Mapping cumulative compound hydrometeorological and marine-induced risks on the NW Mediterranean coast DOI Creative Commons
Rut Romero-Martín, Isabel Leiva, María Carmen Llasat

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Feb. 8, 2024

Coastal risks in the Mediterranean are a result of complex interplay between hydrometeorological and marine hazards. The region encompasses areas with varying degrees vulnerability to these hazards, as well spatial variations exposure values, making it essential adopt comprehensive nuanced approach risk assessment management. It is worth noting that such flash floods, can often have greater impact than strictly coastal highlighting need consider full range potential risks. Therefore, managers must multi-hazard make sound management decisions. This study addresses this using an index-based framework assesses integrated time space (hereafter referred cumulative compound risk) zones by aggregating main territory both types values at exposure. designed for use large scales (applied 1100 km coastline study), basic unit being relevant (here set municipality study). Its application enables individual contributions. combined indices cluster analysis helps identify similarities differences profile units, thus, define homogeneous from perspective. In study, was applied Spanish coastline, area representative climatic, geomorphological, socioeconomic conditions coast.

Language: Английский

Presentation and analysis of the Geotechnical Coastal Vulnerability Index and validation of its application to coastal erosion problems DOI Creative Commons
Vasileios Boumpoulis, Nikolaos Depountis, Athanassios A. Dimas

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 9, 2025

This study aims to construct a coastal vulnerability assessment conceptual framework improve the outcomes of Coastal Vulnerability Index (CVI) for local scale areas. Consequently, new CVI was created adapted specific conditions area using seven variables. The index named Geotechnical (GCVI) due incorporation two geotechnical variables: (1) properties and (2) Median grain size distribution. Furthermore, Fuzzy Analytic Hierarchy Process (FAHP) Principal Component Analysis (PCA) were applied in methodology assign weight factors each variable. For verification GCVI predictions, validation approach is different variables (rate Historical shoreline movement rate Bed level change). results both FAHP PCA indicates that greatest part study's under regime high very vulnerability. Comparison between GCVIFAHP GCVIPCA higher rates classes GCVIFAHP, while shows lower same classes. Both analytical methods used comparison them showed more efficient than since it coincided better with historical bed change.

Language: Английский

Citations

3

Integrated socio-environmental vulnerability assessment of coastal hazards using data-driven and multi-criteria analysis approaches DOI Creative Commons
Ahad Hasan Tanim, Erfan Goharian, Hamid Moradkhani

et al.

Scientific Reports, Journal Year: 2022, Volume and Issue: 12(1)

Published: July 8, 2022

Abstract Coastal hazard vulnerability assessment has been centered around the multi-variate analysis of geo-physical and hydroclimate data. The representation coupled socio-environmental factors often ignored in assessment. This study develops an integrated Vulnerability Index (CVI), which simultaneously combines information from five groups: biophysical, hydroclimate, socio-economic, ecological, shoreline. Using Multi-Criteria Decision Making (MCDM) approach, two CVI (CVI-50 CVI-90) have developed based on average extreme conditions factors. Each is then compared to a data-driven CVI, formed Probabilistic Principal Component Analysis (PPCA). Both MCDM PPCA tied into geospatial assess natural six coastal counties South Carolina. Despite traditional MCDM-based assessments, where final index estimated subjective weighting methods or equal weights, this employs entropy technique reduce individuals’ biases weight assignment. Considering multivariate nature vulnerability, validation results show both CVI-90 preserve biophysical socio-economic reasonably, while CVI-50 underestimate hazards. Sensitivity CVIs shows that Charleston County more sensitive factors, whereas Horry physical contribute higher degree vulnerability. Findings suggest facilitates high-dimensional assessment, approach accounts for decision-makers' opinions.

Language: Английский

Citations

46

Rapid migration of mainland China's coastal erosion vulnerability due to anthropogenic changes DOI
Feng Cai, Chao Cao,

Hongshuai Qi

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 319, P. 115632 - 115632

Published: July 19, 2022

Language: Английский

Citations

42

Coastal indices to assess sea-level rise impacts - A brief review of the last decade DOI Creative Commons
Carolina Rocha, Carlos Antunes, Cristina Catita

et al.

Ocean & Coastal Management, Journal Year: 2023, Volume and Issue: 237, P. 106536 - 106536

Published: March 12, 2023

The present review intends to serve as the most comprehensive work of current scientific and updated research on coastal vulnerability risk assessment due sea-level rise. article describes existing knowledge an important subject that must be in climate change agenda, giving examples methods, methodologies applications have been made around world can considered for application according specifics each geographical area. This demonstrates, with 37 studies last decade, a wide range concepts, parameters indices used this context, considering different types time space scales operation processes, categorizing them intervals classifying variable results large spectrum levels. In light included study, Coastal Vulnerability Index (CVI) is popular designation index (78%). It was discovered provided by authors erroneous 31 studies. Only 7 29 were designated CVI genuinely CVI. forcing factors employed 24 studies, however, only half (18 studies) socioeconomic economic damage parameters. demonstrated there no magic or right formula assessing risk, largely conditioned availability data place it applied. However, lack harmonization nomenclature worrying. also guides how should designated, what they represent, kind are being used, taking into account scale which study

