@article{ WOS:000414881000043,
Author = {Guo, Hao and Kota, Sri Harsha and Sahu, Shovan Kumar and Hu, Jianlin and
   Ying, Qi and Gao, Aifang and Zhang, Hongliang},
Title = {{Source apportionment of PM2.5 in North India using source-oriented air
   quality models}},
Journal = {{ENVIRONMENTAL POLLUTION}},
Year = {{2017}},
Volume = {{231}},
Number = {{1}},
Pages = {{426-436}},
Month = {{DEC}},
Abstract = {{In recent years, severe pollution events were observed frequently in
   India especially at its capital, New Delhi. However, limited studies
   have been conducted to understand the sources to high pollutant
   concentrations for designing effective control strategies. In this work,
   source-oriented versions of the Community Multi-scale Air Quality (CMAQ)
   model with Emissions Database for Global Atmospheric Research (EDGAR)
   were applied to quantify the contributions of eight source types
   (energy, industry, residential, on-road, off-road, agriculture, open
   burning and dust) to fine particulate matter (PM2.5) and its components
   including primary PM (PPM) and secondary inorganic aerosol (SIA) i.e.
   sulfate, nitrate and ammonium ions, in Delhi and three surrounding
   cities, Chandigarh, Lucknow and Jaipur in 2015. PPM mass is dominated by
   industry and residential activities (>60\%). Energy (similar to 39\%)
   and industry (similar to 45\%) sectors contribute significantly to PPM
   at south of Delhi, which reach a maximum of 200 mu g/m(3) during winter.
   Unlike PPM, SIA concentrations from different sources are more
   heterogeneous. High SIA concentrations (similar to 25 mu g/m(3)) at
   south Delhi and central Uttar Pradesh were mainly attributed to energy,
   industry and residential sectors. Agriculture is more important for SIA
   than PPM and contributions of on road and open burning to SIA are also
   higher than to PPM. Residential sector contributes highest to total
   PM2.5 (similar to 80 mu g/m(3)), followed by industry (similar to 70 mu
   g/m(3)) in North India. Energy and agriculture contribute similar to 25
   mu g/m(3) and similar to 16 mu g/m(3) to total PM2.5, while SOA
   contributes <5 mu g/m(3). In Delhi, industry and residential activities
   contribute to 80\% of total PM2.5. (C) 2017 Elsevier Ltd. All rights
   reserved.}},
Publisher = {{ELSEVIER SCI LTD}},
Address = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},
Type = {{Article}},
Language = {{English}},
Affiliation = {{Zhang, HL (Corresponding Author), Louisiana State Univ, Dept Civil \& Environm Engn, Baton Rouge, LA 70803 USA.
   Guo, Hao; Zhang, Hongliang, Louisiana State Univ, Dept Civil \& Environm Engn, Baton Rouge, LA 70803 USA.
   Kota, Sri Harsha; Sahu, Shovan Kumar, Indian Inst Technol Guwahati, Dept Civil Engn, Gauhati 781039, India.
   Hu, Jianlin; Zhang, Hongliang, Nanjing Univ Informat Sci \& Technol, Jiangsu Engn Technol Res Ctr Environm Cleaning Ma, Collaborat Innovat Ctr Atmospher Environm \& Equip, Sch Environm Sci \& Engn,Jiangsu Key Lab Atmospher, 219 Ningliu Rd, Nanjing 210044, Jiangsu, Peoples R China.
   Ying, Qi, Texas A\&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA.
   Gao, Aifang, Hebei GEO Univ, Sch Water Resources \& Environm, Shijiazhuang 050031, Hebei, Peoples R China.
