4.7 Article

Chemical characterization, source apportionment and transport pathways of PM2.5 and PM10 over Indo Gangetic Plain of India

期刊

URBAN CLIMATE
卷 36, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.uclim.2021.100805

关键词

Source apportionment; PM2.5; PM10; Seasonal variability; Chemical components

资金

  1. CSIR-NPL, New Delhi
  2. Council of Scientific and Industrial Research, New Delhi [PSC-0112]
  3. Department of Science and Technology (DST), New Delhi

向作者/读者索取更多资源

The study revealed that in the Indo Gangetic Plain of India, the main sources of PM2.5 and PM10 include vehicular emissions, secondary aerosols, biomass burning, and soil dust, with the presence of strong local pollution sources as well as pollutants coming from parts of Pakistan, Punjab, Haryana, Rajasthan, Uttar Pradesh, Bihar, and Bangladesh.
The present work depicts the spatial and temporal variations in chemical characteristics and sources of PM2.5 and PM10 over Indo Gangetic Plain (IGP) of India from January 2015 to December 2016. PM2.5 and PM10 samples were collected at three typical urban sites of Delhi, Varanasi, and Kolkata of IGP, India and characterized to evaluate their chemical components. The average concentrations of PM2.5 at Delhi, Varanasi, and Kolkata were 135 +/- 64, 99 +/- 33, and 116 +/- 38 mu g m(-3), respectively. Whereas the average concentrations of PM10 over Delhi, Varanasi, and Kolkata were 242 +/- 95, 257 +/- 90, and 179 +/- 77 mu g m(-3), respectively. Source apportionment was carried out using the three receptor models i.e. Principal Component Analysis-Absolute Principal Component Score (PCA-APCS), UNMIX, and Positive Matrix Factorization (PMF), implemented on the same data sets to obtain the conjointly validated results. All the models identified that vehicular emissions, secondary aerosols, biomass burning, and soil dust were the dominant sources of PM2.5 and PM10 over IGP, India. Hybrid receptor models revealed the presence of strong local emission sources as well as traversing of pollutants from the parts of Pakistan, Punjab, Haryana, Rajasthan, Uttar Pradesh, Bihar, and Bangladesh.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据