<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Bai, D. P.</style></author><author><style face="normal" font="default" size="100%">Wang, HL</style></author><author><style face="normal" font="default" size="100%">Tan, Y.</style></author><author><style face="normal" font="default" size="100%">Y. Yin</style></author><author><style face="normal" font="default" size="100%">ZJ Wu</style></author><author><style face="normal" font="default" size="100%">Guo, S.</style></author><author><style face="normal" font="default" size="100%">Shen, L. J.</style></author><author><style face="normal" font="default" size="100%">B. Zhu</style></author><author><style face="normal" font="default" size="100%">Wang, J. H.</style></author><author><style face="normal" font="default" size="100%">Kong, X. C.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Optical Properties of Aerosols and Chemical Composition Apportionment under Different Pollution Levels in Wuhan during January 2018</style></title><secondary-title><style face="normal" font="default" size="100%">Atmosphere</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Atmosphere-Basel</style></alt-title><short-title><style face="normal" font="default" size="100%">Atmosphere-BaselAtmosphere-Basel</style></short-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">episodes</style></keyword><keyword><style  face="normal" font="default" size="100%">gases</style></keyword><keyword><style  face="normal" font="default" size="100%">Guangzhou</style></keyword><keyword><style  face="normal" font="default" size="100%">haze</style></keyword><keyword><style  face="normal" font="default" size="100%">improve formula</style></keyword><keyword><style  face="normal" font="default" size="100%">instrument</style></keyword><keyword><style  face="normal" font="default" size="100%">light extinction</style></keyword><keyword><style  face="normal" font="default" size="100%">marga</style></keyword><keyword><style  face="normal" font="default" size="100%">Megacity</style></keyword><keyword><style  face="normal" font="default" size="100%">particles</style></keyword><keyword><style  face="normal" font="default" size="100%">pearl river-delta</style></keyword><keyword><style  face="normal" font="default" size="100%">pm2.5</style></keyword><keyword><style  face="normal" font="default" size="100%">relative humidity</style></keyword><keyword><style  face="normal" font="default" size="100%">wuhan</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year><pub-dates><date><style  face="normal" font="default" size="100%">Jan</style></date></pub-dates></dates><number><style face="normal" font="default" size="100%">1</style></number><volume><style face="normal" font="default" size="100%">11</style></volume><language><style face="normal" font="default" size="100%">English</style></language><abstract><style face="normal" font="default" size="100%">To clarify the aerosol optical properties under different pollution levels and their impacting factors, hourly organic carbon (OC), elemental carbon (EC), and water-soluble ion (WSI) concentrations in PM2.5 were observed by using monitoring for aerosols and gases (MARGA) and a semicontinuous OC/EC analyzer (Model RT-4) in Wuhan from 9 to 26 January 2018. The aerosol extinction coefficient (b(ext)) was reconstructed using the original Interagency Monitoring of Protected Visual Environment (IMPROVE) formula with a modification to include sea salt aerosols. A good correlation was obtained between the reconstructed b(ext) and measured b(ext) converted from visibility. b(ext) presented a unimodal distribution on polluted days (PM2.5 mass concentrations &amp;gt; 75 mu g.m(-3)), peaking at 19:00. b(ext) on clean days (PM2.5 mass concentrations &amp;lt; 75 mu g.m(-3)) did not change much during the day, while on polluted days, it increased rapidly starting at 12:00 due to the decrease of wind speed and increase of relative humidity (RH). PM2.5 mass concentrations, the aerosol scattering coefficient (b(scat)), and the aerosol extinction coefficient increased with pollution levels. The value of b(ext) was 854.72 Mm(-1) on bad days, which was 4.86, 3.1, 2.29, and 1.28 times of that obtained on excellent, good, acceptable, and poor days, respectively. When RH &amp;lt; 95%, b(ext) exhibited an increasing trend with RH under all pollution levels, and the higher the pollution level, the bigger the growth rate was. However, when RH &amp;gt; 95%, b(ext) on acceptable, poor and bad days decreased, while b(ext) on excellent and good days still increased. The overall b(ext) in Wuhan in January was mainly contributed by NH4NO3 (25.2%) and organic matter (20.1%). The contributions of NH4NO3 and (NH4)(2)SO4 to b(ext) increased significantly with pollution levels. On bad days, NH4NO3 and (NH4)(2)SO4 contributed the most to b(ext), accounting for 38.2% and 27.0%, respectively.</style></abstract><accession-num><style face="normal" font="default" size="100%">WOS:000516826200017</style></accession-num><notes><style face="normal" font="default" size="100%">&lt;p&gt;Kq3kuTimes Cited:0Cited References Count:43&lt;/p&gt;</style></notes><auth-address><style face="normal" font="default" size="100%">Nanjing Univ Informat Sci &amp;amp;amp; Technol, Collaborat Innovat Ctr Forecast &amp;amp;amp; Evaluat Meteoro, Key Lab Aerosol Cloud Precipitat China Meteorol A, Nanjing 210044, Peoples R ChinaPeking Univ, State Key Joint Lab Environm Simulat &amp;amp;amp; Pollut Con, Coll Environm Sci &amp;amp;amp; Engn, Beijing 100871, Peoples R ChinaChinese Acad Sci, Inst Atmospher Phys, State Key Lab Atmospher Boundary Layer Phys &amp;amp;amp; Atm, Beijing 100029, Peoples R ChinaOrdos Meteorol Bur Inner Mongolia, Ordos 017000, Peoples R China</style></auth-address></record></records></xml>