Spatiotemporal Trends of Elemental Carbon and Char/Soot Ratios in Five Sediment Cores from Eastern China Marginal Seas: Indicators of Anthropogenic Activities and Transport Patterns

doi:10.1021/acs.est.8b00033

CORC > 自然资源部第一海洋研究所 > 自然资源部第一海洋研究所 > 业务部门 > 海洋地质与地球物理研究室

	Spatiotemporal Trends of Elemental Carbon and Char/Soot Ratios in Five Sediment Cores from Eastern China Marginal Seas: Indicators of Anthropogenic Activities and Transport Patterns
	Fang, Yin 1,3,7; Chen, Yingjun 1,2; Lin, Tian 4; Hu, Limin 5,6; Tian, Chongguo 3; Luo, Yongming 3; Yang, Xin 2,8; Li, Jun 7; Zhang, Gan 7
刊名	ENVIRONMENTAL SCIENCE & TECHNOLOGY
	2018-09-04
卷号	52 期号:17 页码:9704-9712
ISSN号	0013-936X
DOI	10.1021/acs.est.8b00033
英文摘要	Elemental carbon (EC), the highly recalcitrant carbonaceous material released exclusively from fossil fuel combustion and biomass burning, is a preferred geochemical agent for evaluating anthropogenic activities. We investigated the spatiotemporal trends of EC and char/soot ratios (char and soot, the two subtypes of EC, differ in formation mechanisms and physicochemical characteristics) in five sediment cores from eastern China marginal seas, spatially spanning from inshore coastal mud areas to offshore remote mud areas. The temporal profiles of EC depositional fluxes closely tracked socioeconomic development in China over the past similar to 150 years, with the most pronounced increasing trend beginning in the early 1980s, commensurate with the implementation of national policy of Reform and Open in 1978. The temporal EC profiles in China differed significantly from those in European/American countries, reflecting their different socioeconomic development stages. The spatiotemporal trends of char/soot ratios were also highly informative. Temporally, they decreased from bottom to subsurface layers, indicating the switch of China from an agricultural economy to an industrial economy during the 20th century. Spatially, they decreased from inshore to offshore areas, suggesting the differential transport patterns of EC among these sampling regimes.
电子版国际标准刊号	15205851
资助项目	Basic Scientific Fund for National Public Research Institutes of China[2017S01]
WOS研究方向	Engineering ; Environmental Sciences & Ecology
语种	英语
出版者	AMER CHEMICAL SOC
WOS记录号	WOS:000444061100017
内容类型	期刊论文
源URL	[http://ir.fio.com.cn/handle/2SI8HI0U/2814]
专题	业务部门_海洋地质与地球物理研究室
作者单位	1.Tongji Univ, Key Lab Cities Mitigat & Adaptat Climate Change S, Coll Environm Sci & Engn, Shanghai 200092, Peoples R China; 2.Shanghai Inst Pollut Control & Ecol Secur, Shanghai 200092, Peoples R China; 3.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China; 4.Chinese Acad Sci, Guiyang Inst Geochem, State Key Lab Environm Geochem, Guiyang 550081, Guizhou, Peoples R China; 5.State Ocean Adm, Inst Oceanog 1, Key Lab Marine Sedimentol & Environm Geol, Qingdao 266061, Peoples R China; 6.Qingdao Natl Lab Marine Sci & Technol, Lab Marine Geol, Qingdao 266061, Peoples R China; 7.Chinese Acad Sci, Guangzhou Inst Geochem, State Key Lab Organ Geochem, Guangzhou 510640, Guangdong, Peoples R China; 8.Fudan Univ, Shanghai Key Lab Atmospher Particle Pollut & Prev, Dept Environm Sci & Engn, Shanghai 200433, Peoples R China
推荐引用方式 GB/T 7714	Fang, Yin,Chen, Yingjun,Lin, Tian,et al. Spatiotemporal Trends of Elemental Carbon and Char/Soot Ratios in Five Sediment Cores from Eastern China Marginal Seas: Indicators of Anthropogenic Activities and Transport Patterns[J]. ENVIRONMENTAL SCIENCE & TECHNOLOGY,2018,52(17):9704-9712.
APA	Fang, Yin.,Chen, Yingjun.,Lin, Tian.,Hu, Limin.,Tian, Chongguo.,...&Zhang, Gan.(2018).Spatiotemporal Trends of Elemental Carbon and Char/Soot Ratios in Five Sediment Cores from Eastern China Marginal Seas: Indicators of Anthropogenic Activities and Transport Patterns.ENVIRONMENTAL SCIENCE & TECHNOLOGY,52(17),9704-9712.
MLA	Fang, Yin,et al."Spatiotemporal Trends of Elemental Carbon and Char/Soot Ratios in Five Sediment Cores from Eastern China Marginal Seas: Indicators of Anthropogenic Activities and Transport Patterns".ENVIRONMENTAL SCIENCE & TECHNOLOGY 52.17(2018):9704-9712.