Literature DB >> 27107989

Contamination characteristics and source apportionment of trace metals in soils around Miyun Reservoir.

Haiyang Chen1, Yanguo Teng2, Ruihui Chen2, Jiao Li2, Jinsheng Wang2.   

Abstract

Due to their toxicity and bioaccumulation, trace metals in soils can result in a wide range of toxic effects on animals, plants, microbes, and even humans. Recognizing the contamination characteristics of soil metals and especially apportioning their potential sources are the necessary preconditions for pollution prevention and control. Over the past decades, several receptor models have been developed for source apportionment. Among them, positive matrix factorization (PMF) has gained popularity and was recommended by the US Environmental Protection Agency as a general modeling tool. In this study, an extended chemometrics model, multivariate curve resolution-alternating least squares based on maximum likelihood principal component analysis (MCR-ALS/MLPCA), was proposed for source apportionment of soil metals and applied to identify the potential sources of trace metals in soils around Miyun Reservoir. Similar to PMF, the MCR-ALS/MLPCA model can incorporate measurement error information and non-negativity constraints in its calculation procedures. Model validation with synthetic dataset suggested that the MCR-ALS/MLPCA could extract acceptable recovered source profiles even considering relatively larger error levels. When applying to identify the sources of trace metals in soils around Miyun Reservoir, the MCR-ALS/MLPCA model obtained the highly similar profiles with PMF. On the other hand, the assessment results of contamination status showed that the soils around reservoir were polluted by trace metals in slightly moderate degree but potentially posed acceptable risks to the public. Mining activities, fertilizers and agrochemicals, and atmospheric deposition were identified as the potential anthropogenic sources with contributions of 24.8, 14.6, and 13.3 %, respectively. In order to protect the drinking water source of Beijing, special attention should be paid to the metal inputs to soils from mining and agricultural activities.

Entities:  

Keywords:  Multivariate curve resolution-alternating least squares; Positive matrix factorization; Soil contamination; Source apportionment; Trace metals

Mesh:

Substances:

Year:  2016        PMID: 27107989     DOI: 10.1007/s11356-016-6694-1

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  12 in total

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6.  An inventory of trace element inputs to agricultural soils in China.

Authors:  Lei Luo; Yibing Ma; Shuzhen Zhang; Dongpu Wei; Yong-Guan Zhu
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7.  "Soil Pollution Hazardous to Environment": a case study on the chemical composition and correlation to automobile traffic of the roadside soil of Jeddah city, Saudi Arabia.

Authors:  Mohammad W Kadi
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8.  Application of stochastic models in identification and apportionment of heavy metal pollution sources in the surface soils of a large-scale region.

Authors:  Yuanan Hu; Hefa Cheng
Journal:  Environ Sci Technol       Date:  2013-04-01       Impact factor: 9.028

9.  Watershed-scale assessment of arsenic and metal contamination in the surface soils surrounding Miyun Reservoir, Beijing, China.

Authors:  Wei Luo; Yonglong Lu; Yan Zhang; Wenyou Fu; Bin Wang; Wentao Jiao; Guang Wang; Xiaojuan Tong; John P Giesy
Journal:  J Environ Manage       Date:  2010-08-10       Impact factor: 6.789

10.  Combination of Unmix and positive matrix factorization model identifying contributions to carcinogenicity and mutagenicity for polycyclic aromatic hydrocarbons sources in Liaohe delta reed wetland soils, China.

Authors:  Yin-Hai Lang; Guo-Liang Li; Xiao-Mei Wang; Peng Peng; Jie Bai
Journal:  Chemosphere       Date:  2014-09-16       Impact factor: 7.086

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