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Author: Yongjie Li
Publisher: Elsevier
ISBN: 0323902677
Category : Science
Languages : en
Pages : 324
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Book Description
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
Author: Yongjie Li
Publisher: Elsevier
ISBN: 0323902677
Category : Science
Languages : en
Pages : 324
Get Book Here
Book Description
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
Author: Y. A. Liu
Publisher: John Wiley & Sons
ISBN: 3527843825
Category : Technology & Engineering
Languages : en
Pages : 1027
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Book Description
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.
Author: Xiaojun X. Yang
Publisher: John Wiley & Sons
ISBN: 111962584X
Category : Technology & Engineering
Languages : en
Pages : 532
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Book Description
Urban Remote Sensing The second edition of Urban Remote Sensing is a state-of-the-art review of the latest progress in the subject. The text examines how evolving innovations in remote sensing allow to deliver the critical information on cities in a timely and cost-effective way to support various urban management activities and the scientific research on urban morphology, socio-environmental dynamics, and sustainability. Chapters are written by leading scholars from a variety of disciplines including remote sensing, GIS, geography, urban planning, environmental science, and sustainability science, with case studies predominately drawn from North America and Europe. A review of the essential and emerging research areas in urban remote sensing including sensors, techniques, and applications, especially some critical issues that are shifting the directions in urban remote sensing research. Illustrated in full color throughout, including numerous relevant case studies and extensive discussions of important concepts and cutting-edge technologies to enable clearer understanding for non-technical audiences. Urban Remote Sensing, Second Edition will be of particular interest to upper-division undergraduate and graduate students, researchers and professionals working in the fields of remote sensing, geospatial information, and urban & environmental planning.
Author: Andrew Gelman
Publisher: CRC Press
ISBN: 1439840954
Category : Mathematics
Languages : en
Pages : 677
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Book Description
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.
Author: Amit Kumar
Publisher: Elsevier
ISBN: 032395796X
Category : Technology & Engineering
Languages : en
Pages : 424
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Book Description
Earth Observation in Urban Monitoring: Techniques and Challenges presents the latest techniques of remote sensing in urban monitoring, along with methods for quantitative and qualitative assessment using state-of-the-art Earth observation technologies. The book details the advances of remote sensing technologies in urban environmental monitoring for a range of practical and research applications, Earth observation datasets, remote sensing of environmental considerations, geostatistical techniques and resilience perspectives. Chapters cover sensor applications, urban growth modelling, SAR applications, surveying techniques, satellite time series analysis and a variety of other remote sensing technologies for urban monitoring. Each chapter includes detailed case studies at a variety of scales and from a variety of geographies, offering up-to-date, global, urban monitoring methodologies for researchers, scientists and academics in remote sensing, geospatial research, environmental science and sustainability. - Focuses on a variety of interdisciplinary applications using Earth observation data, GIS and soft computing techniques to address various challenges in urban monitoring - Provides numerous case studies at a variety of scales, from local to global, to aid readers in implementing urban monitoring techniques at any level - Includes theoretical and applied research contributions along with background information on the use of concurrent technologies in the disciplines of urban studies
Author: Tim Brown
Publisher: John Wiley & Sons
ISBN: 9781444314779
Category : Science
Languages : en
Pages : 640
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Book Description
This Companion provides a comprehensive account of health and medical geography and approaches the major themes and key topics from a variety of angles. Offers a unique breadth of topics relating to both health and medical geography Includes contributions from a range of scholars from rising stars to established, internationally renowned authors Provides an up-to-date review of the state of the sub-discipline Thematically organized sections offer detailed accounts of specific issues and combine general overviews of the current literature with case study material Chapters cover topics at the cutting edge of the sub-discipline, including emerging and re-emerging diseases, the politics of disease, mental and emotional health, landscapes of despair, and the geography of care
Author: Thomas Levander
Publisher: Nordic Council of Ministers
ISBN: 9289327421
Category :
Languages : en
Pages : 79
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Book Description
This report has been produced by the International Cryosphere Climate Initiative (ICCI) under a grant from the Nordic Council of Ministers under its Arctic Cooperation Program, as part of a pilot project to reduce emissions of black carbon reaching the Arctic from residential heating from wood burning in Nordic countries. The report reviews legislation and other measures in the Nordic countries pertinent to the reduction of particulate matter (PM2.5) and Black Carbon (BC) –soot. It then assesses the effectiveness of the different policy instruments used in the Nordic countries as well as points to measures which may be most effective in reducing emissions of Black Carbon and PM2.5 from wood burning.
Author: Mark J. Nieuwenhuijsen
Publisher: Oxford University Press, USA
ISBN: 0199378789
Category : Medical
Languages : en
Pages : 417
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Book Description
This completely updated edition of Exposure Assessment in Environmental Epidemiology offers a practical introduction to exposure assessment methodologies in environmental epidemiologic studies. In addition to methods for traditional methods -- questionnaires, biomonitoring -- this new edition is expanded to include geographic information systems, modeling, personal sensoring, remote sensing, and OMICs technologies. In addition, each of these methods is contextualized within a recent epidemiology study, maximizing illustration for students and those new to these to these techniques. With clear writing and extensive illustration, this book will be useful to anyone interested in exposure assessment, regardless of background.
Author: Douw G. Steyn
Publisher: Springer
ISBN: 9400755775
Category : Science
Languages : en
Pages : 738
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Book Description
Recent developments in air pollution modeling and its application are explored here in contributions by researchers at the forefront of their field. The book is focused on local, urban, regional and intercontinental modeling; data assimilation and air quality forecasting; model assessment and evaluation; aerosol transformation; the relationship between air quality and human health and the interaction between climate change and air quality. The work will provide useful reference material for students and professors interested in air pollution modeling at the graduate level as well as researchers and professionals involved in developing and utilizing air pollution models.
Author: Michela Cameletti
Publisher: Springer
ISBN: 303001584X
Category : Mathematics
Languages : en
Pages : 141
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Book Description
This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation. The topics covered include: detecting disease clusters, analysing harvest data, change point detection in ground-level ozone concentration, modelling atmospheric aerosol profiles, predicting wind speed, precipitation prediction and analysing spatial cylindrical data. The volume presents revised versions of selected contributions submitted at the joint TIES-GRASPA 2017 Conference on Climate and Environment, which was held at the University of Bergamo, Italy. As it is chiefly intended for researchers working at the forefront of statistical research in environmental applications, readers should be familiar with the basic methods for analysing spatial and spatio-temporal data.
