Characterization and Source Apportionment of Urban Particulate Matter PDF Download

Author: Qinyue Sun
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 278

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Author: Manousos-Ioannis Manousakas
Publisher: MDPI
ISBN: 303650995X
Category : Science
Languages : en
Pages : 246

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Book Description
Research related to ambient particulate matter (PM) remains very relevant today due to the adverse effects that PM have on human health. PM are pollutants with varying chemical compositions and may originate from multiple emission sources, which directly affects their toxicity. To formulate effective control and mitigation strategies, it is necessary to identify PM sources and to estimate their influence on ambient PM concentration, a process that is known as source apportionment (SA). Depending on the geographical location and characteristics of an area, many anthropogenic and natural sources may contribute to PM concentration levels, such as dust resuspension, sea salt, traffic, secondary aerosol formation, industrial emissions, ship emissions, biomass burning, power plant emissions, etc. Different methodological approaches have been used over the years to study the aforementioned topics, but some scientific challenges remain, mainly related to the following subjects: real-time chemical analysis and SA, uncertainty estimation of SA results, and analytical optimization for PM samples. Additionally, there are areas in the world for which the results regarding composition and sources of PM are still scarce. The objective of this collection was to include studies on all aspects of PM chemical characterization and source apportionment regarding the inorganic and/or organic fractions of PM.

Author: Norhaniza Amil
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Author: Jon G Ayres
Publisher: World Scientific
ISBN: 1783261919
Category : Medical
Languages : en
Pages : 266

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Book Description
This invaluable volume, the third in the series Air Pollution Reviews, addresses particular questions relating to air pollution and its effect on health. It deals with the impact of nasal disease on lung exposure, how pollutants are distributed within the lung, and the uncertainties with regard to defining the dose to the lung. It takes a tangential look at the lung dose by exploring the possibility of obtaining clues from occupational medicine.Toxicologically, the book examines the possible methodology for exploring how particles and their toxicity can be investigated, and looks into the cardio-toxic effects of air pollution. The effects of pollutant mixtures are compared with those of individual pollutants. In addition, the question of the importance of acid aerosols is tackled.Epidemiologically, the book deals with the problems associated with point sources as opposed to diffuse sources of air pollution, and considers whether the health effects of air pollution can be adequately quantified.These areas, though difficult, need to be addressed, in order to develop our knowledge of the health effects of air pollution. In this volume, a strong panel of authors treat the issues. They have raised questions but at the same time succeeded in solving a number of problems.

Author: Sangil Lee
Publisher:
ISBN:
Category :
Languages : en
Pages : 126

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Uncertainties of source apportionment results are important for not only health studies but also policy analysis and decision making as they can affect confidence in the final results. They should be investigated for an appropriate application of source apportionment results. Thus, uncertainty and its contributors were estimated by propagating uncertainties in input data using Monte Carlo analysis.

Author: Michael J. Kleeman
Publisher:
ISBN:
Category : Air
Languages : en
Pages : 72

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Author: Caroline Parworth
Publisher:
ISBN: 9780355594157
Category :
Languages : en
Pages : 0

