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Haze trajectory clusters in South Sumatra in 2015 A simulation using Opentraj

机译:2015年南苏门答腊的阴霾轨迹簇使用Opentraj的模拟

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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.
机译:雾霾是森林和土地火灾的负面后果,造成许多健康问题,并助长了全球变暖。这项研究旨在从2015年10月南苏门答腊的泥炭地火灾中产生雾霾轨迹。我们使用HYPLIT模型以热点序列作为轨迹的初始点来生成雾霾轨迹。使用R中可用的软件包Opentraj进行了仿真。实验结果表明,南苏门答腊岛大火造成的霾不仅影响了该省的人民,而且还影响了周边省份(占碑省和廖内省)。阴霾还到达了北苏门答腊岛的西苏门答腊,并迁至印度洋。在具有119,808个雾度位置的数据集上进行K-Means聚类,得到两个密集聚类,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度轨迹的大约27%至29%的成员。两个密集簇中的雾度位于模拟初始点附近的低高度,这对人体健康非常危险。

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