Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractQuantitative analysis of acetates in cigarette tobacco using solid-phase microextraction and gas chromatography-mass spectrometry    Next AbstractAn RGS protein regulates the pheromone response in the fission yeast Schizosaccharomyces pombe »

J Air Waste Manag Assoc


Title:Source apportionment: findings from the U.S. Supersites Program
Author(s):Watson JG; Chen LW; Chow JC; Doraiswamy P; Lowenthal DH;
Address:"Division of Atmospheric Sciences, Desert Research Institute, Reno, NV 89512, USA. john.watson@dri.edu"
Journal Title:J Air Waste Manag Assoc
Year:2008
Volume:58
Issue:2
Page Number:265 - 288
DOI: 10.3155/1047-3289.58.2.265
ISSN/ISBN:1096-2247 (Print) 1096-2247 (Linking)
Abstract:"Receptor models are used to identify and quantify source contributions to particulate matter and volatile organic compounds based on measurements of many chemical components at receptor sites. These components are selected based on their consistent appearance in some source types and their absence in others. UNMIX, positive matrix factorization (PMF), and effective variance are different solutions to the chemical mass balance (CMB) receptor model equations and are implemented on available software. In their more general form, the CMB equations allow spatial, temporal, transport, and particle size profiles to be combined with chemical source profiles for improved source resolution. Although UNMIX and PMF do not use source profiles explicitly as input data, they still require measured profiles to justify their derived source factors. The U.S. Supersites Program provided advanced datasets to apply these CMB solutions in different urban areas. Still lacking are better characterization of source emissions, new methods to estimate profile changes between source and receptor, and systematic sensitivity tests of deviations from receptor model assumptions"
Keywords:"Air Pollution/*statistics & numerical data Algorithms *Environmental Restoration and Remediation Models, Theoretical United States United States Environmental Protection Agency;"
Notes:"MedlineWatson, John G Chen, L W Antony Chow, Judith C Doraiswamy, Prakash Lowenthal, Douglas H eng Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. 2008/03/06 J Air Waste Manag Assoc. 2008 Feb; 58(2):265-88. doi: 10.3155/1047-3289.58.2.265"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 04-12-2024