4 research outputs found

    CHARACTERISTIC OF AIRBORNE PARTICULATE MATTER SAMPLES COLLECTED FROM TWO SEMI INDUSTRIAL SITES IN BANDUNG, INDONESIA

    Get PDF
    Air particulate matter concentrations, black carbon as well as elemental concentrations in two semi industrial sites were investigated as a preliminary study for evaluation of air quality in these areas. Sampling of airborne particulate matter was conducted in July 2009 using a Gent stacked filter unit sampler and a total of 18 pairs of samples were collected. Black carbon was determined by reflectance measurement and elemental analysis was performed using particle induced X-ray emission (PIXE). Elements Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, Cr, Mn, Fe, Cu, Zn and As were detected. Twenty four hour PM25 concentration at semi industrial sites Kiaracondong and Holis ranged from 4.0 to 22.2 pg m 3, while the PM1,9concentration ranged from 24.5 to 77.1 pg m 3. High concentration of crustal elements, sulphur and zinc were identified in fine and coarse fractions for both sites. The fine fraction data from both sites were analyzed using a multivariate principal component analysis and for Kiaracondong site, identified factors are attributed to sea-salt with soil dust, vehicular emissions and biomass burning, non ferrous smelter, and iron/steel work industry, while for Holis site identified factors are attributed to soil dust, industrial emissions, vehicular emissions with biomass burning, and sea-salt. Although particulate samples were collected from semi industrial sites, vehicular emissions constituted with S, Zn and BC were identified in both sites. Investigasi terkait konsentrasi massa partikulat udara, black carbon dan konsentrasi unsur pada sampel partikulat udara yang disampling di dua daerah semi industri merupakan studi pendahuluan sebagai evaluasi kualitas udara di daerah ini. Sampling sampel partikulat udara dilakukan di bulan Juli 2009 menggunakan sampler Gent stacked filter unit, dan diperoleh sebanyak 18 pasang sampel. Penentuan Black carbon dilakukan menggunakan pengukuran reflektansi dan analisis unsur dilakukan menggunakan particle induced x-ray emission (PIXE). Unsur-unsur Na, Mg, Al, Si. P. S, Cl, K, Ca, Ti, Cr, Mn, Fe, Cu, Zn dan As dapat dideteksi dengan balk. Konsentrasi 24 jam PM2.5 di daerah semi industri Kiaracondong dan Holis berkisar 4,0 hingga 22,2 pg m-3, sementara konsentrasi PM10 berkisar 24,5 hingga 77,1 pg m 3. Unsur-unsur tanah, sulfur dan seng terdeteksi dalam korrsentrasi tinggi pada sampel partikulat udara halus maupun kasar pada kedua lokasi. Data partikulat halus dari kedua lokasi selanjutnya diolah menggunakan multivariate principal component analysis, untuk daerah Kiaracondong dapat diidentifikasikan faktor yang berasal dari garam laut dan debu tanah, emisi kendaraan bermotor dan pembakaran biomassa, peleburan logam non besi, industri besi/baja, sementara itu untuk daerah Ho/is teridentifikasi faktor yang berasal dari debu tanah, emisi industri, emisi kendaraan bermotor dengan pembakaran biomassa dan garam laut. Sekalipun sampel partikulat udara diambil di lokasi semi industri, cumber pencemaran berupa emisi kendaraan bermotor yang terkait korelasi S, Zn dan BC teridentifikasi pada kedua lokasi

