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Contrasted Effects of Relative Humidity and Precipitation on Urban PM 2.5 Pollution in High Elevation Urban Areas

Author

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  • Rasa Zalakeviciute

    (Intelligent & Interactive Systems Lab (SI2 Lab), Facultad de Ingeniería y Ciencias Agropecuarias (FICA), Universidad de Las América, 170125 Quito, Ecuador)

  • Jesús López-Villada

    (Department of Mechanical Engineering, Escuela Politécnica Nacional, Ladrón de Guevara, E11-253, 170525 Quito, Ecuador)

  • Yves Rybarczyk

    (Intelligent & Interactive Systems Lab (SI2 Lab), Facultad de Ingeniería y Ciencias Agropecuarias (FICA), Universidad de Las América, 170125 Quito, Ecuador
    Department of Electrical Engineering, CTS/UNINOVA, Nova University of Lisbon, 2829-516 Monte de Caparica, Portugal)

Abstract

Levels of urban pollution can be influenced largely by meteorological conditions and the topography of the area. The impact of the relative humidity (RH) on the daily average PM 2.5 concentrations was studied at several sites in a mid-size South American city at a high elevation over the period of nine years. In this work, we show that there is a positive correlation between daily average urban PM 2.5 concentrations and the RH in traffic-busy central areas, and a negative correlation in the outskirts of the city in more industrial areas. While in the traffic sites strong events of precipitation (≥9 mm) played a major role in PM 2.5 pollution removal, in the city outskirts, the PM 2.5 concentrations decreased with increasing RH independently of rain accumulation. Increasing PM 2.5 concentrations are to be expected in any highly motorized city where there is high RH and a lack of strong precipitation, especially in rapidly growing and developing countries with high motorization due to poor fuel quality. Finally, two models, based on a logistic regression algorithm, are proposed to describe the effect of rain and RH on PM 2.5 , when the source of pollution is traffic-based vs. industry-based.

Suggested Citation

  • Rasa Zalakeviciute & Jesús López-Villada & Yves Rybarczyk, 2018. "Contrasted Effects of Relative Humidity and Precipitation on Urban PM 2.5 Pollution in High Elevation Urban Areas," Sustainability, MDPI, vol. 10(6), pages 1-21, June.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:6:p:2064-:d:153070
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    References listed on IDEAS

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    1. Wang, Xin & Ge, Yunshan & Yu, Linxiao & Feng, Xiangyu, 2013. "Effects of altitude on the thermal efficiency of a heavy-duty diesel engine," Energy, Elsevier, vol. 59(C), pages 543-548.
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    Cited by:

    1. Shen Zhao & Yong Xu, 2019. "Exploring the Spatial Variation Characteristics and Influencing Factors of PM 2.5 Pollution in China: Evidence from 289 Chinese Cities," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
    2. Lin, Ying & Yang, Xiuyun & Li, Yanan & Yao, Shunbo, 2020. "The effect of forest on PM2.5 concentrations: A spatial panel approach," Forest Policy and Economics, Elsevier, vol. 118(C).

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