Proper land use for heavy metal-polluted soil based on enzyme activity analysis around a Pb-Zn mine in Feng County, China

doi:10.1007/s11356-017-0308-4

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	Proper land use for heavy metal-polluted soil based on enzyme activity analysis around a Pb-Zn mine in Feng County, China
	Tian, Haixia 1; Fang, Linchuan 1; Liu, Yuqing 2; Chen, Hansong 3; Wang, Yunqiang 4; Huang, Min 2; Huang, M (reprint author), Wuhan Univ Technol, Coll Resources & Environm Engn, Wuhan 430070, Hubei, Peoples R China.
刊名	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
	2017
卷号	24 期号:36 页码:28152-28164
关键词	Enzyme Activities Heavy Metal Land Use Tei Regulation
ISSN号	0944-1344
DOI	10.1007/s11356-017-0308-4
文献子类	Article
英文摘要	Enzymes in the soil are useful for assessing heavy metal soil pollution. We analyzed the activity of a number of enzymes, including urease, protease, catalase, and alkaline phosphatase, in three types of land (farmland, woodland, and grassland) to evaluate soil pollution by heavy metals (Pb, Zn, and Cd). Our results showed that the tested soil was polluted by a combination of Pb, Zn, and Cd, but the primary pollutant was Cd. An ecological dose analysis demonstrated that urease was the most sensitive enzyme to Pb and Cd in the farmland, and catalase and phosphatase were the most sensitive enzymes to Pb, Zn, and Cd in the woodland and grassland. The ecological risk of Cd (E (Cd) ) was the smallest in all three types of land, suggesting that Cd was the major metal inhibiting enzyme activity. Electrical conductivity (EC) was shown to be a negative regulator, while nitrogen, phosphorus, and clay contents were positive regulators of soil enzyme activity. The total enzyme index (TEI) inhibition rates in the woodland were 22.2 and 38.6% under moderate and heavy pollution, respectively, which were lower than those of the other two types of land. Therefore, woodlands might be the optimum land use choice in relieving heavy metal pollution. Taken together, this study identified the key metal pollutant inhibiting soil enzyme activity and suitable land use patterns around typical metal mine. These results provide possible improvement strategies to the phytomanagement of metal-contaminated land around world.
学科主题	Environmental Sciences & Ecology
URL标识	查看原文
出版地	HEIDELBERG
语种	英语
出版者	SPRINGER HEIDELBERG
WOS记录号	WOS:000417874400050
资助机构	National Natural Science Foundation of China [41571314]; CAS "Light of West China" Program [XAB2016A03] ; National Natural Science Foundation of China [41571314]; CAS "Light of West China" Program [XAB2016A03] ; National Natural Science Foundation of China [41571314]; CAS "Light of West China" Program [XAB2016A03] ; National Natural Science Foundation of China [41571314]; CAS "Light of West China" Program [XAB2016A03]
内容类型	期刊论文
源URL	[http://ir.iswc.ac.cn/handle/361005/7877]
专题	水保所科研产出--SCI_2017--SCI
通讯作者	Huang, M (reprint author), Wuhan Univ Technol, Coll Resources & Environm Engn, Wuhan 430070, Hubei, Peoples R China.
作者单位	1.Northwest A&F Univ, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Peoples R China 2.Wuhan Univ Technol, Coll Resources & Environm Engn, Wuhan 430070, Hubei, Peoples R China 3.Zhejiang Normal Univ, Xingzhi Coll, Jinhua 321004, Zhejiang, Peoples R China 4.Chinese Acad Sci, Inst Earth Environm, State Key Lab Loess & Quaternary Geol, Xian 710061, Shaanxi, Peoples R China
推荐引用方式 GB/T 7714	Tian, Haixia,Fang, Linchuan,Liu, Yuqing,et al. Proper land use for heavy metal-polluted soil based on enzyme activity analysis around a Pb-Zn mine in Feng County, China[J]. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,2017,24(36):28152-28164.
APA	Tian, Haixia.,Fang, Linchuan.,Liu, Yuqing.,Chen, Hansong.,Wang, Yunqiang.,...&Huang, M .(2017).Proper land use for heavy metal-polluted soil based on enzyme activity analysis around a Pb-Zn mine in Feng County, China.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,24(36),28152-28164.
MLA	Tian, Haixia,et al."Proper land use for heavy metal-polluted soil based on enzyme activity analysis around a Pb-Zn mine in Feng County, China".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 24.36(2017):28152-28164.