Measuring Social Vulnerability to Climate Change at the Coast: Embracing Complexity and Context for More Accurate and Equitable Analysis DOI Open Access
Danielle Johnson, Paula Blackett, Andrew Allison

et al.

Water, Journal Year: 2023, Volume and Issue: 15(19), P. 3408 - 3408

Published: Sept. 28, 2023

Social vulnerability indices are often used to quantify differential the impacts of climate change within coastal communities. In this review, we examine how “tried and tested” methodologies for analysing social hazards at coast being challenged by a new wave that offer more nuanced conclusions about who is vulnerable, how, why. Instead producing high-level, generalised, static vulnerability, engages deeply with interlinked socioeconomic, cultural, political, economic specificities place, as well multi-scalar temporal dynamics, incongruities, inconsistencies inherent peoples’ lived, felt experiences vulnerability. By integrating these complex observations into an output still readily accessible decision- policy-makers, supports pursuit tailored, context-appropriate, equitable adaptation. We suggest one way forms analyses might be operationalised, reflecting on experimental research project uses personas or fictional characters in Aotearoa New Zealand.

Language: Английский

A novel flood risk management approach based on future climate and land use change scenarios DOI
Huu Duy Nguyen, Quoc‐Huy Nguyen, Dinh Kha Dang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 921, P. 171204 - 171204

Published: Feb. 23, 2024

Language: Английский

Citations

25

Efficiency evaluation of low impact development practices on urban flood risk DOI

Sara Ayoubi Ayoublu,

Mehdi Vafakhah, Hamid Reza Pourghasemi

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 356, P. 120467 - 120467

Published: March 13, 2024

Language: Английский

Citations

12

Holistic Assessment of Social, Environmental and Economic Impacts of Pipe Breaks: The Case Study of Vancouver DOI Open Access

Armine Sinaei,

Rebecca Dziedzic, Enrico Creaco

et al.

Water, Journal Year: 2025, Volume and Issue: 17(2), P. 252 - 252

Published: Jan. 17, 2025

This paper presents a holistic assessment framework for the impacts of water distribution pipe breaks to promote environmentally sustainable and socially resilient cities. considers social, environmental, economic vulnerabilities as well probabilities associated with failure. The integration these features provides comprehensive approach understanding infrastructure risks. Taking city Vancouver case study, social vulnerability index (SVI) is obtained following application cross-correlation matrix principal component analysis (PCA) identify most influential among 33 selected variables from 2021 census Canadian population. Environmental Vulnerability Index (EVI) evaluated by considering park floodplain areas. Economic (ECI) derived replacement cost pipes. These indices offer valuable insights into spatial (consequences) across urban Subsequently, Consequence Failure (COF) computed aggregating three equal weights. Pipe probability failure (POF) Weibull model calibrated on real break data function age. enables dynamic evaluation deterioration over time. Risk finally assessed combining COF POF prioritizing rehabilitation, final objective mitigating adverse findings show significant impact ethnicity, socioeconomic indices, education index. Moreover, areas close English Bay Fraser River are more vulnerable. pipes high primarily concrete pipes, due their expensive costs. Finally, risk resulting used rank City network ranking system highlights critical requiring different levels attention improvements. All corresponding risks illustrated in maps, highlighting that very level mostly south north Vancouver.

Language: Английский

Citations

1

Exploring spatial heterogeneity and environmental injustices in exposure to flood hazards using geographically weighted regression DOI
Liton Chakraborty, Horatiu A. Rus, Daniel Henstra

et al.

Environmental Research, Journal Year: 2022, Volume and Issue: 210, P. 112982 - 112982

Published: Feb. 23, 2022

Language: Английский

Citations

31

Mapping wildfire hazard, vulnerability, and risk to Canadian communities DOI Creative Commons
Sandy Erni, Xianli Wang,

Tom Swystun

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2023, Volume and Issue: 101, P. 104221 - 104221

Published: Dec. 24, 2023

Large and intense wildfires are an integral part of many Canadian landscapes, playing a critical role in ecosystem dynamics. However, the recent catastrophic fire seasons have highlighted threat that can pose to human communities. Identifying areas at higher risk is therefore crucial order mitigate impacts on society. This study presents standardized method for nationwide wildfire assessment, focusing buildings populations. Using Burn-P3 simulation model, along with building footprint census data, we generated hazard, vulnerability, maps Canada's forested regions. Our findings demonstrate nuanced understanding when considering interaction between hazard physical vulnerability. Approximately 32.3% 6.3% land classified as High Very high risk, respectively. We estimate 111,519 units (5.8%) directly exposed 10,622 (0.6%) risk. Moreover, found approximately 283,200 people reside while 30,500 live Indigenous on-reserve communities particularly vulnerable impact. 18.9% living reserves fire, compared only 2.4% non-reserve population. The present offers information development national management policy provides new insights support implementation effective measures reduction.

Language: Английский

Citations

20

Exploring interactions between socioeconomic context and natural hazards on human population displacement DOI Creative Commons
Michele Ronco, José María Tárraga, Jordi Muñoz-Marı́

et al.

