Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment

Huanbo Wu; Xiao Liu; Wenkai Guo; Qiang Chen

doi:doi:10.11648/j.earth.20180706.13

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Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment

Huanbo Wu, Xiao Liu, Wenkai Guo, Qiang Chen

Published in Earth Sciences (Volume 7, Issue 6)

Received: 18 October 2018 Accepted: 6 November 2018 Published: 30 November 2018

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Abstract

Previous studies of source apportionment were only focused on contribution rates of pollutants concentration, but have not evaluated contribution rates of influencing degree of pollutants on people's health. To assess the health risk of pollution source to human health in the atmospheric environment, a method of source apportionment of human health risk, which the health risk assessment method combined with the source apportionment receptor model, was established in this research. Based on each pollution source contribution to metallic elements in inhalation particle matter (PM₁₀) at the sampling site of Lanzhou University, the health risks contribution rates to exposed group were estimated according to the established method, and compared with the results of source apportionment. The results were as follows: the concentration contribution rates calculated by chemical mass balance (CMB) model rank from high to low as vehicle exhaust dust (43.4%), urban fugitive dust (29.9%), coal fly ash (21.5%), construction cement dust (1.2%) and metal smelt dust (0.7%); the non-carcinogen hazard index (Rⁿ) contribution rates rank from high to low as urban fugitive dust (87.7%), vehicle exhaust dust (5.9%), coal fly ash (3.0%), metal smelt dust (2.5%) and construction cement dust (0.9%); the cancer risk value of carcinogen (R^c) contribution rates rank from high to low as urban fugitive dust (97.1%), vehicle exhaust dust (1.7%), coal fly ash (0.5%), metal smelt dust (0.5%) and construction cement dust (0.2%). Apparently, the concentration contribution rates were very different from the hazard index of non-carcinogen (Rⁿ) contribution rates and the cancer risk value (R^c) contribution rates. The source with the highest concentration contribution was not the major influence on human health. The influence of source with the contribution rate lowest concentration contribution on human health should not be ignored. This method could also be used in health risk assessment of other pollutants from other sources.

Published in	Earth Sciences (Volume 7, Issue 6)
DOI	10.11648/j.earth.20180706.13
Page(s)	268-274
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2018. Published by Science Publishing Group

Keywords

Health Risk Assessment Method, Chemical Mass Balance Model, Source Profiles, Contribution Rate, Respiratory Inhalation

References

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APA Style

Huanbo Wu, Xiao Liu, Wenkai Guo, Qiang Chen. (2018). Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment. Earth Sciences, 7(6), 268-274. https://doi.org/10.11648/j.earth.20180706.13

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ACS Style

Huanbo Wu; Xiao Liu; Wenkai Guo; Qiang Chen. Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment. Earth Sci. 2018, 7(6), 268-274. doi: 10.11648/j.earth.20180706.13

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AMA Style

Huanbo Wu, Xiao Liu, Wenkai Guo, Qiang Chen. Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment. Earth Sci. 2018;7(6):268-274. doi: 10.11648/j.earth.20180706.13

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@article{10.11648/j.earth.20180706.13,
  author = {Huanbo Wu and Xiao Liu and Wenkai Guo and Qiang Chen},
  title = {Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment},
  journal = {Earth Sciences},
  volume = {7},
  number = {6},
  pages = {268-274},
  doi = {10.11648/j.earth.20180706.13},
  url = {https://doi.org/10.11648/j.earth.20180706.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20180706.13},
  abstract = {Previous studies of source apportionment were only focused on contribution rates of pollutants concentration, but have not evaluated contribution rates of influencing degree of pollutants on people's health. To assess the health risk of pollution source to human health in the atmospheric environment, a method of source apportionment of human health risk, which the health risk assessment method combined with the source apportionment receptor model, was established in this research. Based on each pollution source contribution to metallic elements in inhalation particle matter (PM10) at the sampling site of Lanzhou University, the health risks contribution rates to exposed group were estimated according to the established method, and compared with the results of source apportionment. The results were as follows: the concentration contribution rates calculated by chemical mass balance (CMB) model rank from high to low as vehicle exhaust dust (43.4%), urban fugitive dust (29.9%), coal fly ash (21.5%), construction cement dust (1.2%) and metal smelt dust (0.7%); the non-carcinogen hazard index (Rn) contribution rates rank from high to low as urban fugitive dust (87.7%), vehicle exhaust dust (5.9%), coal fly ash (3.0%), metal smelt dust (2.5%) and construction cement dust (0.9%); the cancer risk value of carcinogen (Rc) contribution rates rank from high to low as urban fugitive dust (97.1%), vehicle exhaust dust (1.7%), coal fly ash (0.5%), metal smelt dust (0.5%) and construction cement dust (0.2%). Apparently, the concentration contribution rates were very different from the hazard index of non-carcinogen (Rn) contribution rates and the cancer risk value (Rc) contribution rates. The source with the highest concentration contribution was not the major influence on human health. The influence of source with the contribution rate lowest concentration contribution on human health should not be ignored. This method could also be used in health risk assessment of other pollutants from other sources.},
 year = {2018}
}