    CHARACTERISTIC OF AIRBORNE PARTICULATE MATTER SAMPLES COLLECTED FROM TWO SEMI INDUSTRIAL SITES IN BANDUNG, INDONESIA

    No full text
    Air particulate matter concentrations, black carbon as well as elemental concentrations in two semi industrial sites were investigated as a preliminary study for evaluation of air quality in these areas. Sampling of airborne particulate matter was conducted in July 2009 using a Gent stacked filter unit sampler and a total of 18 pairs of samples were collected. Black carbon was determined by reflectance measurement and elemental analysis was performed using particle induced X-ray emission (PIXE). Elements Na, Mg, Al, Si, P, S, Cl, K, Ca, Ti, Cr, Mn, Fe, Cu, Zn and As were detected. Twenty four hour PM2.5 concentration at semi industrial sites Kiaracondong and Holis ranged from 4.0 to 22.2 µg m-3, while the PM10 concentration ranged from 24.5 to 77.1 µg m-3. High concentration of crustal elements, sulphur and zinc were identified in fine and coarse fractions for both sites. The fine fraction data from both sites were analyzed using a multivariate principal component analysis and for Kiaracondong site, identified factors are attributed to sea-salt with soil dust, vehicular emissions and biomass burning, non ferrous smelter, and iron/steel work industry, while for Holis site identified factors are attributed to soil dust, industrial emissions, vehicular emissions with biomass burning, and sea-salt. Although particulate samples were collected from semi industrial sites, vehicular emissions constituted with S, Zn and BC were identified in both sites

    Atmospheric PM2.5 and particle number concentration in semi-urban industrial-residential airshed

    Get PDF
    Air pollution is one of the crucial factors that cause premature death and health problems. Fine particulate matter (PM2.5) has a high association with adverse health effects due to its capability to penetrate deep into the human respiratory system. The deterioration of air quality in Malaysia, especially Johor Bahru city, is worrying due to the swift industrial, transportation as well as housing expansion. Air pollution has a closer relationship with the particle number concentration (PNC) rather than the particle mass concentration. However, measurement of the PM2.5 is normally reported in particle mass concentration. Due to the light-weighted small particle sizes that dominate the PNC, they are accounted for only a few percent of the total particle mass concentration. Thus, these small particles could be neglected if the toxicological effects are determined primarily by the mass concentration rather than the PNC. This study aims to investigate the 24 h mean PM2.5 mass concentrations, meteorological parameters and PNC, besides determining the concentrations of the trace metals and water-soluble inorganic ions of the PM2.5 pollutant collected at the industrial-residential airshed of Skudai, Johor Bahru. This research analysed the source apportionment of the PM2.5 composition and the relationship of the PM2.5 mass concentrations with PNC. The meteorological variables, PNC data and PM2.5 samples were collected from August 2017 until January 2018. The source apportionment of the PM2.5 composition were determined using Positive Matrix Factorisation (PMF). This study found that the highest 24 h PM2.5 mass concentration is 44.6 µgm-3, with a mean value of 21.85 µgm-3 throughout the SW through the NE monsoon. 43.33% of the daily PM2.5 mass exceeded the 24 h World Health Organization Guideline, while 8.33% of the concentration exceeded the 24 h Malaysia Ambient Air Quality Standard. The ambient temperature throughout the monsoon seasons shows a significant positive correlation (p < 0.05) with PM2.5 mass (r2 = 0.43 to r2 = 0.54), while the wind speed (r2 = -0.23 to r2 = -0.01) and the relative humidity (r2 = -0.47 to r2 = -0.27) show negative correlations. The rainfall on the other hand shows weak correlation towards PM2.5 mass. The accumulation mode particles (0.27 µm < Dp < 1.0 µm) corresponded to 94~98% of the total particle number concentration, with highest hourly mean of 372.20 #cm-3 during the SW monsoon. The accumulation mode has the highest correlation value of r2 = 0.8701 among the other particle size bins. The major trace elements identified were Fe (279.2 ± 69.2 ngm-3), Ba (200.1 ± 57.2 ngm-3), Zn (133.2 ± 67.6 ngm-3), Mg (116.3 ± 43.8 ngm-3) and Al (104.1 ± 30.6 ngm-3). For inorganic ions, the secondary inorganic aerosols (SIA) were highly contributed by NO3- (639.9 ± 138.1 ngm-3), SO42- (556.9 ± 203.0 ngm-3) and NH4+ (424.1 ± 106.1 ngm-3). Despite the anthropogenic activities as the sources of particulates, a minor fraction of pollutants may also due to the regional transboundary transport. The PMF analysis shows that non-combustion traffic source is the main contributor to the ambient PM2.5 (25.4 %). The six predominant sources identified were (1) mineral dust pollution (4.2 %), (2) source of mixed road dust and biomass burning (18.1%), (3) mixed secondary inorganic aerosol and road dust emission (18.1%), (4) emission of the non-combustion traffic source (25.4%), (5) industrial emission (18.1 %) and (6) undefined (16.1 %). The comprehensive findings of this study may support the need to control the PM2.5 sources
    corecore