"The combination of scientific and institutional integrity represented by this book is unusual. It should be a model for future endeavors to help quantify environmental risk as a basis for good decisionmaking." â€"William D. Ruckelshaus, from the foreword. This volume, prepared under the auspices of the Health Effects Institute, an independent research organization created and funded jointly by the Environmental Protection Agency and the automobile industry, brings together experts on atmospheric exposure and on the biological effects of toxic substances to examine what is knownâ€"and not knownâ€"about the human health risks of automotive emissions.

Presented here is an account of industrial and general air pollution problems in view of air quality management, community and industrial health aspects, emission inventorying, emission and air quality measurement techniques, dispersion phenomena and control technologies. Moreover, several case studies from automotive and manufacturing processes as well as some country reports are presented. Finally, the global warming problem (greenhouse effect), atmospheric carbon dioxide build-up and radiation hazards involved in the atmosphere are discussed.

Concentrates on the wider industrial considerations, the key business and technology drivers which govern the way industry responds to the demands for ever lower emissions. It illustrates how industry can formulate policy through techniques such as Integrated Pollution Prevention and Control.

This book is organized in 2 volumes and 6 parts. Part I is Big Data Analytics, which is about new advances of analysis, statistics, coordination and data mining of big data; Part II is Information Systems Management, which is about the development of big data information system or cloud platform. Part III is Computing Methodology with Big Data, which is about the improvements of traditional computation technologies in the background of big data; Part IV is Uncertainty Decision Making, which is about the decision making methods with various uncertain information, such as fuzzy, random, rough, gray, unascertained. Part V is Intelligence Algorithm. Part VI is Data Security, which is a particularly important aspect in the modern management environment.