{"id":83,"date":"2020-09-07T10:49:13","date_gmt":"2020-09-07T02:49:13","guid":{"rendered":"http:\/\/tapdata.org\/?page_id=83"},"modified":"2026-03-02T10:14:46","modified_gmt":"2026-03-02T02:14:46","slug":"method","status":"publish","type":"page","link":"http:\/\/tap-dev.makenv.com\/?page_id=83&lang=en","title":{"rendered":"How to cite"},"content":{"rendered":"\n<style>\n#content-core\n{\nbackground:#fff;\nbox-shadow: 0px 3px 3px rgba(35, 35, 35, 0.15);\npadding:30px;\nmargin-top:30px;\n}\n#content-core h3{\ncolor:#3EB457;\n}\n<\/style>\n\n\n\n<div class=\"wp-block-cover\" style=\"background-image:url(http:\/\/tap-dev.makenv.com\/wp-content\/uploads\/2025\/09\/finddata1-300x50-1.png);background-position:50% 15%;min-height:180px;aspect-ratio:unset;\"><div class=\"wp-block-cover__inner-container is-layout-flow wp-block-cover-is-layout-flow\">\n<p class=\"has-text-align-left has-large-font-size wp-block-paragraph\">How to cite<\/p>\n<\/div><\/div>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>If you use the PM<sub>2.5<\/sub> concentration data from TAP, please cite this website (http:\/\/tapdata.org.cn) and the following papers:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Geng, G., Xiao, Q., Liu, S., Liu, X., Cheng, J., Zheng, Y., Xue, T., Tong, D., Zheng, B., Peng, Y., Huang, X., He, K., &amp; Zhang, Q. (2021). Tracking Air Pollution in China: Near Real-Time PM<sub>2.5<\/sub> Retrievals from Multisource Data Fusion. <em>Environ Sci Technol<\/em>, <em>55, <\/em>12106-12115. <strong><span class=\"has-inline-color has-vivid-green-cyan-color\">[<\/span><a href=\"https:\/\/pubs.acs.org\/doi\/10.1021\/acs.est.1c01863\"><span class=\"has-inline-color has-vivid-green-cyan-color\">Link<\/span><\/a><span class=\"has-inline-color has-vivid-green-cyan-color\">]<\/span> <span class=\"has-inline-color has-vivid-red-color\">[<\/span><a href=\"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.est.1c01863\"><span class=\"has-inline-color has-vivid-red-color\">PDF<\/span><\/a><span class=\"has-inline-color has-vivid-red-color\">]<\/span><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Xiao, Q., Geng G., Liu, S., Liu, J., Meng, X., &amp; Zhang, Q. (2022). Spatiotemporal continuous estimates of daily 1\u2009km PM<sub>2.5<\/sub>&nbsp;from 2000 to present under the Tracking Air Pollution in China (TAP) framework. <em>Atmos Chem <\/em>Phys, <em>22, <\/em>13229\u201313242. <strong><span class=\"has-inline-color has-vivid-green-cyan-color\">[<\/span><a href=\"https:\/\/acp.copernicus.org\/articles\/22\/13229\/2022\/acp-22-13229-2022.html\"><span class=\"has-inline-color has-vivid-green-cyan-color\">Link<\/span><\/a><span class=\"has-inline-color has-vivid-green-cyan-color\">]<\/span> <span class=\"has-inline-color has-vivid-red-color\">[<\/span><a href=\"https:\/\/acp.copernicus.org\/articles\/22\/13229\/2022\/acp-22-13229-2022.pdf\"><span class=\"has-inline-color has-vivid-red-color\">PDF<\/span><\/a><span class=\"has-inline-color has-vivid-red-color\">]<\/span><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Xiao, Q., Zheng, Y., Geng, G., Chen, C., Huang, X., Che, H., Zhang, X., He, K., &amp; Zhang, Q. (2021). Separating emission and meteorological contribution to PM<sub>2.5<\/sub> trends over East China during 2000\u20132018. <em>Atmos Chem Phys<\/em>, <em>21<\/em>, 9475-9496. <strong><span class=\"has-inline-color has-vivid-green-cyan-color\">[<\/span><a href=\"https:\/\/acp.copernicus.org\/articles\/21\/9475\/2021\/\"><span class=\"has-inline-color has-vivid-green-cyan-color\">Link<\/span><\/a><span class=\"has-inline-color has-vivid-green-cyan-color\">]<\/span> <span class=\"has-inline-color has-vivid-red-color\">[<\/span><a href=\"https:\/\/acp.copernicus.org\/articles\/21\/9475\/2021\/acp-21-9475-2021.pdf\"><span class=\"has-inline-color has-vivid-red-color\">PDF<\/span><\/a><span class=\"has-inline-color has-vivid-red-color\">]<\/span><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Xiao, Q., Geng, G., Cheng, J., Liang, F., Li, R., Meng, X., Xue, T., Huang, X., Kan, H., Zhang, Q., &amp; He, K. (2021). Evaluation of gap-filling approaches in satellite-based daily PM<sub>2.5<\/sub>&nbsp;prediction models.