Trajectory and Concentration PM10 on Forest and Vegetation Peat-Fire HYSPLIT Model Outputs and Observations (Period: September _ October 2015)

3rd International Seminar On Sciences "Sciences On Precision And Sustainable Agriculture"

Khairullah^1,2 ; Effendy, S.^1 ; Makmur, E.E.S.^2

Departement of Geophysics and Meteorology, Faculty of Mathematics and Natural Sciences, Bogor Agricultural University (IPB), Indonesia^1

Meteorology, Climatology and Geophysics Agency, Indonesia^2

关键词: Climate condition;    Dispersion patterns;    Global data assimilation system;    Horizontal resolution;    Particulate Matter;    Research objectives;    Weather parameters;    Wind speed and directions;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/58/1/012038/pdf
DOI  :  10.1088/1755-1315/58/1/012038

来源: IOP

【 摘 要 】

Forest and vegetation peat-fire is one of the main sources of air pollution in Kalimantan, predominantly during the dry period. In 2015, forest and vegetation fire in Central Kalimantan and South Kalimantan emit large quantities of smoke leading to poor air quality. Haze is a phenomenon characterized by high concentration of particulate matter. This research objective is to analyze trajectory and dispersion of concentration particulate matter, PM10in Banjarbaru and Palangka Raya. Dynamics of PM10(Particulate matter less than or 10 μm in size) on vegetation peat-fire is done using GDAS (Global Data Assimilation System) output with a horizontal resolution 1 which corresponds to 100 km 100 km for input model. Climate conditions in the period September to October 2015 at generally during dry season of El Nino year. The Hybrid-single Langrangian Integrated Trajectory (HYSPLIT) model was used to investigate concentration and long-range movement of this pollutant from the source to the receptor area. We used time-series data on PM10readings obtained from two stations Banjarbaru (South Kalimantan) and Palangka Raya (Central Kalimantan) belonging to Meteorology Climatology and Geophysics Agency (BMKG). We also used weather parameter such as wind speed and direction. We investigated trajectory run from hotspots information MoF (Sipongi Output Programs) and HYSPLIT. We compared concentration obtained from PM10observation and its concentrations trend. The dispersion pattern, as simulated by HYSPLIT showed that the distribution of PM10was greatly influenced by the wind direction and topography. There is a large difference between the concentration of PM10Palangka Raya and Banjarbaru.