CHEMICAL CHARACTERIZATION OF COARSE AND FINE PARTICULATE MATTER AND POLLUTION SOURCE IDENTIFICATION IN DKI JAKARTA

• Main Author: Kartika Sari, Novi
• Format: Theses
• Language: Indonesia
• Online Access: https://digilib.itb.ac.id/gdl/view/33046
• Institution: Institut Teknologi Bandung

Air pollution has been known to cause significant negative effects in the world including DKI Jakarta as urban city. Source identification study of coarse (PM2,5-10) and fine (PM2,5) particulates was conducted to identify potential and possible sources in DKI Jakarta. This research was part of Urban HybriD models for AiR pollution exposure Assessment (UDARA) research. Sampling of thirteen, 32, and 30 samples airborne particulates had been done at respectively Kelapa Gading (JU), Kuningan (JP) and Jagakarsa (JS) in DKI Jakarta, during June-September 2018 using a Gent Stack Filter Unit Sampler (GSFU). Particulate concentration was determined by gravimetric method while Black Carbon (BC) and chemical element concentration were measured by reflectometry and ED-XRF respectively. Of 4 datasets of JU, JP, JS and JUPS (3 multiple sites) were identified for source identification using correlation analysis, cluster analysis, and PCA (Principal Component Analysis) with varimax rotation. PCA/MLR (JP, JS, and JUPS datasets) and STE (Single Trace Element)/MLR (JU dataset) were done for source contribution analysis. CPF (Conditional Probability Function) model was applied to determine local source pollutant as well. Based on ANOVA and post-hoc Tukey-Kramer, PM2.5 mean concentration at JP was found to be significantly different than JU and JS sites. JP site had 23 % higher of PM2.5 concentration over JS and 36% higher than that of JU site. There had been significantly different of PM2,5-10 mean concentration among sampling sites. JU site had PM2.5-10 concentration 16% higher than JP site and 52% higher than that of JS site. JP dataset was considerably higher at the most elements such as BC, Mg, Si, S, K, Ca, Ti, Cr, Ni, dan Cu for PM2,5 fraction. Sources apportionment analysis identified by 4 to 5 sources of PM2,5 that are vehicle emission, biomass burning and aged sea salt, residual oil, industry, crustal element (for JU, JS and JUPS datasets) and road dust (for JP dataset). For PM2,5-10 fraction, identified possible sources were road dust associated with construction, fugitive dust, aged-sea salt and tyre-and-brake wear. Contribution results at all datasets for PM2,5 fraction had vehicle emission source was the main contributor meanwhile road dust associated with construction had been the biggest contributor for PM2,5-10 fraction in DKI Jakarta.