Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques
Abstract Na Phra Lan Subdistrict is a pollution control zone with the highest PM10 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 PM10...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2020-12-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-020-78445-5 |
| _version_ | 1818858066164056064 |
|---|---|
| author | Sirapong Sooktawee Thongchai Kanabkaew Suteera Boonyapitak Aduldech Patpai Nirun Piemyai |
| author_facet | Sirapong Sooktawee Thongchai Kanabkaew Suteera Boonyapitak Aduldech Patpai Nirun Piemyai |
| author_sort | Sirapong Sooktawee |
| collection | DOAJ |
| description | Abstract Na Phra Lan Subdistrict is a pollution control zone with the highest PM10 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 PM10 levels in Na Phra Lan. Hourly PM10 data and related parameters (PM2.5, PMcoarse and NOx) 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 PM10 levels from 06:00–10:00 and 19:00–23:00 every month. For seasonal variation, high PM10 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 PM10 concentrations, the influence of mobile sources increased the concentrations resulting in two PM10 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. |
| first_indexed | 2024-12-19T08:50:22Z |
| format | Article |
| id | doaj.art-da0879eb03ba4133a6bbc9239399e014 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-12-19T08:50:22Z |
| publishDate | 2020-12-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-da0879eb03ba4133a6bbc9239399e0142022-12-21T20:28:45ZengNature PortfolioScientific Reports2045-23222020-12-0110111010.1038/s41598-020-78445-5Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniquesSirapong Sooktawee0Thongchai Kanabkaew1Suteera Boonyapitak2Aduldech Patpai3Nirun Piemyai4Environmental Research and Training Center, Department of Environmental Quality Promotion, Ministry of Natural Resources and EnvironmentDepartment of Sanitary Engineering, Faculty of Public Health, Mahidol UniversityEnvironmental Research and Training Center, Department of Environmental Quality Promotion, Ministry of Natural Resources and EnvironmentEnvironmental Research and Training Center, Department of Environmental Quality Promotion, Ministry of Natural Resources and EnvironmentEnvironmental Research and Training Center, Department of Environmental Quality Promotion, Ministry of Natural Resources and EnvironmentAbstract Na Phra Lan Subdistrict is a pollution control zone with the highest PM10 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 PM10 levels in Na Phra Lan. Hourly PM10 data and related parameters (PM2.5, PMcoarse and NOx) 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 PM10 levels from 06:00–10:00 and 19:00–23:00 every month. For seasonal variation, high PM10 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 PM10 concentrations, the influence of mobile sources increased the concentrations resulting in two PM10 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.https://doi.org/10.1038/s41598-020-78445-5 |
| spellingShingle | Sirapong Sooktawee Thongchai Kanabkaew Suteera Boonyapitak Aduldech Patpai Nirun Piemyai Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques Scientific Reports |
| title | Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques |
| title_full | Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques |
| title_fullStr | Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques |
| title_full_unstemmed | Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques |
| title_short | Characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques |
| title_sort | characterising particulate matter source contributions in the pollution control zone of mining and related industries using bivariate statistical techniques |
| url | https://doi.org/10.1038/s41598-020-78445-5 |
| work_keys_str_mv | AT sirapongsooktawee characterisingparticulatemattersourcecontributionsinthepollutioncontrolzoneofminingandrelatedindustriesusingbivariatestatisticaltechniques AT thongchaikanabkaew characterisingparticulatemattersourcecontributionsinthepollutioncontrolzoneofminingandrelatedindustriesusingbivariatestatisticaltechniques AT suteeraboonyapitak characterisingparticulatemattersourcecontributionsinthepollutioncontrolzoneofminingandrelatedindustriesusingbivariatestatisticaltechniques AT aduldechpatpai characterisingparticulatemattersourcecontributionsinthepollutioncontrolzoneofminingandrelatedindustriesusingbivariatestatisticaltechniques AT nirunpiemyai characterisingparticulatemattersourcecontributionsinthepollutioncontrolzoneofminingandrelatedindustriesusingbivariatestatisticaltechniques |