Study on the Relationship between Hotspots and Air Pollution Standard Index Based on Carbon Monoxide Concentration in West Kalimantan

Galuh Utamia Dillayati, D. Wahyuni, Riza Adriat, Azrul Azwar, Zulfian Zulfian
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Abstract

Hotspots, indicating active fires and potential sources of air pollution, are a major concern due to their impact on air quality in West Kalimantan. In this study, an analysis was carried out regarding the relationship of hotspots to the Air Pollution Standard Index (ISPU) based on the carbon monoxide (CO) parameter. This study aimed to determine the relationship between forest fires and air pollution levels. The data used in this study is in the form of monthly average CO concentration data and coordinates of hotspots in 2017-2021. To determine the effect of CO concentration, CO concentration was converted into ISPU and then mapped using the Inverse Distance Weighting (IDW) interpolation method. In addition, the overlay technique is also applied to the map and the correlation coefficient calculation between ISPU data and hotspot data. The study results show that the annual average number of hotspots ranges from 769 to 3,612, while the average ISPU ranges from 22.21 to 59.03. The highest average number of hotspots occurred in 2019, with 3,612 hotspots and the highest average ISPU value of 59.03, categorized as moderate. However, when examined monthly, the highest average number of hotspots is observed in August and September, with 8,505 and 8,321 hotspots, respectively, and average ISPU values of 55.36 and 88.32, categorized as moderate. Furthermore, the correlation coefficient between the average number of hotspots and the average ISPU per month is 0.91, and per year is 0.98, indicating a very high relationship. Spatially, clustered hotspot locations correspond to higher ISPU values. This implies that as the number of hotspots increases, the ISPU value based on CO concentration increases.
基于一氧化碳浓度的西加里曼丹热点地区与空气污染标准指数的关系研究
热点地区表示活跃的火灾和潜在的空气污染源,由于其对西加里曼丹空气质量的影响而备受关注。本研究根据一氧化碳(CO)参数,分析了热点与空气污染标准指数(ISPU)之间的关系。本研究旨在确定森林火灾与空气污染水平之间的关系。本研究使用的数据形式为 2017-2021 年月均 CO 浓度数据和热点坐标。为确定一氧化碳浓度的影响,将一氧化碳浓度转换为 ISPU,然后使用反距离加权(IDW)插值法绘制地图。此外,地图还采用了叠加技术,并计算了 ISPU 数据与热点数据之间的相关系数。研究结果表明,年平均热点数量从 769 个到 3 612 个不等,而平均 ISPU 从 22.21 个到 59.03 个不等。热点平均数量最多的年份是 2019 年,有 3 612 个热点,ISPU 平均值最高,为 59.03,属于中等水平。然而,如果按月进行研究,8 月和 9 月的平均热点数最多,分别为 8 505 个和 8 321 个,ISPU 平均值分别为 55.36 和 88.32,归类为中等。此外,每月的平均热点数与平均 ISPU 之间的相关系数为 0.91,每年的相关系数为 0.98,表明两者之间的关系非常密切。从空间上看,聚集的热点位置对应较高的 ISPU 值。这意味着随着热点数量的增加,基于 CO 浓度的 ISPU 值也会增加。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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