Estimation of Citywide Air Pollution in Beijing
Publication Date
January 08, 2013
Journal
PLOS ONE
Authors
Jin Feng Wang, Mao Gui Hu, Cheng Dong Xu, George Christakos, et al
Volume
8
Issue
1
Pages
e53400
DOI
https://dx.plos.org/10.1371/journal.pone.0053400
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0053400
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/23320082
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3539974
Europe PMC
http://europepmc.org/abstract/MED/23320082
Web of Science
000313429800046
Scopus
84872178339
Mendeley
http://www.mendeley.com/research/estimation-citywide-air-pollution-beijing
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Mendeley | Further Information

{"title"=>"Estimation of Citywide Air Pollution in Beijing", "type"=>"journal", "authors"=>[{"first_name"=>"Jin Feng", "last_name"=>"Wang", "scopus_author_id"=>"55868825200"}, {"first_name"=>"Mao Gui", "last_name"=>"Hu", "scopus_author_id"=>"24168602200"}, {"first_name"=>"Cheng Dong", "last_name"=>"Xu", "scopus_author_id"=>"55553302300"}, {"first_name"=>"George", "last_name"=>"Christakos", "scopus_author_id"=>"7005022800"}, {"first_name"=>"Yu", "last_name"=>"Zhao", "scopus_author_id"=>"57196239209"}], "year"=>2013, "source"=>"PLoS ONE", "identifiers"=>{"sgr"=>"84872178339", "pmid"=>"23320082", "pui"=>"368093950", "isbn"=>"1932-6203", "scopus"=>"2-s2.0-84872178339", "doi"=>"10.1371/journal.pone.0053400", "issn"=>"19326203"}, "id"=>"9824dfdd-3554-32a5-b995-e8e57dfe23e8", "abstract"=>"There has been discrepancies between the daily air quality reports of the Beijing municipal government, observations recorded at the U.S. Embassy in Beijing, and Beijing residents' perceptions of air quality. This study estimates Beijing's daily area PM(2.5) mass concentration by means of a novel technique SPA (Single Point Areal Estimation) that uses data from the single PM(2.5) observation station of the U.S Embassy and the 18 PM(10) observation stations of the Beijing Municipal Environmental Protection Bureau. The proposed technique accounts for empirical relationships between different types of observations, and generates best linear unbiased pollution estimates (in a statistical sense). The technique extends the daily PM(2.5) mass concentrations obtained at a single station (U.S. Embassy) to a citywide scale using physical relations between pollutant concentrations at the embassy PM(2.5) monitoring station and at the 18 official PM(10) stations that are evenly distributed across the city. Insight about the technique's spatial estimation accuracy (uncertainty) is gained by means of theoretical considerations and numerical validations involving real data. The technique was used to study citywide PM(2.5) pollution during the 423-day period of interest (May 10, 2010 to December 6, 2011). Finally, a freely downloadable software library is provided that performs all relevant calculations of pollution estimation.", "link"=>"http://www.mendeley.com/research/estimation-citywide-air-pollution-beijing", "reader_count"=>46, "reader_count_by_academic_status"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Student > Doctoral Student"=>5, "Researcher"=>7, "Student > Ph. D. Student"=>12, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>8, "Student > Bachelor"=>6, "Professor"=>2}, "reader_count_by_user_role"=>{"Unspecified"=>1, "Professor > Associate Professor"=>2, "Student > Doctoral Student"=>5, "Researcher"=>7, "Student > Ph. D. Student"=>12, "Student > Postgraduate"=>1, "Other"=>2, "Student > Master"=>8, "Student > Bachelor"=>6, "Professor"=>2}, "reader_count_by_subject_area"=>{"Engineering"=>4, "Unspecified"=>3, "Environmental Science"=>14, "Agricultural and Biological Sciences"=>3, "Medicine and Dentistry"=>1, "Neuroscience"=>1, "Business, Management and Accounting"=>2, "Social Sciences"=>2, "Computer Science"=>4, "Earth and Planetary Sciences"=>10, "Economics, Econometrics and Finance"=>1, "Chemistry"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>4}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Neuroscience"=>{"Neuroscience"=>1}, "Chemistry"=>{"Chemistry"=>1}, "Social Sciences"=>{"Social Sciences"=>2}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>10}, "Economics, Econometrics and Finance"=>{"Economics, Econometrics and Finance"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>3}, "Computer Science"=>{"Computer Science"=>4}, "Business, Management and Accounting"=>{"Business, Management and Accounting"=>2}, "Unspecified"=>{"Unspecified"=>3}, "Environmental Science"=>{"Environmental Science"=>14}}, "group_count"=>1}

