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 AbstractIdentification of QTL controlling volatile terpene contents in tea plant (Camellia sinensis) using a high-aroma 'Huangdan' x 'Jinxuan' F(1) population    Next AbstractDifferences of the oxidation process and secondary organic aerosol formation at low and high precursor concentrations »

Environ Sci Technol


Title:Diagnostic modeling of PAMS VOC observation
Author(s):Chen SP; Liu TH; Chen TF; Yang CF; Wang JL; Chang JS;
Address:"Institute of Atmospheric Physics and Department of Chemistry, National Central University, Taiwan"
Journal Title:Environ Sci Technol
Year:2010
Volume:44
Issue:12
Page Number:4635 - 4644
DOI: 10.1021/es903361r
ISSN/ISBN:0013-936X (Print) 0013-936X (Linking)
Abstract:"Although a number of gas-phase chemical mechanisms, such as CBM-IV, RADM2, and SAPRC have been successful in studying gas-phase atmospheric chemical processes, they all used different combinations of lumped organic species to describe the role of organics in gas-phase chemical processes. Photochemical Assessment Monitoring Stations (PAMS) have been in use for over a decade and yet it is not clear how the detailed organic species measured by PAMS compare to the lumped modeled species. By developing a detailed mechanism specifically for the PAMS organics and embedding this diagnostic model within a regional-scale transport and chemistry model, one can then directly compare PAMS observation with regional-scale model simulations. By means of this comparison one can perhaps better evaluate model performance. The Taiwan Air Quality Model (TAQM) was modified by adding a submodel with transport processes and chemical mechanism for interactions of the 56 species observed by PAMS. It is assumed that TAQM can simulate the overall regional-scale environment including time evolution of oxidants and radicals; these results are then used to simulate the evolution of PAMS organics with species-specific source functions, meteorological transport, and chemical interactions. Model simulations of each PAMS organic were compared with PAMS hourly surface measurements. A case study with data collected at three sites in central Taiwan showed that when meteorological simulations were comparable with observations, diurnal patterns of most organics performed well with PAMS data after emissions were corrected. It is found emissions of over half of the PAMS species require correction, some by surprisingly large factors. With such correlation, simulated time evolution of ratios of ethylbenzene/m,p-xylenes and ethane/n-butane showed similar behaviors as shown by observation data. From the results of PAMS organics diurnal variations as well as indicator ratios, one can conclude that PAMS Air Quality Model (PAMS-AQM) has been successfully developed and can be applied to the study of evolution of PAMS organics in regional and urban environments. Further, one finds that an existing VOC emissions estimation procedure heavily dependent on U.S.-data based emissions speciation factors is suspect in application in Taiwan and perhaps in other countries as well. A protocol, using PAMS-AQM for testing consistency between detailed VOC emissions and PAMS observations, has been developed and demonstrated"
Keywords:"Air/standards Butanes/analysis Computer Simulation Cyclohexanes/analysis Environmental Monitoring/*methods Ethane/analysis Geography *Models, Chemical Photochemistry/*methods Taiwan Time Factors Volatile Organic Compounds/*analysis Xylenes/analysis;"
Notes:"MedlineChen, Sheng-Po Liu, Tsun-Hsien Chen, Tu-Fu Yang, Chang-Feng Ou Wang, Jia-Lin Chang, Julius S eng 2010/05/19 Environ Sci Technol. 2010 Jun 15; 44(12):4635-44. doi: 10.1021/es903361r"

 
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 27-12-2024