Literature DB >> 28131479

Space-time quantitative source apportionment of soil heavy metal concentration increments.

Yong Yang1, George Christakos2, Mingwu Guo3, Lu Xiao4, Wei Huang1.   

Abstract

Assessing the space-time trends and detecting the sources of heavy metal accumulation in soils have important consequences in the prevention and treatment of soil heavy metal pollution. In this study, we collected soil samples in the eastern part of the Qingshan district, Wuhan city, Hubei Province, China, during the period 2010-2014. The Cd, Cu, Pb and Zn concentrations in soils exhibited a significant accumulation during 2010-2014. The spatiotemporal Kriging technique, based on a quantitative characterization of soil heavy metal concentration variations in terms of non-separable variogram models, was employed to estimate the spatiotemporal soil heavy metal distribution in the study region. Our findings showed that the Cd, Cu, and Zn concentrations have an obvious incremental tendency from the southwestern to the central part of the study region. However, the Pb concentrations exhibited an obvious tendency from the northern part to the central part of the region. Then, spatial overlay analysis was used to obtain absolute and relative concentration increments of adjacent 1- or 5-year periods during 2010-2014. The spatial distribution of soil heavy metal concentration increments showed that the larger increments occurred in the center of the study region. Lastly, the principal component analysis combined with the multiple linear regression method were employed to quantify the source apportionment of the soil heavy metal concentration increments in the region. Our results led to the conclusion that the sources of soil heavy metal concentration increments should be ascribed to industry, agriculture and traffic. In particular, 82.5% of soil heavy metal concentration increment during 2010-2014 was ascribed to industrial/agricultural activities sources. Using STK and SOA to obtain the spatial distribution of heavy metal concentration increments in soils. Using PCA-MLR to quantify the source apportionment of soil heavy metal concentration increments.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Accumulation; Principal component analysis-multiple linear regression (PCA-MLR); Quantitative source apportionment; Soil heavy metals; Spatiotemporal Kriging (STK)

Mesh:

Substances:

Year:  2017        PMID: 28131479     DOI: 10.1016/j.envpol.2017.01.058

Source DB:  PubMed          Journal:  Environ Pollut        ISSN: 0269-7491            Impact factor:   8.071


  11 in total

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7.  Temporal-spatial trends in potentially toxic trace element pollution in farmland soil in the major grain-producing regions of China.

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9.  Analysis of Heavy Metal Sources in the Soil of Riverbanks Across an Urbanization Gradient.

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10.  Pollution Assessment and Source Apportionment of Soil Heavy Metals in a Coastal Industrial City, Zhejiang, Southeastern China.

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