Air Quality Monitoring And Forecasting

This book is a printed edition of the Special Issue "Air Quality Monitoring and Forecasting" that was published in Atmosphere

Air Quality Monitoring and Forecasting.

Air pollution is thus far one of the key environmental issues in urban areas. Comprehensive air quality plans are required to manage air pollution for a particular area. Consequently, air should be continuously sampled, monitored, and modeled to examine different action plans. Reviews and research papers describe air pollution in five main contexts: Monitoring, Modeling, Risk Assessment, Health, and Indoor Air Pollution. The book is recommended to experts interested in health and air pollution issues.

Air Quality Monitoring and Advanced Bayesian Modeling introduces recent developments in urban air quality monitoring and forecasting. The book presents concepts, theories, and case studies related to monitoring methods of criteria air pollutants, advanced methods for real-time characterization of chemical composition of PM and VOCs, and emerging strategies for air quality monitoring. The book illustrates concepts and theories through case studies about the development of common statistical air quality forecasting models. Readers will also learn advanced topics such as the Bayesian model class selection, adaptive forecasting model development with Kalman filter, and the Bayesian model averaging of multiple adaptive forecasting models. Covers fundamental to advanced applications of urban air quality monitoring and forecasting Includes detailed descriptions and applications of the instruments necessary for the most successful monitoring techniques Presents case studies throughout to provide real-world context to the research presented in the book

Air pollution has been a major transboundary problem and a matter of global concern for decades. High concentrations of different air pollutants are particularly harmful to large cities residents, where numerous anthropogenic activities strongly influence the quality of air. Although there are many books on the subject, the one in front of you will hopefully fulfill some of the gaps in the area of air quality monitoring and modeling, and be of help to graduate students, professionals and researchers. The book is divided in five sections, dealing with mathematical models and computing techniques used in air pollution monitoring and forecasting; air pollution models and application; measuring methodologies in air pollution monitoring and control; experimental data on urban air pollution in China, Egypt, Northeastern U.S, Brazil and Romania; and finally, the health effects due to exposure to benzene, and on the influence of air pollutants on the acute respiratory diseases in children in Mexico.

This book provides a synthesis for using IoT for indoor air quality assessment. It will help upcoming researchers to understand the gaps in the literature while identifying the new challenges and opportunities to develop healthy living spaces. On the other hand, this book provides insights about integrating IoT with artificial intelligence to design smart buildings with enhanced air quality. Consequently, this book aims to present future scope for carrying out potential research activities in this domain. Over the past few years, the Internet of Things (IoT) is proven as the most revolutionizing invention in the field of engineering and design. This technology has wide scope in automation and real-time monitoring. Indoor air quality assessment is one of the most important applications of IoT which helps in the development of smart and healthy living spaces. Numerous methods have been developed for air quality assessment to ensure enhanced public health and well-being. The combination of sensors, microcontrollers, and communication technologies can be used to handle the massive amount of field data to access the condition of building air quality.

Investigations of atmospheric pollution have recently reached a new stage. In addition to the estimation and the monitoring of pollutant concentrations in the air around their sources, by way of observational data and also by calcu lations on the basis of theoretical research, it is now possible to make short term forecasts of air pollution and to use them to regulate industrial emissions. Many countries are interested in such forecasts. In the Soviet Union the organizations of the State Committee of the USSR for Hydrometeorology (Goskomgidromet) are carrying out a wide-scale scientific programme on the devising of methods to forecast atmospheric pollution. Prognostic groups are organized in territorial hydrometeocenters; in essence a new forecasting service has been established. Nowadays, in more than 200 towns of the USSR predictions are made and transmitted to large enterprises for the purpose of taking the necessary steps to preserve air qua lity. To ensure an operative working of this service, Methodological Instruc (1979) have been issued, as well as other instructions and guides. Wide tions scale verifications of proposed calculating methods have been made. Prob lems of forecasting and regulating air pollution have become evident lately in other countries as well. Much attention to these problems is payed by the World Meteorological Organization (WMO). They have been widely dis cussed in a number of international conferences and meetings for modelling and investigating pollutant distribution in the atmosphere. The number of publications on this subject is rapidly increasing.