Estimation of local and external contributions of biomass burning to PM^sub 2.5^ in an industrial zone included in a large urban settlement
A total of 85 PM2.5 samples were collected at a site located in a large industrial zone (Porto Marghera, Venice, Italy) during a 1-year-long sampling campaign. Samples were analyzed to determine water-soluble inorganic ions, elemental and organic carbon, and levoglucosan, and results were processed...
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creator | Benetello, Francesca Squizzato, Stefania Hofer, Angelika Masiol, Mauro Khan, Md Badiuzzaman Piazzalunga, Andrea Fermo, Paola menton, Gian Maria Rampazzo, Giancarlo Pavoni, Bruno |
description | A total of 85 PM2.5 samples were collected at a site located in a large industrial zone (Porto Marghera, Venice, Italy) during a 1-year-long sampling campaign. Samples were analyzed to determine water-soluble inorganic ions, elemental and organic carbon, and levoglucosan, and results were processed to investigate the seasonal patterns, the relationship between the analyzed species, and the most probable sources by using a set of tools, including (i) conditional probability function (CPF), (ii) conditional bivariate probability function (CBPF), (iii) concentration weighted trajectory (CWT), and (iv) potential source contribution function (PSCF) analyses. Furthermore, the importance of biomass combustions to PM2.5 was also estimated. Average PM2.5 concentrations ranged between 54 and 16 μg m−3 in the cold and warm period, respectively. The mean value of total ions was 11 μg m−3 (range 1–46 μg m−3): The most abundant ion was nitrate with a share of 44 % followed by sulfate (29 %), ammonium (14 %), potassium (4 %), and chloride (4 %). Levoglucosan accounted for 1.2 % of the PM2.5 mass, and its concentration ranged from few ng m−3 in warm periods to 2.66 μg m−3 during winter. Average concentrations of levoglucosan during the cold period were higher than those found in other European urban sites. This result may indicate a great influence of biomass combustions on particulate matter pollution. Elemental and organic carbon (EC, OC) showed similar behavior, with the highest contributions during cold periods and lower during summer. The ratios between biomass burning indicators (K+, Cl−, NO3 −, SO4 2−, levoglucosan, EC, and OC) were used as proxy for the biomass burning estimation, and the contribution to the OC and PM2.5 was also calculated by using the levoglucosan (LG)/OC and LG/PM2.5 ratios and was estimated to be 29 and 18 %, respectively. |
doi_str_mv | 10.1007/s11356-016-7987-0 |
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Samples were analyzed to determine water-soluble inorganic ions, elemental and organic carbon, and levoglucosan, and results were processed to investigate the seasonal patterns, the relationship between the analyzed species, and the most probable sources by using a set of tools, including (i) conditional probability function (CPF), (ii) conditional bivariate probability function (CBPF), (iii) concentration weighted trajectory (CWT), and (iv) potential source contribution function (PSCF) analyses. Furthermore, the importance of biomass combustions to PM2.5 was also estimated. Average PM2.5 concentrations ranged between 54 and 16 μg m−3 in the cold and warm period, respectively. The mean value of total ions was 11 μg m−3 (range 1–46 μg m−3): The most abundant ion was nitrate with a share of 44 % followed by sulfate (29 %), ammonium (14 %), potassium (4 %), and chloride (4 %). Levoglucosan accounted for 1.2 % of the PM2.5 mass, and its concentration ranged from few ng m−3 in warm periods to 2.66 μg m−3 during winter. Average concentrations of levoglucosan during the cold period were higher than those found in other European urban sites. This result may indicate a great influence of biomass combustions on particulate matter pollution. Elemental and organic carbon (EC, OC) showed similar behavior, with the highest contributions during cold periods and lower during summer. The ratios between biomass burning indicators (K+, Cl−, NO3 −, SO4 2−, levoglucosan, EC, and OC) were used as proxy for the biomass burning estimation, and the contribution to the OC and PM2.5 was also calculated by using the levoglucosan (LG)/OC and LG/PM2.5 ratios and was estimated to be 29 and 18 %, respectively.</description><identifier>ISSN: 0944-1344</identifier><identifier>EISSN: 1614-7499</identifier><identifier>DOI: 10.1007/s11356-016-7987-0</identifier><language>eng</language><publisher>Heidelberg: Springer Nature B.V</publisher><subject>Ammonium ; Biomass ; Biomass burning ; Bivariate analysis ; Burning ; Combustion ; Conditional probability ; Environmental science ; Ions ; Levoglucosan ; Nitrates ; Organic carbon ; Particulate emissions ; Particulate matter ; Sulfates ; Trajectory analysis ; Urban areas ; Water pollution</subject><ispartof>Environmental science and pollution research international, 2017-01, Vol.24 (2), p.2100</ispartof><rights>Environmental Science and Pollution Research is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Benetello, Francesca</creatorcontrib><creatorcontrib>Squizzato, Stefania</creatorcontrib><creatorcontrib>Hofer, Angelika</creatorcontrib><creatorcontrib>Masiol, Mauro</creatorcontrib><creatorcontrib>Khan, Md Badiuzzaman</creatorcontrib><creatorcontrib>Piazzalunga, Andrea</creatorcontrib><creatorcontrib>Fermo, Paola</creatorcontrib><creatorcontrib>menton, Gian Maria</creatorcontrib><creatorcontrib>Rampazzo, Giancarlo</creatorcontrib><creatorcontrib>Pavoni, Bruno</creatorcontrib><title>Estimation of local and external contributions of biomass burning to PM^sub 2.5^ in an industrial zone included in a large urban settlement</title><title>Environmental science and pollution research international</title><description>A