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Effects of climate change on the health of citizens modelling urban weather and air pollution

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  • San José, Roberto
  • Pérez, Juan Luis
  • Pérez, Libia
  • Gonzalez Barras, Rosa Maria

Abstract

A dynamical downscaling tool has been implemented to understand the impacts of global climate on citizens health. We have used the WRF-Chem mesoscale model (NOAA, USA) to produce information covering Europe with 25 km of spatial resolution and two nested domains with 5 km and 1 km of spatial resolution over London. Finally, detailed simulations are carried out using the MICROSYS-CFD model to take into account the effects of urban buildings on the urban atmosphere in the Kensington and Chelsea area. The tool produces very high spatial air quality and meteorological data (50 m) and also temporal resolution (1 h) to estimate health impacts in the short term, using exposure-response functions extracted from epidemiological studies. The comparison shows an acceptable agreement of the modelled data with the measurements. The effects on the health of citizens by temperature change in the future are more important than by changes in atmospheric pollutant concentrations. The maps show how the effects depend on the city's geometry and how the tool can highlight the most vulnerable areas to help to design plans and implement strategic measures to mitigate the effects of global climate change on people's health.

Suggested Citation

  • San José, Roberto & Pérez, Juan Luis & Pérez, Libia & Gonzalez Barras, Rosa Maria, 2018. "Effects of climate change on the health of citizens modelling urban weather and air pollution," Energy, Elsevier, vol. 165(PA), pages 53-62.
    • Handle: RePEc:eee:energy:v:165:y:2018:i:pa:p:53-62
    DOI: 10.1016/j.energy.2018.09.088
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    References listed on IDEAS

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    Cited by:

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    2. Cao, Libin & Tang, Yiqi & Cai, Bofeng & Wu, Pengcheng & Zhang, Yansen & Zhang, Fengxue & Xin, Bo & Lv, Chen & Chen, Kai & Fang, Kai, 2021. "Was it better or worse? Simulating the environmental and health impacts of emissions trading scheme in Hubei province, China," Energy, Elsevier, vol. 217(C).
    3. Bedi, Jatin & Toshniwal, Durga, 2021. "Can electricity demand lead to air pollution? A spatio-temporal analysis of electricity demand with climatic conditions," Renewable and Sustainable Energy Reviews, Elsevier, vol. 136(C).
    4. Anna Eknes Stagrum & Erlend Andenæs & Tore Kvande & Jardar Lohne, 2020. "Climate Change Adaptation Measures for Buildings—A Scoping Review," Sustainability, MDPI, vol. 12(5), pages 1-18, February.
    5. Inha Oh & Wang-Jin Yoo & Yiseon Yoo, 2019. "Impact and Interactions of Policies for Mitigation of Air Pollutants and Greenhouse Gas Emissions in Korea," IJERPH, MDPI, vol. 16(7), pages 1-17, March.
    6. Maximilian Ueberham & Uwe Schlink & Martin Dijst & Ulrike Weiland, 2019. "Cyclists’ Multiple Environmental Urban Exposures—Comparing Subjective and Objective Measurements," Sustainability, MDPI, vol. 11(5), pages 1-12, March.

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