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TY  - JOUR
T1  - Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment
AU  - Huanbo Wu
AU  - Xiao Liu
AU  - Wenkai Guo
AU  - Qiang Chen
Y1  - 2018/11/30
PY  - 2018
N1  - https://doi.org/10.11648/j.earth.20180706.13
DO  - 10.11648/j.earth.20180706.13
T2  - Earth Sciences
JF  - Earth Sciences
JO  - Earth Sciences
SP  - 268
EP  - 274
PB  - Science Publishing Group
SN  - 2328-5982
UR  - https://doi.org/10.11648/j.earth.20180706.13
AB  - Previous studies of source apportionment were only focused on contribution rates of pollutants concentration, but have not evaluated contribution rates of influencing degree of pollutants on people's health. To assess the health risk of pollution source to human health in the atmospheric environment, a method of source apportionment of human health risk, which the health risk assessment method combined with the source apportionment receptor model, was established in this research. Based on each pollution source contribution to metallic elements in inhalation particle matter (PM10) at the sampling site of Lanzhou University, the health risks contribution rates to exposed group were estimated according to the established method, and compared with the results of source apportionment. The results were as follows: the concentration contribution rates calculated by chemical mass balance (CMB) model rank from high to low as vehicle exhaust dust (43.4%), urban fugitive dust (29.9%), coal fly ash (21.5%), construction cement dust (1.2%) and metal smelt dust (0.7%); the non-carcinogen hazard index (Rn) contribution rates rank from high to low as urban fugitive dust (87.7%), vehicle exhaust dust (5.9%), coal fly ash (3.0%), metal smelt dust (2.5%) and construction cement dust (0.9%); the cancer risk value of carcinogen (Rc) contribution rates rank from high to low as urban fugitive dust (97.1%), vehicle exhaust dust (1.7%), coal fly ash (0.5%), metal smelt dust (0.5%) and construction cement dust (0.2%). Apparently, the concentration contribution rates were very different from the hazard index of non-carcinogen (Rn) contribution rates and the cancer risk value (Rc) contribution rates. The source with the highest concentration contribution was not the major influence on human health. The influence of source with the contribution rate lowest concentration contribution on human health should not be ignored. This method could also be used in health risk assessment of other pollutants from other sources.
VL  - 7
IS  - 6
ER  -

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Author Information

Huanbo Wu

Inner Mongolia Meteorological Services Center, Hohhot, China
Xiao Liu

Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, China
Wenkai Guo

Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, China
Qiang Chen

Key Laboratory for Semi-Arid Climate Change of the Ministry of Education, College of Atmospheric Sciences, Lanzhou University, Lanzhou, China

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APA Style

Huanbo Wu, Xiao Liu, Wenkai Guo, Qiang Chen. (2018). Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment. Earth Sciences, 7(6), 268-274. https://doi.org/10.11648/j.earth.20180706.13

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ACS Style

Huanbo Wu; Xiao Liu; Wenkai Guo; Qiang Chen. Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment. Earth Sci. 2018, 7(6), 268-274. doi: 10.11648/j.earth.20180706.13

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AMA Style

Huanbo Wu, Xiao Liu, Wenkai Guo, Qiang Chen. Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment. Earth Sci. 2018;7(6):268-274. doi: 10.11648/j.earth.20180706.13

