Environmental Science and Engineering Prevention of Air Pollution

This book offers readers with analysis of the main causes and purification technology of air pollution.Air, as the primary element on which human life depends, directly impacts human living and health. However, a 2022 report from the World Health Organization indicated that "the air nearly the entire global population (99%) breathes exceeds WHO air quality limits, threatening their health". Currently, the main approaches to air pollution involve source control and the treatment of air pollutants.Analyzing the causes of air pollution is an effective method for controlling pollution from its source and preventing its spread. It is also an efficient and rapid way to identify harmful gas components and then apply targeted treatment.Currently, big data model analysis and sensor perception technology are widely used analytical techniques. Combined with chemical transport models, they can simulate and predict pollutants, achieving better causal analysis and forecasting.Additionally, air pollution purification is an important component of prevention of air pollution.Currently, the most important research direction is how to purify air pollution without causing secondary environmental contamination, in addition to physical and chemical means.This book provides engineers and researchers in the field of air pollution prevention with research findings related to this area. It aims to share specific and valuable knowledge and content to improve prevention of air pollution efforts. This book offers readers with analysis of the main causes and purification technology of air pollution.Air, as the primary element on which human life depends, directly impacts human living and health. However, a 2022 report from the World Health Organization indicated that "the air nearly the entire global population (99%) breathes exceeds WHO air quality limits, threatening their health". Currently, the main approaches to air pollution involve source control and the treatment of air pollutants.Analyzing the causes of air pollution is an effective method for controlling pollution from its source and preventing its spread. It is also an efficient and rapid way to identify harmful gas components and then apply targeted treatment.Currently, big data model analysis and sensor perception technology are widely used analytical techniques. Combined with chemical transport models, they can simulate and predict pollutants, achieving better causal analysis and forecasting.Additionally, air pollution purification is an important component of prevention of air pollution.Currently, the most important research direction is how to purify air pollution without causing secondary environmental contamination, in addition to physical and chemical means.This book provides engineers and researchers in the field of air pollution prevention with research findings related to this area. It aims to share specific and valuable knowledge and content to improve prevention of air pollution efforts.