Literature DB >> 25034234

Contamination assessment of arsenic and heavy metals in a typical abandoned estuary wetland--a case study of the Yellow River Delta Natural Reserve.

Zhenglei Xie1, Zhigao Sun, Hua Zhang, Jun Zhai.   

Abstract

Coastal and estuarine areas are often polluted by heavy metals that result from industrial production and agricultural activities. In this study, we investigated the concentration trait and vertical pattern of trace elements, such as As, Cd, Ni, Zn, Pb, Cu, and Cr, and the relationship between those trace elements and the soil properties in coastal wetlands using 28 profiles that were surveyed across the Diaokouhe Nature Reserve (DKHNR). The goal of this study is to investigate profile distribution characteristics of heavy metals in different wetland types and their variations with the soil depth to assess heavy metal pollution using pollution indices and to identify the pollution sources using multivariate analysis and sediment quality guidelines. Principal component analysis, cluster analysis, and pollution level indices were applied to evaluate the contamination conditions due to wetland degradation. The findings indicated that the concentration of trace elements decreased with the soil depth, while Cd increases with soil depth. The As concentrations in reed swamps and Suaeda heteroptera surface layers were slightly higher than those in other land use types. All six heavy metals, i.e., Ni, Cu, As, Zn, Cr, and Pb, were strongly associated with PC1 (positive loading) and could reflect the contribution of natural geological sources of metals into the coastal sediments. PC2 is highly associated with Cd and could represent anthropogenic sources of metal pollution. Most of the heavy metals exhibited significant positive correlations with total concentrations; however, no significant correlations were observed between them and the soil salt and soil organic carbon. Soil organic carbon exhibited a positive linear relationship with Cu, Pb, and Zn in the first soil layer (0-20 cm); As, Cr, Cu, Ni, Pb, and Zn in the second layer (20-40 cm); and As, Cr, Cu, Ni, Pb, and Zn in the third layer (40-60 cm). Soil organic carbon exhibited only a negative correlation with Cd (P < 0.05), in the second and third layers. As, Cr, Cu, Ni, Pb, and Zn exhibited lower geoaccumulation index values (I geo values), which averaged less than 0 in the three soil layers, this finding indicates that the soils have remained unpolluted by these heavy metals. The mean concentrations of these trace elements were lower than Class I criteria. The degradation wetland restoration suggestions have also been provided in such a way as to restore the reserved flow path of the Yellow River. The results that are associated with trace element contamination would be helpful in providing scientific directions to restore wetlands across the world.

Entities:  

Mesh:

Substances:

Year:  2014        PMID: 25034234     DOI: 10.1007/s10661-014-3922-3

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  47 in total

1.  Heavy metal contamination in surface sediments of Yangtze River intertidal zone: an assessment from different indexes.

Authors:  Weiguo Zhang; Huan Feng; Jinna Chang; Jianguo Qu; Hongxia Xie; Lizhong Yu
Journal:  Environ Pollut       Date:  2009-02-13       Impact factor: 8.071

2.  Assessment of heavy metal contamination in the sediments of Nansihu Lake Catchment, China.

Authors:  Enfeng Liu; Ji Shen; Liyuan Yang; Enlou Zhang; Xianghua Meng; Jianjun Wang
Journal:  Environ Monit Assess       Date:  2009-01-23       Impact factor: 2.513

3.  Trace element contamination in the estuarine sediments along Tuticorin coast--Gulf of Mannar, southeast coast of India.

Authors:  N S Magesh; N Chandrasekar; S Krishna Kumar; M Glory
Journal:  Mar Pollut Bull       Date:  2013-06-20       Impact factor: 5.553

Review 4.  Heavy metal pollution in coastal areas of South China: a review.

Authors:  Shuai-Long Wang; Xiang-Rong Xu; Yu-Xin Sun; Jin-Ling Liu; Hua-Bin Li
Journal:  Mar Pollut Bull       Date:  2013-09-29       Impact factor: 5.553

5.  Dynamics of the lakes in the middle and lower reaches of the Yangtze River basin, China, since late nineteenth century.

Authors:  Lijuan Cui; Changjun Gao; Xinsheng Zhao; Qiongfang Ma; Manyin Zhang; Wei Li; Hongtao Song; Yifei Wang; Shengnan Li; Yan Zhang
Journal:  Environ Monit Assess       Date:  2012-09-11       Impact factor: 2.513

6.  Health risk assessment of heavy metals in the water environment of Zhalong Wetland, China.

Authors:  Nannan Zhang; Shuying Zang; Qingzhan Sun
Journal:  Ecotoxicology       Date:  2014-01-11       Impact factor: 2.823

7.  Geochemical and geo-statistical assessment of selected heavy metals in the surface sediments of the Gorgan Bay, Iran.

Authors:  Kazem Darvish Bastami; Hossein Bagheri; Sarah Haghparast; Farzaneh Soltani; Ali Hamzehpoor; Mousa Darvish Bastami
Journal:  Mar Pollut Bull       Date:  2012-09-17       Impact factor: 5.553

8.  Assessment of heavy metal contamination in sediments of the Tigris River (Turkey) using pollution indices and multivariate statistical techniques.

Authors:  Memet Varol
Journal:  J Hazard Mater       Date:  2011-08-22       Impact factor: 10.588

9.  Mobility and ecological risk assessment of trace metals in polluted estuarine sediments using a sequential extraction scheme.

Authors:  F A B Canuto; C A B Garcia; J P H Alves; E A Passos
Journal:  Environ Monit Assess       Date:  2012-12-07       Impact factor: 2.513

10.  Water quality assessment and source identification of Daliao River Basin using multivariate statistical methods.

Authors:  Yuan Zhang; Fen Guo; Wei Meng; Xi-Qin Wang
Journal:  Environ Monit Assess       Date:  2008-06-04       Impact factor: 3.307

View more
  4 in total

1.  Spatial monitoring of arsenic and heavy metals in the Almyros area, Central Greece. Statistical approach for assessing the sources of contamination.

Authors:  E E Golia; A Dimirkou; St A Floras
Journal:  Environ Monit Assess       Date:  2015-06-04       Impact factor: 2.513

2.  The potential of elm trees (Ulmus glabra Huds.) for the phytostabilisation of potentially toxic elements in the riparian zone of the Sava River.

Authors:  Zorana Mataruga; Snežana Jarić; Olga Kostić; Milica Marković; Ksenija Jakovljević; Miroslava Mitrović; Pavle Pavlović
Journal:  Environ Sci Pollut Res Int       Date:  2019-12-12       Impact factor: 4.223

3.  Impact of heavy metals on Ciconia boyciana feathers and Larus saundersi egg shells in the Yellow River delta estuary.

Authors:  Yuewei Yang; Jing Li; Fengjiao Zhang; Fengfei Sun; Junfeng Chen; Meizhen Tang
Journal:  RSC Adv       Date:  2020-10-27       Impact factor: 4.036

4.  Assessment ecological risk of heavy metal caused by high-intensity land reclamation in Bohai Bay, China.

Authors:  Gaoru Zhu; Zhenglei Xie; Tuoyu Li; Zongwen Ma; Xuegong Xu
Journal:  PLoS One       Date:  2017-04-19       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.