Temporal and spatial analysis of traffic – Related pollutant under the influence of the seasonality and meteorological variables over an urban city in Peru

A four yearlong air monitoring data (since 2015 to 2018) was collected to assess the impact of meteorological parameters such as temperature, relative humidity, wind speed and wind direction on the spatial and temporal variability of CO (carbon monoxide), NO2 (nitrogen oxide), O3 (ozone), SO2 (sulfu...

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Main Authors: Yovitza Romero, César Diaz, Ian Meldrum, Ricardo Arias Velasquez, Julien Noel
Format: Article
Language:English
Published: Elsevier 2020-06-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844020308732
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spelling doaj-a32f9f5fde8847e2bab22818bf4e0c042020-11-25T02:58:03ZengElsevierHeliyon2405-84402020-06-0166e04029Temporal and spatial analysis of traffic – Related pollutant under the influence of the seasonality and meteorological variables over an urban city in PeruYovitza Romero0César Diaz1Ian Meldrum2Ricardo Arias Velasquez3Julien Noel4Corresponding author.; Energy Engineering Department, Universidad de Ingenieria y Tecnologia - UTEC, Lima, PeruEnergy Engineering Department, Universidad de Ingenieria y Tecnologia - UTEC, Lima, PeruEnergy Engineering Department, Universidad de Ingenieria y Tecnologia - UTEC, Lima, PeruEnergy Engineering Department, Universidad de Ingenieria y Tecnologia - UTEC, Lima, PeruEnergy Engineering Department, Universidad de Ingenieria y Tecnologia - UTEC, Lima, PeruA four yearlong air monitoring data (since 2015 to 2018) was collected to assess the impact of meteorological parameters such as temperature, relative humidity, wind speed and wind direction on the spatial and temporal variability of CO (carbon monoxide), NO2 (nitrogen oxide), O3 (ozone), SO2 (sulfur dioxide), PM10 and PM2.5 (particulate matter with diameter aerodynamic less than 2.5 μm and 10 μm respectively) in Lima Metropolitan Area (LMA). Data from eight air quality monitoring stations, currently under the supervision of the National Meteorological and Hydrological Service (SENAMHI), was used to capture traffic – related pollutants concentrations under various local traffic conditions. Effects on meteorological events on seasonal traffic-related pollutants concentration variability were identified. Using average data from the eight stations, it was found that the monthly mean traffic-related pollutants since 2015 to 2018 were higher in spring and winter and lower in autumn and summer. Low-wind speed was associated with events that contribute to elevated seasonal PM2.5 levels. Correlation coefficients between PM2.5 concentrations and meteorological variables fluctuated significaly across different seasons. High PM2.5 concentrations were associated with low relative humidity and high wind conditions in spring. Results suggest that there exist a seasonal variation of PM2.5 concentration, and set the need of future work on the understanding of the air pollution effects on human health.http://www.sciencedirect.com/science/article/pii/S2405844020308732TemperatureHumidityWind speedLima metropolitan areaTraffic-related pollutantsAtmospheric science
collection DOAJ
language English
format Article
sources DOAJ
author Yovitza Romero
César Diaz
Ian Meldrum
Ricardo Arias Velasquez
Julien Noel
spellingShingle Yovitza Romero
César Diaz
Ian Meldrum
Ricardo Arias Velasquez
Julien Noel
Temporal and spatial analysis of traffic – Related pollutant under the influence of the seasonality and meteorological variables over an urban city in Peru
Heliyon
Temperature
Humidity
Wind speed
Lima metropolitan area
Traffic-related pollutants
Atmospheric science
author_facet Yovitza Romero
César Diaz
Ian Meldrum
Ricardo Arias Velasquez
Julien Noel
author_sort Yovitza Romero
title Temporal and spatial analysis of traffic – Related pollutant under the influence of the seasonality and meteorological variables over an urban city in Peru
title_short Temporal and spatial analysis of traffic – Related pollutant under the influence of the seasonality and meteorological variables over an urban city in Peru
title_full Temporal and spatial analysis of traffic – Related pollutant under the influence of the seasonality and meteorological variables over an urban city in Peru
title_fullStr Temporal and spatial analysis of traffic – Related pollutant under the influence of the seasonality and meteorological variables over an urban city in Peru
title_full_unstemmed Temporal and spatial analysis of traffic – Related pollutant under the influence of the seasonality and meteorological variables over an urban city in Peru
title_sort temporal and spatial analysis of traffic – related pollutant under the influence of the seasonality and meteorological variables over an urban city in peru
publisher Elsevier
series Heliyon
issn 2405-8440
publishDate 2020-06-01
description A four yearlong air monitoring data (since 2015 to 2018) was collected to assess the impact of meteorological parameters such as temperature, relative humidity, wind speed and wind direction on the spatial and temporal variability of CO (carbon monoxide), NO2 (nitrogen oxide), O3 (ozone), SO2 (sulfur dioxide), PM10 and PM2.5 (particulate matter with diameter aerodynamic less than 2.5 μm and 10 μm respectively) in Lima Metropolitan Area (LMA). Data from eight air quality monitoring stations, currently under the supervision of the National Meteorological and Hydrological Service (SENAMHI), was used to capture traffic – related pollutants concentrations under various local traffic conditions. Effects on meteorological events on seasonal traffic-related pollutants concentration variability were identified. Using average data from the eight stations, it was found that the monthly mean traffic-related pollutants since 2015 to 2018 were higher in spring and winter and lower in autumn and summer. Low-wind speed was associated with events that contribute to elevated seasonal PM2.5 levels. Correlation coefficients between PM2.5 concentrations and meteorological variables fluctuated significaly across different seasons. High PM2.5 concentrations were associated with low relative humidity and high wind conditions in spring. Results suggest that there exist a seasonal variation of PM2.5 concentration, and set the need of future work on the understanding of the air pollution effects on human health.
topic Temperature
Humidity
Wind speed
Lima metropolitan area
Traffic-related pollutants
Atmospheric science
url http://www.sciencedirect.com/science/article/pii/S2405844020308732
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