A spatial fuzzy logic approach to urban multi-hazard impact assessment in Concepción, Chile
| Autor: | A. Meriwether W. Wilson, Neil Stuart, Danilo Carvajal, Dahyann Araya-Muñoz, Marc J. Metzger |
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| Rok vydání: | 2016 |
| Předmět: |
education.field_of_study
Environmental Engineering 010504 meteorology & atmospheric sciences Impact assessment Flooding (psychology) Population Vulnerability 010501 environmental sciences 01 natural sciences Pollution Metropolitan area Hazard Water scarcity Urban planning Environmental protection Environmental Chemistry Environmental science education Waste Management and Disposal Environmental planning 0105 earth and related environmental sciences |
| Zdroj: | Araya-Munoz, D, Metzger, M, Stuart, N, Wilson, A & Carvajal, D 2017, ' A spatial fuzzy logic approach to urban multi-hazard impact assessment in Concepción, Chile ', Science of the Total Environment, vol. 576, pp. 508-519 . https://doi.org/10.1016/j.scitotenv.2016.10.077 |
| ISSN: | 1879-1026 |
| DOI: | 10.1016/j.scitotenv.2016.10.077 |
| Popis: | Even though most cities are exposed to more than one hazard, local planners and decision-makers still have a limited understanding of the exposure and sensitivity to and the spatial distribution of hazards. We examine the impact of multiple hazards in the Concepción Metropolitan Area (CMA), Chile. A flexible methodology based on spatial fuzzy logic modelling was developed to explore the impact of weather-related hazards, including coastal flooding, fluvial flooding, water scarcity, heat stress, and wildfire. 32 indicators were standardised and then aggregated through a stepwise approach into a multi-hazard impact index. We find that all the municipalities in the CMA increased their level of impact between 1992 and 2002, due to a larger increase in the exposure rather than the modest decrease in sensitivity. Municipal sensitivity was driven mostly by changes in the population’s age structure. Wildfires and water scarcity appeared to have the largest impact on all municipalities. Fuzzy modelling offered high flexibility in the standardization and aggregation of indicators with diverse characteristics, while also providing a means to explore how the interaction of numerous indicators influenced the index. The resulting maps can help identify indicators, components, and hazards or combinations of hazards that most influence the impact on municipalities. The results can be used to improve and promote dialogue amongst policy-makers and stakeholders regarding prioritisation of resources for urban development in ways that can also reduce exposure and sensitivity and lower vulnerability to climate change. The methods presented can be adapted to other cities. |
| Databáze: | OpenAIRE |
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