Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
6.8
3.3
Journals
Sustainability
Special Issues
Tsunami and Storm Surge Early Warning for Disaster Mitigation
sustainability-logo
Submit to Sustainability Review for Sustainability Propose a Special Issue

Journal Menu

► Journal Menu

Journal Browser

► Journal Browser
share announcement

Tsunami and Storm Surge Early Warning for Disaster Mitigation

A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Hazards and Sustainability".

Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 4269

Special Issue Editors

Dr. Yuchen Wang

E-Mail Website
Guest Editor
Japan Agency for Marine-Earth Science and Technology, Kanazawa, Yokohama 236-0001, Japan
Interests: tsunami early warning; tsunami resonance analysis
Dr. Hoiio Kong

E-Mail Website
Guest Editor
Faculty of Data Science, City University of Macau, Macau 999078, China
Interests: meteorology; climatology

Special Issue Information

Dear Colleagues,

A tsunami is a series of oceanic gravity waves generated by earthquakes, landslides, and volcanic eruptions. A storm surge is an abnormal rise in water generated by a storm, over and above the predicted astronomical tides. Both tsunamis and storm surges are natural disasters that result in flooding and damage to coastal regions. For example, the 2011 Tohoku tsunami of Japan killed thousands of people and caused serious damage to the nearby Fukushima Daiichi Nuclear Power Station. The storm surge brought by Hato Typhoon in 2017 caused severe flooding in several provinces along the Pearl River, China. The total damage was approximately USD 6.82 billion. Hence, a reliable early warning for tsunamis or storm surges is important for disaster mitigation.

Traditionally, tsunami early warning systems are based on source inversion using seismic parameters; recently, however, several tsunami early warning methods that do not consider the seismic source have been proposed. These storm surge early warning systems are mainly based on bathymetric data, storm track, central atmospheric pressure, and maximum wind speed.

The purpose of this Special Issue is to publish the latest research on tsunami and surge storm early warning systems. Original research articles and reviews are both welcome. Research areas may include, but are not limited to, the following:

  • Tsunami-generating mechanism;
  • Hurricane, typhoon, and tropical cyclone activity;
  • Offshore tsunami and storm surge observations;
  • Tsunami source inversion and data assimilation;
  • Numerical simulation model of tsunami and storm surge;
  • Coastal planning, emergency preparedness, risk assessment;
  • Probability forecasts of storm surge;
  • Application of deep learning in early warning systems.

 We look forward to receiving your contributions.

Dr. Yuchen Wang
Dr. Hoiio Kong
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • tsunami-generating mechanism
  • hurricane, typhoon, and tropical cyclone activity
  • offshore tsunami and storm surge observations
  • tsunami source inversion and data assimilation
  • numerical simulation model of tsunami and storm surge
  • coastal planning, emergency preparedness, risk assessment
  • probability forecasts of storm surge
  • application of deep learning in early warning

Published Papers (2 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

16 pages, 15007 KiB  
Article
Numerical Simulation of Storm Surge Inundation in Estuarine Area Considering Multiple Influencing Factors
by Cifu Fu, Qiuxing Liu, Yi Gao, Haijin Cao and Sendong Liang
Sustainability 2024, 16(6), 2274; https://doi.org/10.3390/su16062274 - 8 Mar 2024
Cited by 1 | Viewed by 749
Abstract
With global climate change, the risk of extreme storms and storm surges in estuarine areas is increasing; thus, storm surge inundation research and prediction have become important issues to ensure sustainable development in estuarine areas. The Jitimen estuary in Guangdong Province, China, was [...] Read more.
With global climate change, the risk of extreme storms and storm surges in estuarine areas is increasing; thus, storm surge inundation research and prediction have become important issues to ensure sustainable development in estuarine areas. The Jitimen estuary in Guangdong Province, China, was chosen as our study area. In this study, a numerical model for simulating storm surge inundation in small regions based on unstructured triangular grids was established, and the model accuracy was validated. The typhoon characteristics in the study area were statistically analyzed based on historical data. Three experimental schemes, involving factors influencing storm surge inundation, such as typhoon landfall location, intensity, and direction, were used to evaluate the differences in the numerical results. The results showed that when the typhoon landfall direction remained unchanged and the highest tide levels at the Sanzao tide gauge station were similar, the differences between the numerical results for the typhoon landfall location and typhoon intensity schemes were less than 5%, and the inundation characteristics were similar. However, when the typhoon location and intensity were unchanged and the highest tide levels at the Sanzao tide gauge station were similar, the numerical results for the typhoon landfall direction scheme significantly differed; this result was caused by the difference in the duration of the high tide level (exceeding 3 m); these results indicated that the topographic characteristics and the typhoon landing direction had a greater impact on storm surge inundation. The results from this study can aid in the prediction of storm surge inundation information for the Jitimen estuary area when the typhoon landing direction and the maximum tide level are known. Full article
(This article belongs to the Special Issue Tsunami and Storm Surge Early Warning for Disaster Mitigation)
►▼ Show Figures

Figure 1

14 pages, 9684 KiB  
Article
Investigation of Local Tsunami Effect on Coastal Areas: A Case Study of Putian City, Fujian Province, China
by Tingting Fan, Jingming Hou, Zhiguo Xu, Yuchen Wang, Lianda Zhao, Yi Gao and Peitao Wang
Sustainability 2023, 15(1), 415; https://doi.org/10.3390/su15010415 - 27 Dec 2022
Cited by 3 | Viewed by 2078
Abstract
In this paper, we explored the local tsunami hazards induced by an active local seismic Quanzhou fault, along the coastlines of the City of Putian, Fujian Province, in the southeast of China. The simulation results indicated that the tsunami wave will hit the [...] Read more.
In this paper, we explored the local tsunami hazards induced by an active local seismic Quanzhou fault, along the coastlines of the City of Putian, Fujian Province, in the southeast of China. The simulation results indicated that the tsunami wave will hit the nearest coast of Putian 0.5 h after the earthquake occurs. The most serious tsunami inundation depth in Putian was less than 3.0 m. This study also conducted a sensitivity test of the tsunami amplitude and inundation in response to different seismic source parameters, particularly the rake and strike angles of the Quanzhou fault. Based on the post-earthquake survey and the most updated geophysical data, the uniform dislocation distribution is applied in the range of scientific geometrical characteristic parameters for numerical modeling. A 20° change in the rake angle increases the inundation area from 50.0 km2 to more than 100.0 km2, and increases the tsunami amplitude from 0.2 m to 1.0 m. In this study, the tsunami hazard of Putian is more sensitive to the rake than to the strike angle for a local fault. Tsunamis generated by seismic fault could also result in serious coastal flooding along the coastlines locally, and the time for emergency response is limited. The research results could provide technical support for refining local tsunami hazard assessment and contingency plans, to save decision-making time and avoid waste of social resources. Full article
(This article belongs to the Special Issue Tsunami and Storm Surge Early Warning for Disaster Mitigation)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-2
Back to TopTop