Receptor Modeling for Air Quality Management Ebook

P.K. Hopke , P. K. Hopke
Publication: Elsevier Science
 
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Language: English
Publication Date: June 1991
File Size: 13022 Kbytes

Restrictions set by Publisher:
- Text-to-speech feature not available.
- Printing is permitted.
- You can copy text from file.
- Free application Adobe Digital Editions, Aldiko reader, or Bluefire reader required .
$72.95
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    Refunds are not allowed after the ebook is opened so please open the ebook directly on your intended device. Refund requests should be recieved within 7 days after download is made available. Of course, if you get an incorrect ebook ( different from what is mentioned in the title) or if the ebook doesn't open on the initial device, then we'll assist with fixing the issue or get you a refund if a timely fix isn't available.
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Language: English
Publication Date: June 1991
File Size: 6134 Kbytes

Restrictions set by Publisher:
- Text-to-speech feature not available.
- Printing is permitted.
- You can copy text from file.
- Free application Adobe Digital Editions, Aldiko reader, or Bluefire reader required .
$72.95
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ISBN: 9780080868349   Should I buy this Ebook?   Write a Review

Description

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.

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Receptor Modeling for Air Quality Management