total of 85 PM2.5 samples were collected at a site located in a large industrial zone (Porto Marghera, Venice, Italy) during a 1-year-long sampling campaign. Samples were analyzed to determine water-soluble inorganic ions, elemental and organic carbon, and levoglucosan, and results were processed to investigate the seasonal patterns, the relationship between the analyzed species, and the most probable sources by using a set of tools, including (i) conditional probability function (CPF), (ii) conditional bivariate probability function (CBPF), (iii) concentration weighted trajectory (CWT), and (iv) potential source contribution function (PSCF) analyses. Furthermore, the importance of biomass combustions to PM2.5 was also estimated. Average PM2.5 concentrations ranged between 54 and 16 μg m−3 in the cold and warm period, respectively. The mean value of total ions was 11 μg m−3 (range 1–46 μg m−3): The most abundant ion was nitrate with a share of 44 % followed by sulfate (29 %), ammonium (14 %), potassium (4 %), and chloride (4 %). Levoglucosan accounted for 1.2 % of the PM2.5 mass, and its concentration ranged from few ng m−3 in warm periods to 2.66 μg m−3 during winter. Average concentrations of levoglucosan during the cold period were higher than those found in other European urban sites. This result may indicate a great influence of biomass combustions on particulate matter pollution. Elemental and organic carbon (EC, OC) showed similar behavior, with the highest contributions during cold periods and lower during summer. The ratios between biomass burning indicators (K+, Cl−, NO3 −, SO4 2−, levoglucosan, EC, and OC) were used as proxy for the biomass burning estimation, and the contribution to the OC and PM2.5 was also calculated by using the levoglucosan (LG)/OC and LG/PM2.5 ratios and was estimated to be 29 and 18 %, respectively.</description><subject>Ammonium</subject><subject>Biomass</subject><subject>Biomass burning</subject><subject>Bivariate analysis</subject><subject>Burning</subject><subject>Combustion</subject><subject>Conditional probability</subject><subject>Environmental science</subject><subject>Ions</subject><subject>Levoglucosan</subject><subject>Nitrates</subject><subject>Organic carbon</subject><subject>Particulate emissions</subject><subject>Particulate matter</subject><subject>Sulfates</subject><subject>Trajectory analysis</subject><subject>Urban areas</subject><subject>Water 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Basic</collection><jtitle>Environmental science and pollution research international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Benetello, Francesca</au><au>Squizzato, Stefania</au><au>Hofer, Angelika</au><au>Masiol, Mauro</au><au>Khan, Md Badiuzzaman</au><au>Piazzalunga, Andrea</au><au>Fermo, Paola</au><au>menton, Gian Maria</au><au>Rampazzo, Giancarlo</au><au>Pavoni, Bruno</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimation of local and external contributions of biomass burning to PM^sub 2.5^ in an industrial zone included in a large urban settlement</atitle><jtitle>Environmental science and pollution research international</jtitle><date>2017-01-01</date><risdate>2017</risdate><volume>24</volume><issue>2</issue><spage>2100</spage><pages>2100-</pages><issn>0944-1344</issn><eissn>1614-7499</eissn><abstract>A total of 85 PM2.5 samples were collected at a site located in a large industrial zone (Porto Marghera, Venice, Italy) during a 1-year-long sampling campaign. Samples were analyzed to determine water-soluble inorganic ions, elemental and organic carbon, and levoglucosan, and results were processed to investigate the seasonal patterns, the relationship between the analyzed species, and the most probable sources by using a set of tools, including (i) conditional probability function (CPF), (ii) conditional bivariate probability function (CBPF), (iii) concentration weighted trajectory (CWT), and (iv) potential source contribution function (PSCF) analyses. Furthermore, the importance of biomass combustions to PM2.5 was also estimated. Average PM2.5 concentrations ranged between 54 and 16 μg m−3 in the cold and warm period, respectively. The mean value of total ions was 11 μg m−3 (range 1–46 μg m−3): The most abundant ion was nitrate with a share of 44 % followed by sulfate (29 %), ammonium (14 %), potassium (4 %), and chloride (4 %). Levoglucosan accounted for 1.2 % of the PM2.5 mass, and its concentration ranged from few ng m−3 in warm periods to 2.66 μg m−3 during winter. Average concentrations of levoglucosan during the cold period were higher than those found in other European urban sites. This result may indicate a great influence of biomass combustions on particulate matter pollution. Elemental and organic carbon (EC, OC) showed similar behavior, with the highest contributions during cold periods and lower during summer. The ratios between biomass burning indicators (K+, Cl−, NO3 −, SO4 2−, levoglucosan, EC, and OC) were used as proxy for the biomass burning estimation, and the contribution to the OC and PM2.5 was also calculated by using the levoglucosan (LG)/OC and LG/PM2.5 ratios and was estimated to be 29 and 18 %, respectively.</abstract><cop>Heidelberg</cop><pub>Springer Nature B.V</pub><doi>10.1007/s11356-016-7987-0</doi></addata></record> |
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subjects | Ammonium Biomass Biomass burning Bivariate analysis Burning Combustion Conditional probability Environmental science Ions Levoglucosan Nitrates Organic carbon Particulate emissions Particulate matter Sulfates Trajectory analysis Urban areas Water pollution |
title | Estimation of local and external contributions of biomass burning to PM^sub 2.5^ in an industrial zone included in a large urban settlement |
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