COMPOSITION OF CARBONACEOUS COMPOUND (BC/EC AND OC) IN PARTICULATE EMISSIONS FROM PEAT COMBUSTION WITH DIFFERENT LEVELS OF DEPTH

• Main Author: Asyurina Muthmainnah, Fathi
• Format: Theses
• Language: Indonesia
• Subjects: Teknik saniter dan perkotaan; teknik perlindungan lingkungan
• Online Access: https://digilib.itb.ac.id/gdl/view/32076
• Institution: Institut Teknologi Bandung

Indonesia is a country which has a very extensive peatlands. From the 37.80 million ha of peatland area in the world, 20.6 million ha is in Indonesia. From the total peatland area of Indonesia, 33.9% were in the Kalimantan.. Kalimantan peatland distributed on the west coastal area, including Kubu Raya district. Indonesian society still doing land clearing by slash and burn. Every year, approximately 1.5 to 2.2 million ha of peatland fireshappened in Sumatra and Kalimantan. Severe peat fires occurred in 1997, 1998 and 2002. The smog was produced cause many problems with surrounding countries. Peat fires do not only occur on the surface of the soil, but also creeping into the subsurfaces. Fires in peat layers could spreading radially due to peat structure which is the remains of dead plant roots. This land fires emit aerosols containing carbonaceous compounds, including black carbon (BC elemental carbon (EC) and organic carbon (OC). The impact of these particulate components tohealth and the environment is very important. In this study were analyzed particulate emissions by burning peat PM2.5 parameters, BC/EC and OC. Particulate emissions were taken using MiniVol TAS with Teflon filters and Quartz fiber filters. Particulate was analyzed using BOECO-Germany Semi- Microbalance, Smoke Eel Reflectometer Model 43D, and DRI Carbon Analyzer Model 2001 OC/EC. The results showed that the surface peat samples combustion was emitted in average concentration of 7,467.29±3,976.26?g/m³ PM2.5. While the subsurface peat samples combustion was emitting 5,693.55±2,137.15?g/m³ PM2.5. The PM2.5 contain 96.49±35.98 ?g/m3 BC. In PM2.5, OC and EC were in average contribution of 70.27% and 1.85%, respectively. The results may helpful to predict the potential effect of air pollution case on a particular location so that the mitigation of peat fires could be optimized.