TY - GEN
T1 - Variation of Air Quality in Four Districts of Lima in the Period of the COVID-19 Pandemic
AU - Ananos-Valladares, Leslie
AU - Delgado N Pereda, Mary
AU - Torres, Rita Cabello
AU - Quispe, Patricia Reynoso
AU - Valdiviezo-Gonzales, Lorgio
AU - Paredes, Emigdio Antonio Alfaro
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - The purpose of the study was to evaluate the variation of air quality parameters: PM10, PM2.5, NO2, and O3 in four districts of Lima-Peru (Carabayllo, San Juan de Lurigancho, Villa María del Triunfo, and Jesús María) in the period 2015-2019 and 2020-2021. Likewise, the ozone variability in the Carabayllo district was modelled. Pollutant concentration data were collected from the National Service of Meteorology and Hydrology of Peru (SENAMHI) from the 4 stations located in the aforementioned districts. The data was processed with the IBM SPSS Statistics v.25 software. A statistically significant decrease was observed between the 2015-2019 and 2020-2021 periods in pollutants PM10, PM2.5, and NO2, in the four monitoring stations, mainly because the country entered in a state of emergency (quarantine due to COVID -19). However, an increase in O3 was observed, attributed to the decrease in NOX concentrations. Finally, the gamma generalized linear model represented 87.6% of the ozone variability in the Carabayllo district, showing a good fit for the field data.
AB - The purpose of the study was to evaluate the variation of air quality parameters: PM10, PM2.5, NO2, and O3 in four districts of Lima-Peru (Carabayllo, San Juan de Lurigancho, Villa María del Triunfo, and Jesús María) in the period 2015-2019 and 2020-2021. Likewise, the ozone variability in the Carabayllo district was modelled. Pollutant concentration data were collected from the National Service of Meteorology and Hydrology of Peru (SENAMHI) from the 4 stations located in the aforementioned districts. The data was processed with the IBM SPSS Statistics v.25 software. A statistically significant decrease was observed between the 2015-2019 and 2020-2021 periods in pollutants PM10, PM2.5, and NO2, in the four monitoring stations, mainly because the country entered in a state of emergency (quarantine due to COVID -19). However, an increase in O3 was observed, attributed to the decrease in NOX concentrations. Finally, the gamma generalized linear model represented 87.6% of the ozone variability in the Carabayllo district, showing a good fit for the field data.
KW - air pollutants
KW - air quality
KW - COVID-19
KW - generalized linear model
UR - http://www.scopus.com/inward/record.url?scp=85143652750&partnerID=8YFLogxK
U2 - 10.1109/CONIITI57704.2022.9953630
DO - 10.1109/CONIITI57704.2022.9953630
M3 - Conference contribution
AN - SCOPUS:85143652750
T3 - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings
BT - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022 - Conference Proceedings
A2 - Morales, Victor Manuel Fontalvo
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 Congreso Internacional de Innovacion y Tendencias en Ingenieria, CONIITI 2022
Y2 - 5 October 2022 through 7 October 2022
ER -
