Planning and Managing Regional Air Quality

Planning and Managing Regional Air Quality

Author: Paul A. Solomon

Publisher: CRC Press

Published: 1994-06-15

Total Pages: 860

ISBN-13: 9781566700597

DOWNLOAD EBOOK

This book presents the widely applicable information obtained during the planning and management of the collaborative regional air quality study known as the San Joaquin Valley Air Quality Study/Atmospheric Utility Signatures, Predictions, and Experiments (SJVAQS/AUSPEX). The extensive experience and knowledge gained during and after the study is clearly presented in this guide - an ideal working reference for developing regional and subregional air quality and meteorological field measurement and modeling studies.


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

DOWNLOAD EBOOK

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.