Abstract

The variability of storm surge poses a significant threat to coastal areas. A new metric named Accumulated Storm surge Potential Impact (ASPI) is proposed based on a new intensity parameter that removes other components from storm surge-induced water level rise. This new metric quantifies storm surge threat by combining frequency and intensity. The results show that storm surge threat has increased since the late 1990s due to greater general storm surges. The extreme storm surge threat did not follow the increasing trend until the mid-2000s. Different regional distribution patterns are found along this coast. The storm surge threat exhibited a -++ zonal tripole pattern, the negative phase was along the north coastline of Hangzhou Gulf and the positive phase was from the center to southern coast area of Zhejiang province and along the eastern coast area of Leizhou Peninsula. Long-term storm surge threats change spatial distribution pattern in three periods. More precarious threats from the center to southern coast areas of Zhejiang province illustrated a poleward shift of storm surge threats consistent with the trend of long-term tropical cyclone landfall. Meanwhile, the strong threat along the eastern coast line of Leizhou Peninsula was sustained from 1960 to 1995, then became weaker from 1996 to 2015. The evolution pattern of storm surge threat along the southeastern coastline of China could be applied for coastal adaptation research under climate change scenarios.

Highlights

  • The annual-sum Accumulated Storm surge Potential Impact (ASPI) reached the highest level in history in the mid-1970s

  • We proposed a new in metric for quantifying storm surge impact, slight decreasing trend of TC landfall the western and southwestern coastalpotential areas of the is designed as a diagnostic tool to analyze the to distribution of long-term there is a slight increasing trend from the center the southernpatterns coastal area of the Eaststorm surge threat

  • TC landfall position is the main factor affects the range of levels

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Summary

Introduction

The uncertainties in intensity index calculation methods [10,16,19], length of recorded time series [20,21] and density of tide-gauge stations [6,18,22] may lead to inaccurate results for analyses of storm surge spatiotemporal evolution patterns. Based on the observed tide data during the TC landfall period, we calculated a different intensity parameter, named the anomaly nontidal impact level, to represent the extent of storm surge impact. Because of the higher density of tide-gauge records in present work, the spatial distribution of storm surge threat exhibited similar characteristics with the former studies and showed some discrepancies on particular areas along the southeastern coast line of China. Comprehensive analysis of the evolution of storm surge threat in the context of climate change can provide important information to emergency managers and policy makers

Data and Methodology
Tide-Gauge Data and TC Best Tracks Dataset
Anomaly Nontidal Impact Level
Variability of Storm Surge Potential Impact
Spatial Distribution of Storm Surge Potential Impact
Conclusion
Full Text
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