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Book Description
Aerosols, or particulate matter (PM), can affect climate through scattering and absorption of radiation and influence the radiative properties, precipitation efficiency, thickness, and lifetime of clouds. Aerosols are one of the greatest sources of uncertainty in climate model predictions of radiative forcing. To fully understand the sources of uncertainty contributing to the radiative properties of aerosols, measurements of PM mass, composition, and size distribution are needed globally and seasonally. To add to the current understanding of the seasonal and temporal variations in aerosol composition and chemistry, this study has focused on the quantification, speciation, and characterization of atmospheric PM in urban and rural regions of the United States (US) for short and long periods of time. In the first two chapters, we focus on 1 month of aerosol and gas-phase measurements taken in Fresno, CA, an urban and agricultural area, during the National Aeronautics and Space Administration's (NASA) field study called DISCOVER-AQ. This air quality measurement supersite included a plethora of highly detailed chemical measurements of aerosols and gases, which were made at the same time as similar aircraft column measurements of aerosols and gases. The goal of DISCOVER-AQ is to improve the interpretation of satellite observations to approximate surface conditions relating to air quality, which can be achieved by making concurrent ground- and aircraft-based measurements of aerosols and gases. We begin in chapter 2 by exploring the urban aerosol and gas-phase dataset from the NASA DISCOVER-AQ study in California. Specifically, we discuss the chemical composition and mass concentration of water-soluble PM2.5 that were measured using a particle-into-liquid sampler with ion chromatography (PILS-IC) in Fresno, California from January 13–February 10, 2013. This data was analyzed for ionic inorganic species, organic acids and amines. Gas-phase species including HNO3 and NH3 were collected with annular denuders and analyzed using ion chromatography. Using the thermodynamic E-AIM model, inorganic particle water mass concentration and pH were calculated for the first time in this area. Organic particle water mass concentration was calculated from [kappa]-Köhler theory. In chapter 3 further analysis of the aerosol- and gas-phase data measured during DISCOVER-AQ was performed to determine the effectiveness of a local residential wood burning curtailment program in improving air quality. Using aerosol speciation and concentration measurements from the 2013 winter DISCOVER-AQ study in Fresno, CA, we investigate the impact of residential wood burning restrictions on fine particulate mass concentration and composition. Key species associated with biomass burning in this region include K+, acetonitrile, black carbon, and biomass burning organic aerosol (BBOA), which represents primary organic aerosol associated with residential wood burning. Reductions in acetonitrile associated with wood burning restrictions even at night were not observed and most likely associated with stagnant conditions during curtailment periods that led to the buildup of this long-lived gas. In chapter 4 we transition to the rural aerosol dataset from the DOE SGP site. We discuss the chemical composition and mass concentration of non-refractory submicron aerosols (NR-PM1) that were measured with an aerosol chemical speciation monitor (ACSM) at the DOE SGP site from November 2010 through June 2012. Positive matrix factorization (PMF) was performed on the measured organic aerosol (OA) mass spectral matrix using a newly developed rolling window technique to derive factors associated with distinct sources, evolution processes, and physiochemical properties. The rolling window approach captured the dynamic variations of the chemical properties of the OA factors over time. Three OA factors were obtained including two oxygenated OA (OOA) factors, differing in degrees of oxidation, and a BBOA factor. Sources of NR-PM1 species at the SGP site were determined from back trajectory analyses. NR-PM1 mass concentration was dominated by organics for the majority of the study with the exception of winter, when NH4N33 increased due to transport of precursor species from surrounding urban and agricultural regions and also due to cooler temperatures. Chapter 5 is a continuation of chapter 4, where we will explore the use of the multilinear engine (ME-2) as a factor analysis technique, which is an algorithm used for solving the bilinear model called positive matrix factorization (PMF). The importance of ME-2 and its potential application on the long-term aerosol chemical speciation monitor (ACSM) data collected from the Department of Energy (DOE) Southern Great Plains (SPG) site will be discussed. ME-2 was performed on 19 months of OA mass spectral data obtained from the ACSM at the SGP site. Evaluation of ME-2 results are presented, followed by comparison of ME-2 factor results with corresponding OACOMP factor results reported in chapter 4. We show that ME-2 can determine a biomass burning organic aerosol (BBOA) factor during periods when OACOMP cannot. (Abstract shortened by ProQuest.)

Author: Thomas Glenn Pringle
Publisher:
ISBN:
Category :
Languages : en
Pages : 346

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Author: Tarun Gupta
Publisher: Springer Nature
ISBN: 9811505403
Category : Science
Languages : en
Pages : 474

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Book Description
This book discusses contamination of water, air, and soil media. The book covers health effects of such contamination and discusses remedial measures to improve the situation. Contributions by experts provide a comprehensive discussion on the latest developments in the detection and analysis of contaminants, enabling researchers to understand the evolution of these pollutants in real time and develop more accurate source apportionment of these pollutants. The contents of this book will be of interest to researchers, professionals, and policy makers alike.

Author: Fulvio Amato
Publisher: Academic Press
ISBN: 0128117516
Category : Medical
Languages : en
Pages : 344

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Book Description
Non-Exhaust Emissions: An Urban Air Quality Problem for Public Health comprehensively summarizes the most recent research in the field, also giving guidance on research gaps and future needs to evaluate the health impact and possible remediation of non-exhaust particle emissions. With contributions from some of the major experts and stakeholders in air quality, this book comprehensively defines the state-of-the-art of current knowledge, gaps and future needs for a better understanding of particulate matter (PM) emissions, from non-exhaust sources of road traffic to improve public health. PM is a heterogeneous mix of chemical elements and sources, with road traffic being the major source in large cities. A significant part of these emissions come from non-exhaust processes, such as brake, tire, road wear, and road dust resuspension. While motor exhaust emissions have been successfully reduced by means of regulation, non-exhaust emissions are currently uncontrolled and their importance is destined to increase and become the dominant urban source of particle matter by 2020. Nevertheless, current knowledge on the non-exhaust emissions is still limited. This is an essential book to researchers and advanced students from a broad range of disciplines, such as public health, toxicology, atmospheric sciences, environmental sciences, atmospheric chemistry and physics, geochemistry, epidemiology, built environment, road and vehicle engineering, and city planning. In addition, European and local authorities responsible for air quality and those in the industrial sectors related to vehicle and brake manufacturing and technological remediation measures will also find the book valuable. Acts as the first book to explore the health impacts of non-exhaust emissions Authored by experts from several sectors, including academia, industry and policy Gathers the relevant body of literature and information, defining the current knowledge, gaps and future needs