Literature DB >> 31426134

An unconstrained ordination- and GIS-based approach for identifying anthropogenic sources of heavy metal pollution in marine sediments.

Yang-Guang Gu1, Yan-Peng Gao2.   

Abstract

A new method consisting of enrichment factor (EF) determination, nonmetric multidimensional scaling (NMS), and the geographic information system (GIS) technique was firstly developed to identify anthropogenic heavy metal sources in marine sediments of Hong Kong. Firstly, the EF was determined to differentiate between heavy metals originating from human and natural sources. Subsequently, NMS was applied to identify various source patterns of heavy metals, and the NMS score was calculated and spatially interpolated using GIS technology to evaluate the spatial influences of anthropogenic impacts in different areas. The concentrations of heavy metals in sediments of Hong Kong substantially exceeded their background values, demonstrating anthropogenic pollution. Two different types of human sources could be identified via NMS, one representing the industrial pollution discharges in the period from the 1960s to the 1980s before pollution control was introduced and one representing sewage discharge before the Tolo Harbour Action Plan in the mid-1980s.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Geographic information system (GIS); Heavy metal; Nonmetric multidimensional scaling; Pollution; Sediments

Mesh:

Substances:

Year:  2019        PMID: 31426134     DOI: 10.1016/j.marpolbul.2019.06.008

Source DB:  PubMed          Journal:  Mar Pollut Bull        ISSN: 0025-326X            Impact factor:   5.553


  3 in total

1.  Hydrotransport-Oriented Zn, Cu, and Pb Behavior Assessment and Source Identification in the River Network of a Historically Mined Area in the Hokuroku Basin, Northeast Japan.

Authors:  Qingqing Lu; Zhengfu Bian; Noriyoshi Tsuchiya
Journal:  Int J Environ Res Public Health       Date:  2019-10-15       Impact factor: 3.390

2.  Phytoplankton alpha diversity indices response the trophic state variation in hydrologically connected aquatic habitats in the Harbin Section of the Songhua River.

Authors:  Fanhua Meng; Zhenxiang Li; Lei Li; Feng Lu; Yan Liu; Xinxin Lu; Yawen Fan
Journal:  Sci Rep       Date:  2020-12-07       Impact factor: 4.379

3.  Biomechanics Analysis of the Lower Limbs in 20 Male Sprinters Using the International Society of Biomechanics Six-Degrees-of-Freedom Model and the Conventional Gait Model.

Authors:  Youbo Ji; Rui Xu; Hao Zuo; Zhonghan Wang; Hui Jin
Journal:  Med Sci Monit       Date:  2021-11-26
  3 in total

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