Literature DB >> 29516426

Characterization of industrial odor sources in Binhai New Area of Tianjin, China.

Bo Han1,2, Ya-Ting Liu2,3, Jian-Hui Wu4, Yin-Chang Feng2.   

Abstract

Samples were collected from six different organized industrial odor sources in Tianjin Binhai New Area, including pharmacy, paint spraying, oil refinery, petrochemical, resin synthesis, and rubber manufacturing. Chemical analysis was conducted to identify and quantify major odorous volatile organic compounds (VOCs) and subsequently, establish source profiles. Olfactory measurement was used to characterize the sensory stimulating intensity of odorous VOCs and express them as odor concentration. The TVOC mass concentrations of these six sources were between 10.9 and 225.3 mg/m3. Toluene was the most abundant component in profiles of both pharmacy and spraying sources with abundances of 79.1 and 94%, respectively. The petrochemical source was characterized by high levels of o,m,p-xylene (more than 60%). Sulfides were identified almost solely in the rubber manufacturing source. High levels of styrene were found in the resin synthesis source, whereas the oil refinery source was dominated by halocarbons. The odor concentration of oil refinery, spraying, rubber manufacturing, and resin synthesis all exceeded the Chinese emission standards for odor pollutants (GB14554-93) during the study period. Based on industrial processing analysis and factor analysis, toluene, m,p-xylene, carbon disulfide, toluene, three types of halogenated hydrocarbons, and styrene were the markers of pharmacy, petrochemical, rubber manufacturing, spraying, oil refinery, and resin synthesis sources, respectively. Production process and factor analysis methods were used to identify the markers of each odor source, which were based on instrument analysis and olfactory measurement.

Entities:  

Keywords:  Factor analysis; Odor concentration; Odor index; Odorous volatile organic compounds; Sources profiles

Mesh:

Substances:

Year:  2018        PMID: 29516426     DOI: 10.1007/s11356-018-1596-z

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  8 in total

1.  Sensor arrays: an inspired idea or an objective measurement of environmental odours?

Authors:  R M Stuetz; J Nicolas
Journal:  Water Sci Technol       Date:  2001       Impact factor: 1.915

2.  Ambient volatile organic compound (VOC) concentrations around a petrochemical complex and a petroleum refinery.

Authors:  Eylem Cetin; Mustafa Odabasi; Remzi Seyfioglu
Journal:  Sci Total Environ       Date:  2003-08-01       Impact factor: 7.963

Review 3.  Odor compounds in waste gas emissions from agricultural operations and food industries.

Authors:  S Rappert; R Müller
Journal:  Waste Manag       Date:  2005       Impact factor: 7.145

4.  Characteristics of volatile compound emission and odor pollution from municipal solid waste treating/disposal facilities of a city in Eastern China.

Authors:  Hanwen Guo; Zhenhan Duan; Yan Zhao; Yanjun Liu; Muhammad Farooq Mustafa; Wenjing Lu; Hongtao Wang
Journal:  Environ Sci Pollut Res Int       Date:  2017-06-22       Impact factor: 4.223

5.  Industrial sector-based volatile organic compound (VOC) source profiles measured in manufacturing facilities in the Pearl River Delta, China.

Authors:  Junyu Zheng; Yufan Yu; Ziwei Mo; Zhou Zhang; Xinming Wang; Shasha Yin; Kang Peng; Yang Yang; Xiaoqiong Feng; Huihua Cai
Journal:  Sci Total Environ       Date:  2013-04-12       Impact factor: 7.963

6.  Source identification of PCDD/Fs for various atmospheric environments in a highly industrialized city.

Authors:  Wei-Shan Lee; Guo-Ping Chang-Chien; Lin-Chi Wang; Wen-Jhy Lee; Perng-Jy Tsai; Kuen-Yuh Wu; Chieh Lin
Journal:  Environ Sci Technol       Date:  2004-10-01       Impact factor: 9.028

Review 7.  Biochemical identification and biological origin of key odor components in livestock waste.

Authors:  R I Mackie; P G Stroot; V H Varel
Journal:  J Anim Sci       Date:  1998-05       Impact factor: 3.159

8.  Source apportionment of ambient non-methane hydrocarbons in Hong Kong: application of a principal component analysis/absolute principal component scores (PCA/APCS) receptor model.

Authors:  H Guo; T Wang; P K K Louie
Journal:  Environ Pollut       Date:  2004-06       Impact factor: 8.071

  8 in total
  1 in total

1.  SGA: spatial GIS-based genetic algorithm for route optimization of municipal solid waste collection.

Authors:  Louati Amal; Le Hoang Son; Habib Chabchoub
Journal:  Environ Sci Pollut Res Int       Date:  2018-07-27       Impact factor: 4.223

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.