Articles | Volume 29, issue 11
https://doi.org/10.5194/hess-29-2429-2025
https://doi.org/10.5194/hess-29-2429-2025
Research article
 | 
11 Jun 2025
Research article |  | 11 Jun 2025

An extension of the logistic function to account for nonstationary drought losses

Tongtiegang Zhao, Zecong Chen, Yongyong Zhang, Bingyao Zhang, and Yu Li

Data sets

SPEIbase v.2.10 [dataset]: A comprehensive tool for global drought analysis Beguería et al. https://doi.org/10.20350/digitalCSIC/16497

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Short summary
The classic logistic function characterizes the stationary relationship between drought loss and intensity. This paper accounts for time in the magnitude, shape and location parameters of the logistic function and derives nonstationary intensity loss functions. A case study is designed to test the functions for drought-affected populations by province in mainland China from 2006 to 2023. Overall, the nonstationary intensity loss functions are shown to be a useful tool for drought management.
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