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Effect of Construction Dust on Urban PM2.5 Emission Characteristics:A Case Study of the Main Urban Area of Chongqing, China


Affiliations
1 School of Construction, Management and Real Estate, Chongqing University, Chongqing, 400045, China
2 School of Build Environment, University of Reading, Reading, RG6 6AW, United Kingdom
 

This paper attempts to accurately evaluate the contribution of construction dust to China's PM2.5 emissions in order to increase environmental authorities' efficiency at managing emissions in urban environments. The study was conducted in the main urban area of Chongqing. Three typical construction sites were designated as the study area, where PM2.5 emission concentration data were collected through field investigation and processed by an AERMOD model. PM2.5 emission intensity and annual average PM2.5 emissions from construction dust in the study area were also ascertained. The results showed that the PM2.5 emission intensity and annual average PM2.5 emissions from construction dust in the study area were 0.0059 kg/m2 month and 6220.5 t, respectively. The PM2.5 emission concentration of construction dust showed a negative correlation with real-time wind speed. This paper's conclusions can serve as a reference for related departments that make decisions on PM2.5 emission management.

Keywords

Construction Dust, PM2.5 Emission, AERMOD Model.
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  • Chang, C., Chang, Y. and Lin, W. et al. 2010. Fugitive dust emission source profiles and assessment of selected control strategies for particulate matter at gravel processing sites in Taiwan. Journal of the Air & Waste Management Association, 60(10): 1262-1268.

  • Chang, Y., Hu, W. and Su, K. et al. 2014. PM10 Emissions reduction from exposed areas using grass-planted covering: Field study of a construction site. Journal of Environmental Engineering, 140(6): 601-612.

  • Chen, M. 2013. Analysis on the distribution of PAHs in PM10 and PM2.5 in Chongqing. Chongqing: Master Degree Thesis of Southwest University, China.

  • Huang, Y. M. 2006. Research on estimation and distribution characteristics of urban fugitive dust. Shanghai: Master Degree Thesis of East China Normal University, China.

  • Frost, K. D. 2014. AERMOD performance evaluation for three coal-fired electrical generating units in Southwest Indiana. Journal of the Air & Waste Management Association, 64 (3):280-290.

  • Gulia, S., Shrivastava, A. and Nema, A. et al. 2015. Assessment of urban air quality around a heritage site using AERMOD: A case study of Amritsar city, India. Environmental Modeling & Assessment, 20(6): 599-608.

  • Han, S., Youn, J. and Jung, Y. 2011. Characterization of PM10 and PM2.5 source profiles for resuspended road dust collected using mobile sampling methodology. Atmospheric Environment, 45(20): 3343-3351.

  • Huang, Q., Cheng, S. Y. and Li, Y. P. et al. 2010. An integrated MM5-CAMx modeling approach for assessing PM10 contribution from different sources in Beijing, China. Journal of Environmental Informatics, 15(2): 47-61.

  • Huang, Q., Cheng, S. and Li, J. et al. 2012. Assessment of PM10 emission sources for priority regulation in urban air quality management using a new coupled MM5-CAMx-PSAT modeling approach. Environmental Engineering Science, 29(5): 343-349.

  • Kim, E. 2015. The Effect of Construction on ambient PM10 in the surrounding area - focusing on the field case research. Journal of Environmental Health Sciences, 41(3): 163-170.

  • Kong, S., Ji, Y. and Lu, B. et al. 2011. Characterization of PM10 source profiles for fugitive dust in Fushun-a city famous for coal. Atmospheric Environment, 45(30): 5351-5365.

  • Li, N., Long, X. and Tie, X. et al. 2016. Urban dust in the Guanzhong basin of China, part II: A case study of urban dust pollution using the WRFDust model. Science of the Total Environment, 54(1): 1614-1624.

  • Ni, T., Han, B. and Bai, Z. 2012. Source Apportionment of PM10 in four cities of Northeastern China. Aerosol and Air Quality Research, 12(4): 571-582.

