Quantitative study of storm surge risk assessment in an undeveloped coastal area of China based on deep learning and geographic information system techniques: a case study of Double Moon Bay DOI Creative Commons

Lichen Yu,

Hao Qin,

Huang Shi-ning

et al.

Natural hazards and earth system sciences, Journal Year: 2024, Volume and Issue: 24(6), P. 2003 - 2024

Published: June 14, 2024

Abstract. Storm surges are a common natural hazard in China's southern coastal area which usually cause great loss of human life and financial damages. With the economic development population concentration cities, storm may result more impacts damage future. Therefore, it is vital importance to conduct risk assessment identify high-risk areas evaluate losses. However, quantitative study surge undeveloped China difficult, since there lack building character data. Aiming at problem data missing China, this paper proposes methodology for conducting quantitatively based on deep learning geographic information system (GIS) techniques. Five defined inundation scenarios with different typhoon return periods simulated by coupled FVCOM–SWAN (Finite Volume Coastal Ocean Model–Simulating WAves Nearshore) model, reliability validated using official measurements. Building footprints extracted through TransUNet model remote sensing images, while heights obtained unoccupied aerial vehicle (UAV) Subsequently, losses calculated combining adjusted depth–damage functions overlaying an analysis buildings exposed inundation. Zoning maps provided illustrate levels according The zoning can help government provide disaster prevention measures optimize land use planning thus reduce potential area.

Language: Английский

Understanding Drivers of Salinity and Temperature Dynamics in Barataria Estuary, Louisiana DOI
Kelin Hu, Ehab Meselhe, Denise J. Reed

et al.

Journal of Geophysical Research Oceans, Journal Year: 2023, Volume and Issue: 128(7)

Published: June 24, 2023

Abstract Barataria Estuary is an economically and ecologically important estuary in coastal Louisiana, USA. Due to rapid wetland loss, extreme Mississippi River flood drought events (e.g., the of 2019 2022), devastating storm Hurricane Ida 2021), eustatic sea‐level rise (SLR), high subsidence rates, human activities, temporal spatial variability salinity temperature highly complex. This study comprehensively investigates environmental drivers that govern dynamics, as well effects a proposed large‐scale, land‐building diversion water. A three‐dimensional (3D), process‐based hydrodynamic, transport model system formulated implemented. Three different modeling domains are set up for nested computations. The validated year 2018 against measurements water level, salinity, temperature. series numerical experiments then carried out quantitatively examine impacts various drivers, nearshore density stratification local baroclinic forcing. include wind, rainfall, freshwater point‐source diversion, SLR, discharge. Interestingly, analysis shows Mid‐Barataria rainfall can cause reduction annual 14 10 ppt, respectively. Neglecting effect could underestimate by 9 ppt. well‐mixed be adequately modeled using depth‐averaged models. However, capture proper stratification, it necessary use 3D models regional domain.

Language: Английский

Citations

11
The Analysis of Setting In Isaac Asimov’s “I, Robot” and “Foundation” DOI Creative Commons

Niyazova Xayatovna,

Ashurova Anvarovna

Pubmedia Social Sciences and Humanities, Journal Year: 2025, Volume and Issue: 2(3), P. 5 - 5

Published: Feb. 6, 2025

This article examines the setting features in two key works by Isaac Asimov “I, Robot” and “Foundation”. It explores how influences character development of central themes works, such as moral dilemmas, ethics artificial intelligence, problems civilization survival, role knowledge. In focus is on relationship humans robots within an already existing society, while Foundation large-scale galactic serves a backdrop for analyzing political historical processes.

Language: Английский

Citations

0
Development and Application of a Simplified Biophysical Model to Study Deltaic and Coastal Ecosystems DOI Creative Commons
Ahmed M. Khalifa, Ehab Meselhe, Kelin Hu

et al.

Estuarine Coastal and Shelf Science, Journal Year: 2024, Volume and Issue: 306, P. 108899 - 108899

Published: Aug. 1, 2024

Language: Английский

Citations

2
Assessment and Integration of ERA5 Reanalysis and Fujita−Takahashi Models for Storm Surge Prediction in the East China Sea DOI Creative Commons
Fanjun Chen, Zongyu Li, Kaixuan Ding

et al.

Applied Sciences, Journal Year: 2023, Volume and Issue: 13(19), P. 10658 - 10658

Published: Sept. 25, 2023

With global climate warming, the frequency and intensity of typhoons are increasing, highlighting significance studying storm surges for coastal engineering disaster mitigation. In this study, we assessed predictive capabilities new ERA5 reanalysis model traditional Fujita−Takahashi surges. We found that model, utilizing a prelandfall typhoon wind field, exhibited higher accuracy in surge predictions, while employing postlandfall demonstrated superior performance. By considering strengths weaknesses both field models analyzing impact Typhoon In-fa (2021) on East China Sea, determined influence heights along eastern region. These research findings provide valuable insights development effective protection strategies, offering references resilience planning.

Language: Английский

Citations

4
Quantitative study of storm surge risk assessment in an undeveloped coastal area of China based on deep learning and geographic information system techniques: a case study of Double Moon Bay DOI Creative Commons

Lichen Yu,

Hao Qin,

Huang Shi-ning

et al.

Natural hazards and earth system sciences, Journal Year: 2024, Volume and Issue: 24(6), P. 2003 - 2024

Published: June 14, 2024

Abstract. Storm surges are a common natural hazard in China's southern coastal area which usually cause great loss of human life and financial damages. With the economic development population concentration cities, storm may result more impacts damage future. Therefore, it is vital importance to conduct risk assessment identify high-risk areas evaluate losses. However, quantitative study surge undeveloped China difficult, since there lack building character data. Aiming at problem data missing China, this paper proposes methodology for conducting quantitatively based on deep learning geographic information system (GIS) techniques. Five defined inundation scenarios with different typhoon return periods simulated by coupled FVCOM–SWAN (Finite Volume Coastal Ocean Model–Simulating WAves Nearshore) model, reliability validated using official measurements. Building footprints extracted through TransUNet model remote sensing images, while heights obtained unoccupied aerial vehicle (UAV) Subsequently, losses calculated combining adjusted depth–damage functions overlaying an analysis buildings exposed inundation. Zoning maps provided illustrate levels according The zoning can help government provide disaster prevention measures optimize land use planning thus reduce potential area.

Language: Английский

Citations

1