<?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.</style></author><author><style face="normal" font="default" size="100%">Wang, H</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%">Wu, Z.</style></author><author><style face="normal" font="default" size="100%">Guo, S.</style></author><author><style face="normal" font="default" size="100%">Shen, L.</style></author><author><style face="normal" font="default" size="100%">B. Zhu</style></author><author><style face="normal" font="default" size="100%">J. Wang</style></author><author><style face="normal" font="default" size="100%">Kong, X.</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%">AtmosphereAtmosphereAtmosphere</style></secondary-title><alt-title><style face="normal" font="default" size="100%">Atmosphere</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%">Aerosol extinction coefficient</style></keyword><keyword><style  face="normal" font="default" size="100%">Aerosol optical property</style></keyword><keyword><style  face="normal" font="default" size="100%">aerosol property</style></keyword><keyword><style  face="normal" font="default" size="100%">Aerosol scattering coefficient</style></keyword><keyword><style  face="normal" font="default" size="100%">aerosols</style></keyword><keyword><style  face="normal" font="default" size="100%">air pollution</style></keyword><keyword><style  face="normal" font="default" size="100%">Atmospheric humidity</style></keyword><keyword><style  face="normal" font="default" size="100%">atmospheric pollution</style></keyword><keyword><style  face="normal" font="default" size="100%">Chemical composition</style></keyword><keyword><style  face="normal" font="default" size="100%">China</style></keyword><keyword><style  face="normal" font="default" size="100%">concentration (composition)</style></keyword><keyword><style  face="normal" font="default" size="100%">Growth rate</style></keyword><keyword><style  face="normal" font="default" size="100%">Hubei</style></keyword><keyword><style  face="normal" font="default" size="100%">improve formula</style></keyword><keyword><style  face="normal" font="default" size="100%">Interagency monitoring of protected visual environments</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%">Nitrogen compounds</style></keyword><keyword><style  face="normal" font="default" size="100%">optical properties</style></keyword><keyword><style  face="normal" font="default" size="100%">Optical properties of aerosols</style></keyword><keyword><style  face="normal" font="default" size="100%">Optical property</style></keyword><keyword><style  face="normal" font="default" size="100%">Organic carbon</style></keyword><keyword><style  face="normal" font="default" size="100%">relative humidity</style></keyword><keyword><style  face="normal" font="default" size="100%">Water pollution</style></keyword><keyword><style  face="normal" font="default" size="100%">Wind</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></dates><number><style face="normal" font="default" size="100%">1</style></number><publisher><style face="normal" font="default" size="100%">MDPI AG</style></publisher><volume><style face="normal" font="default" size="100%">11</style></volume><isbn><style face="normal" font="default" size="100%">20734433 (ISSN)</style></isbn><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 (bext) 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 bext and measured bext converted from visibility. bext presented a unimodal distribution on polluted days (PM2.5 mass concentrations &amp;amp;gt; 75 μg•m-3), peaking at 19:00. bext on clean days (PM2.5 mass concentrations &amp;amp;lt; 75 μg•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 (bscat), and the aerosol extinction coefficient increased with pollution levels. The value of bext 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;amp;lt; 95%, bext 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;amp;gt; 95%, bext on acceptable, poor and bad days decreased, while bext on excellent and good days still increased. The overall bext inWuhan in January was mainly contributed by NH4NO3 (25.2%) and organic matter (20.1%). The contributions of NH4NO3 and (NH4)2SO4 to bext increased significantly with pollution levels. On bad days, NH4NO3 and (NH4)2SO4 contributed the most to bext, accounting for 38.2% and 27.0%, respectively. © 2019 by the authors.</style></abstract><work-type><style face="normal" font="default" size="100%">Article</style></work-type><notes><style face="normal" font="default" size="100%">Export Date: 20 August 2020通讯地址: Wang, H.; Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and TechnologyChina; 电子邮件: hongleiwang@nuist.edu.cn基金资助详情: State Key Joint Laboratory of Environmental Simulation and Pollution Control, 19K03ESPCP基金资助详情: Natural Science Foundation of Jiangsu Province, BK20180801基金资助详情: National Natural Science Foundation of China, NSFC, 41905026, 41805096, 91644224基金资助详情: 18KJB170011基金资助文本 1: Funding: This study was supported by the National Natural Science Foundation of China (91644224, 41805096 and 41905026), the special fund of State Key Joint Laboratory of Environment Simulation and Pollution Control (19K03ESPCP), the Natural Science Foundation of Jiangsu Province (BK20180801) and the Natural Science Research Project for Universities of Jiangsu Province, China (18KJB170011).</style></notes><custom7><style face="normal" font="default" size="100%">17</style></custom7><auth-address><style face="normal" font="default" size="100%">Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters, Key Laboratory for Aerosol-Cloud-Precipitation of China Meteorological Administration, Nanjing University of Information Science and Technology, Nanjing, 210044, ChinaState Key Joint Laboratory of Environment Simulation, Pollution Control (PekingUniversity) College of Environmental Sciences and Engineering, Peking University, Beijing, 100871, ChinaState Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029, ChinaOrdos Meteorological Bureau of Inner Mongolia, Ordos, 017000, China</style></auth-address><remote-database-name><style face="normal" font="default" size="100%">Scopus</style></remote-database-name></record></records></xml>