Hydrological characteristic-based methodology for dividing flood seasons: an empirical analysis from China
A hydrological characteristic -based methodology for dividing flood seasons into sub-seasons is proposed to make full use of a reservoir’s flood control storage during the flood season via multi-stage flood-limited water levels. The proposed framework is mainly composed of three parts: the selection of indices depicting flood seasonality, the establishment of segmentation methods that can address clustering problems with high-dimensional time series and unknown numbers of clusters, and multi-scheme comparison and rationality analysis. The reasonability and validity of the proposed framework is illustrated through an empirical case study of China’s Panjiakou Reservoir basin. The results indicated that the dynamic fuzzy c-means method with clustering validity function provided more objective and quantitative divisions than other methods, including the Fisher optimal partition. The flood season of the Panjiakou Reservoir basin (June 1–September 30) is divided into three sub-seasons according to the principle of optimal clustering: a pre-flood season (June 1–July 10), a main flood season (July 11–August 20), and a post-flood season(August 21–September 30).
KeywordsFloodwater utilization Flood season division Fuzzy c-means clustering Fisher optimal partition Flood-limited water level
The authors would like to thank the Haihe River Water Conservancy Commission of Ministry of Water Resources of China for providing the original data. This study was financially supported by the National Key Research and Development Program of China (no. 2017YFC0403504) and the National Natural Science Foundation of China under Grants nos. 51479119 and 51579064. The authors would also like to thank the editor and the anonymous reviewers for their valuable comments, which significantly improved the quality of this article.
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Conflict of interest
Some of the data used in this paper are non-public and can be requested from the corresponding author via email.
- Galelli S, Goedbloed A, Schwanenberg D, van Overloop P-J (2014) Optimal real-time operation of multipurpose urban reservoirs: case study in Singapore. J Water Resour Plan Manag 140:511–523. https://doi.org/10.1061/(ASCE)WR.1943-5452.0000342 CrossRefGoogle Scholar
- Richter S, Völker J, Borchardt D, Mohaupt V (2013) The water framework directive as an approach for integrated water resources management: results from the experiences in Germany on implementation, and future perspectives. Environ Earth Sci 69:719–728. https://doi.org/10.1007/s12665-013-2399-7 CrossRefGoogle Scholar