2019 CSCE Annual Conference - Laval (Greater Montreal) Conference
Ms. Ingrid Arocho, Oregon State University
Construction activities can produce significant amounts of air pollution having a direct effect on the surrounding environment. The level of emissions is distinct for each construction site based on the materials used for construction. Particulate matter (PM) is one of the most important pollutants produced during construction activities and is responsible for increasing human illness and mortality rate. This study aims to detect the concentration of PM emitted from two construction sites using different primary construction materials: cross-laminated timber (CLT) and steel. PM emissions were measured on both sites over a period of 5 days for four separate PM sizes (PM1.0, PM2.5, PM4.0, PM10) for a total of 600 data points. Data analysis performed for this study suggested that the steel building construction site had a higher concentration of PM than the CLT building construction site. Average concentration rate of the steel building construction site found to be 55-78% higher than the CLT project. The mean concentration of PM10 and PM4.0 was detected highest of all the sizes for both CLT and steel construction site. Both construction sites satisfied the United States Environmental Protection Agency (USEPA) standards for daily PM2.5 and PM10 concentration level. However, the mean concentration of PM2.5 (18.63 µg/m3) measured at the steel building construction site was found higher than the USEPA national average concentration rate (10.78 µg/m3). PM10 concentration level was found lower than the national average rate for both construction sites. Outcomes of the study provide a clear understanding of the characteristics of PM emitted from the construction sites. Comparative analysis shows that steel building construction sites are accountable for the production of higher concentration of particulate matters compared to the CLT building construction site. This study determines the concentration level of PM1.0 and PM4.0 which was mostly disregarded in previous studies on PM. The inclusion of PM1.0 and PM4.0 will be helpful to analyze the characteristics of different PM sizes.