Climate change impacts on critical urban infrastructure and urban resiliency strategies for the Middle East

Salimi, Mohsen; Al-Ghamdi, Sami G.

doi:10.1016/j.scs.2019.101948

Cited by 191 publications

(71 citation statements)

References 79 publications

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“…Schejtman, Bidart y Deleersnyder (2015) señalan que los gobiernos locales deben enfrentar desastres producidos por lluvias, inundaciones, sequías, incendios y que las altas temperaturas y los fenómenos más extremos, producen cambios en la manera de habitar una ciudad, demandando nuevos bienes y servicios. Si bien algunos aspectos relacionados con fenómenos climáticos mostrarán cambios graduales permitiendo a los entornos urbanos adaptarse, se debe tener en cuenta que la mayor probabilidad y frecuencia de eventos climáticos extremos requerirá una respuesta inmediata al momento de reducir los riesgos (Salimi y Al-Ghamdi 2020).…”

Section: Cidades Argentinas No Contexto De Mudanças Climáticas: Explorações Para Análise De Riscos E Resiliência Urbana Resumounclassified

Ciudades argentinas en el contexto del cambio climático: exploraciones para el análisis del riesgo y la resiliencia urbana

Zulaica

Vázquez

2021

Cuad. Geogr. Rev. Colomb. Geogr.

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América Latina evidencia un acelerado proceso de urbanización bajo un modelo de desarrollo que genera e intensifica problemas sociales y ambientales. A esto se suman los riesgos desencadenados por el cambio climático que afectan las ciudades actuales. En Argentina sus efectos se manifiestan diferencialmente sobre las regiones, impactando en las ciudades y asentamientos. Este trabajo propone explorar el riesgo ambiental al que se enfrentan ciudades argentinas en un contexto de cambio climático en dos dimensiones: amenaza y resiliencia. Se construyeron dos índices sintéticos aplicando la metodología de Valor Índice Medio para cada dimensión y, posteriormente, se articularon los resultados definiendo categorías de riesgo. Los resultados se representaron espacialmente en un Sistema de Información Geográfica. Gran Posadas, Corrientes y Salta alcanzan las situaciones más desfavorables, continuando con Gran La Plata, Gran Mendoza, Gran San Juan, Gran Tucumán-Tafí Viejo y los partidos del Gran Buenos Aires. Se destaca la importancia de focalizar en medidas de adaptación bajo el concepto de resiliencia urbana. La apertura de nuevos interrogantes invita a profundizar en investigaciones cuyos resultados permitan avanzar hacia la sostenibilidad y resiliencia urbana a partir de su inclusión en la agenda política local.

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Section: Cidades Argentinas No Contexto De Mudanças Climáticas: Explorações Para Análise De Riscos E Resiliência Urbana Resumounclassified

Ciudades argentinas en el contexto del cambio climático: exploraciones para el análisis del riesgo y la resiliencia urbana

Zulaica

Vázquez

2021

Cuad. Geogr. Rev. Colomb. Geogr.

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“…From 2015 to 2019, heatwaves were the deadliest meteorological hazard in many countries, particularly in Europe and North America [1], with an increase of mortality [5] and morbidity, especially for the elderly [6]. Consequences of these extremes included higher energy uses in buildings [5][6][7], infrastructure failures [8,9], and negative economic impacts [10,11].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Analysis of Different Future Weather Data for Building Energy Performance Simulation

Tootkaboni

Ballarini

Zinzi

et al. 2021

Climate

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The building energy performance pattern is predicted to be shifted in the future due to climate change. To analyze this phenomenon, there is an urgent need for reliable and robust future weather datasets. Several ways for estimating future climate projection and creating weather files exist. This paper attempts to comparatively analyze three tools for generating future weather datasets based on statistical downscaling (WeatherShift, Meteonorm, and CCWorldWeatherGen) with one based on dynamical downscaling (a future-typical meteorological year, created using a high-quality reginal climate model). Four weather datasets for the city of Rome are generated and applied to the energy simulation of a mono family house and an apartment block as representative building types of Italian residential building stock. The results show that morphed weather files have a relatively similar operation in predicting the future comfort and energy performance of the buildings. In addition, discrepancy between them and the dynamical downscaled weather file is revealed. The analysis shows that this comes not only from using different approaches for creating future weather datasets but also by the building type. Therefore, for finding climate resilient solutions for buildings, care should be taken in using different methods for developing future weather datasets, and regional and localized analysis becomes vital.

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“…However, its first introduction into modern science was by Holling in 1973, describing a biological system's capacity to sustain disturbances and recover within a specific timeframe (Holling, 1973). The concept has become incorporated into engineering domains over the last two decades, with a dramatic increase in interest since 2010 due to the increased uncertainty and emergence of new challenges and threats (Wan et al, 2018;Salimi and Al-Ghamdi, 2020). Threats such as natural hazards strengthened by climate change and intentional attacks (including those in the cyber domain) fueled by political tensions have been among the main challenges for urban infrastructures and their security in recent years (Schleussner et al, 2016;Salimi and Al-Ghamdi, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the integration of technological solutions into infrastructure has increased its complexity and created interdependent links between various critical ones threatening to cause the propagation of disturbance from one infrastructure to another (Ahmed et al, 2019;Ganin et al, 2019). These interdependencies, complexities, and unprecedented threats have steered the design mentality toward ensuring the abilities of critical infrastructures to sustain damage and recover in a suitable timeframe and thus toward reducing the loss of economic, human, and environmental resources, in other words, ensuring their resilience (Salimi and Al-Ghamdi, 2020).…”

Section: Introductionmentioning

confidence: 99%

Urban Infrastructure Resilience Assessment During Mega Sport Events Using a Multi-Criteria Approach

2021

Self Cite

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Critical infrastructures share the same space and mutual dependencies, and consequently contribute to city's overall resilience. However, each has different assessment methods and metrics, which prevents the integration of the performance results for different infrastructures into a single holistic evaluation index that can reflect the city's overall resilience and expected performance. To address this challenge, we propose the development of a multi-criteria-based integration approach that can allow the combination of different evaluation results from different assessment methods through partial factors. The proposed equation incorporates several factors, which can be divided into four groups: (1) method-efficiency factors, (2) infrastructure importance factors, (3) infrastructures' interdependency factors, and (4) strict limits that ensure that the infrastructures are suitable for hosting mega sports events. Using this approach, we hope to open the way for future research into suitable factors and facilitate resilience-based design in sustainable development and municipal planning.

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Climate change impacts on critical urban infrastructure and urban resiliency strategies for the Middle East

Cited by 191 publications

References 79 publications

Ciudades argentinas en el contexto del cambio climático: exploraciones para el análisis del riesgo y la resiliencia urbana

Ciudades argentinas en el contexto del cambio climático: exploraciones para el análisis del riesgo y la resiliencia urbana

A Comparative Analysis of Different Future Weather Data for Building Energy Performance Simulation

Urban Infrastructure Resilience Assessment During Mega Sport Events Using a Multi-Criteria Approach

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