Air Quality Monitoring and Advanced Bayesian Modeling
Air Quality Monitoring and Advanced Bayesian Modeling

Author: Yongjie Li

Publisher: Elsevier

Published: 2023-01-14

Total Pages: 324

ISBN-13: 0323902677

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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 Quality Monitoring and Forecasting
Air Quality Monitoring and Forecasting

Author: Pius Lee

Publisher: MDPI

Published: 2018-04-27

Total Pages: 211

ISBN-13: 3038428396

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

Air Quality
Air Quality

Author: Dragana Popovic

Publisher: IntechOpen

Published: 2011-07-05

Total Pages: 0

ISBN-13: 9789533073071

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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.

Advances in Air Pollution Modeling for Environmental Security
Advances in Air Pollution Modeling for Environmental Security

Author: István Faragó

Publisher: Springer Science & Business Media

Published: 2005-07-14

Total Pages: 428

ISBN-13: 9781402033490

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The protection of our environment is one of the major problems in the society. More and more important physical and chemical mechanisms are to be added to the air pollution models. Moreover, new reliable and robust control strategies for keeping the pollution caused by harmful compounds under certain safe levels have to be developed and used in a routine way. Well based and correctly analyzed large mathematical models can successfully be used to solve this task. The use of such models leads to the treatment of huge computational tasks. The efficient solution of such problems requires combined research from specialists working in different fields. The aim of the NATO Advanced Research Workshop (NATO ARW) entitled “Advances in Air Pollution Modeling for Environmental Security” was to invite specialists from all areas related to large-scale air pollution modeling and to exchange information and plans for future actions towards improving the reliability and the scope of application of the existing air pollution models and tools. This ARW was planned to be an interdisciplinary event, which provided a forum for discussions between physicists, meteorologists, chemists, computer scientists and specialists in numerical analysis about different ways for improving the performance and the quality of the results of different air pollution models.

Air Quality
Air Quality

Author: Philip John Sallis

Publisher: BoD – Books on Demand

Published: 2016-12-14

Total Pages: 198

ISBN-13: 9535127640

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Addressing the matter of air quality in a collection of focused scientific topic chapters is timely as a contribution to the international discussion and challenges of global warming and climate change. This book engages with the debate by considering some of the social, public health, economic and scientific issues that relate to the contribution made by airborne pollutants to the observable trending variances in weather, climate and atmospheric conditions. From a wide range of submissions for inclusion in the book, there are seven carefully selected chapters that individually relate to air sampling and analysis: the monitoring, measurement and modelling of air quality. The authors come from a range of academic and scientific disciplines, and each is internationally credited in his/her field. This book will appeal to scholars, to students and generally to those interested in the following contemporary thought in the matter of environment pollution, air quality and the issues of climate and atmosphere the world is facing today.

Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods
Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods

Author: Olej, Vladim¡r

Publisher: IGI Global

Published: 2010-11-30

Total Pages: 492

ISBN-13: 1609601580

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Understanding the advancement of sustainable development is critical to managing human activities to avoid the overexploitation of resources and pollution of the environment beyond tolerable levels. Sustainable development involves not only preservation and care of the environment, but also recognition of the complex relations between economic, social and living systems. Environmental Modeling for Sustainable Regional Development: System Approaches and Advanced Methods presents processing methods and their applications, which are practical for decision making and task management at the regional level as well as for scientific studies in sustainable development assessment. This book serves as a reference guide for post-graduate students in the field of management as well as a critical guide for managers, government officials, and information professionals.

Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing
Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing

Author: Y. A. Liu

Publisher: John Wiley & Sons

Published: 2023-07-25

Total Pages: 1027

ISBN-13: 3527843825

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Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing Detailed resource on the “Why,” “What,” and “How” of integrated process modeling, advanced control and data analytics explained via hands-on examples and workshops for optimizing polyolefin manufacturing. Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing discusses, as well as demonstrates, the optimization of polyolefin production by covering topics from polymer process modeling and advanced process control to data analytics and machine learning, and sustainable design and industrial practice. The text also covers practical problems, handling of real data streams, developing the right level of detail, and tuning models to the available data, among other topics, to allow for easy translation of concepts into practice. Written by two highly qualified authors, Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing includes information on: Segment-based modeling of polymer processes; selection of thermodynamic methods; estimation of physical properties for polymer process modeling Reactor modeling, convergence tips and data-fit tool; free radical polymerization (LDPE, EVA and PS), Ziegler-Natta polymerization (HDPE, PP, LLPDE, and EPDM) and ionic polymerization (SBS rubber) Improved polymer process operability and control through steady-state and dynamic simulation models Model-predictive control of polyolefin processes and applications of multivariate statistics and machine learning to optimizing polyolefin manufacturing Integrated Process Modeling, Advanced Control and Data Analytics for Optimizing Polyolefin Manufacturing enables readers to make full use of advanced computer models and latest data analytics and machine learning tools for optimizing polyolefin manufacturing, making it an essential resource for undergraduate and graduate students, researchers, and new and experienced engineers involved in the polyolefin industry.

Bayesian Data Analysis, Third Edition
Bayesian Data Analysis, Third Edition

Author: Andrew Gelman

Publisher: CRC Press

Published: 2013-11-01

Total Pages: 677

ISBN-13: 1439840954

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Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Advanced Information Networking and Applications
Advanced Information Networking and Applications

Author: Leonard Barolli

Publisher: Springer Nature

Published: 2023-03-14

Total Pages: 710

ISBN-13: 3031286944

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Networks of today are going through a rapid evolution and there are many emerging areas of information networking and their applications. Heterogeneous networking supported by recent technological advances in low power wireless communications along with silicon integration of various functionalities such as sensing, communications, intelligence and actuations are emerging as a critically important disruptive computer class based on a new platform, networking structure and interface that enable novel, low cost and high volume applications. Several of such applications have been difficult to realize because of many interconnections problems. To fulfill their large range of applications different kinds of networks need to collaborate and wired and next generation wireless systems should be integrated in order to develop high performance computing solutions to problems arising from the complexities of these networks. This volume covers the theory, design and applications of computer networks, distributed computing and information systems. The aim of the volume “Advanced Information Networking and Applications” is to provide latest research findings, innovative research results, methods and development techniques from both theoretical and practical perspectives related to the emerging areas of information networking and applications.

Receptor Modeling for Air Quality Management
Receptor Modeling for Air Quality Management

Author: P.K. Hopke

Publisher: Elsevier

Published: 1991-06-03

Total Pages: 345

ISBN-13: 0080868347

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This book presents the background and application of receptor models for the source identification and quantitative mass apportionment of airborne pollutants. Over the past decade, receptor models have become an accepted part of the process for developing effective and efficient air quality management plans. Information is provided on the ambient and source sampling and chemical analysis needed to provide the input data for receptor models. Commonly used models are described with examples so that the air quality specialist can see how these models are applied. Recent advances in several areas of the field are presented as well as the perspective of both U.S. Federal and State level air quality managers on how these models fit into the development of a management plan. The aim of the book is to provide a practical guide to persons who may be given the task of implementing receptor modeling as a part of some air quality management problem. The intention of all the chapter authors is to furnish both the basic information needed to begin doing receptor modeling as well as some insight into some of the problems related to the use of these models. These tools like any others used in solving complex technological problems are not a panacea, but do represent powerful aids in data analysis that can lead to insights as to how an airshed functions and thus, to effective and efficient air quality management strategies.