Spatial patterns of typhoon rainfall and associated flood characteristics over a mountainous watershed of a tropical island

•A quantitative classification of watershed rainfall spatial pattern is proposed.•The rainfall spatial patterns can be well explained by terrain and synoptic fields.•Each rainfall spatial pattern is dominated by 1–2 types of hourly rainfall fields.•The flood characteristics corresponding to rainfall...

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Published in:Journal of hydrology (Amsterdam) Vol. 613; p. 128421
Main Authors: Chen, Lingfang, Chen, Yangbo, Zhang, Yueyuan, Xu, Shichao
Format: Journal Article
Language:English
Published: Elsevier B.V 01.10.2022
Subjects:
China
data collection
Flood characteristics
hurricanes
hydrology
K-means++ clustering method
Mountainous watershed
mountains
rain
seasonal variation
Typhoon rainfall
typhoons
watersheds
wind
China
Typhoon rainfall
Mountainous watershed
Flood characteristics
K-means++ clustering method
ISSN:0022-1694, 1879-2707
Online Access:Get full text
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Summary:•A quantitative classification of watershed rainfall spatial pattern is proposed.•The rainfall spatial patterns can be well explained by terrain and synoptic fields.•Each rainfall spatial pattern is dominated by 1–2 types of hourly rainfall fields.•The flood characteristics corresponding to rainfall spatial patterns are derived. The spatial distribution of rainfall in a watershed has an important impact on flood warning and forecasting. In this study, we used the K-means++ clustering method to classify the spatial characteristics of typhoon rainfall events in the Songtao reservoir watershed in the central region of Hainan Island, based on 63 typhoon rainfall event data from 1990 to 2020. Then, the relationship between the synoptic fields, spatial patterns of rainfall, and flood characteristics was explained based on tropical cyclone best-track datasets, atmospheric reanalysis data, and inflow flood series. The results showed that there are three types of cumulative rainfall patterns in the Songtao Reservoir watershed. The heavy rainfall region of pattern 1 is concentrated east of the watershed, whereas the heavy rainfall regions of pattern 2 are mainly concentrated southwest and east of the watersheds of many mountains. The heavy rainfall region of pattern 3, with a southwest-northeast orientation, is located on the west side of the watershed. The spatial coefficient of variation and index of rainfall location clearly distinguished among these three patterns. The composite analysis of typhoon tracks, wind fields, and moisture flux fields can be used to interpret the formation mechanism of these spatial patterns of rainfall events in the watershed. The spatial patterns of cumulative rainfall for each type were dominated by one or two types of hourly spatial rainfall patterns. Flood events resulting from cumulative rainfall patterns 1 and 2 have similar flood behavior metrics. Large floods in the watershed show an obvious seasonal variation, and the corresponding rainfall events mostly show the spatial characteristics of the cumulative rainfall pattern 3. These results can enhance the understanding of the linkage between typhoons, mountainous watershed rainfall, and flooding processes.
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ISSN:0022-1694
1879-2707
DOI:10.1016/j.jhydrol.2022.128421