Article
Engineering, Environmental
Xianwu Shi, Bingrui Chen, Yingyu Liang, Bei Zhang, Tao Ye
Summary: China is severely affected by storm surge disasters, and in this study, Zhoushan City in Zhejiang Province was selected as a representative case. A high-precision storm surge numerical model was established, and historical observation data were used to calculate extreme tidal levels probability distribution curves, providing a scientific basis for calculating storm surge inundation.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Engineering, Civil
Shaoyu Shi, Bo Yang, Wensheng Jiang
Summary: This study examined the impact of compound flooding in coastal cities by coupling a one-dimensional hydrological model with a two-dimensional hydrodynamic model. The results showed that drainage systems enhance connectivity between land and sea, leading to faster flooding and draining. Additionally, high storm surge levels reduce drainage efficiency during rain, causing more severe flooding hazards.
COASTAL ENGINEERING
(2022)
Article
Engineering, Civil
Pin-Chun Huang
Summary: This study establishes a new methodology for effectively predicting coastal flooding by combining detailed analysis of different hydrological and geomorphological factors with recurrent neural network (RNN) models. The method utilizes machine learning techniques to explore the relationship between downstream topography, tidal level, rainfall intensity, and spatial distribution of flooding in coastal areas, aiming to improve prediction efficiency and stability.
JOURNAL OF HYDROLOGY
(2022)
Article
Biodiversity Conservation
Aysha Akter, Ahammed Dayem
Summary: This study utilized a GIS-based risk model to analyze storm surge wave heights in Cox's Bazar Sadar Upazilla in Bangladesh. It found that future inundation depth conditions may result in an increase in high-risk areas.
JOURNAL OF COASTAL CONSERVATION
(2021)
Article
Geosciences, Multidisciplinary
Dirk Eilander, Anais Couasnon, Tim Leijnse, Hiroaki Ikeuchi, Dai Yamazaki, Sanne Muis, Job Dullaart, Arjen Haag, Hessel C. Winsemius, Philip J. Ward
Summary: Coastal river deltas are vulnerable to flooding from various factors. The co-occurrence of multiple flood drivers can worsen the impacts. Existing global flood models do not consider compound flooding, and local-scale models are difficult to scale up. This study develops a globally applicable framework for compound flood hazard modeling, incorporating interactions between all drivers. The framework performs well in simulating historical compound flood events and provides insights into dominant flood drivers and transition zones. This study emphasizes the importance of understanding compound flood interactions for flood adaptation and preparedness.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2023)
Article
Engineering, Civil
Ehsan Fereshtehnejad, Ioannis Gidaris, Nathanael Rosenheim, Tori Tomiczek, Jamie E. Padgett, Daniel T. Cox, Shannon Van Zandt, Walter Gillis Peacock
Summary: This paper introduces a novel framework for probabilistic risk assessment of coupled natural-physical-social systems exposed to coastal storms. The framework considers coupling among built and social systems, sources of uncertainties, and new hybrid risk metrics. Through a case study, it provides a foundation for risk-informed decision-making to enhance coastal community resilience.
