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 AbstractSERS-Active MIL-100(Fe) Sensory Array for Ultrasensitive and Multiplex Detection of VOCs    Next AbstractRobustness of Bio-Inspired Visual Systems for Collision Prediction in Critical Robot Traffic »

J Air Waste Manag Assoc


Title:Sensitivity and linearity analysis of ozone in East Asia: the effects of domestic emission and intercontinental transport
Author(s):Fu JS; Dong X; Gao Y; Wong DC; Lam YF;
Address:"Department of Civil and Environmental Engineering, The University of Tennessee, 223 Perkins Hall, Knoxville, TN 37996, USA. jsfu@utk.edu"
Journal Title:J Air Waste Manag Assoc
Year:2012
Volume:62
Issue:9
Page Number:1102 - 1114
DOI: 10.1080/10962247.2012.699014
ISSN/ISBN:1096-2247 (Print) 1096-2247 (Linking)
Abstract:"In this study, ozone (O3) sensitivity and linearity over East Asia (EA) and seven urban areas are examined with an integrated air quality modeling system under two categories of scenarios: (1) The effects of domestic emission are estimated under local emission reduction scenarios, as anthropogenic NO(x) and volatile organic compounds (VOC) emissions are reduced by 20%, 50%, and 100%, respectively and independently; and (2) the influence of intercontinental transport is evaluated under Task Force on Hemispheric Transport of Air Pollution (TF HTAP) emission reduction scenarios, as anthropogenic NO(x) emission is reduced by 20% in Europe (EU), North America (NA), and South Asia (SA), respectively. Simulations are conducted for January and July 2001 to examine seasonal variation. Through the domestic O3 sensitivity investigation, we find O3 sensitivity varies dynamically depending on both time and location: North EA is VOC limited in January and NO(x) limited in July, except for the urban areas Beijing, Shanghai, Tokyo, and Seoul, which are VOC limited in both months; south EA is NO(x) limited in both January and July, except for the urban areas Taipei, which is VOC-limited in both months, and Pearl River Delta, which is VOC limited in January. Surface O3 change is found to be affected more by NO(x) than by VOC over EA in both January and July. We also find different O3 linearity characteristics among urban areas in EA: O3 at Beijing, Tokyo, and Seoul shows a strong negative linear response to NO(x) emission in January; O3 at Shanghai, Pearl River Delta, and Taipei shows a strong positive response to VOC emission in both January and July. Through the long-range transport investigation, monthly O3 changes over EA resulting from different source regions indicate the largest source contribution comes from NA (0.23 ppb), followed by SA (0.11 ppb) and EU (0.10 ppb). All of the three regions show higher impacts in January than in July. IMPLICATIONS: This study examine O3 sensitivities and linear response of NO(x) and VOC emission over EA and seven urban areas based on regional air quality modeling system MM5/CMAQ. We also quantify the intercontinental transport effect from EU, SA, and NA over EA. The result provide a theoretical basis for emission control strategy design in EA, and also reveal the O3 special nonlinearity features for further related studies that are applicable to other continents. The HTAP multimodel experiments need to examine the potential impacts on ground-level O3 of changes in meteorology and transport patterns expected as a result of the regional scale"
Keywords:"Air Pollutants/*analysis Asia, Eastern Models, Theoretical Nitrogen Oxides/*analysis Ozone/*analysis Seasons Transportation Vehicle Emissions/*analysis Volatile Organic Compounds/*analysis;"
Notes:"MedlineFu, Joshua S Dong, Xinyi Gao, Yang Wong, David C Lam, Yun Fat eng Research Support, U.S. Gov't, Non-P.H.S. 2012/10/02 J Air Waste Manag Assoc. 2012 Sep; 62(9):1102-14. doi: 10.1080/10962247.2012.699014"

 
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 22-11-2024