Copy | Download

@article{10.11648/j.earth.20180706.13,
  author = {Huanbo Wu and Xiao Liu and Wenkai Guo and Qiang Chen},
  title = {Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment},
  journal = {Earth Sciences},
  volume = {7},
  number = {6},
  pages = {268-274},
  doi = {10.11648/j.earth.20180706.13},
  url = {https://doi.org/10.11648/j.earth.20180706.13},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20180706.13},
  abstract = {Previous studies of source apportionment were only focused on contribution rates of pollutants concentration, but have not evaluated contribution rates of influencing degree of pollutants on people's health. To assess the health risk of pollution source to human health in the atmospheric environment, a method of source apportionment of human health risk, which the health risk assessment method combined with the source apportionment receptor model, was established in this research. Based on each pollution source contribution to metallic elements in inhalation particle matter (PM10) at the sampling site of Lanzhou University, the health risks contribution rates to exposed group were estimated according to the established method, and compared with the results of source apportionment. The results were as follows: the concentration contribution rates calculated by chemical mass balance (CMB) model rank from high to low as vehicle exhaust dust (43.4%), urban fugitive dust (29.9%), coal fly ash (21.5%), construction cement dust (1.2%) and metal smelt dust (0.7%); the non-carcinogen hazard index (Rn) contribution rates rank from high to low as urban fugitive dust (87.7%), vehicle exhaust dust (5.9%), coal fly ash (3.0%), metal smelt dust (2.5%) and construction cement dust (0.9%); the cancer risk value of carcinogen (Rc) contribution rates rank from high to low as urban fugitive dust (97.1%), vehicle exhaust dust (1.7%), coal fly ash (0.5%), metal smelt dust (0.5%) and construction cement dust (0.2%). Apparently, the concentration contribution rates were very different from the hazard index of non-carcinogen (Rn) contribution rates and the cancer risk value (Rc) contribution rates. The source with the highest concentration contribution was not the major influence on human health. The influence of source with the contribution rate lowest concentration contribution on human health should not be ignored. This method could also be used in health risk assessment of other pollutants from other sources.},
 year = {2018}
}

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TY  - JOUR
T1  - Method Established for Source Apportionment of Human Health Risk in Regional Atmospheric Environment
AU  - Huanbo Wu
AU  - Xiao Liu
AU  - Wenkai Guo
AU  - Qiang Chen
Y1  - 2018/11/30
PY  - 2018
N1  - https://doi.org/10.11648/j.earth.20180706.13
DO  - 10.11648/j.earth.20180706.13
T2  - Earth Sciences
JF  - Earth Sciences
JO  - Earth Sciences
SP  - 268
EP  - 274
PB  - Science Publishing Group
SN  - 2328-5982
UR  - https://doi.org/10.11648/j.earth.20180706.13
AB  - Previous studies of source apportionment were only focused on contribution rates of pollutants concentration, but have not evaluated contribution rates of influencing degree of pollutants on people's health. To assess the health risk of pollution source to human health in the atmospheric environment, a method of source apportionment of human health risk, which the health risk assessment method combined with the source apportionment receptor model, was established in this research. Based on each pollution source contribution to metallic elements in inhalation particle matter (PM10) at the sampling site of Lanzhou University, the health risks contribution rates to exposed group were estimated according to the established method, and compared with the results of source apportionment. The results were as follows: the concentration contribution rates calculated by chemical mass balance (CMB) model rank from high to low as vehicle exhaust dust (43.4%), urban fugitive dust (29.9%), coal fly ash (21.5%), construction cement dust (1.2%) and metal smelt dust (0.7%); the non-carcinogen hazard index (Rn) contribution rates rank from high to low as urban fugitive dust (87.7%), vehicle exhaust dust (5.9%), coal fly ash (3.0%), metal smelt dust (2.5%) and construction cement dust (0.9%); the cancer risk value of carcinogen (Rc) contribution rates rank from high to low as urban fugitive dust (97.1%), vehicle exhaust dust (1.7%), coal fly ash (0.5%), metal smelt dust (0.5%) and construction cement dust (0.2%). Apparently, the concentration contribution rates were very different from the hazard index of non-carcinogen (Rn) contribution rates and the cancer risk value (Rc) contribution rates. The source with the highest concentration contribution was not the major influence on human health. The influence of source with the contribution rate lowest concentration contribution on human health should not be ignored. This method could also be used in health risk assessment of other pollutants from other sources.
VL  - 7
IS  - 6
ER  -

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