&nbsp;<em>Atmos Environ, 244<\/em>, 117921. <strong><span class=\"has-inline-color has-vivid-green-cyan-color\">[<\/span><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1352231020306555\"><span class=\"has-inline-color has-vivid-green-cyan-color\">Link<\/span><\/a><span class=\"has-inline-color has-vivid-green-cyan-color\">]<\/span> <span class=\"has-inline-color has-vivid-red-color\">[<\/span><a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S1352231020306555\/pdfft?md5=e6a530ead7de636e672bbe03b084794c&amp;pid=1-s2.0-S1352231020306555-main.pdf\"><span class=\"has-inline-color has-vivid-red-color\">PDF<\/span><\/a><span class=\"has-inline-color has-vivid-red-color\">]<\/span><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>If you use the PM<sub>2.5<\/sub> chemical composition concentration data from TAP, please cite this website (http:\/\/tapdata.org.cn) and the following papers:<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Liu, S., Geng, G., Xiao, Q., Zheng, Y., Liu, X., Cheng, J., &amp; Zhang, Q. (2022). Tracking daily concentrations of PM<sub>2.5<\/sub> chemical composition in China since 2000. <em>Environ Sci Technol, <\/em>56, 16517\u201316527<em>.<\/em> <strong><span class=\"has-inline-color has-vivid-green-cyan-color\">[<\/span><a href=\"https:\/\/pubs.acs.org\/doi\/full\/10.1021\/acs.est.2c06510\"><span class=\"has-inline-color has-vivid-green-cyan-color\">Link<\/span><\/a><span class=\"has-inline-color has-vivid-green-cyan-color\">]<\/span> <span class=\"has-inline-color has-vivid-red-color\">[<\/span><a href=\"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.est.2c06510\"><span class=\"has-inline-color has-vivid-red-color\">PDF<\/span><\/a><span class=\"has-inline-color has-vivid-red-color\">]<\/span><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Geng, G., Zhang, Q., Tong, D., Li, M., Zheng, Y., Wang, S., &amp; He, K. (2017). Chemical composition of ambient PM<sub>2.5<\/sub> over China and relationship to precursor emissions during 2005\u20132012.&nbsp;<em><em>Atmos Chem Phys<\/em><\/em>,&nbsp;<em>17<\/em>(14), 9187-9203. <strong><span class=\"has-inline-color has-vivid-green-cyan-color\">[<\/span><a href=\"https:\/\/acp.copernicus.org\/articles\/17\/9187\/2017\/\"><span class=\"has-inline-color has-vivid-green-cyan-color\">Link<\/span><\/a><span class=\"has-inline-color has-vivid-green-cyan-color\">]<\/span> <span class=\"has-inline-color has-vivid-red-color\">[<\/span><a href=\"https:\/\/acp.copernicus.org\/articles\/17\/9187\/2017\/acp-17-9187-2017.pdf\"><span class=\"has-inline-color has-vivid-red-color\">PDF<\/span><\/a><span class=\"has-inline-color has-vivid-red-color\">]<\/span><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>If you use the O<sub>3<\/sub> concentration data from TAP, please cite this website (http:\/\/tapdata.org.cn) and the following papers<\/strong>:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Xue, T., Zheng, Y., Geng, G., Xiao, Q., Meng, X., Wang, M., Li, X., Wu, N., Zhang, Q., &amp; Zhu, T. (2020). Estimating spatiotemporal variation in ambient ozone exposure during 2013\u20132017 using a data-fusion model. <em>Environ Sci <em>Technol<\/em>, 54<\/em>, 14877-14888.<strong> <span class=\"has-inline-color has-vivid-green-cyan-color\">[<\/span><a href=\"https:\/\/pubs.acs.org\/doi\/10.1021\/acs.est.0c03098\"><span class=\"has-inline-color has-vivid-green-cyan-color\">Link<\/span><\/a><span class=\"has-inline-color has-vivid-green-cyan-color\">] <\/span><span class=\"has-inline-color has-vivid-red-color\">[<\/span><a href=\"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.est.0c03098\"><span class=\"has-inline-color has-vivid-red-color\">PDF<\/span><\/a><span class=\"has-inline-color has-vivid-red-color\">]<\/span><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Xiao, Q., Geng, G., Xue, T., Liu, S., Cai, C., He, K., &amp; Zhang, Q. (2021). Tracking PM<sub>2.5<\/sub> and O<sub>3<\/sub> Pollution and the Related Health Burden in China 2013\u20132020.