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Dec 15, 2019 · This study is aimed to employ a new and integrated approach of multiple linear regression (MLR) and artificial neural networks (ANN) to estimate the ground level PM2.5 …
Table 6 displays the results from the regression analysis, which was performed to analyze the determinants of the four response behaviors.
There is a growing need of controlling the pollution levels in major cities in India and also understanding on identifying the behavior of various pollutants in a city.
Aug 9, 2020 · Therefore, this article presents a systematic review of such techniques based on (i) air mass influences on particulate matter (PM) and (ii) the study of the relationship between …
The northern regions of Thailand have been facing haze episodes and transboundary air pollution every year in which particulate matter, particularly PM10, accumulates in the air, detrimentally …
This study is interested in understanding the particulate matter perceptions and response behaviors of residents.
Mar 1, 2024 · Estimating air pollutant quantity is required for air quality regulations. This current study can provide insight into the behaviors of air pollutants and help in reducing their impacts.
Dec 19, 2023 · In this work, PM 2.5 concentration is estimated by employing concentrations of sulfur dioxide, nitrogen dioxide, and PM 10 found in the air through the application of Artificial …
The devastating health effects of particulate matter (PM 10) exposure by susceptible populace has made it necessary to evaluate PM 10 pollution. Meteorological parameters and seasonal …
Dec 1, 2021 · To address these issues, in this study, the multiple linear regression and random forest model in machine learning were applied to simulate the influence of environmental …
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