Heavy metal contamination of urban soil in an old industrial city (Shenyang) in Northeast China

Li, Xiaoyu; Liu, Lijuan; Wang, Yugang; Luo, Geping; Chen, Xi; Yang, Xiaoliang; Hall, Megan P.; Guo, R.T.; Wang, Houjun; Cui, Jiehua; He, Xingyuan

doi:10.1016/j.geoderma.2012.08.011

Cited by 305 publications

(130 citation statements)

References 29 publications

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“…A random soil sampling technique was employed for the collection of soil samples to make sure that all sites in the study area were represented in the soil sampling [31]. A total of 60 sites were sampled at three depths (0-15 cm, 15-30 cm, and 60-90 cm) and a total of 180 (60 × 3) soil samples were collected with a tube auger (Figure 1).…”

Section: Soil Sampling and Lab Analysismentioning

confidence: 99%

Spatial Distribution and Mobility Assessment of Carcinogenic Heavy Metals in Soil Profiles Using Geostatistics and Random Forest, Boruta Algorithm

Shaheen

Iqbal

2018

Sustainability

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Abstract:In third world countries, industries mainly cause environmental contamination due to lack of environmental policies or oversight during their implementation. The Sheikhupura industrial zone, which includes industries such as tanneries, leather, chemical, textiles, and colour and dyes, contributes massive amounts of untreated effluents that are released directly into drains and used for the irrigation of crops and vegetables. This practice causes not only soil contamination with an excessive amount of heavy metals, but is also considered a source of toxicity in the food chain, i.e., bioaccumulation in plants and ultimately in human body organs. The objective of this research study was to assess the spatial distribution of the heavy metals chromium (Cr), cadmium (Cd), and lead (Pb), at three depths of soil using geostatistics and the selection of significant contributing variables to soil contamination using the Random Forest (RF) function of the Boruta Algorithm. A total of 60 sampling locations were selected in the study area to collect soil samples (180 samples) at three depths (0-15 cm, 15-30 cm, and 60-90 cm). The soil samples were analysed for their physico-chemical properties, i.e., soil saturation, electrical conductivity (EC), organic matter (OM), pH, phosphorus (P), potassium (K), and Cr, Cd, and Pb using standard laboratory procedures. The data were analysed with comprehensive statistics and geostatistical techniques. The correlation coefficient matrix between the heavy metals and the physico-chemical properties revealed that electrical conductivity (EC) had a significant (p ≤ 0.05) negative correlation with Cr, Cd, and Pb. The RF function of the Boruta Algorithm employed soil depth as a classifier and ranked the significant soil contamination parameters (Cr, Cd, Pb, EC, and P) in relation to depth. The mobility factor indicated the leachate percentage of heavy metals at different vertical depths of soil. The spatial distribution pattern of Cr, Cd, and Pb revealed spatial variability regarding subsoil horizons. Significant contamination was discovered near the Deg drain and the Bed Nallah irrigated area that indicated a high Cr topsoil contamination, and in a homogenous pattern in Cd and Pb (p < 0.05). Consequently, different soil management strategies can be adopted in an industrial irrigated area to reduce the contamination load of heavy metals in soil.

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Section: Soil Sampling and Lab Analysismentioning

confidence: 99%

Spatial Distribution and Mobility Assessment of Carcinogenic Heavy Metals in Soil Profiles Using Geostatistics and Random Forest, Boruta Algorithm

Shaheen

Iqbal

2018

Sustainability

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“…Ginoux et al (2010) estimated that anthropogenic dust accounts for 25% of all dust aerosols using 10 observational data from MODIS (Moderate Resolution Imaging Spectroradiometer) Deep Blue satellite products combined with a land-use fraction dataset. Anthropogenic dust primarily originates from urban and regional sources, especially during the winter; this dust is commonly enriched in heavy metals and other toxic elements (Kamani et al, 2015;Li et al, 2013;Wang et al, 2015;. Northeastern China 15 and its surrounding regions are generally regarded as industrial areas that are most strongly affected by human activities.…”

Section: Introductionmentioning

confidence: 99%

Optical and microphysical properties of natural mineral dust and anthropogenic soil dust near dust source regions over Northwestern China

Wen¹,

Wang²

2017

Preprint

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Abstract.From 3 April to 16 May 2014, a ground-based mobile laboratory was deployed to measure the optical and microphysical properties of tropospheric aerosols near dust source regions in Wuwei, Zhangye, and Dunhuang along the Hexi Corridor over Northwestern China. This study is novel in that we not only captured natural mineral 5 dust near the Taklimakan and Badain Jaran desert regions but also characterized the properties of anthropogenic soil dust produced by agricultural cultivations (e.g., land planning, ploughing, and disking), especially during floating dust episodes. In this dust campaign, the aerosol scattering (absorption) coefficient ( "# and $# ), single scattering albedo ( ), scattering Ångström exponent (Å sp ), mass scattering efficiency 10 (MSE), and aerosol size distribution were observed at 5-min intervals. The results indicate that large differences were found between the optical and microphysical properties of anthropogenic and natural dust because of floating dust episodes and dust storms. The values of "# , $# and of PM 2.5 measured at 550 nm range from ~37-

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“…Heavy metals in soils may result from the weathering of parent materials, and from the accumulation of metals released from human activities [9]. The predominant anthropogenic sources of heavy metals in soils include metalliferous mining and smelting, waste incineration, agrochemicals, organic amendments, electronics, and warfare and military training [13,9,7]. Chromium (Cr), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), cadmium (Cd) and lead (Pb) are a few of the most common heavy metals in soils [41,38,14,33,12].…”

Section: Introductionmentioning

confidence: 99%

“…Chromium (Cr), nickel (Ni), copper (Cu), zinc (Zn), arsenic (As), cadmium (Cd) and lead (Pb) are a few of the most common heavy metals in soils [41,38,14,33,12]. Soils can act as a significant sink for heavy metal pollutants in the terrestrial environment [13]. Excessive heavy metal accumulation in soils can degrade soil quality and affect ecosystem functions [23,29].…”

Section: Introductionmentioning

confidence: 99%

Influence of thermal treatment on fixation rate and leaching behavior of heavy metals in soils from a typical e-waste processing site

Wang

Quan

et al. 2016

Journal of Environmental Chemical Engineering

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Heavy metal contamination of urban soil in an old industrial city (Shenyang) in Northeast China

Cited by 305 publications

References 29 publications

Spatial Distribution and Mobility Assessment of Carcinogenic Heavy Metals in Soil Profiles Using Geostatistics and Random Forest, Boruta Algorithm

Spatial Distribution and Mobility Assessment of Carcinogenic Heavy Metals in Soil Profiles Using Geostatistics and Random Forest, Boruta Algorithm

Optical and microphysical properties of natural mineral dust and anthropogenic soil dust near dust source regions over Northwestern China

Influence of thermal treatment on fixation rate and leaching behavior of heavy metals in soils from a typical e-waste processing site

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