000858702 001__ 858702 000858702 005__ 20230127125335.0 000858702 0247_ $$2doi$$a10.1021/acs.estlett.8b00366 000858702 0247_ $$2WOS$$aWOS:000442184100004 000858702 0247_ $$2altmetric$$aaltmetric:45781370 000858702 037__ $$aFZJ-2018-07547 000858702 082__ $$a333.7 000858702 1001_ $$00000-0002-5989-0912$$aLu, Xiao$$b0$$eCorresponding author 000858702 245__ $$aSevere Surface Ozone Pollution in China: A Global Perspective 000858702 260__ $$aColumbus, Ohio$$bACS$$c2018 000858702 3367_ $$2DRIVER$$aarticle 000858702 3367_ $$2DataCite$$aOutput Types/Journal article 000858702 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1545210245_10680 000858702 3367_ $$2BibTeX$$aARTICLE 000858702 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000858702 3367_ $$00$$2EndNote$$aJournal Article 000858702 520__ $$aThe nationwide extent of surface ozone pollution in China and its comparison to the global ozone distribution have not been recognized because of the scarcity of Chinese monitoring sites before 2012. Here we address this issue by using the latest 5 year (2013-2017) surface ozone measurements from the Chinese monitoring network, combined with the recent Tropospheric Ozone Assessment Report (TOAR) database for other industrialized regions such as Japan, South Korea, Europe, and the United States (JKEU). We use various human health and vegetation exposure metrics. We find that although the median ozone values are comparable between Chinese and JKEU cities, the magnitude and frequency of high-ozone events are much larger in China. The national warm-season (April September) fourth highest daily maximum 8 h average (4MDA8) ozone level (86.0 ppb) and the number of days with MDA8 values of >70 ppb (NDGT70, 29.7 days) in China are 6.3-30% (range of regional mean differences) and 93-575% higher, respectively, than the JKEU regional averages. Health exposure metrics such as warm-season mean MDA8 and annual SOMO35 (sum of ozone means over 35 ppb) are 6.3-16 and 25-95% higher in China, respectively. We also find an increase in the surface ozone level over China in 2016 and 2017 relative to 2013 and 2014. Our results show that on the regional scale the exposure of humans and vegetation to ozone is greater in China than in other developed regions of the world with comprehensive ozone monitoring. 000858702 536__ $$0G:(DE-HGF)POF3-512$$a512 - Data-Intensive Science and Federated Computing (POF3-512)$$cPOF3-512$$fPOF III$$x0 000858702 536__ $$0G:(DE-Juel-1)ESDE$$aEarth System Data Exploration (ESDE)$$cESDE$$x1 000858702 588__ $$aDataset connected to CrossRef 000858702 7001_ $$0P:(DE-HGF)0$$aHong, Jiayun$$b1 000858702 7001_ $$00000-0003-2383-8431$$aZhang, Lin$$b2 000858702 7001_ $$0P:(DE-HGF)0$$aCooper, Owen R.$$b3 000858702 7001_ $$0P:(DE-Juel1)6952$$aSchultz, Martin$$b4 000858702 7001_ $$0P:(DE-HGF)0$$aXu, Xiaobin$$b5 000858702 7001_ $$0P:(DE-HGF)0$$aWang, Tao$$b6 000858702 7001_ $$00000-0002-8657-3541$$aGao, Meng$$b7 000858702 7001_ $$0P:(DE-HGF)0$$aZhao, Yuanhong$$b8 000858702 7001_ $$0P:(DE-HGF)0$$aZhang, Yuanhang$$b9 000858702 773__ $$0PERI:(DE-600)2745499-X$$a10.1021/acs.estlett.8b00366$$gVol. 5, no. 8, p. 487 - 494$$n8$$p487 - 494$$tEnvironmental science & technology letters$$v5$$x2328-8930$$y2018 000858702 8564_ $$uhttps://juser.fz-juelich.de/record/858702/files/acs.estlett.8b00366-1.pdf$$yRestricted 000858702 8564_ $$uhttps://juser.fz-juelich.de/record/858702/files/acs.estlett.8b00366-1.pdf?subformat=pdfa$$xpdfa$$yRestricted 000858702 909CO $$ooai:juser.fz-juelich.de:858702$$pVDB 000858702 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)6952$$aForschungszentrum Jülich$$b4$$kFZJ 000858702 9131_ $$0G:(DE-HGF)POF3-512$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data$$vData-Intensive Science and Federated Computing$$x0 000858702 9141_ $$y2018 000858702 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bENVIRON SCI TECH LET : 2017 000858702 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline 000858702 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List 000858702 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded 000858702 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection 000858702 915__ $$0StatID:(DE-HGF)1060$$2StatID$$aDBCoverage$$bCurrent Contents - Agriculture, Biology and Environmental Sciences 000858702 915__ $$0StatID:(DE-HGF)1160$$2StatID$$aDBCoverage$$bCurrent Contents - Engineering, Computing and Technology 000858702 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews 000858702 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5$$bENVIRON SCI TECH LET : 2017 000858702 920__ $$lyes 000858702 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0 000858702 980__ $$ajournal 000858702 980__ $$aVDB 000858702 980__ $$aI:(DE-Juel1)JSC-20090406 000858702 980__ $$aUNRESTRICTED