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Distribution, assessment and coupling relationship of heavy metals and macroinvertebrates in sediments of the Weihe River Basin
Wang, Xinxin1; Su, Ping1; Lin, Qidong1; Song, Jinxi1,2; Sun, Haotian1; Cheng, Dandong2,3; Wang, Shaoqing1; Peng, Jianglin1; Fu, Jiaxu1
2019-10-01
Source PublicationSUSTAINABLE CITIES AND SOCIETY
ISSN2210-6707
Volume50Pages:12
Corresponding AuthorSong, Jinxi(jinxisong@nwu.edu.cn)
AbstractIn order to evaluate the distribution of heavy metals and macroinvertebrates and to clarify the coupling relationship between them, a total of 54 samples of the 0-10 cm layer and 10-20 cm layer sediments were collected from 27 sites in the Weihe River Basin. Geo-accumulation index, Ecological potential risk index, Pollution load index, and Consensus-based sediment quality guidelines were employed to evaluate the ecological risk associated with heavy metals in sediments. Macroinvertebrate community structure was analyzed, following which the quality surrounding habitat was evaluated basing on the indexes. Our results confirmed that the orders of pollution level were 10-20 cm > 0-10 cm at different layers and Cd > Ni > Pb > Cu > Cr > Zn for different metals. Through correlation analysis and redundancy analysis, macroinvertebrate metrics exhibited significant correlations with heavy metals. Gastropods and R (Ratio of Ephemeroptera and Trichoptera index to Chironomidae) were selected as bioindicators in overall qualitative analysis. In the 0-10 cm layer, Gastropods and Family biotic index could be selected as bioindicators. Whereas, in the 10-20 cm layer, suitable bioindicators were Oligochaetes and D-M (Maralef richness index). Heavy metals, especially Cd, in sediments may pose adverse impact on macroinvertebrate community.
KeywordSediments Heavy metal Macroinvertebrates Redundancy analysis Bioindicators
DOI10.1016/j.scs.2019.101665
WOS KeywordECOLOGICAL RISK-ASSESSMENT ; SURFACE SEDIMENTS ; WATER-QUALITY ; BENTHIC MACROINVERTEBRATE ; HYDRAULIC CONDUCTIVITY ; MULTIVARIATE-ANALYSIS ; SPATIAL VARIATION ; SHAANXI PROVINCE ; TRACE-ELEMENTS ; POLLUTION
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[51679200] ; National Natural Science Foundation of China[51379175] ; Hundred Talents Project of the Chinese Academy of Sciences[A315021406] ; Science and Technology Project of Shaanxi Provincial Water Resources Department[2018slkj-12]
Funding OrganizationNational Natural Science Foundation of China ; Hundred Talents Project of the Chinese Academy of Sciences ; Science and Technology Project of Shaanxi Provincial Water Resources Department
WOS Research AreaConstruction & Building Technology ; Science & Technology - Other Topics ; Energy & Fuels
WOS SubjectConstruction & Building Technology ; Green & Sustainable Science & Technology ; Energy & Fuels
WOS IDWOS:000484255800044
PublisherELSEVIER
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/69622
Collection中国科学院地理科学与资源研究所
Corresponding AuthorSong, Jinxi
Affiliation1.Northwest Univ, Coll Urban & Environm Sci, Shaanxi Key Lab Earth Surface Syst & Environm Car, Xian 710127, Shaanxi, Peoples R China
2.Chinese Acad Sci & Minist Water Resources, Inst Soil & Water Conservat, State Key Lab Soil Eros & Dryland Farming Loess P, Yangling 712100, Shaanxi, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
Recommended Citation
GB/T 7714
Wang, Xinxin,Su, Ping,Lin, Qidong,et al. Distribution, assessment and coupling relationship of heavy metals and macroinvertebrates in sediments of the Weihe River Basin[J]. SUSTAINABLE CITIES AND SOCIETY,2019,50:12.
APA Wang, Xinxin.,Su, Ping.,Lin, Qidong.,Song, Jinxi.,Sun, Haotian.,...&Fu, Jiaxu.(2019).Distribution, assessment and coupling relationship of heavy metals and macroinvertebrates in sediments of the Weihe River Basin.SUSTAINABLE CITIES AND SOCIETY,50,12.
MLA Wang, Xinxin,et al."Distribution, assessment and coupling relationship of heavy metals and macroinvertebrates in sediments of the Weihe River Basin".SUSTAINABLE CITIES AND SOCIETY 50(2019):12.
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