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运用二元统计技术刻画采矿及相关产业污染控制区的颗粒物源贡献。

Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques.

机构信息

Environmental Research and Training Center, Department of Environmental Quality Promotion, Ministry of Natural Resources and Environment, Pathumthani, Thailand.

Department of Sanitary Engineering, Faculty of Public Health, Mahidol University, Bangkok, Thailand.

出版信息

Sci Rep. 2020 Dec 7;10(1):21372. doi: 10.1038/s41598-020-78445-5.

DOI:10.1038/s41598-020-78445-5
PMID:33288849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7721878/
Abstract

Na Phra Lan Subdistrict is a pollution control zone with the highest PM level in Thailand. Major mobile and industrial sources in the area are related to stone crushing, quarrying and mining. This study used statistical techniques to investigate the potential sources influencing high PM levels in Na Phra Lan. Hourly PM data and related parameters (PM, PM and NO) from 2014-2017 were analysed using time series, bivariate polar plot and conditional bivariate probability function (CBPF). Results of diurnal variation revealed two peaks of PM levels from 06:00-10:00 and 19:00-23:00 every month. For seasonal variation, high PM concentrations were found from October to February associated with the cool and dry weather during these months. The bivariate polar plot and CBPF confirmed two potential sources, i.e., resuspended dust from mobile sources close to the air quality monitoring station (receptor) and industrial sources of mining, quarrying and stone crushing far from the station on the northeast side. While the industrial source areas played a role in background PM concentrations, the influence of mobile sources increased the concentrations resulting in two PM peaks daily. From the study results, we proposed that countermeasure activities should focus on potential source areas, resuspended road dust from vehicles and the industrial sources related to quarrying and mining, rather than distributing equal attention to all sources.

摘要

那拉兰分区是泰国 PM 水平最高的污染控制区。该地区的主要移动源和工业源与碎石、采石和采矿有关。本研究使用统计技术调查影响那拉兰高 PM 水平的潜在来源。使用时间序列、二元极图和条件二元概率函数(CBPF)分析了 2014-2017 年每小时 PM 数据和相关参数(PM、PM 和 NO)。日变化结果显示,每月 6:00-10:00 和 19:00-23:00 出现两个 PM 水平峰值。对于季节性变化,从 10 月到 2 月发现高 PM 浓度与这些月份凉爽干燥的天气有关。二元极图和 CBPF 证实了两个潜在来源,即空气质量监测站(受体)附近移动源扬起的灰尘和东北侧远离站的采矿、采石和碎石工业源。虽然工业源区对背景 PM 浓度起作用,但移动源的影响增加了导致每日出现两个 PM 峰值的浓度。根据研究结果,我们提出对策活动应集中在潜在源区、车辆扬起的道路灰尘和与采石及采矿有关的工业源上,而不是平均关注所有源。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/ab566513afc3/41598_2020_78445_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/632f08f9f776/41598_2020_78445_Fig1_HTML.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/f51781c2c716/41598_2020_78445_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/5e7266a00d73/41598_2020_78445_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/ab566513afc3/41598_2020_78445_Fig7_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/632f08f9f776/41598_2020_78445_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/45e25163d5f1/41598_2020_78445_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/323a07a7b248/41598_2020_78445_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/7083e7b21a09/41598_2020_78445_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/f51781c2c716/41598_2020_78445_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/5e7266a00d73/41598_2020_78445_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ee8c/7721878/ab566513afc3/41598_2020_78445_Fig7_HTML.jpg

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