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Exposure to air pollution from peat fires causes serious environmental issues. Peat fires occurred frequently and emitted particulates in some areas in Indonesia, including South Sumatra Province. Hotspots were commonly found in several areas, notably during the dry season. Objective of this study aims to elaborate the association between wildfire and PM10spatially and the possibility of wildfire contribution to PM10 concentration during the 2019 dry season (June to October). The PM10 concentration, meteorological data (wind direction and wind speed), and hotspot data had been collected. To address hotspot distribution from peat fire and large scale of wind direction in South Sumatra, the spatial analysis was used meanwhile the meteorological and PM10 concentration were analyzed using RStudio by windrose and CBPF method. The provided PM10 concentration data had violated national ambient air quality standard for 11 days. The detected hotspot area was distributed dominantly in OKI (Ogan Komering Ilir) Regency. The CBPF result and spatial analysis were found that the most probable source was likely coming from South East to East direction. The source was predicted from OKI Regency with a big portion of hotspots area (&gt;50%). The study showed a good probability (0.6) that the prediction of the hotspot in OKI Regency contributed spatially and statistically to PM10 concentration for receptor location in Palembang City.

IDENTIFICATION ASSOCIATION BETWEEN PM10 AND HOTSPOT DISTRIBUTION DURING 2019 PEATFIRE EPISODE IN SOUTH SUMATRA PROVINCE, INDONESIA