CrossRef

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/512324"], "description"=>"<p>PM<sub>2.5</sub> concentration observed by a single station (U.S. Embassy), and estimated citywide PM<sub>2.5</sub> areal concentration (Beijing, China).</p>", "links"=>[], "tags"=>["observed", "citywide", "areal"], "article_id"=>182819, "categories"=>["Chemistry", "Biotechnology"], "users"=>["Jin-Feng Wang", "Mao-Gui Hu", "Cheng-Dong Xu", "George Christakos", "Yu Zhao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0053400.g003", "stats"=>{"downloads"=>1, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_PM_2_5_concentration_observed_by_a_single_station_U_S_Embassy_and_estimated_citywide_PM_2_5_areal_concentration_Beijing_China_/182819", "title"=>"PM<sub>2.5</sub> concentration observed by a single station (U.S. Embassy), and estimated citywide PM<sub>2.5</sub> areal concentration (Beijing, China).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-01-08 00:46:59"}
  • {"files"=>["https://ndownloader.figshare.com/files/512240"], "description"=>"<p>Relationship between stations and PM<sub>2.5</sub> areal concentration: <i>y<sub>i</sub></i> denotes PM<sub>10</sub> concentration reported by station <i>i</i>, and <i>X</i> is areal PM<sub>2.5</sub> concentration for Beijing; St. US denotes the U.S. Embassy station at which daily PM<sub>2.5</sub> concentration x<sub>0</sub> is observed; <i>X</i> is estimated by <i>x</i><sub>0</sub> using the SPA technique, based on observed PM<sub>2.5</sub> data at the embassy station, and their correlation with PM<sub>10</sub> concentrations observed at the 18 (evenly distributed) stations operated by BJ-EPB.</p>", "links"=>[], "tags"=>["stations", "areal", "denotes", "reported", "embassy", "spa", "observed", "concentrations", "18", "operated"], "article_id"=>182723, "categories"=>["Chemistry", "Biotechnology"], "users"=>["Jin-Feng Wang", "Mao-Gui Hu", "Cheng-Dong Xu", "George Christakos", "Yu Zhao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0053400.g002", "stats"=>{"downloads"=>2, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relationship_between_stations_and_PM_2_5_areal_concentration_y_i_denotes_PM_10_concentration_reported_by_station_i_and_X_is_areal_PM_2_5_concentration_for_Beijing_St_US_denotes_the_U_S_Embassy_station_at_which_daily_PM_2_5_concentration_x_0_is_observed_X/182723", "title"=>"Relationship between stations and PM<sub>2.5</sub> areal concentration: <i>y<sub>i</sub></i> denotes PM<sub>10</sub> concentration reported by station <i>i</i>, and <i>X</i> is areal PM<sub>2.5</sub> concentration for Beijing; St. US denotes the U.S. Embassy station at which daily PM<sub>2.5</sub> concentration x<sub>0</sub> is observed; <i>X</i> is estimated by <i>x</i><sub>0</sub> using the SPA technique, based on observed PM<sub>2.5</sub> data at the embassy station, and their correlation with PM<sub>10</sub> concentrations observed at the 18 (evenly distributed) stations operated by BJ-EPB.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-01-08 00:45:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/512439"], "description"=>"<p>Summary of R<sup>2</sup> values of the linear relationships between Beijing areal PM<sub>10</sub> estimated on the basis of a single station using SPA and the true area.</p>", "links"=>[], "tags"=>["linear", "relationships", "beijing", "areal", "spa"], "article_id"=>182932, "categories"=>["Chemistry", "Biotechnology"], "users"=>["Jin-Feng Wang", "Mao-Gui Hu", "Cheng-Dong Xu", "George Christakos", "Yu Zhao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0053400.t002", "stats"=>{"downloads"=>1, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Summary_of_R_2_values_of_the_linear_relationships_between_Beijing_areal_PM_10_estimated_on_the_basis_of_a_single_station_using_SPA_and_the_true_area_/182932", "title"=>"Summary of R<sup>2</sup> values of the linear relationships between Beijing areal PM<sub>10</sub> estimated on the basis of a single station using SPA and the true area.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-01-08 00:48:52"}
