A spatial fuzzy logic approach to urban multi-hazard impact assessment in Concepción, Chile

Araya-Muñoz, Dahyann; Metzger, Marc J.; Stuart, Neil; Wilson, Anne M.; Carvajal, Danilo

doi:10.1016/j.scitotenv.2016.10.077

Cited by 56 publications

(28 citation statements)

References 38 publications

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“…The study used a fuzzy gamma overlay approach (for more details, see [45,54]) to spatially analyze potential heatwave impacts in the three cities. In order to analyze differences between the three cities (Prague, Brno, Pilsen), the "inter-city" scale comparison was used.…”

Section: Spatial Assessmentmentioning

confidence: 99%

Participatory Climate Change Impact Assessment in Three Czech Cities: The Case of Heatwaves

et al. 2018

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Abstract:Cities are complex socioecological systems that are particularly vulnerable to the impacts of climate change and are also exposed to other trends, such as urbanization and population aging. Due to the changing climate, days with extreme temperatures are expected to become more numerous, which is particularly important for urban areas, where the urban heat island phenomenon is observed. This study presents an example of a spatially explicit potential climate change impact assessment of heatwaves integrating both science and stakeholder participation for three large Czech cities (Prague, Brno, and Pilsen). Stakeholder participation exercises were used to prioritize climate change risks, provide impetus and opportunity for knowledge co-production, and support adaptation planning. Potential climate change impacts of heatwaves in the three Czech cities for the current baseline and for the future (2021-2040) using Representative Concentration Pathways (RCPs)-RCP 4.5 and RCP 8.5, were mapped at two levels describing "in-city" and "inter-city" comparison. When comparing the potential impact of heatwaves across the three cities ("inter-city"), the most affected city is Brno, with 10.5% of its area in the very high impact category for the baseline and both RCPs. The "in-city" comparison shows the differences between the baseline and future scenarios of each city. The assessment of heatwaves' impacts was further used to support urban adaptation planning.

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Section: Spatial Assessmentmentioning

confidence: 99%

Participatory Climate Change Impact Assessment in Three Czech Cities: The Case of Heatwaves

et al. 2018

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“…By identifying the eigenvector and using its maximum value (λ max ), the consistency index and the consistency ratio can be determined using Equations (19) and (20).…”

Section: Width Of Pathwaysmentioning

confidence: 99%

Spatial Modelling of Urban Physical Vulnerability to Explosion Hazards Using GIS and Fuzzy MCDA

et al. 2017

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Abstract:Most of the world's population is concentrated in accumulated spaces in the form of cities, making the concept of urban planning a significant issue for consideration by decision makers. Urban vulnerability is a major issue which arises in urban management, and is simply defined as how vulnerable various structures in a city are to different hazards. Reducing urban vulnerability and enhancing resilience are considered to be essential steps towards achieving urban sustainability. To date, a vast body of literature has focused on investigating urban systems' vulnerabilities with regard to natural hazards. However, less attention has been paid to vulnerabilities resulting from man-made hazards. This study proposes to investigate the physical vulnerability of buildings in District 6 of Tehran, Iran, with respect to intentional explosion hazards. A total of 14 vulnerability criteria are identified according to the opinions of various experts, and standard maps for each of these criteria have been generated in a GIS environment. Ultimately, an ordered weighted averaging (OWA) technique was applied to generate vulnerability maps for different risk conditions. The results of the present study indicate that only about 25 percent of buildings in the study area have a low level of vulnerability under moderate risk conditions. Sensitivity analysis further illustrates the robustness of the results obtained. Finally, the paper concludes by arguing that local authorities must focus more on risk-reduction techniques in order to reduce physical vulnerability and achieve urban sustainability.

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“…6) Wildfire Risk Impact Mapping: During an active wildfire disaster, the emergency responders require knowledge about the potential risk affecting the local population. The Fondazione Bruno Kessler (FBK) produce risk impact raster maps computed using a fuzzy methodology pipeline [11]. The nowcast and forecast wildfire hazard maps (described above) are used as the exposure layer for the risk impact assessment.…”

Section: ) Wildfire Hazard Nowcasting and Forecastingmentioning

confidence: 99%

Coupling early warning services, crowdsourcing, and modelling for improved decision support and wildfire emergency management

Bielski¹,

O'Brien²,

Whitmore³

et al. 2017

2017 IEEE International Conference on Big Data (Big Data)

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Abstract-The threat of a forest fire disaster increases around the globe as the human footprint continues to encroach on natural areas and climate change effects increase the potential of extreme weather. It is essential that the tools to educate, prepare, monitor, react, and fight natural fire disasters are available to emergency managers and responders and reduce the overall disaster effects. In the context of the I-REACT project, such a big crisis data system is being developed and is based on the integration of information from different sources, automated data processing chains and decision support systems. This paper presents the wildfire monitoring for emergency management system for those involved and affected by wildfire disasters developed for European forest fire disasters.

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A spatial fuzzy logic approach to urban multi-hazard impact assessment in Concepción, Chile

Cited by 56 publications

References 38 publications

Participatory Climate Change Impact Assessment in Three Czech Cities: The Case of Heatwaves

Participatory Climate Change Impact Assessment in Three Czech Cities: The Case of Heatwaves

Spatial Modelling of Urban Physical Vulnerability to Explosion Hazards Using GIS and Fuzzy MCDA

Coupling early warning services, crowdsourcing, and modelling for improved decision support and wildfire emergency management

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