Urbanization affects the quality of air, which has drastically degraded in past decades. Air level is determined by measures several air pollutant concentrations. To create awareness among people, an automation system that forecasts needed. The COVID-19 pandemic and restrictions it imposed on anthropogenic activities have resulted a drop pollution various cities India. overall index (AQI) at an...

The paper describes a multi-objective optimization approach to define efficient air quality control policies at regional scale. Air Quality and Cost of policy implementation are the two ingredients considered in the methodology. Both seasonal (for ozone) and yearly (for PM10) models are applied to simulate the Air Quality Index, based on Artificial Neural Networks. Results are shown at first in...

The city of Tehran undergoes an increasing growth in population as well as industrial activities, both of which increase the concentration of air pollutants. The current research tries to turn a limited and focused system of air contamination measurement and control to an unlimited and extensive one that examines the concentration of each of the contaminants in any area of Tehran. Accordingly, ...

introduction: the process of urbanism in countries that are developing, like islamic republic of iran with increasing of the number and the size of cities and the fast accepting of population have been caused the forming of problems like an in-official economics and in-official settlement and was become creating high population in main and old places of city and increasing of air pollution and ...

Outdoor air pollution is a serious problem in many developing countries today. This study focuses on monitoring the dynamic changes of air quality effectively in large cities by analyzing the spatiotemporal trends in geo-targeted social media messages with comprehensive big data filtering procedures. We introduce a new social media analytic framework to (1) investigate the relationship between ...

A linear regression model of particle pollution and an ordered logistic regression model of the relevant index were selected for observations in the US city of Los Angeles, California. Models were used to forecast Air Quality Index (AQI) from a sample, and were compared and contrasted. Methods are comparable overall but markedly different in their powers to predict certain categories. Linear re...

Air pollution control in the United States for five common pollutants--particulate matter, ground-level ozone, sulfur dioxide, nitrogen dioxide, and carbon monoxide--is based partly on the attainment of ambient air quality standards that represent a level of air pollution regarded as safe. Regulatory and health agencies often focus on whether standards for short periods are attained; the number...