Language: Английский

Citations

28

From Shoreline to Sea: Evaluating Development Suitability Through Coastal Zoning and a Case Study from Shenzhen, China DOI Open Access
Yu Han, Fenghao Zhang, Hongbing Yu

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 1204 - 1204

Published: Feb. 2, 2025

In Shenzhen, as a rapidly developing coastal city, balancing economic activities with ecological protection along the coastline posed significant challenges, particularly during urban expansion and infrastructure construction. This study analyzed zoning, providing valuable lessons for other cities offering both theoretical empirical support more effective management sustainable development. The findings showed that suitability zoning of coastlines revealed no clear spatial distribution trend, most developed areas demonstrating high utilization efficiency, while unused had potential Targeted transformation secondary development could improve resource efficiency needs. conclusion, this research supported in provided practical insights others facing similar challenges management.

Language: Английский

Citations

2

Muti-indicator integrated assessment of coastal erosion vulnerablity in the Abandoned Yellow River Delta using geospatial approaches DOI Creative Commons
Zhi Zhang, Kai Zhou, Peng Chen

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 12

Published: Feb. 12, 2025

Coastal erosion is the leading marine hazard in Abandoned Yellow River Delta, and coastal vulnerability assessment essential for disaster mitigation risk reduction. To comprehensively reflect status of coast a ICVI index that integrates composition dynamics(Mean tidal range, Mean significant wave height, Storm surge height), morphology(Seawall Elevation, Rate coastline change, flat erosion, slope, Tidal width), socioeconomic indicators(Population density, Land use, Roads, Artificial protection) was constructed. After that, Delta carried out, physical calculated then combined to create an integrated (ICVI). The driving factors interactions between these were analyzed by using geodetector method. results showed proportions very high, medium, low, low whole 13.62%, 19.31%, 18.29%, 27.28%, 21.5%, respectively. high vulnerable areas mainly distributed Xiangshui, Binhai, Sheyang. generally distribution pattern north south. spatial differentiation from synergistic effect multiple such as dynamics, morphology, indicators, among which dominant factor vulnerability. interaction protection requires measures, especially flats protection, are most beneficial protection. maps developed this study can provide reliable information relevant authorities formulate better policies.

Language: Английский

Citations

2

Climate pacing of millennial sea-level change variability in the central and western Mediterranean DOI Creative Commons
Matteo Vacchi, Kristen M. Joyse, Robert E. Kopp

et al.

Nature Communications, Journal Year: 2021, Volume and Issue: 12(1)

Published: June 29, 2021

Abstract Future warming in the Mediterranean is expected to significantly exceed global values with unpredictable implications on sea-level rise rates coming decades. Here, we apply an empirical-Bayesian spatio-temporal statistical model a dataset of 401 index points from central and western reconstruct change for past 10,000 years. We demonstrate that mean industrial-era have been faster than any other period since ~4000 years ago. further highlight previously unrecognized variability rates. In Common Era, this correlates occurrence major regional-scale cooling/warming episodes. Our data show stabilization during Late Antique Little Ice Age cold event, which interrupted general rising trend ~0.45 mm −1 characterized episodes Era. By contrast, event had only minor regional effects

Language: Английский

Citations

47

Decision support tools, systems and indices for sustainable coastal planning and management: A review DOI
Mojtaba Barzehkar, Kevin E. Parnell, Tarmo Soomere

et al.

Ocean & Coastal Management, Journal Year: 2021, Volume and Issue: 212, P. 105813 - 105813

Published: July 21, 2021

Language: Английский

Citations

43

Assessment of coastal vulnerability using integrated fuzzy analytical hierarchy process and geospatial technology for effective coastal management DOI

Shahriar Hasnat Akash,

Showmitra Kumar Sarkar, Ahmed Ali Bindajam

et al.

Environmental Science and Pollution Research, Journal Year: 2023, Volume and Issue: 31(41), P. 53749 - 53766

Published: June 30, 2023

Language: Английский

Citations

21

Overview of Coastal Vulnerability Indices with Reference to Physical Characteristics of the Croatian Coast of Istria DOI Creative Commons
Zaviša Šimac, Nina Lončar, Sanja Faivre

et al.

Hydrology, Journal Year: 2023, Volume and Issue: 10(1), P. 14 - 14

Published: Jan. 3, 2023

Coastal areas are dynamic and complex systems exposed to waves, high tides, storm surges. Often, these densely populated have essential socio-economic values for the region country. Any changes or disruptions can cause a tremendous social burden. Vulnerability Index (CVI) is one of most used straightforward methods assess coastal vulnerability. This paper aims analyse summarise current state published vulnerability indices. The analysis seeks develop regional index eastern Adriatic coast, specifically Istrian peninsula. A total 18 papers were reviewed. detailed survey was performed on three groups variables that represent (a) physical features (b) amount influence wave energy (c) factors. While choosing Physical ecological relatively straightforward, Socio-economic particularly challenging. number differs significantly from author another. As result huge variety global characteristics different research approaches, there no universal CVI. Therefore, analysed indices not suited calculation coast without modification. 5 × m cell dimension proposed as suitable analysing Croatian Istria.

Language: Английский

Citations

19