2019
DOI: 10.3390/su11071906
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Field Evaluation of the Dust Impacts from Construction Sites on Surrounding Areas: A City Case Study in China

Abstract: Construction activities generate a large amount of dust and cause significant impacts on air quality of surrounding areas. Thus, revealing the characteristics of construction dust is crucial for finding the way of reducing its effects. To fully uncover the characteristics of construction dust affecting surrounding areas, this study selected seven representative construction sites in Qingyuan city, China as empirical cases for field evaluation. In the experiment, the up-downwind method was adopted to monitor an… Show more

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Cited by 41 publications
(37 citation statements)
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“…[4] made a similar observation for the Sichuan Basin in China. Low and stagnant atmospheric conditions highly impair the transportation and dispersion capacity of ambient air pollutants like PM 2.5 , PM 10 , and TSP [27].…”
Section: Discussionmentioning
confidence: 99%
See 3 more Smart Citations
“…[4] made a similar observation for the Sichuan Basin in China. Low and stagnant atmospheric conditions highly impair the transportation and dispersion capacity of ambient air pollutants like PM 2.5 , PM 10 , and TSP [27].…”
Section: Discussionmentioning
confidence: 99%
“…Atmosphere 2021, 12, x FOR PEER REVIEW 3 of 16 may not sufficiently reflect the pollution on the surrounding area outside the construction borders. The consideration of four ( 4) locations in the current study is therefore an advancement on the work [27].…”
Section: Study Areamentioning
confidence: 99%
See 2 more Smart Citations
“…Various studies have proven the relationship between airborne particulate meters in ambient air to various problems that are detrimental to health conditions, including respiratory health (39)(40)(41). There was a strong correlation between the health effects and the change in aerodynamic diameter size from PM 10 to PM 2.5 (41)(42)(43). Tissue damage occured due to exposure to PM 2.5 and PM 10 for a long time.…”
Section: No X and So 2 Exposure Levelsmentioning
confidence: 99%