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Quantitative assessment of drought in a lacustrine wetland based on a water balance model

Author

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  • Yong Yuan
  • Denghua Yan
  • Hao Wang
  • Qing Wang
  • Baisha Weng

Abstract

Upstream inflow decline and excessive water withdrawal are the major reasons for failure in maintaining ecological functions of wetlands and could lead to wetland drought and degradation. Quantitative evaluation of wetlands drought constitutes the basis for managing and scheduling water resources and guaranteeing biological safety. In the study, we proposed a Palmer wetland drought index (PWDI) based on the water balance model that describes wetland hydrological characteristics linked to its located basin to describe drought-reflected ecological characteristics in lacustrine Baiyangdian Wetland and compared it with Palmer drought severity index (PDSI). The results presented that PWDI is able to reflect the worst drought in history, and the drought is mainly affected by water stored in the wetland, but PDSI is inadequate for evaluating the wetland drought. The PWDI methodology provides a clear, objective approach for describing the intensity of drought and can be readily adapted to characterize drought on an operational basis. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Yong Yuan & Denghua Yan & Hao Wang & Qing Wang & Baisha Weng, 2014. "Quantitative assessment of drought in a lacustrine wetland based on a water balance model," 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. 70(1), pages 693-703, January.
    • Handle: RePEc:spr:nathaz:v:70:y:2014:i:1:p:693-703
    DOI: 10.1007/s11069-013-0838-0
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    Cited by:

    1. Peng Qi & Y. Jun Xu & Guodong Wang, 2020. "Quantifying the Individual Contributions of Climate Change, Dam Construction, and Land Use/Land Cover Change to Hydrological Drought in a Marshy River," Sustainability, MDPI, vol. 12(9), pages 1-16, May.

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