Accurate, timely air quality index (AQI) forecasting helps industries in selecting the most suitable pollution control measures and public reducing harmful exposure to pollution. This article proposes a comprehensive method forecast AQIs. Initially, work focused on predicting hourly ambient concentrations of PM2.5 PM10 using artificial neural networks. Once was developed, extended prediction ot...

Air pollution is a serious concern with the developing economics in India and gets more severe when it has major cities ranked among top 30 polluted worldwide. To find solution, different programs and/or policies have been launched for air quality management country-wide. Unfortunately, no such plan could effectively solve purpose rather than an unexpected COVID-19 pandemic situation India. Our...

Accurate air quality index (AQI) forecasting makes a difference to public health, local economic development, and ecological environment. As typical geographical datum, the spatial autocorrelation (SAC) of AQI is often ignored, which may violate assumptions some models, such as machine learning requires variables be independent identically distributed. Considering strong SAC AQI, this study pro...

Abstract Air quality index (AQI) is a number used by government agencies to communicate the public how polluted air currently. It based on several factors like SO2, NO2, O3, RSPM/PM10, and PM2.5. Several methods were developed in past various researchers/environmental for determination of AQI. Still, there no universally accepted method that exists, which appropriate all situations. We have pre...

The effects of 9 precipitation events in Suzhou City Anhui Province, China, on the air quality index (AQI), PM2.5, and dry deposition flux PCDD/Fs (polydibenzo-p-dioxins polydibenzofurans) were investigated. A total 7 positive contributes to reduction AQI; among them, AQI between 23 216, with an average 75, PM2.5 concentrations 5.0 169 µg m–3, 25 while total- PCDD/F-TEQ ranged from 149 1034 pg ...

At present, due to the rapid development of domestic economy, environmental pollution problems are becoming increasingly serious, especially such as PM2.5 and PM10 caused by industrial emissions waste gas most urgent. The general linear profile model multivariate exponential weighted moving average control chart (MEWMA) is designed perform monitoring evaluating air quality index (AQI) in Tianji...

Background: Risk factors of non-communicable disease (NCD) origin from early life, and exposure to environmental pollutant may be a predisposing factor. This study aimed to investigate the association of air quality index (AQI) and fine particulate matter (PM2.5) with some NCD risk factors in a sample of Iranian children and adolescents. Materials and Methods: This cross-sectional study was con...