  • {"files"=>["https://ndownloader.figshare.com/files/512074"], "description"=>"<p>Location of BJ-EPB PM<sub>10</sub> monitoring stations and U.S Embassy PM<sub>2.5</sub> station (Beijing, China).</p>", "links"=>[], "tags"=>["bj-epb", "monitoring", "stations", "embassy"], "article_id"=>182566, "categories"=>["Chemistry", "Biotechnology"], "users"=>["Jin-Feng Wang", "Mao-Gui Hu", "Cheng-Dong Xu", "George Christakos", "Yu Zhao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0053400.g001", "stats"=>{"downloads"=>8, "page_views"=>106, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Location_of_BJ_EPB_PM_10_monitoring_stations_and_U_S_Embassy_PM_2_5_station_Beijing_China_/182566", "title"=>"Location of BJ-EPB PM<sub>10</sub> monitoring stations and U.S Embassy PM<sub>2.5</sub> station (Beijing, China).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2013-01-08 00:42:46"}
  • {"files"=>["https://ndownloader.figshare.com/files/512401"], "description"=>"<p>Pearson correlation coefficient between the U.S. Embassy PM2.5 concentration and 18 Beijing EPB PM<sub>10</sub> concentrations.</p>", "links"=>[], "tags"=>["coefficient", "embassy", "18", "beijing", "epb"], "article_id"=>182889, "categories"=>["Chemistry", "Biotechnology"], "users"=>["Jin-Feng Wang", "Mao-Gui Hu", "Cheng-Dong Xu", "George Christakos", "Yu Zhao"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0053400.t001", "stats"=>{"downloads"=>9, "page_views"=>54, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pearson_correlation_coefficient_between_the_U_S_Embassy_PM2_5_concentration_and_18_Beijing_EPB_PM_10_concentrations_/182889", "title"=>"Pearson correlation coefficient between the U.S. Embassy PM2.5 concentration and 18 Beijing EPB PM<sub>10</sub> concentrations.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2013-01-08 00:48:09"}
  • {"files"=>["https://ndownloader.figshare.com/files/278540", "https://ndownloader.figshare.com/files/278899"], "description"=>"<div><p>There has been discrepancies between the daily air quality reports of the Beijing municipal government, observations recorded at the U.S. Embassy in Beijing, and Beijing residents’ perceptions of air quality. This study estimates Beijing’s daily area PM<sub>2.5</sub> mass concentration by means of a novel technique SPA (Single Point Areal Estimation) that uses data from the single PM<sub>2.5</sub> observation station of the U.S Embassy and the 18 PM<sub>10</sub> observation stations of the Beijing Municipal Environmental Protection Bureau. The proposed technique accounts for empirical relationships between different types of observations, and generates best linear unbiased pollution estimates (in a statistical sense). The technique extends the daily PM<sub>2.5</sub> mass concentrations obtained at a single station (U.S. Embassy) to a citywide scale using physical relations between pollutant concentrations at the embassy PM<sub>2.5</sub> monitoring station and at the 18 official PM<sub>10</sub> stations that are evenly distributed across the city. Insight about the technique’s spatial estimation accuracy (uncertainty) is gained by means of theoretical considerations and numerical validations involving real data. The technique was used to study citywide PM<sub>2.5</sub> pollution during the 423-day period of interest (May 10, 2010 to December 6, 2011). Finally, a freely downloadable software library is provided that performs all relevant calculations of pollution estimation.</p> </div>", "links"=>[], "tags"=>["estimation", "citywide", "beijing"], "article_id"=>114924, "categories"=>["Chemistry", "Biotechnology"], "users"=>["Jin-Feng Wang", "Mao-Gui Hu", "Cheng-Dong Xu", "George Christakos", "Yu Zhao"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0053400.s001", "https://dx.doi.org/10.1371/journal.pone.0053400.s002"], "stats"=>{"downloads"=>16, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Estimation_of_Citywide_Air_Pollution_in_Beijing__/114924", "title"=>"Estimation of Citywide Air Pollution in Beijing", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2013-01-08 01:22:04"}

PMC Usage Stats | Further Information

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Relative Metric

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