   Gao, Aifang, Hebei Key Lab Sustained Utilizat \& Dev Water Reso, Shijiazhuang 050031, Hebei, Peoples R China.}},
DOI = {{10.1016/j.envpol.2017.08.016}},
ISSN = {{0269-7491}},
EISSN = {{1873-6424}},
Keywords = {{Source apportionment; PM2.5; India; Delhi; CMAQ}},
Keywords-Plus = {{SECONDARY ORGANIC AEROSOL; NATIONAL NATURE-RESERVE; THERMAL
   POWER-PLANTS; PARTICULATE MATTER; HOSPITAL ADMISSIONS; WET DEPOSITION;
   POLLUTION; EMISSIONS; TRANSPORT; DELHI}},
Research-Areas = {{Environmental Sciences \& Ecology}},
Web-of-Science-Categories  = {{Environmental Sciences}},
Author-Email = {{hlzhang@lsu.edu}},
ResearcherID-Numbers = {{Sahu, Shovan Kumar/ABC-1222-2021
   Zhang, Hongliang/C-2499-2012
   }},
ORCID-Numbers = {{Zhang, Hongliang/0000-0002-1797-2311
   Kota, Sri/0000-0002-1977-2954
   Ying, Qi/0000-0002-4560-433X}},
Funding-Acknowledgement = {{European Climate Foundation {[}G-1606-00917]; Jiangsu Key Laboratory of
   Atmospheric Environment Monitoring and Pollution Control {[}KHK1512];
   Priority Academic Program Development of Jiangsu Higher Education
   Institutions (PAPD)}},
Funding-Text = {{Portions of this research were conducted with high performance computing
   resources provided by Louisiana State University
   (http://www.hpc.lsu.edu) and Indian Institute of Technology, Guwahati
   (http://www.iitg.ernet.in/param-ishan/index.html). The project is funded
   by European Climate Foundation (G-1606-00917). Open fund by Jiangsu Key
   Laboratory of Atmospheric Environment Monitoring and Pollution Control
   (KHK1512), A Project Funded by the Priority Academic Program Development
   of Jiangsu Higher Education Institutions (PAPD).}},
Number-of-Cited-References = {{54}},
Times-Cited = {{62}},
Usage-Count-Last-180-days = {{7}},
Usage-Count-Since-2013 = {{62}},
Journal-ISO = {{Environ. Pollut.}},
Doc-Delivery-Number = {{FM3CD}},
Unique-ID = {{WOS:000414881000043}},
DA = {{2021-12-02}},
}

{"_id":"Hn22YbknCeA7h9dLM","bibbaseid":"guo-kota-sahu-hu-ying-gao-zhang-sourceapportionmentofpm25innorthindiausingsourceorientedairqualitymodels-2017","author_short":["Guo, H.","Kota, S. H.","Sahu, S. K.","Hu, J.","Ying, Q.","Gao, A.","Zhang, H."],"bibdata":{"bibtype":"article","type":"Article","author":[{"propositions":[],"lastnames":["Guo"],"firstnames":["Hao"],"suffixes":[]},{"propositions":[],"lastnames":["Kota"],"firstnames":["Sri","Harsha"],"suffixes":[]},{"propositions":[],"lastnames":["Sahu"],"firstnames":["Shovan","Kumar"],"suffixes":[]},{"propositions":[],"lastnames":["Hu"],"firstnames":["Jianlin"],"suffixes":[]},{"propositions":[],"lastnames":["Ying"],"firstnames":["Qi"],"suffixes":[]},{"propositions":[],"lastnames":["Gao"],"firstnames":["Aifang"],"suffixes":[]},{"propositions":[],"lastnames":["Zhang"],"firstnames":["Hongliang"],"suffixes":[]}],"title":"Source apportionment of PM2.5 in North India using source-oriented air quality models","journal":"ENVIRONMENTAL POLLUTION","year":"2017","volume":"231","number":"1","pages":"426-436","month":"DEC","abstract":"In recent years, severe pollution events were observed frequently in India especially at its capital, New Delhi. However, limited studies have been conducted to understand the sources to high pollutant concentrations for designing effective control strategies. In this work, source-oriented versions of the Community Multi-scale Air Quality (CMAQ) model with Emissions Database