Particulate matter study at residential and educational areas in Shah Alam, Malaysia

Abstract

Air pollution has become a crucial problem nowadays, especially on particulate matter. Major sources of particulate matter came from transportation, while wind speed, temperature and other factors can contribute to this problem. This research focuses on the determination of levels of particulate matter at residential and educational areas in Shah Alam. Two (2) sites were chosen, namely Flat Nilam Sari that represented the residential areas while University of Selangor represented the educational areas. Four (4) sets of levels of particulate matter and other parameters (traffic volume, temperature and wind speed) were obtained by using Dylos DC1700 Laser Particle Counters and Mini Thermo-Anemometer respectively. The results obtained showed that the particulate matters (PM2.5 and PM10) at both study areas are below permissible limits required by Malaysian Ambient Air Quality Guidelines (MAAQS). However, the Air Quality Indexes of PM2.5 at both study areas shows that the AQI readings are categorized as unhealthy. The highest AQI reading was 159, which was recorded at residential area. In most cases, the results revealed that particulate matter produced by traffic vehicles has significant correlation with the increase of travelled particles. From the correlation analysis, both study areas have significant correlation of PM2.5 with medium vehicles while the educational area has correlation with all types of heavy, medium and small vehicles.

Carbon Characterization of Size-Segregated Particulate Matters (PMs) in Residential and Educational Areas in Padang City, Indonesia

“…Compare to the standard both in particular for PM 2.5 (25 μg/m 3 ) and PM 10 (50 μg/m 3 ) in ambient air for 24 hours, exceeded in all days for RA site which ranged from 35.82 -48.49 μg/m 3 and 58.72 -85.35 μg/m 3 for the PM 2.5 and PM 10 , respectively (see Table1)(WHO, 2006). In order, the average level of those twoChuersuwan et al, 2008) and PM 2.5 in.86 μg/m 3 ), and a bit lower than PM 10 in Malaysia (101.83 -102.47 μg/m 3 )(Azyan et al, 2018). However, those levels in EA could still acceptable since PM 2.5 and PM 10 average values were 26.21 ± 4.54 and 41.10 ± 4.96 μg/m 3 , respectively.…”

Performance of Bayesian Model Averaging (BMA) for Short-Term Prediction of PM10 Concentration in the Peninsular Malaysia

“…With a large number of residential areas, educational facilities, commercial and industrial locations, Shah Alam is one of Malaysia's most rapidly developing regions [56]. Shah Alam has a 290.3 km 2 area with a population of 700,000 [57].…”