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Elemental Analysis of Airborne Particles
     

Elemental Analysis of Airborne Particles

by Marsha Creatchman, Sheldon Landsberger
 

ISBN-10: 9056996274

ISBN-13: 9789056996277

Pub. Date: 01/01/1999

Publisher: Taylor & Francis

An increased standard of living in developed and developing countries has brought about a distinct rise in pollution. The problem of air pollution has specifically increased the public's awareness of the environmental and health-related consequences resulting from modern day industrial technology.
This detailed collection of works devoted to the most popular

Overview

An increased standard of living in developed and developing countries has brought about a distinct rise in pollution. The problem of air pollution has specifically increased the public's awareness of the environmental and health-related consequences resulting from modern day industrial technology.
This detailed collection of works devoted to the most popular methods in elemental analysis of airborne particles offers investigators a comprehensive book on the most common laboratory analytical methods currently used in trace element analysis. Discussed are atomic absorption spectrometry, inductively coupled plasma, atomic emission, particle induced gamma ray analysis, particle elastic scattering and Rutherford backscattering, and neutron activation analysis. Specific sections on quality assurance/quality control and source receptor modeling have also been included.

Product Details

ISBN-13:
9789056996277
Publisher:
Taylor & Francis
Publication date:
01/01/1999
Series:
Advances in Environmental Process Control Series
Pages:
326
Product dimensions:
6.12(w) x 9.25(h) x 1.14(d)

Table of Contents

1. Spectroscopy Methods (ICP-AES, ICP-MS, Atomic Absorption) 2. X-Ray Fluorescence 3. Neutron Activation Analysis 4. Proton-Induced X-Ray Emission 5. Source-Receptor Modeling 6. Multielemental Methods in Air Pollution Studies 7. Ion Chromatography 8. Standard Reference Materials in Quality Assurance and Quality Control
Sampling Methodology 9. Data Basing of Large Sets of Environmental Measurements

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