Prevention of Air Pollution
Description
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.
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Qiang Wang, Professor and Doctoral Tutor of Beijing Forestry University. He is the Recipient of the National Natural Science Foundation Excellent Youth Project, outstanding talents of the New Century of the Ministry of Education, Youth Top Talent of National Environmental Protection Professional and Technical. Now he is the deputy editor of Sci. Adv. Mater., the responsible editor of J. Energy Chem., the youth editorial Board of Front. Environ. Sci. Eng., the editorial board of Catalysts, and etc. He mainly engaged in comprehensive treatment of multiple pollutants (NOx, VOCs, and CO2) in industrial flue gas. He has published more than 190 SCI papers, H index 47, cited more than 11,000 times. He has presided over more than 10 topics at various levels, written 3 English monographs, obtained 12 authorized patents, and won 2 provincial and ministerial science and technology awards.
About Ahmad Hosseini-Bandegharaei: Ahmad Hosseini-Bandegharaei, Professor in Faculty of Chemistry, Semnan University, Semnan, Iran. He has been recognized as one of the world's top 1% scientists in 2021 and 2022. He does research in Environmental Chemistry, Analytical Chemistry, and Chemical Engineering. He has published more than 110 Book chapters and articles in the peer-reviewed scientific journals, and published more than 20 articles in international and national symposia as lecture. H index 54, cited more than 11671 times. he also has had the role of director in more than 50 research projects.Content
Research on the current situation of carbon emissions in the power industry and its low carbon communication suggestions in jiangsu zhejiang and shanghai.- Construction of low carbon evaluation index model in carbon neutral coal mine area.- Potential of rice husk biochar in cement mortar for carbon capture and storage.- Study on carbon emissions from open pit mines from the perspective of life cycle.- Low carbon and economic effects of coal mine methane emission.- Modeling analysis of the adsorption desorption process of activated carbon canister in on board refueling vapor recovery system.- Simulation of hydrogen doped natural gas venting and station safety distance study.- Research on regional carbon emission prediction method based on gra pca transformer.- Modeling of unorganized carbon dioxide diffusion in industrial parks.- Study on carbon ash separation of coal gasification fine slag by flotation with composite collector.- Spatial and temporal characteristics and evaluation of environmental factors of large scale photovoltaic power stations.- Experimental study on water rock coupling of red sandstone. Research on the evaluation of water resource utilization efficiency in taiyuan city based on promethee method.- System design of artificial intelligence and digital twins for smart fusion materials.- Impact of climate change on Hemibarbus guttatus habitats a maxent model based prediction.- Study on airworthiness calculation method of co2 emission of civil aircraft and emission reduction.- Molecular dynamics simulation of the sorption behavior of organic pollutants by organomontmorillonite.- Catalytic degradation of tetracycline by coreshell comnnc nanoparticles via enhanced peroxymonosulfate activation.- Kinetic analysis of n desorption in Chemical looping ammonia synthesis.- Analysis of emission reduction effect of Plug in hybrid passenger cars based on the perspective of life cycle.- Optimized analysis of greenhouse sprayer effects via the porous model.- Predicting air pollution from chinese listed Companies a gradient boosting regression tree approach.- A novel cnn transformer fusion framework for accurate prediction of nh3 emissions from diesel vehicles.- Investigation on the condensation effect of particulate matter under the action of sound waves in different working conditions.- Performance evaluation of the malodorous gas monitor.- Enhanced co oxidation via the dynamic formation of single atom active site from ceria supported cu cluster.- Research on refueling emissions based on unsteady multivariate predictive model.- Novel insights into anaerobic digestion of different compositions in lignocellulosic biomass focus on biomethane production potential kinetic analysis and microbial community characteristics.- The performance study of the catering odor generating device.
