Download Free Air Quality And Source Apportionment Book in PDF and EPUB Free Download. You can read online Air Quality And Source Apportionment and write the review.

Atmospheric particulate matter (PM) is known to have far-ranging impacts on human health through to climate forcing. The characterization of emission sources and the quantification of specific source impacts to PM concentrations significantly enhance our understanding of, and our ability to, eventually predicting the fate and transport of atmospheric PM and its associated impacts on humans and the environment. Recent advances in source apportionment applications have contributed unique combinations of chemical and numerical techniques for determining the contributions of specific sources, including diesel exhaust and biomass burning. These advances also identify and help characterize the contributions of previously uncharacterized sources. Numerical modeling has also enabled estimations of contributions of emission sources to atmospherically processed PM in urban and rural regions. Investigation into the emissions sources driving air quality is currently of concern across the globe. This Special Issue offers studies at the intersection of air quality and source apportionment for study areas in China, Germany, Iceland, Mexico, and the United States. Studies cover diverse methods for chemical characterization and modeling of the impact of different emission sources on air quality.
Particulate matter is one of the most critical atmospheric pollutants, in terms of impact on human health, in Europe and worldwide. Understanding the role of the different sources and processes leading to its formation and transformation/evolution is essential to support the development of abatement strategies. The present guide, developed under FAIRMODE WG3 with the contribution of WG4, provides an overview, illustrates the methodologies and formulates recommendations for the application of air quality source-oriented models (SMs) in estimating contributions of sources to particulate matter. It also describes the potential of SM techniques and critically discusses the advantages and the limitations of applying simultaneously receptor models (RM) and source-oriented models (SM) in source apportionment (SA) studies. Among the source-oriented modelling methods, the document focuses on those using the Eulerian chemistry-transport models (CTMs) since they simulate both primary and secondary particulate matter directly emitted and formed from gas precursors in the atmosphere, respectively.
In the summer of 1999, an international group of experts convened in Jerusalem, Israel, in order to define the major environmental challenges facing humanity at the dawn of the new millennium and - where possible - propose ways of addressing them. Almost 50 selected articles are collected in the present book, which constitutes a striking interdisciplinary combination of state-of-the-art science with the latest views on environmental law, education, and international cooperation. Whilst a major fraction of the book is devoted to water-related issues (water quality monitoring, water and wastewater treatment, water-based international cooperation, and more), other sections deal with timely topics relating to air pollution, biodiversity, conservation, and education. The book is intended for environmental scientists, professionals, and students of all disciplines.
Information on the origin of pollution is an essential element of air quality management that helps identifying measures to control air pollution. In this document, we review the most widely used source-apportionment (SA) methods for air quality management. The focus is on particulate matter but examples are provided for NO2 as well. Using simple theoretical examples, we explain the differences between these methods and the circumstances where they give different results and thus possibly different conclusions for air quality management. These differences are a consequence of the assumptions that underpin each methodology and determine/limit their range of applicability. We show that ignoring these underlying assumptions is a risk for efficient/successful air quality management when the methods are used outside their scope or range of applicability.
This book is a printed edition of the Special Issue "Air Quality Monitoring and Forecasting" that was published in Atmosphere
Air-quality modeling tools may be useful in such investigations of the health effects of air-pollution and PM2.5 specifically. Emissions-based three-dimensional air quality models may introduce several benefits when applied in epidemiologic studies, such as improved spatial representativeness and availability/continuity of data, as well as information on source impacts. Receptor-based models are a common tool for apportioning of ambient levels of pollutants among the major contributing sources, and can be useful in discerning the relative health impacts of different sources.