Field surveying and numerical simulation of the Typhoon Hato storm surge event in Guangdong province, China
Abstract
In 2017, Typhoon Hato hitting Zhuhai city, Guangdong province, caused a severe storm surge disaster. In this study, a systematic field survey of the “Hato” storm surge was conducted and the numerical modeling of inundation extent and depth was performed. The survey integrated floating debris tracking, inundation tracing, and local inquiries to determine the seawater inundation edge points, water depths, and overall extent of the flooding. Combined with field reconnaissance, the mechanisms damaging typical hazard-bearing bodies during marine disasters were clarified, and the effects of the “Hato” storm surge were analyzed. Inundated areas were distributed in coastal cities, with the maximum inundation depth up to about 2 m, and the inundated area exceeding 54.08 km ² . Compared to historical storm surge records, Typhoon Hato ranked as the fourth most severe and stands as one of the most devastating storm surges to impact Guangdong province over the past decade. In addition, the proposed model can reproduce this typhoon and storm surge event, which was evaluated by comparing field observations with numerical simulations, showing good consistency with the observed flooding records. These results could provide detailed data and decision support, which can be used as guidance for the mitigation of future storm surges in coastal areas.
Versions
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BibTeX
@article{shi2026field,
title = {{Field surveying and numerical simulation of the Typhoon Hato storm surge event in Guangdong province, China}},
author = {Xianwu Shi and Qichao Chen and Haoxuan Du and Ning Jia and Jian Fang and Mingli Zhao and Shan Liu},
journal = {Natural Hazards and Earth System Sciences},
year = {2026},
month = nov,
doi = {10.5194/nhess-26-5559-2026},
url = {https://nhess.copernicus.org/articles/26/5559/2026/},
note = {CC BY 4.0},
}
RIS
TY - JOUR
TI - Field surveying and numerical simulation of the Typhoon Hato storm surge event in Guangdong province, China
AU - Xianwu Shi
AU - Qichao Chen
AU - Haoxuan Du
AU - Ning Jia
AU - Jian Fang
AU - Mingli Zhao
AU - Shan Liu
PY - 2026
DA - 2026/11/03
JO - Natural Hazards and Earth System Sciences
DO - 10.5194/nhess-26-5559-2026
UR - https://nhess.copernicus.org/articles/26/5559/2026/
AB - In 2017, Typhoon Hato hitting Zhuhai city, Guangdong province, caused a severe storm surge disaster. In this study, a systematic field survey of the “Hato” storm surge was conducted and the numerical modeling of inundation extent and depth was performed. The survey integrated floating debris tracking, inundation tracing, and local inquiries to determine the seawater inundation edge points, water depths, and overall extent of the flooding. Combined with field reconnaissance, the mechanisms damaging typical hazard-bearing bodies during marine disasters were clarified, and the effects of the “Hato” storm surge were analyzed. Inundated areas were distributed in coastal cities, with the maximum inundation depth up to about 2 m, and the inundated area exceeding 54.08 km ² . Compared to historical storm surge records, Typhoon Hato ranked as the fourth most severe and stands as one of the most devastating storm surges to impact Guangdong province over the past decade. In addition, the proposed model can reproduce this typhoon and storm surge event, which was evaluated by comparing field observations with numerical simulations, showing good consistency with the observed flooding records. These results could provide detailed data and decision support, which can be used as guidance for the mitigation of future storm surges in coastal areas.
SN - 1684-9981
ER -