Clustering of CO and CO2 concentration from Sumatra peat fire haze using HYSPLIT and K-means algorithm
Moh Nailun Ni'am, Imas Sukaesih Sitanggang, Danang Eko Nuryanto · IOP Conference Series Earth and Environmental Science · 2017
Peat fires in Indonesia could have a negative impact for human life such as the emergence of haze. Therefore, this research aims to analyze concentration of CO and CO 2 due to peat fires in Sumatra in 2015 using the Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) and K-Means algorithm. The results of this study indicate that HYSPLIT can be used to obtain the concentration of CO and CO 2 from the haze. Clustering using K-Means algorithm produces an average of the highest concentration of CO is 11.1471 μg/m 3 and CO 2 is 88.5882 μg/m 3 . Generally, pollutants have an average concentration of 0.0487 μg/m 3 for CO and 0.3687 μg/m 3 for CO 2 . The pollutant concentration is contained in 45 525 (95%) positions in haze trajectory and the haze spread starting from Riau to Nanggroe Aceh Darussalam.