Literature DB >> 26705547

Assessment of the long-term impacts of PM10 and PM2.5 particles from construction works on surrounding areas.

Farhad Azarmi1, Prashant Kumar2, Daniel Marsh3, Gary Fuller3.   

Abstract

Construction activities are common across cities; however, the studies assessing their contribution to airborne PM10 (≤10 μm) and PM2.5 (≤2.5 μm) particles on the surrounding air quality are limited. Herein, we assessed the impact of PM10 and PM2.5 arising from construction works in and around London. Measurements were carried out at 17 different monitoring stations around three construction sites between January 2002 and December 2013. Tapered element oscillating microbalance (TEOM 1400) and OSIRIS (2315) particle monitors were used to measure the PM10 and PM2.5 fractions in the 0.1-10 μm size range along with the ambient meteorological data. The data was analysed using bivariate concentration polar plots and k-means clustering techniques. Daily mean concentrations of PM10 were found to exceed the European Union target limit value of 50 μg m(-3) at 11 monitoring stations but remained within the allowable 35 exceedences per year, except at two monitoring stations. In general, construction works were found to influence the downwind concentrations of PM10 relatively more than PM2.5. Splitting of the data between working (0800-1800 h; local time) and non-working (1800-0800 h) periods showed about 2.2-fold higher concentrations of PM10 during working hours when compared with non-working hours. However, these observations did not allow to conclude that this increase was from the construction site emissions. Together, the polar concentration plots and the k-means cluster analysis applied to a pair of monitoring stations across the construction sites (i.e. one in upwind and the other in downwind) confirmed the contribution of construction sources on the measured concentrations. Furthermore, pairing the monitoring stations downwind of the construction sites showed a logarithmic decrease (with R(2) about 0.9) in the PM10 and PM2.5 concentration with distance. Our findings clearly indicate an impact of construction activities on the nearby downwind areas and a need for developing mitigation measures to limit their escape from the construction sites.

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Year:  2016        PMID: 26705547     DOI: 10.1039/c5em00549c

Source DB:  PubMed          Journal:  Environ Sci Process Impacts        ISSN: 2050-7887            Impact factor:   4.238


  5 in total

Review 1.  A review on recent progress in observations, sources, classification and regulations of PM2.5 in Asian environments.

Authors:  Sneha Gautam; Ankit Yadav; Chuen-Jinn Tsai; Prashant Kumar
Journal:  Environ Sci Pollut Res Int       Date:  2016-08-31       Impact factor: 4.223

2.  Source apportionments of PM2.5 organic carbon during the elevated pollution episodes in the Ordos region, Inner Mongolia, China.

Authors:  Reza Bashiri Khuzestani; James J Schauer; Jing Shang; Tianqi Cai; Dongqing Fang; Yongjie Wei; Lulu Zhang; Yuanxun Zhang
Journal:  Environ Sci Pollut Res Int       Date:  2018-02-28       Impact factor: 4.223

3.  Characterization of five-year observation data of fine particulate matter in the metropolitan area of Lahore.

Authors:  Fatima Khanum; Muhammad Nawaz Chaudhry; Prashant Kumar
Journal:  Air Qual Atmos Health       Date:  2017-03-14       Impact factor: 3.763

4.  PM2.5 induced cardiac hypertrophy via CREB/GSK3b/SOS1 pathway and metabolomics alterations.

Authors:  Kuan-Lun Li; Yen-Chang Lin
Journal:  Oncotarget       Date:  2018-07-20

5.  Effect of Urban Greening on Incremental PM2.5 Concentration During Peak Hours.

Authors:  Shaogu Wang; Shunqi Cheng; Xinhua Qi
Journal:  Front Public Health       Date:  2020-11-16
  5 in total

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