  • Querol, X., Alastuey, A. and Viana, M. M. et al. 2004. Speciation and origin of PM10 and PM2.5 in Spain. Journal Of Aerosol Science, 35(9): 1151-1172.

  • Ssntacatalina, M., Reche, C. and Minguillon, M. C. et al. 2010. Impact of fugitive emissions in ambient PM levels and composition A case study in southeast Spain. Science of the Total Environment, 408(21): 4999-5009.

  • Sik, K. Y., Choi, W. and Joong, O. K. 2009. A Study of the amount of fugitive dust generated from new harbor construction site and the prediction of effect using Aermod. Journal of Environmental Health Sciences, 35(4): 304-314.

  • Su, K., Chang, Y., Hu, W., Chen, S. and WU, C. et al. 2010. Comparison of reduction efficiency of woven straw for entrained emissions of particulate matter with diameters less than 10 mu m (PM10) and less than 2.5 mu m (PM2.5) from exposed areas at construction sites. Canadian Journal of Civil Engineering, 37(5): 787-795.

  • Tartakovsky, D., Broday, D. M. and Stern, E. 2013. Evaluation of AERMOD and CALPUFF for predicting ambient concentrations of total suspended particulate matter (TSP) emissions from a quarry in complex terrain. Environmental Pollution, 17(9): 138-145.

  • Tian, G., Li G., Yan B. L. and Huang, Y. H. et al. 2008. Spatial dispersion laws of fugitive dust from construction sites. Environmental Science, 1: 259-262.

  • Wang, T., Jiang, F. and Deng, J. et al. 2012. Urban air quality and regional haze weather forecast for Yangtze River Delta region. Atmospheric Environment, 58 (SI): 70-83.

  • Wang, Z., Hua, L. and Hu Y. Q. et al. 2007. Diameter distribution of particles from fugitive emission sources in Beijing. Environmental Monitoring in China, 2: 75-78.

  • Wen, L. L. 2011. Numerical Simulation of the Spatial Migration Rule of Fugitive Dusts at Urban Building Construction Sites. Lanzhou: Master Degree Thesis of Lanzhou University, China.

  • Zhao, P. S., Feng, Y. C. and Jin, J. et al. 2009. Characteristics and control indicators of fugitive dust from building construction sites. Journal of Environmental Sciences, 8: 1618-1623.

  • Zhao, X. Y., Cheng, S. Y. and Tian, G. et al. 2007. Construction fugitive dust pollution and control in Beijing. Journal of Beijing University of Technology, 10: 1086-1090.


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  • Effect of Construction Dust on Urban PM2.5 Emission Characteristics:A Case Study of the Main Urban Area of Chongqing, China

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Authors

Du Yongjie
School of Construction, Management and Real Estate, Chongqing University, Chongqing, 400045, China
Ren Hong
School of Construction, Management and Real Estate, Chongqing University, Chongqing, 400045, China
Cai Weiguang
School of Construction, Management and Real Estate, Chongqing University, Chongqing, 400045, China
Qin Beibei
School of Build Environment, University of Reading, Reading, RG6 6AW, United Kingdom
Ma XianRui
School of Construction, Management and Real Estate, Chongqing University, Chongqing, 400045, China

Abstract


This paper attempts to accurately evaluate the contribution of construction dust to China's PM2.5 emissions in order to increase environmental authorities' efficiency at managing emissions in urban environments. The study was conducted in the main urban area of Chongqing. Three typical construction sites were designated as the study area, where PM2.5 emission concentration data were collected through field investigation and processed by an AERMOD model. PM2.5 emission intensity and annual average PM2.5 emissions from construction dust in the study area were also ascertained. The results showed that the PM2.5 emission intensity and annual average PM2.5 emissions from construction dust in the study area were 0.0059 kg/m2 month and 6220.5 t, respectively. The PM2.5 emission concentration of construction dust showed a negative correlation with real-time wind speed. This paper's conclusions can serve as a reference for related departments that make decisions on PM2.5 emission management.

Keywords


Construction Dust, PM2.5 Emission, AERMOD Model.

References