for Global Atmospheric Research (EDGAR) were applied to quantify the contributions of eight source types (energy, industry, residential, on-road, off-road, agriculture, open burning and dust) to fine particulate matter (PM2.5) and its components including primary PM (PPM) and secondary inorganic aerosol (SIA) i.e. sulfate, nitrate and ammonium ions, in Delhi and three surrounding cities, Chandigarh, Lucknow and Jaipur in 2015. PPM mass is dominated by industry and residential activities (>60%). Energy (similar to 39%) and industry (similar to 45%) sectors contribute significantly to PPM at south of Delhi, which reach a maximum of 200 mu g/m(3) during winter. Unlike PPM, SIA concentrations from different sources are more heterogeneous. High SIA concentrations (similar to 25 mu g/m(3)) at south Delhi and central Uttar Pradesh were mainly attributed to energy, industry and residential sectors. Agriculture is more important for SIA than PPM and contributions of on road and open burning to SIA are also higher than to PPM. Residential sector contributes highest to total PM2.5 (similar to 80 mu g/m(3)), followed by industry (similar to 70 mu g/m(3)) in North India. Energy and agriculture contribute similar to 25 mu g/m(3) and similar to 16 mu g/m(3) to total PM2.5, while SOA contributes <5 mu g/m(3). In Delhi, industry and residential activities contribute to 80% of total PM2.5. (C) 2017 Elsevier Ltd. All rights reserved.","publisher":"ELSEVIER SCI LTD","address":"THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND","language":"English","affiliation":"Zhang, HL (Corresponding Author), Louisiana State Univ, Dept Civil & Environm Engn, Baton Rouge, LA 70803 USA. Guo, Hao; Zhang, Hongliang, Louisiana State Univ, Dept Civil & Environm Engn, Baton Rouge, LA 70803 USA. Kota, Sri Harsha; Sahu, Shovan Kumar, Indian Inst Technol Guwahati, Dept Civil Engn, Gauhati 781039, India. Hu, Jianlin; Zhang, Hongliang, Nanjing Univ Informat Sci & Technol, Jiangsu Engn Technol Res Ctr Environm Cleaning Ma, Collaborat Innovat Ctr Atmospher Environm & Equip, Sch Environm Sci & Engn,Jiangsu Key Lab Atmospher, 219 Ningliu Rd, Nanjing 210044, Jiangsu, Peoples R China. Ying, Qi, Texas A&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA. Gao, Aifang, Hebei GEO Univ, Sch Water Resources & Environm, Shijiazhuang 050031, Hebei, Peoples R China. Gao, Aifang, Hebei Key Lab Sustained Utilizat & Dev Water Reso, Shijiazhuang 050031, Hebei, Peoples R China.","doi":"10.1016/j.envpol.2017.08.016","issn":"0269-7491","eissn":"1873-6424","keywords":"Source apportionment; PM2.5; India; Delhi; CMAQ","keywords-plus":"SECONDARY ORGANIC AEROSOL; NATIONAL NATURE-RESERVE; THERMAL POWER-PLANTS; PARTICULATE MATTER; HOSPITAL ADMISSIONS; WET DEPOSITION; POLLUTION; EMISSIONS; TRANSPORT; DELHI","research-areas":"Environmental Sciences & Ecology","web-of-science-categories":"Environmental Sciences","author-email":"hlzhang@lsu.edu","researcherid-numbers":"Sahu, Shovan Kumar/ABC-1222-2021 Zhang, Hongliang/C-2499-2012 ","orcid-numbers":"Zhang, Hongliang/0000-0002-1797-2311 Kota, Sri/0000-0002-1977-2954 Ying, Qi/0000-0002-4560-433X","funding-acknowledgement":"European Climate Foundation [G-1606-00917]; Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control [KHK1512]; Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD)","funding-text":"Portions of this research were conducted with