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Comparative Analysis on PM sub(10) and PM sub(2.5) ratio during Heating Period in Harbin

The geographic location of Harbin decided that the city has distinct seasonal weathers. In winter, the temperature difference in day and night is huge. Moreover, winter is also the heating period, air quality is affected by heating period greatly, resulting in stable air quality. This study adopted... Full description

Journal Title: Environmental Science and Management May 2014, Vol.39(5), pp.119-121
Main Author: Chen, Wei
Other Authors: Xing, Yanfeng
Format: Electronic Article Electronic Article
Language: chi
Subjects:
ID: ISSN: 1674-6139
Link: http://search.proquest.com/docview/1677981023/?pq-origsite=primo
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title: Comparative Analysis on PM sub(10) and PM sub(2.5) ratio during Heating Period in Harbin
format: Article
creator:
  • Chen, Wei
  • Xing, Yanfeng
subjects:
  • Weather
  • Heating
  • Automation
  • Climatology
  • Air Quality
  • Consistency
  • Monitoring
  • Winter
  • Environmental Engineering (General) (CE)
  • Pm10
  • Pm2.5
  • Manual Monitoring
  • Automatic Monitoring
  • Contrast
ispartof: Environmental Science and Management, May 2014, Vol.39(5), pp.119-121
description: The geographic location of Harbin decided that the city has distinct seasonal weathers. In winter, the temperature difference in day and night is huge. Moreover, winter is also the heating period, air quality is affected by heating period greatly, resulting in stable air quality. This study adopted PM sub(10) and PM sub(2.5) data from three monitoring stations in the winter of 2013 as example. The data was collected both manually and with monitoring instruments. Consistency analysis of automatic monitoring and manual monitoring data of PM sub(10) and PM sub(2.5) concentration ratio are analyzed. The results show that the concentration of monitoring data from the 3 point have high consistency. The parameters concluded from manual and automatic data by linear regression are in accord with the technical specification (HJ 653 - 2013) requirements.
language: chi
source:
identifier: ISSN: 1674-6139
fulltext: no_fulltext
issn:
  • 16746139
  • 1674-6139
url: Link


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titleComparative Analysis on PM sub(10) and PM sub(2.5) ratio during Heating Period in Harbin
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identifierISSN: 1674-6139
subjectWeather ; Heating ; Automation ; Climatology ; Air Quality ; Consistency ; Monitoring ; Winter ; Environmental Engineering (General) (CE) ; Pm10 ; Pm2.5 ; Manual Monitoring ; Automatic Monitoring ; Contrast
descriptionThe geographic location of Harbin decided that the city has distinct seasonal weathers. In winter, the temperature difference in day and night is huge. Moreover, winter is also the heating period, air quality is affected by heating period greatly, resulting in stable air quality. This study adopted PM sub(10) and PM sub(2.5) data from three monitoring stations in the winter of 2013 as example. The data was collected both manually and with monitoring instruments. Consistency analysis of automatic monitoring and manual monitoring data of PM sub(10) and PM sub(2.5) concentration ratio are analyzed. The results show that the concentration of monitoring data from the 3 point have high consistency. The parameters concluded from manual and automatic data by linear regression are in accord with the technical specification (HJ 653 - 2013) requirements.
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descriptionThe geographic location of Harbin decided that the city has distinct seasonal weathers. In winter, the temperature difference in day and night is huge. Moreover, winter is also the heating period, air quality is affected by heating period greatly, resulting in stable air quality. This study adopted PM sub(10) and PM sub(2.5) data from three monitoring stations in the winter of 2013 as example. The data was collected both manually and with monitoring instruments. Consistency analysis of automatic monitoring and manual monitoring data of PM sub(10) and PM sub(2.5) concentration ratio are analyzed. The results show that the concentration of monitoring data from the 3 point have high consistency. The parameters concluded from manual and automatic data by linear regression are in accord with the technical specification (HJ 653 - 2013) requirements.
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abstractThe geographic location of Harbin decided that the city has distinct seasonal weathers. In winter, the temperature difference in day and night is huge. Moreover, winter is also the heating period, air quality is affected by heating period greatly, resulting in stable air quality. This study adopted PM sub(10) and PM sub(2.5) data from three monitoring stations in the winter of 2013 as example. The data was collected both manually and with monitoring instruments. Consistency analysis of automatic monitoring and manual monitoring data of PM sub(10) and PM sub(2.5) concentration ratio are analyzed. The results show that the concentration of monitoring data from the 3 point have high consistency. The parameters concluded from manual and automatic data by linear regression are in accord with the technical specification (HJ 653 - 2013) requirements.
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date2014-05-01