4.6 Article

Environmental Particulate Matter (PM) Exposure Assessment of Construction Activities Using Low-Cost PM Sensor and Latin Hypercubic Technique

Journal

SUSTAINABILITY
Volume 13, Issue 14, Pages -

Publisher

MDPI
DOI: 10.3390/su13147797

Keywords

particulate matter (PM); health hazards; low-cost PM sensors; environmental exposure monitoring; primary construction activity; PM monitoring; worker safety

Funding

  1. Korean Agency for Infrastructure Technology Advancement (KAIA) - Ministry of Land, Infrastructure and Transport (National Research for Smart Construction Technology) [20SMIP-A158708-01]
  2. Chung-Ang University

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The study reveals that PM10 and PM2.5 emissions during concrete mixing activity are almost double compared to mortar mixing activity, posing high particulate matter concentrations and health risks for environmental exposure during both activities.
Dust generation is generally considered a natural process in construction sites; ergo, workers are exposed to health issues due to fine dust exposure during construction work. The primary activities in the execution of construction work, such as indoor concrete and mortar mixing, are investigated to interrogate and understand the critical high particulate matter concentrations and thus health threats. Two low-cost dust sensors (Sharp GP2Y1014AU0F and Alphasense OPC N2) without implementing control measures to explicitly evaluate, compare and gauge them for these construction activities were utilized. The mean exposures to PM10, PM2.5 and PM1 during both activities were 3522.62, 236.46 and 47.62 mu g/m(3) and 6762.72, 471.30 and 59.09 mu g/m(3), respectively. The results show that PM10 and PM2.5 caused during the concrete mixing activity was approximately double compared to the mortar. The Latin Hypercube Sampling method is used to analyze the measurement results and to predict the exposure concentrations. The high dust emission and exposure from mixing activities fail to meet the World Health Organization and Health and Safety Commission standards for environmental exposure. These findings will leverage the integration of low-cost dust sensors with Building Information Modelling (BIM) to formulate a digital twin for automated dust control techniques in the construction site.

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