The increasingly rapid industrial development has produced pollutants in the form of gases and particles polluting the atmosphere. One of them is the steel industry where the majority of the air pollutants produced is particulate matter. Monitoring the air quality of particulate matter needs to be done routinely to identify and control the effects of air pollution somewhere. The purpose of this study is to identify and analyze particulate matter (PM10 and PM2.5) in the steel industry area in Cilegon, Indonesia. Ambient particulate matter is sampling by low-volume Sequential Particulate Matter (PM) Sampler with flow rate 5-20 L/minute for 24 hours per day in 4 months from September 2018 to January 2019. The results of identification and analysis of PM10 and PM2.5 in the steel industry area, Cilegon, Indonesia showed concentrations that varied greatly depending on sampling location conditions, with an average concentration range of 89.38 - 141.13 µg/m3 for PM10 and 21.74 - 50.69 µg/m3 for PM2.5.
Low-cost optical dust sensors are widely used in air purifiers, air conditioners, and air-quality monitoring networks. However, the quality and reliability of these sensors have always been disputed because a standard calibration method has not been established. Low-cost dust sensors used by researchers are calibrated using the researchers’ own methods by applying, for example, a co-location test with reference instruments, a chamber test, or a low-speed duct test. In this study, a test method for the performance evaluation of low-cost sensors was developed using KCl particles with an exponentially decaying particle concentration. With this method, the testing time can be significantly reduced to less than 10 min, and the response characteristics of the sensors to rapidly changing concentrations can be determined. AirAssure from TSI Inc., AirBeam2 from HabitatMap LLC, and DC1100 from Dylos were tested accordingly. The linearities of the measured particulate matter concentrations were significantly good (R2 > 0.95), except for the AirAssure sensors. It was also found that the response characteristics of the sensors depended on the particle concentration decay times.
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