevier, vol. 255(C).

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