2016
DOI: 10.1016/j.atmosenv.2015.06.010
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Temporal variability of primary and secondary aerosols over northern India: Impact of biomass burning emissions

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Cited by 126 publications
(77 citation statements)
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References 27 publications
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“…11, the curve obtained for the prime cooking time is closer to the published curve on biomass burning whereas that obtained during the noncooking time is closer to the published fossil fuel curve. Similar results were also observed over the Project Surya village in the IGP region (Praveen et al, 2012;Rehman et al, 2011). This clearly indicates there is contribution from both sources,…”
Section: Does Fossil Fuel or Biomass Influencesupporting
confidence: 75%
See 1 more Smart Citation
“…11, the curve obtained for the prime cooking time is closer to the published curve on biomass burning whereas that obtained during the noncooking time is closer to the published fossil fuel curve. Similar results were also observed over the Project Surya village in the IGP region (Praveen et al, 2012;Rehman et al, 2011). This clearly indicates there is contribution from both sources,…”
Section: Does Fossil Fuel or Biomass Influencesupporting
confidence: 75%
“…In a separate analysis (not shown here), we considered only the WS > 1 m s −1 and calculated the correlation coefficients to investigate the influence of regional emissions. Past studies near this site have been focused on cities like Kathmandu (Sharma et al, 2012;Panday and Prinn, 2009;Putero et al, 2015) and Kanpur (Ram et al, 2010) and regions of IGP dominated by agro-residue burning (Rastogi et al, 2016;Sinha et al, 2014;Sarkar et al, 2013), all of which reported very high levels of pollution. Our study adds to the growing list of scientific observations in the IGP by providing data from the foothills of the central Himalayas.…”
Section: Meteorologymentioning
confidence: 99%
“…Further, these emissions get transported to the Bay of Bengal and Arabian Sea through the IGP and thus, affect regional air quality and marine atmospheric chemistry (Rastogi and Sarin, 2008;Sarin et al, 2010;Kaskaoutis et al, 2014). There are a few studies in literatures which have reported the chemical characteristics of PM 2.5 from the northwest part of India (Rajput et al, 2011;Rastogi et al, 2014;Rajput et al, 2014;Rastogi et al, 2016;Srinivas et al, 2016); however, the study on size-segregated chemical composition of carbonaceous aerosols over northwestern part of the IGP is still lacking in literature. Size distribution of aerosols is a strong indicator in understanding their primary and secondary sources and atmospheric formation process.…”
Section: Introductionmentioning
confidence: 96%
“…Therefore, nss-K + / EC ratios were widely used to better identify major sources of carbonaceous aerosols Rastogi et al, 2016;Ram and Sarin, 2011). The higher nss-K + / EC ratios (> 0.20) indicate the dominance of biomass burning emissions, whereas lower ratios (< 0.10) suggest the prevalence of fossil fuel combustion emissions.…”
Section: Monthly/seasonal Variationsmentioning
confidence: 99%
“…The precursors of secondary OC may also come from biogenic sources in addition to fossil fuel combustion and biomass burning emissions. The OC / EC ratios often used to distinguish the relative contribution of primary vs. secondary sources as well as biomass vs. fossil fuel burning sources (Turpin and Huntzicker, 1995;Castro et al, 1999;Rastogi et al, 2016). Atmospheric aerosols emitted from fossil fuel combustion are characterized by lower OC / EC ratios (< 2.0), whereas higher OC / EC ratios (> 2.0) have been used to point out the presence of secondary OA (SOA) (Cao et al, 2003;Chow et al, 1996;Kunwar and Kawamura, 2014;Pani et al, 2017) in the atmosphere with a limited impact of biomass burning.…”
Section: Monthly/seasonal Variationsmentioning
confidence: 99%