high performance computing resources provided by Louisiana State University (http://www.hpc.lsu.edu) and Indian Institute of Technology, Guwahati (http://www.iitg.ernet.in/param-ishan/index.html). The project is funded by European Climate Foundation (G-1606-00917). Open fund by Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control (KHK1512), A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).","number-of-cited-references":"54","times-cited":"62","usage-count-last-180-days":"7","usage-count-since-2013":"62","journal-iso":"Environ. Pollut.","doc-delivery-number":"FM3CD","unique-id":"WOS:000414881000043","da":"2021-12-02","bibtex":"@article{ WOS:000414881000043,\nAuthor = {Guo, Hao and Kota, Sri Harsha and Sahu, Shovan Kumar and Hu, Jianlin and\n Ying, Qi and Gao, Aifang and Zhang, Hongliang},\nTitle = {{Source apportionment of PM2.5 in North India using source-oriented air\n quality models}},\nJournal = {{ENVIRONMENTAL POLLUTION}},\nYear = {{2017}},\nVolume = {{231}},\nNumber = {{1}},\nPages = {{426-436}},\nMonth = {{DEC}},\nAbstract = {{In recent years, severe pollution events were observed frequently in\n India especially at its capital, New Delhi. However, limited studies\n have been conducted to understand the sources to high pollutant\n concentrations for designing effective control strategies. In this work,\n source-oriented versions of the Community Multi-scale Air Quality (CMAQ)\n model with Emissions Database for Global Atmospheric Research (EDGAR)\n were applied to quantify the contributions of eight source types\n (energy, industry, residential, on-road, off-road, agriculture, open\n burning and dust) to fine particulate matter (PM2.5) and its components\n including primary PM (PPM) and secondary inorganic aerosol (SIA) i.e.\n sulfate, nitrate and ammonium ions, in Delhi and three surrounding\n cities, Chandigarh, Lucknow and Jaipur in 2015. PPM mass is dominated by\n industry and residential activities (>60\\%). Energy (similar to 39\\%)\n and industry (similar to 45\\%) sectors contribute significantly to PPM\n at south of Delhi, which reach a maximum of 200 mu g/m(3) during winter.\n Unlike PPM, SIA concentrations from different sources are more\n heterogeneous. High SIA concentrations (similar to 25 mu g/m(3)) at\n south Delhi and central Uttar Pradesh were mainly attributed to energy,\n industry and residential sectors. Agriculture is more important for SIA\n than PPM and contributions of on road and open burning to SIA are also\n higher than to PPM. Residential sector contributes highest to total\n PM2.5 (similar to 80 mu g/m(3)), followed by industry (similar to 70 mu\n g/m(3)) in North India. Energy and agriculture contribute similar to 25\n mu g/m(3) and similar to 16 mu g/m(3) to total PM2.5, while SOA\n contributes <5 mu g/m(3). In Delhi, industry and residential activities\n contribute to 80\\% of total PM2.5. (C) 2017 Elsevier Ltd. All rights\n reserved.}},\nPublisher = {{ELSEVIER SCI LTD}},\nAddress = {{THE BOULEVARD, LANGFORD LANE, KIDLINGTON, OXFORD OX5 1GB, OXON, ENGLAND}},\nType = {{Article}},\nLanguage = {{English}},\nAffiliation = {{Zhang, HL (Corresponding Author), Louisiana State Univ, Dept Civil \\& Environm Engn, Baton Rouge, LA 70803 USA.\n Guo, Hao; Zhang, Hongliang, Louisiana State Univ, Dept Civil \\& Environm Engn, Baton Rouge, LA 70803 USA.