This issue focuses on noise pollution and traffic issues in busy urban areas, compiling research on their impact on air quality and using classification methods to investigate pollution levels. Analyzing these cases offers new insights for managing urban environmental quality and highlights the unique value of our journal's publications.
Open Access
Article
Article ID: 1976
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by Tingting Li, Wang Lv, Jiao Zhou, Shijing Zeng
Pollut. Stud. 2021 , 2(1);    3583 Views
Received: 01 July 2021; Accepted: 25 July 2021; Available online: 09 August 2021;
Issue release: 31 December 2021
Abstract The health of individuals is intimately linked to air quality, making it crucial to investigate the pollutants that influence it. A sequential Logistic multi-classification approach, which utilizes the distance between classes, was applied to analyze the air quality data of Chengdu spanning from May 2019 to April 2020. By leveraging the inter-class distance metric, the multi-class classification challenge was converted into a series of binary classification tasks. Using a sequential strategy, binary Logistic regression was then employed for each task. The accuracy rate post-stepwise regression was utilized to assess the impact of various pollutants on air quality. The findings indicate that PM 2.5 , PM 10 , NO 2 , and O 3 are the four primary pollutants with the most significant collective influence on Chengdu's air quality. Consequently, the government should enhance the joint monitoring of these pollutants and develop targeted policies to mitigate their levels.
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Open Access
Article
Article ID: 2010
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by Zamorano-González Benito, Peña-Cárdenas Fabiola, Velázquez-Narváez Yolanda, Vargas-Martínez José Ignacio, Parra-Sierra Víctor
Pollut. Stud. 2021 , 2(1);    4256 Views
Received: 09 May 2021; Accepted: 01 June 2021; Available online: 15 June 2021;
Issue release: 31 December 2021
Abstract Objective : The aim was to establish a correlation between the noise levels at major road intersections and the volume of vehicles passing through these areas. Method : A non-invasive electronic vehicle sound level meter was used for one-week periods; noise levels were assessed on a daily basis throughout the week, utilizing type I integrating sound level meters. Results : An annual average daily traffic volume of 2739 vehicles was recorded; an estimated noise level of 77.6 decibels for 12-hour spans was observed; peak noise levels reached 98.5 decibels, with the lowest recorded level at 58.3 decibels. Constraints: The fieldwork was conducted over a period shorter than one year, which may limit the comprehensiveness of the findings. Main findings : The city's noise levels surpass the World Health Organization's recommended threshold of 65 decibels, indicating that the city is experiencing noise pollution as a result of vehicular traffic.
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