I. S. Sitanggang, A. D. Asti, L. Syaufina, H. Khotimah
{"title":"Haze trajectory clusters in South Sumatra in 2015 A simulation using Opentraj","authors":"I. S. Sitanggang, A. D. Asti, L. Syaufina, H. Khotimah","doi":"10.1109/ICECOS.2017.8167122","DOIUrl":null,"url":null,"abstract":"Haze is a negative consequence of forest and land fires that caused many health problems and contributed on global warming. This study aims to generate haze trajectory from peatland fires in South Sumatra in October 2015. We used the HYPLIT model to generate haze trajectories with hotspot sequences as the initial points of trajectory. The simulation was performed using the package Opentraj which is available in R. The experimental results show that haze from fires in South Sumatra affected not only people in this province but also in neighboring provinces namely Jambi and Riau. Haze also reached West Sumatra, North Sumatra and moved to Indian Ocean. K-Means clustering on the dataset with 119,808 haze positions results two dense clusters with the average of height 65.06 m AGL and 22.21 m AGL. Dense clusters cover about 27% to 29% members of all haze trajectories. Haze in two dense clusters are located at low height near initial points of the simulation which is dangerous for human health.","PeriodicalId":6528,"journal":{"name":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","volume":"75 1","pages":"149-153"},"PeriodicalIF":0.0000,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Electrical Engineering and Computer Science (ICECOS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICECOS.2017.8167122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
Haze is a negative consequence of forest and land fires that caused many health problems and contributed on global warming. This study aims to generate haze trajectory from peatland fires in South Sumatra in October 2015. We used the HYPLIT model to generate haze trajectories with hotspot sequences as the initial points of trajectory. The simulation was performed using the package Opentraj which is available in R. The experimental results show that haze from fires in South Sumatra affected not only people in this province but also in neighboring provinces namely Jambi and Riau. Haze also reached West Sumatra, North Sumatra and moved to Indian Ocean. K-Means clustering on the dataset with 119,808 haze positions results two dense clusters with the average of height 65.06 m AGL and 22.21 m AGL. Dense clusters cover about 27% to 29% members of all haze trajectories. Haze in two dense clusters are located at low height near initial points of the simulation which is dangerous for human health.
雾霾是森林和土地火灾的负面后果,它造成了许多健康问题,并加剧了全球变暖。本研究旨在生成2015年10月南苏门答腊泥炭地火灾的雾霾轨迹。我们使用HYPLIT模型生成了以热点序列作为轨迹初始点的霾轨迹。实验结果表明,南苏门答腊岛火灾产生的雾霾不仅影响了本省的居民,还影响了邻近的占比省和廖内省。雾霾也到达西苏门答腊、北苏门答腊并向印度洋移动。K-Means聚类在119,808个雾霾位置的数据集上得到两个密集的聚类,平均高度分别为65.06 m AGL和22.21 m AGL。密集的星团覆盖了所有雾霾轨迹的27%到29%。两个密集簇中的雾霾位于模拟初始点附近的低高度,对人体健康有危害。