\n Kota, Sri Harsha; Sahu, Shovan Kumar, Indian Inst Technol Guwahati, Dept Civil Engn, Gauhati 781039, India.\n Hu, Jianlin; Zhang, Hongliang, Nanjing Univ Informat Sci \\& Technol, Jiangsu Engn Technol Res Ctr Environm Cleaning Ma, Collaborat Innovat Ctr Atmospher Environm \\& Equip, Sch Environm Sci \\& Engn,Jiangsu Key Lab Atmospher, 219 Ningliu Rd, Nanjing 210044, Jiangsu, Peoples R China.\n Ying, Qi, Texas A\\&M Univ, Zachry Dept Civil Engn, College Stn, TX 77843 USA.\n Gao, Aifang, Hebei GEO Univ, Sch Water Resources \\& Environm, Shijiazhuang 050031, Hebei, Peoples R China.\n Gao, Aifang, Hebei Key Lab Sustained Utilizat \\& Dev Water Reso, Shijiazhuang 050031, Hebei, Peoples R China.}},\nDOI = {{10.1016/j.envpol.2017.08.016}},\nISSN = {{0269-7491}},\nEISSN = {{1873-6424}},\nKeywords = {{Source apportionment; PM2.5; India; Delhi; CMAQ}},\nKeywords-Plus = {{SECONDARY ORGANIC AEROSOL; NATIONAL NATURE-RESERVE; THERMAL\n POWER-PLANTS; PARTICULATE MATTER; HOSPITAL ADMISSIONS; WET DEPOSITION;\n POLLUTION; EMISSIONS; TRANSPORT; DELHI}},\nResearch-Areas = {{Environmental Sciences \\& Ecology}},\nWeb-of-Science-Categories = {{Environmental Sciences}},\nAuthor-Email = {{hlzhang@lsu.edu}},\nResearcherID-Numbers = {{Sahu, Shovan Kumar/ABC-1222-2021\n Zhang, Hongliang/C-2499-2012\n }},\nORCID-Numbers = {{Zhang, Hongliang/0000-0002-1797-2311\n Kota, Sri/0000-0002-1977-2954\n Ying, Qi/0000-0002-4560-433X}},\nFunding-Acknowledgement = {{European Climate Foundation {[}G-1606-00917]; Jiangsu Key Laboratory of\n Atmospheric Environment Monitoring and Pollution Control {[}KHK1512];\n Priority Academic Program Development of Jiangsu Higher Education\n Institutions (PAPD)}},\nFunding-Text = {{Portions of this research were conducted with high performance computing\n resources provided by Louisiana State University\n (http://www.hpc.lsu.edu) and Indian Institute of Technology, Guwahati\n (http://www.iitg.ernet.in/param-ishan/index.html). The project is funded\n by European Climate Foundation (G-1606-00917). Open fund by Jiangsu Key\n Laboratory of Atmospheric Environment Monitoring and Pollution Control\n (KHK1512), A Project Funded by the Priority Academic Program Development\n of Jiangsu Higher Education Institutions (PAPD).}},\nNumber-of-Cited-References = {{54}},\nTimes-Cited = {{62}},\nUsage-Count-Last-180-days = {{7}},\nUsage-Count-Since-2013 = {{62}},\nJournal-ISO = {{Environ. Pollut.}},\nDoc-Delivery-Number = {{FM3CD}},\nUnique-ID = {{WOS:000414881000043}},\nDA = {{2021-12-02}},\n}\n\n","author_short":["Guo, H.","Kota, S. H.","Sahu, S. K.","Hu, J.","Ying, Q.","Gao, A.","Zhang, H."],"key":"WOS:000414881000043","id":"WOS:000414881000043","bibbaseid":"guo-kota-sahu-hu-ying-gao-zhang-sourceapportionmentofpm25innorthindiausingsourceorientedairqualitymodels-2017","role":"author","urls":{},"keyword":["Source apportionment; PM2.5; India; Delhi; CMAQ"],"metadata":{"authorlinks":{}}},"bibtype":"article","biburl":"http://yingqi95616.ddns.net:8001/publicationlist.bib","dataSources":["kTLQ96xxQwQovcx6r","LT3gToj3w22mutXHY","MjJL6KgnAM64Por3d","SN9t6exrr8GS3PxiX"],"keywords":["source apportionment; pm2.5; india; delhi; cmaq"],"search_terms":["source","apportionment","pm2","north","india","using","source","oriented","air","quality","models","guo","kota","sahu","hu","ying","gao","zhang"],"title":"Source apportionment of PM2.5 in North India using source-oriented air quality models","year":2017}