NATURAL HAZARDS REVIEW
(2021)
Article
Engineering, Marine
Xiaoxia Zhang, Pengzhi Lin, Xinping Chen
Summary: Mangroves play a significant role in providing coastal protection, as demonstrated in a study conducted in Shanwei, Guangdong Province, China, where a planted mangrove forest was found to reduce wave height by 77% during a typhoon. The study concludes that a six-year-old mangrove forest with a width of around 100 meters can effectively withstand the impact of a super typhoon and offer substantial protection for fish ponds and embankments. No major damage was observed, although some defoliation occurred in certain areas within the mangrove forest.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Article
Engineering, Environmental
Shi Xianwu, Chen Bingrui, Qiu Jufei, Kang Xing, Ye Tao
Summary: This study introduces a method for calculating the range and depth of inundation caused by probable maximum storm surges, using a numerical storm surge model and historical records. The method was validated in the Fengxian District of Shanghai, showing severe flooding impacts with maximum depths exceeding 3 meters. The proposed method can serve as an effective tool for decision making in storm surge risk reduction practices in various coastal areas.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
(2021)
Article
Geosciences, Multidisciplinary
Mattia Amadio, Arthur H. Essenfelder, Stefano Bagli, Sepehr Marzi, Paolo Mazzoli, Jaroslav Mysiak, Stephen Roberts
Summary: The combined effect of global sea level rise and land subsidence poses a major threat to coastal settlements, particularly in vulnerable areas such as the low-lying coastal plain of the North Adriatic coast in Italy. This study assesses flood hazard and risk using hydrodynamic inundation modeling, and evaluates the economic damage and benefits of renovation projects through cost-benefit analysis. The findings demonstrate the profitability of the projects in reducing the potential economic losses associated with intense flooding scenarios.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2022)
Article
Engineering, Mechanical
Bingchuan Nie, Qingyong Wuxi, Jiachun Li, Feng Xu
Summary: The study demonstrates the impact of climate change on storm tide inundation in Southeast China coast. Results show that high sea surface elevations tend to occur in bays and estuaries. The maximal sea surface elevations increase significantly when non-stationary extreme wind speed and sea level rise are taken into account. The potential inundation area expands by 108% in scenario S4 compared to scenario S2.
ACTA MECHANICA SINICA
(2021)
Article
Engineering, Marine
Gangri Qin, Zhen Fang, Shuyu Zhao, Yanjiahui Meng, Weiwei Sun, Gang Yang, Lihua Wang, Tian Feng
Summary: In this study, a framework was developed using the Regional Ocean Modeling System (ROMS) to simulate the inundation of land in Ningbo, China during an extreme typhoon storm surge. The results revealed that typhoon storm surges are significantly affected by both the intensities and tracks of typhoons, and the location of the impacted region within the typhoon's wind field plays a critical role in determining the severity of the storm surge. These findings provide valuable suggestions for storm surge disaster prevention and mitigation for local governments.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2023)
Article
Geosciences, Multidisciplinary
Md Arifur Rahman, Yu Zhang, Lixin Lu, Saeed Moghimi, Kelin Hu, Ali Abdolali
Summary: This study evaluates two sets of wind/pressure fields for Hurricane Florence and compares their impact on storm surge prediction. The findings show that wind fields from HWRF are more accurate overall, but have limitations in resolving high wind speeds near the center. Additionally, HWRF wind fields exhibit a progressively negative bias after landfall. Despite these limitations, using HWRF reanalysis yields more accurate peak surges simulations.
Article
Environmental Sciences
Yu-Lin Tsai, Tso-Ren Wu, Eric Yen, Chuan-Yao Lin, Simon C. Lin
Summary: This study presents a numerical tool for calculating storm surges, validates the model with measured data, and showcases the results and impact of storm surges through a case study. The study aims to provide a convenient and efficient numerical tool for forecasting and disaster assessment under potential severe tropical storms with climate change.
Article
Environmental Studies
Paulette E. Posen, Claire Beraud, Cherry Harper Jones, Emmanouil Tyllianakis, Andre Joseph-Witzig, Aria St Louis
Summary: Coastal areas of Grenada in the south-eastern Caribbean are highly susceptible to the negative impacts of climate change, including powerful hurricanes, sea-level rise, and reef degradation. A comprehensive vulnerability assessment using wave/storm surge models and high-resolution LiDAR data was conducted to evaluate coastal inundation under different storm and sea-level rise scenarios. This integrated approach provided insights into the impact on natural features, land use, and critical infrastructure, with predictions of increased inundation and potential disruption to major coastal infrastructure in all scenarios.
Article
Multidisciplinary Sciences
Michael Getachew Tadesse, Thomas Wahl
Summary: Storm surges are one of the deadliest coastal hazards, and understanding their impact is crucial. By using data-driven modeling and climate reconstruction, valuable information for future preparation and robust extreme value analysis can be provided.