Clustering of CO and CO2 concentration from Sumatra peat fire haze using HYSPLIT and K-means algorithm

3rd International Symposium on LAPAN-IPB Satellite For Food Security and Environmental Monitoring 2016

地球科学;轻工业;生态环境科学

Ni'Am, M.^1 ; Sitanggang, I.S.^1 ; Nuryanto, D.E.^2

Computer Science Department, Bogor Agricultural University, Bogor, Indonesia^1

Indonesian Agency for Meteorological, Climatological and Geophysics, Jakarta, Indonesia^2

关键词: Average concentration;    CO2 concentration;    Human lives;    Indonesia;    k-Means algorithm;    Lagrangian;    Pollutant concentration;    Single particle;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/54/1/012054/pdf
DOI  :  10.1088/1755-1315/54/1/012054

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

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 CO2due 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 CO2from the haze. Clustering using K-Means algorithm produces an average of the highest concentration of CO is 11.1471 μg/m3and CO2is 88.5882 μg/m3. Generally, pollutants have an average concentration of 0.0487 μg/m3for CO and 0.3687 μg/m3for CO2. The pollutant concentration is contained in 45 525 (95%) positions in haze trajectory and the haze spread starting from Riau to Nanggroe Aceh Darussalam.