<?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%">Tan, Y.</style></author><author><style face="normal" font="default" size="100%">Wang, H</style></author><author><style face="normal" font="default" size="100%">S. Shi</style></author><author><style face="normal" font="default" size="100%">Shen, L.</style></author><author><style face="normal" font="default" size="100%">C. Zhang</style></author><author><style face="normal" font="default" size="100%">B. Zhu</style></author><author><style face="normal" font="default" size="100%">Guo, S.</style></author><author><style face="normal" font="default" size="100%">Wu, Z.</style></author><author><style face="normal" font="default" size="100%">Z. Song</style></author><author><style face="normal" font="default" size="100%">Y. Yin</style></author><author><style face="normal" font="default" size="100%">Liu, A.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Annual variations of black carbon over the Yangtze River Delta from 2015 to 2018</style></title><secondary-title><style face="normal" font="default" size="100%">Journal of Environmental Sciences (China)Journal of Environmental Sciences (China)J. Environ. Sci.</style></secondary-title><alt-title><style face="normal" font="default" size="100%">J. Environ. Sci.</style></alt-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Absorption Ångström exponent (AAE)</style></keyword><keyword><style  face="normal" font="default" size="100%">air quality</style></keyword><keyword><style  face="normal" font="default" size="100%">Annual average concentration</style></keyword><keyword><style  face="normal" font="default" size="100%">atmospheric pollution</style></keyword><keyword><style  face="normal" font="default" size="100%">black carbon</style></keyword><keyword><style  face="normal" font="default" size="100%">Black carbon (BC)</style></keyword><keyword><style  face="normal" font="default" size="100%">Carbon</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%">Mass concentration</style></keyword><keyword><style  face="normal" font="default" size="100%">Meteorological elements</style></keyword><keyword><style  face="normal" font="default" size="100%">Meteorological parameters</style></keyword><keyword><style  face="normal" font="default" size="100%">particulate matter</style></keyword><keyword><style  face="normal" font="default" size="100%">pollution effect</style></keyword><keyword><style  face="normal" font="default" size="100%">pollution monitoring</style></keyword><keyword><style  face="normal" font="default" size="100%">Seasonal variation</style></keyword><keyword><style  face="normal" font="default" size="100%">source apportionment</style></keyword><keyword><style  face="normal" font="default" size="100%">Temporal characteristics</style></keyword><keyword><style  face="normal" font="default" size="100%">temporal variation</style></keyword><keyword><style  face="normal" font="default" size="100%">visibility</style></keyword><keyword><style  face="normal" font="default" size="100%">Visibility threshold</style></keyword><keyword><style  face="normal" font="default" size="100%">Yangtze River</style></keyword><keyword><style  face="normal" font="default" size="100%">yangtze river delta</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2020</style></year></dates><publisher><style face="normal" font="default" size="100%">Chinese Academy of Sciences</style></publisher><volume><style face="normal" font="default" size="100%">96</style></volume><pages><style face="normal" font="default" size="100%">72-84</style></pages><isbn><style face="normal" font="default" size="100%">10010742 (ISSN)</style></isbn><language><style face="normal" font="default" size="100%">English</style></language><abstract><style face="normal" font="default" size="100%">In this study, the black carbon (BC) measurements in the atmosphere of Nanjing, China were continuously conducted from 2015 to 2018 using a Model AE-33 aethalometer. By combining dataset of PM2.5, PM10, CO, NO2, SO2, O3 and meteorological parameters, the temporal variations and the source apportionment of BC were given in this study. The results showed that the PM2.5 mass concentrations decreased in Nanjing, with an average annual rate of variation of 6.50 μg/(m3⋅year). Differently, the annual average concentrations of BC increased with an average annual variation rate of 214.71 ng/(m3⋅year). The seasonal variations showed the pattern of BC mass concentrations in winter &amp;amp;gt; autumn &amp;amp;gt; spring &amp;amp;gt; summer. The diurnal variations of BC mass concentrations showed a double-peak in all four seasons. The first peak occurred at approximately 7:00 in spring, summer and autumn and around 8:00 in winter. The second peak took place after 18:00. The average AAE (absorption Ångström exponent) was 1.26 with a maximum of 1.35 during wintertime and the lowest (1.12) during summertime. In addition, the AAE was smaller in the daytime than that at night, with a minimum occurring between 13:00 and 14:00. BC and visibility show a good power-function relationship at different humidity levels. The average values of the visibility thresholds of the BC mass concentrations in spring, summer, autumn and winter were 1.326, 5.522, 1.340 and 0.708 μg/m3, respectively. The greater the relative humidity, the smaller the visibility threshold for the BC mass concentrations was. © 2020</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 &amp;amp;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, 41805096, 91644224基金资助详情: 18KJB170011基金资助文本 1: This study was supported by the National Natural Science Foundation of China (Nos. 91644224 and 41805096 ), the special fund of State Key Joint Laboratory of Environment Simulation and Pollution Control (No. 19K03ESPCP ), the Natural Science Foundation of Jiangsu Province (No. BK20180801 ) and the Natural Science Research Project for Universities of Jiangsu Province, China (No. 18KJB170011 ) .</style></notes><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 &amp;amp;Technology, Nanjing, 210044, ChinaState Key Joint Laboratory of Environment Simulation and Pollution Control (Peking University) 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, China</style></auth-address><remote-database-name><style face="normal" font="default" size="100%">Scopus</style></remote-database-name></record></records></xml>