Articles | Volume 30, issue 10
https://doi.org/10.5194/hess-30-2931-2026
https://doi.org/10.5194/hess-30-2931-2026
Research article
 | 
18 May 2026
Research article |  | 18 May 2026

Regionalization of IDF curves for mainland China: a comparative evaluation of machine learning versus spatial interpolation techniques

Yuantian Jiang, Wenting Wang, Andrew T. Fullhart, Bofu Yu, and Bo Chen

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Cited articles

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Short summary
Intensity-Duration-Frequency (IDF) curves is important for designing infrastructure that can withstand floods. We compared traditional interpolation methods with machine learning to map these curves across mainland China. ML using widely available daily gridded data can estimate sub-daily intensity as accurately as methods needing rarer hourly site data. This study provides a valuable understanding for IDF in data-limited regions and generates a new IDF dataset for mainland China.
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