Nature Communications, Journal Year: 2023, Volume and Issue: 14(1)

Published: Dec. 4, 2023

Abstract Climate change is leading to more extreme weather hazards, forcing human populations be displaced. We employ explainable machine learning techniques model and understand internal displacement flows patterns from observational data alone. For this purpose, a large, harmonized, global database of disaster-induced movements in the presence floods, storms, landslides during 2016–2021 presented. account for environmental, societal, economic factors predict number displaced persons per event affected regions. Here we show that displacements can primarily attributed combination poor household conditions intense precipitation, as revealed through interpretation trained models using both Shapley values causality-based methods. hence provide empirical evidence differential or uneven vulnerability exists means its quantification, which could help advance evidence-based mitigation adaptation planning efforts.

Language: Английский

Citations

19

A multi-dimensional framework for improving flood risk assessment: Application in the Han River Basin, China DOI Creative Commons
Jiarui Yu, Lei Zou, Jun Xia

et al.

Journal of Hydrology Regional Studies, Journal Year: 2023, Volume and Issue: 47, P. 101434 - 101434

Published: June 1, 2023

The Han River Basin, China As the water source of Middle Route Project South to North Water Transfer Project, security in Basin deeply impacts national resource allocation. This study constructed a Multi-Dimensional Flood Risk Assessment (MDFRA) framework combining comprehensive index system, an integrated weight method, and clustering algorithm assess flood risk Basin. We first system including eight hazard indexes, four exposure vulnerability indexes demographic, economic, ecological, infrastructural categories risk. weights were determined by which Shapley value Analytic Hierarchy Process method (SAHP). Finally, possibilistic fuzzy C-means was employed identify levels. MDFRA presents realistically comprehensively, revealing composition providing more detailed information. Results show that high-risk regions accounted for 34.51% basin area mainly concentrated mid-lower reaches, while middle-risk (19.13%) middle-high-risk (23.35%) distributed upstream. 4.52%, 5.12%, 13.37% assigned as very-low, low, middle-low respectively, adjacent Danjiangkou reservoir. Flood-prone natural conditions dense population assets causes high risk, reservoir regulation storage capacity had significantly alleviated

Language: Английский

Citations

18

Flood vulnerability assessment of Thailand's flood-prone Pathum Thani province and vulnerability mitigation strategies DOI

Prinya Mruksirisuk,

Nawhath Thanvisitthpon,

Kewaree Pholkern

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 347, P. 119276 - 119276

Published: Oct. 6, 2023

Language: Английский

Citations

18

Assessing social vulnerability and identifying spatial hotspots of flood risk to inform socially just flood management policy DOI
Liton Chakraborty, Jason Thistlethwaite, Daniel Scott

et al.

Risk Analysis, Journal Year: 2022, Volume and Issue: 43(5), P. 1058 - 1078

Published: June 10, 2022

This study presents the first nationwide spatial assessment of flood risk to identify social vulnerability and exposure hotspots that support policies aimed at protecting high-risk populations geographical regions Canada. The used a national-scale hazard dataset (pluvial, fluvial, coastal) estimate 1-in-100-year all residential properties across 5721 census tracts. Residential data were spatially integrated with census-based multidimensional index (SoVI) included demographic, racial/ethnic, socioeconomic indicators influencing vulnerability. Using Bivariate Local Indicators Spatial Association (BiLISA) cluster maps, identified geographic concentration where high coincided exposure. results revealed considerable variations in tract-level Flood belonged 410 tracts, 21 metropolitan areas, eight provinces comprising about 1.7 million total population 51% half-a-million Results near core dense urban areas predominantly occupying those hotspots. Recognizing priority locations is critically important for government interventions mitigation initiatives considering socio-physical aspects flooding. Findings reinforce better understanding flood-disadvantaged neighborhoods Canada, are required target preparedness, response, recovery resources foster socially just management strategies.

Language: Английский

Citations

26

Assessing social vulnerability to flood hazards: A case study of Sarawak's divisions DOI Creative Commons
Ismallianto Isia, Tony Hadibarata, Ratih Indri Hapsari

et al.

International Journal of Disaster Risk Reduction, Journal Year: 2023, Volume and Issue: 97, P. 104052 - 104052

Published: Oct. 1, 2023

Social vulnerability assessment to flood hazard depends upon multiple factors that can vary across the different indicators. However, there is limited knowledge on specific indicators suitable for assessing social Sarawak. This study systematically analyzed important components of and mapped them by weight 12 divisions. Indices focusing two dimensions (physical exposure resistances) were identified based literature. Data these indices then collected through relevant government agencies. Components assessed significantly contributing Principal Component Analysis (PCA). An entropy method was used Vulnerability estimated Iyengar Sudarshan methodology data produce a map proposed Index (SVI). The results indicated divisions Kuching, Miri, Sibu Bintulu more vulnerable (score over than 0.81) those in other Greater mainly due high extreme events less adaptive capacity resistance, which affect agricultural production negatively, combination with population density communities. clearly shows areas are susceptible, indicating government's adaptation measures should depending available resources, urgency, means survival needed achieve resilience against climate change.

Language: Английский

Citations

14