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.
Most people are unaware of noise pollution occurring around them due to the characteristic of the pollution itself. This pollution is not visible to people’s sense and affects people based on their sound level acceptance. Since people who have high sound level acceptance are familiar with noise, thus noise pollution will not directly annoy them. This study was conducted to determine the traffic noise level at Seksyen 7, Shah Alam and its correlation with traffic volume. Since noise level will affect people in terms of annoyance and lead to health effect, the study area were chosen at intersections nearby residential area. The data of traffic noise level and traffic volume were collected representing weekday and weekend for each intersection. Three (3) data collection session were conducted for each day, which is in the morning (0730-0830), in the afternoon (1230-1330) and in the evening (1700-1800). The collected data were then being analysed and compared with the standard limit set by the Department of Environment Malaysia (DOE) to check whether the noise level at the study area comply with the limit recommended.
Estuarine and coastal environments are known to be major sinks for heavy metals. This ecosystem and its sustainability should be secured using the ecological as indicators. This study is conducted to quantify the heavy metal concentration and to assess the potential ecological risk levels of heavy metals in the sediments from Klang River Estuary. Three typical heavy metals such as cadmium (Cd), lead (Pb) and zinc (Zn) were identified. The surface sediment samples were collected from three sampling stations. The concentration of heavy metals in the sediments were arrange in a decreasing sequence of Pb > Zn > Cd. A range of pollution indicators based on single pollution indices such as Contamination Factor, Contamination Degree, Pollution Load Index and Geoaccumulation Index were considered for ecological risk analysis. In conclusion, the ecological risk levels of heavy metals in the sediments from Lower Klang River were low and unpolluted. However, an overall assessment regarding to the heavy metals’ concentrations, spatial distribution and their potential sources need to be monitored for a better understanding of the water-sediment interaction.
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