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Global map of a comprehensive drought/flood index and analysis of controlling environmental factors

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  • Jianzhuang Pang

    (Beijing Forestry University
    Beijing Forestry University)

  • Huilan Zhang

    (Beijing Forestry University
    Beijing Forestry University)

Abstract

Developing an index that can assess the marked changes in water resources is necessary for drought/flood hazard prevention and water resource planning, particularly in the context of global climate change and intensified human activities. In this study, spatiotemporal variations of water resources variables, namely precipitation (P), evapotranspiration (ET), and runoff (R), regarded as water input, output, and storage, respectively, were systematically statistically analyzed. Following this, a comprehensive Copula-based Drought/Flood Index (CDFI) was constructed to identify the drought/flood hazards, and machine learning and game theory were then successively applied to quantify the influence of the Large-scale Climate Indices (LCIs) on drought/flood intensity. The results reveal that temporally, P, ET, and R present similar turning-point years in the 1990s, with values changing from significantly decreasing to insignificantly decreasing, significantly increasing, and insignificantly decreasing, respectively. Spatially, the water resources become drier in the arid area and wetter in the humid area. The CDFI results demonstrate an increased flood probability in the mountains and near-polar rivers, and drought in extremely arid areas. Moreover, the influencing factors of CDFI exhibited notable spatial heterogeneity. CDFI is controlled by the Arctic Oscillation in most regions of the world, and the influence of sea surface temperature on CDFI increases gradually with the decrease of latitude, and extreme events are generally linked to extreme LCIs. Notably, vegetation change (area, type, and growth) affects ET and R, thus enhancing the climate’s impact on drought/flood hazards. The conclusions provide an essential basis for the identification and policy planning of drought/flood hazards caused by the spatiotemporal variations of water resource variables.

Suggested Citation

  • Jianzhuang Pang & Huilan Zhang, 2023. "Global map of a comprehensive drought/flood index and analysis of controlling environmental factors," 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. 116(1), pages 267-293, March.
    • Handle: RePEc:spr:nathaz:v:116:y:2023:i:1:d:10.1007_s11069-022-05673-5
    DOI: 10.1007/s11069-022-05673-5
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    1. Nisa Anil & M. R. Ramesh Kumar & R. Sajeev & P. K. Saji, 2016. "Role of distinct flavours of IOD events on Indian summer monsoon," 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. 82(2), pages 1317-1326, June.
    2. Starke, Allan R. & Lemos, Leonardo F.L. & Barni, Cristian M. & Machado, Rubinei D. & Cardemil, José M. & Boland, John & Colle, Sergio, 2021. "Assessing one-minute diffuse fraction models based on worldwide climate features," Renewable Energy, Elsevier, vol. 177(C), pages 700-714.
    3. Every, Jeremy P. & Li, Li & Dorrell, David G., 2020. "Köppen-Geiger climate classification adjustment of the BRL diffuse irradiation model for Australian locations," Renewable Energy, Elsevier, vol. 147(P1), pages 2453-2469.
    4. N. W. Arnell & J. A. Lowe & S. Brown & S. N. Gosling & P. Gottschalk & J. Hinkel & B. Lloyd-Hughes & R. J. Nicholls & T. J. Osborn & T. M. Osborne & G. A. Rose & P. Smith & R. F. Warren, 2013. "A global assessment of the effects of climate policy on the impacts of climate change," Nature Climate Change, Nature, vol. 3(5), pages 512-519, May.
    5. Shijin Wang & Yanqiang Wei, 2019. "Water resource system risk and adaptive management of the Chinese Heihe River Basin in Asian arid areas," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 24(7), pages 1271-1292, October.
    6. Xiaqing Feng & Guangxin Zhang & Xiongrui Yin, 2011. "Hydrological Responses to Climate Change in Nenjiang River Basin, Northeastern China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(2), pages 677-689, January.
    7. Hideo Shiogama & Seita Emori & Naota Hanasaki & Manabu Abe & Yuji Masutomi & Kiyoshi Takahashi & Toru Nozawa, 2011. "Observational constraints indicate risk of drying in the Amazon basin," Nature Communications, Nature, vol. 2(1), pages 1-7, September.
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