Abstract The purpose of this study is to determine and analyze several variables that affect the Air Quality Index (AQI) in Indonesia 2012 – 2019. data used secondary form panel related AQI, circular economy, digital economy 34 provinces period were retrieved from Ministry Environment Forestry (KLHK), Central Statistics Agency (BPS) Provincial Sanitation Office (DKK) Indonesia. analytical tool ...

BACKGROUND Given the importance of physical activity to well-being, there is a need to encourage people to be physically active year-round. At the same time, many people are vulnerable to adverse health effects from air pollution, especially on smog alert days. This study was undertaken to determine when air pollution levels tend to be lowest so that the public can modify strenuous outdoor acti...

In recent years, frequent occurrences of significant air pollution events in China have routinely caused panic and are a major topic of discussion by the public and air pollution experts in government and academia. Therefore, this study proposed an efficient visualization method to represent directly, quickly, and clearly the spatio-temporal information contained in air pollution data. Data qua...

BACKGROUND We quantified the air quality benefits of a smoke-free workplace law in Boston Massachusetts, U.S.A., by measuring air pollution from secondhand smoke (SHS) in 7 pubs before and after the law, comparing actual ventilation practices to engineering society (ASHRAE) recommendations, and assessing SHS levels using health and comfort indices. METHODS We performed real-time measurements ...

This research work presents data of the ambient air quality status of Ariyalur district of Tamilnadu, India. The air quality was assessed based on new national ambient air quality standard. The selected parameters were PM2.5, PM10, SO2, NO2. The average value of PM10 was found beyond the permissible limit at near power plant and near coal mill. The outcome of the study has been presented in the...

Based on Beijing’s Air Quality Index (AQI) and concentration changes of the six major pollutants from 2019 to 2021, results are visualized through descriptive statistics, air pollution status influencing factors AQI analyzed using ARIMA model neural network. A forecast system is built fitting effects two models compared. The show that PM2.5, PM10, O3 have greatest impact AQI. quality now shows ...

Air quality is indicated by the Quality Index (AQI). Prediction or classification of AQI an important research issue because it can impact many factors, such as environment, health, transportation, agriculture, plantations, tourism, and education. The purpose this study to predict using a decision tree. results calculating performance tree method that implements discretization technique show ve...

Objective The objective of the study was to analyze the effect of environmental factors on the differential expression of microRNAs in the peripheral blood of migratory and local patients in northern People's Republic of China and on clinical symptoms of local patients in northern People's Republic of China with COPD. Methods A total of 118 patients in the northern region and 8 migratory pati...