Literature DB >> 21616570

Sources of ambient volatile organic compounds and their contributions to photochemical ozone formation at a site in the Pearl River Delta, southern China.

Z H Ling1, H Guo, H R Cheng, Y F Yu.   

Abstract

The Positive Matrix Factorization (PMF) receptor model and the Observation Based Model (OBM) were combined to analyze volatile organic compound (VOC) data collected at a suburban site (WQS) in the PRD region. The purposes are to estimate the VOC source apportionment and investigate the contributions of these sources and species of these sources to the O(3) formation in PRD. Ten VOC sources were identified. We further applied the PMF-extracted concentrations of these 10 sources into the OBM and found "solvent usage 1", "diesel vehicular emissions" and "biomass/biofuel burning" contributed most to the O(3) formation at WQS. Among these three sources, higher Relative Incremental Reactivity (RIR)-weighted values of ethene, toluene and m/p-xylene indicated that they were mainly responsible for local O(3) formation in the region. Sensitivity analysis revealed that the sources of "diesel vehicular emissions", "biomass/biofuel burning" and "solvent usage 1" had low uncertainties whereas "gasoline evaporation" showed the highest uncertainty.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21616570     DOI: 10.1016/j.envpol.2011.05.001

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  19 in total

1.  Emission characteristics of VOCs emitted from consumer and commercial products and their ozone formation potential.

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2.  Microbial compositions and metabolic interactions in one- and two-phase partitioning airlift bioreactors treating a complex VOC mixture.

Authors:  Chao Wu; Peilun Xu; Yinfeng Xia; Wei Li; Sujing Li; Xiangqian Wang
Journal:  J Ind Microbiol Biotechnol       Date:  2017-06-21       Impact factor: 3.346

3.  Characterization of ambient ozone and its precursors around a coking plant.

Authors:  Guohao Li; Shuiyuan Cheng; Jianbing Li; Wei Wei; Wei Wen; Gang Wang
Journal:  Environ Monit Assess       Date:  2014-02-07       Impact factor: 2.513

4.  Personal exposure to mixtures of volatile organic compounds: modeling and further analysis of the RIOPA data.

Authors:  Stuart Batterman; Feng-Chiao Su; Shi Li; Bhramar Mukherjee; Chunrong Jia
Journal:  Res Rep Health Eff Inst       Date:  2014-06

5.  Application of spatial analysis to investigate contribution of VOCs to photochemical ozone creation.

Authors:  Mohammad Sakizadeh; Mohamed Mostafa Mohamed
Journal:  Environ Sci Pollut Res Int       Date:  2020-01-15       Impact factor: 4.223

6.  Mapping ozone source-receptor relationship and apportioning the health impact in the Pearl River Delta region using adjoint sensitivity analysis.

Authors:  M Y Wang; Steve H L Yim; G H Dong; K F Ho; D C Wong
Journal:  Atmos Environ (1994)       Date:  2020-02-01       Impact factor: 4.798

7.  Addressing extrema and censoring in pollutant and exposure data using mixture of normal distributions.

Authors:  Shi Li; Stuart Batterman; Feng-Chiao Su; Bhramar Mukherjee
Journal:  Atmos Environ (1994)       Date:  2013-10       Impact factor: 4.798

8.  Development of a standard reference material containing 22 chlorinated hydrocarbon gases at 1 μmol/mol in nitrogen.

Authors:  Ning Li; Jian Du; Jing Yang; Qiang Fan; Wen Tian
Journal:  Environ Sci Pollut Res Int       Date:  2017-09-08       Impact factor: 4.223

9.  Variability of SO₂, CO, and light hydrocarbons over a megacity in Eastern India: effects of emissions and transport.

Authors:  Chinmay Mallik; Dipanjan Ghosh; Debreka Ghosh; Ujjaini Sarkar; Shyam Lal; S Venkataramani
Journal:  Environ Sci Pollut Res Int       Date:  2014-04-16       Impact factor: 4.223

10.  Determinants of personal, indoor and outdoor VOC concentrations: an analysis of the RIOPA data.

Authors:  Feng-Chiao Su; Bhramar Mukherjee; Stuart Batterman
Journal:  Environ Res       Date:  2013-09-10       Impact factor: 6.498

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