Spatiotemporal organization and climatic modulation of anomalous precipitation in the Huaihe River Basin (1961–2019)
Study Region The Huaihe River Basin (HRB) is a flood-prone monsoon basin in eastern China, where anomalous precipitation events frequently trigger severe flooding and pose major challenges for basin-scale flood management. Study Focus Previous index-based analyses mainly characterize long-term precipitation variability but provide limited insight into event-level Spatiotemporal organization. This study conducts an event-level analysis of anomalous precipitation in the HRB using a high-resolution daily precipitation dataset (1 km) spanning 1961–2019. A lightweight encoder–decoder model is developed to detect anomalous precipitation days, followed by qualitative and quantitative analyses to characterize spatial patterns and assess climatic modulation. New Hydrological Insights for the Region A total of 543 anomalous precipitation days are identified and classified into six distinct spatial patterns with contrasting seasonal characteristics, such as the West-type (30.8%, June–August) and the Southeast-type (8.5%, July–September). Significant inter-pattern correlations reveal spatial co-occurrence and compensation effects that may influence basin-wide flood risk distribution. A pronounced absence of anomalous events between mid-August and October during 1983–1998 indicates decadal-scale climatic modulation. Probability-based analysis further demonstrates that variations in the Western North Pacific Subtropical High (WNPSH) and the East Asian Jet (EAJ) substantially alter event likelihoods; for the Southeast-type, a westward-extending WNPSH and a southward-shifted EAJ increase occurrence probability by approximately 36% and 43%, respectively. These findings provide new event-scale hydrological insights and support climate-informed flood risk management in the HRB.
Authors
- Biao Long (ORCID: https://orcid.org/0000-0002-2935-6209)
- Chuanqiao Zhou (ORCID: https://orcid.org/0000-0001-9924-175X)
- J B Zhang
- Jingkai Xie (ORCID: https://orcid.org/0000-0001-5396-6456)
- Li Li (ORCID: https://orcid.org/0009-0003-4636-9487)
- Xiao Liu
- Cong Wei
- Wenpeng Zhao (ORCID: https://orcid.org/0000-0002-4850-2291)
- Abhishek
- Li Zhou
- Shuping Ma
- Hongyuan Fang
- Xiaoguang Xu
Institutions
- China Meteorological Administration (CN)
- Nanjing Normal University (CN)
- Indian Institute of Technology Roorkee (IN)
- Hohai University (CN)
- Chinese Academy of Sciences (CN)
- Kyoto University (JP)
- Sichuan University (CN)
- Kyoto College of Graduate Studies for Informatics (JP)
- Northwest Institute of Eco-Environment and Resources (CN)
- Hebei Meteorological Bureau (CN)
- Nanjing Hydraulic Research Institute (CN)
- State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering (CN)
- Institute of Atmospheric Physics (CN)
- Yangzhou University (CN)
Publication Details
- Journal
- Journal of Hydrology Regional Studies
- Published
- 2026-05-27
- DOI
- https://doi.org/10.1016/j.ejrh.2026.103579
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China