Factors affecting the concentrations of PM10 in central Taiwan

被引：17

作者：

Kuo, Chung-Yih ^{[1
]}

Chen, Po-Tso ^{[1
]}

Lin, Yu-Chi ^{[1
]}

Lin, Chuan-Yao ^{[2
]}

Chen, Hsin-Hong ^{[1
]}

Shih, Jeng-Fu ^{[1
]}

机构：

[1] Chung Shan Med Univ, Coll Hlth Care & Management, Dept Publ Hlth, Taichung 40242, Taiwan

[2] Acad Sinica, Res Ctr Environm Changes, Taipei 11529, Taiwan

来源：

CHEMOSPHERE | 2008年 / 70卷 / 07期

关键词：

synoptic weather types; high PM10 episode; multiple linear regressions; factor analysis;

D O I：

10.1016/j.chemosphere.2007.07.058

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

In this study, the synoptic weather types that have high probability and low probability of producing PM10 episode are referred to as HPE and LPE, respectively. Multiple linear regressions analysis showed that NO2 was the most important contributor (35.61%) to the concentrations of PM10 for HPE weather. For LPE weather, the season factor had the greatest contribution (48.11%) to the concentrations of PM10. Using the correlation coefficients between the concentrations of PM10 and SO2 or NO2 on HPE and LPE to calculate the increase of PM10 from LPE to HPE, we found that the increase of PM10 owing to the increase Of SO2 and NO2 from LPE to HPE was 12.93 mu g/m(3) which was about 51% of the total amount of PM10 increased from LPE to HPE. Results of factor analysis showed that the first component could be attributed to the result of local pollution especially for the weather patterns of types P3 and P6, while the secondary component for the weather patterns of types PI and P4 can be attributed to the long-range transport Of SO2 pollutants from China. (c) 2007 Elsevier Ltd. All rights reserved.

引用

页码：1273 / 1279

页数：7

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