&nbsp;<em><em>Environ Sci <em>Technol<\/em><\/em><\/em>.<strong> <span class=\"has-inline-color has-vivid-green-cyan-color\">[<\/span><a href=\"https:\/\/pubs.acs.org\/doi\/10.1021\/acs.est.1c04548\"><span class=\"has-inline-color has-vivid-green-cyan-color\">Link<\/span><\/a><span class=\"has-inline-color has-vivid-green-cyan-color\">] <\/span><span class=\"has-inline-color has-vivid-red-color\">[<\/span><a href=\"https:\/\/pubs.acs.org\/doi\/pdf\/10.1021\/acs.est.1c04548\"><span class=\"has-inline-color has-vivid-red-color\">PDF<\/span><\/a><span class=\"has-inline-color has-vivid-red-color\">]<\/span><\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>If you use the global PM<sub>2.5<\/sub> and fire PM<sub>2.5<\/sub> concentration data from TAP,  please cite this website (http:\/\/tapdata.org.cn) and the following papers<\/strong>:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Zhang, Q., Wang Y., Xiao Q., Geng G., S. J. Davis, Liu,X., J. Yang, J. J. Liu, W. Y. Huang, C. P. He, B. H. Luo, R. V. Martin, M. Brauer, J. T. Randerson, and K. B. He (2025), Long-range PM<sub>2.5<\/sub> pollution and health impacts from the 2023 Canadian wildfires.&nbsp;<em>Nature<\/em>.<span class=\"has-inline-color has-vivid-green-cyan-color\"> <strong>[<\/strong><\/span><strong><a href=\"https:\/\/www.nature.com\/articles\/s41586-025-09482-1\"><span class=\"has-inline-color has-vivid-green-cyan-color\">Link<\/span><\/a><\/strong><span class=\"has-inline-color has-vivid-green-cyan-color\"><strong>]<\/strong><\/span><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>If you use the global aerosol forecast data from TAP, please cite this website (http:\/\/tapdata.org.cn) and the following papers<\/strong>:\n<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Gui, K., Zhang, X., Che, H., Li, L., Zheng, Y., An, L., Miao, Y., Zhao, H., Dubovik, O., Holben, B., Wang, J., Gupta, P., Lind, E S., Toledano, C., Wang, H., Wang, Z., Wang, Y., Huang, X., Dai, K., Xia, X., Xu, X., &amp; Zhang, X. (2026). Advancing operational global aerosol forecasting with machine learning.&nbsp;<em>Nature<\/em>.<span class=\"has-inline-color has-vivid-green-cyan-color\"> <strong>[<\/strong><\/span><strong><a href=\" https:\/\/www.nature.com\/articles\/s41586-026-10234-y\"><span class=\"has-inline-color has-vivid-green-cyan-color\">Link<\/span><\/a><\/strong><span class=\"has-inline-color has-vivid-green-cyan-color\"><strong>]<\/strong><\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>If you use the PM2.5 concentration data from TAP, pleas&hellip;<\/p>\n<p class=\"more-link\"><a href=\"http:\/\/tap-dev.makenv.com\/?page_id=83&#038;lang=en\" class=\"themebutton2\">Read More<\/a><\/p>\n","protected":false},"author":17,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-83","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"http:\/\/tap-dev.makenv.com\/index.php?rest_route=\/wp\/v2\/pages\/83","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/tap-dev.makenv.com\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"http:\/\/tap-dev.makenv.com\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"http:\/\/tap-dev.makenv.com\/index.php?rest_route=\/wp\/v2\/users\/17"}],"replies":[{"embeddable":true,"href":"http:\/\/tap-dev.makenv.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=83"}],"version-history":[{"count":45,"href":"http:\/\/tap-dev.makenv.com\/index.php?rest_route=\/wp\/v2\/pages\/83\/revisions"}],"predecessor-version":[{"id":2118,"href":"http:\/\/tap-dev.makenv.com\/index.php?rest_route=\/wp\/v2\/pages\/83\/revisions\/2118"}],"wp:attachment":[{"href":"http:\/\/tap-dev.makenv.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=83"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}