Assessment of PM_(2.5) Chemical Composition and Air Quality Monitoring: Implications of Air Pollutants Emissions from a Night Market in Kaohsiung City, Taiwan

Kassian T.T. Amesho ； Yuan-Chung Lin ； Zhou-Wei Gong ； Feng-Chih Chou ； Pei-Cheng Cheng ； Tsu-Nai Wang ； Pei-Shih Chen ； Kang-Shin Chen ； Ken-Lin Chang ； Chien-Hung Lee

《Aerosol and Air Quality Research》 21卷12期 (2021/12) Pp. 1-17

https://doi.org/10.4209/aaqr.210206

摘要

There are around 300 night markets in Taiwan, and they have been drawing an increasing number of tourists in recent years. As a result, public awareness over air quality in the night markets has grown tremendously. In response to this, a specific night market in Kaohsiung City was chosen for this study in order to characterize the existing air quality in and around the night markets. In this present study, we employed an Industrial Source Complex Short-Term (ISCST3) air quality model for the simulation of PM_(2.5) diffusions. The model as a technique can simulate the pollutants emissions, diffusions, transportation, and pollution sources in specific areas and subsequently evaluate the influence between the source and the receiver. Therefore, we compared pollutants emissions data from several air quality monitoring stations with our sampling data of three different sampling sites in Kaohsiung City. The findings of this study showed that the average concentration of PM_(2.5) was in the range of 29-61 μg m^(-3) during opening hours of the night market, whereas the average concentration of PM_(2.5) range was between 22-38 μg m^(-3) before the night market opening hours. The concentration of metallic elements (ME) (Mg, Na, Cr, Mn, Fe, Cu, Al, Ba, Cd, Pb and Ca) was determined with the support of Inductively Coupled Plasma Optical Emission Spectroscopy (ICP-OES). During the night market opening hours, the result disclosed that the ME concentrations in PM_(2.5) was in an increasing order as follows: Na ＞ Fe ＞ Al ＞ Ca. With respect to the concentration of carbonaceous species, our results showed that the highest total carbon (TC) concentration was found to be 6.52 μg m^(-3) during the downwind sampling interval. The highest elemental carbon (EC) and organic carbon (OC) concentration were found to be 6.53 μg m^(-3) and 2.70 μg m^(-3) of the PM_(2.5) concentration, respectively. This study's findings have significant consequences for Taiwan policymakers and urban planners, particularly those responsible for coordinating environmental protection and economic development in cities. Therefore, policy actions to abate urban air pollution can be attained on diverse governing echelons, resulting in synergistic effects such as a reduction in climate change impacts.

關鍵字

Night market ； PM_(2.5) emissions ； Metallic elements concentrations ； Air quality monitoring ； Pollutants emissions ； ISCST3 model