Identification of soil heavy metal sources from anthropogenic activities and pollution assessment of Fuyang County, China

Zhang, X. Y.; Lin, Feifan; Wong, M. T. F.; Feng, Xiao; Wang, K.

doi:10.1007/s10661-008-0410-7

Cited by 164 publications

(75 citation statements)

References 30 publications

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“…The concentration maps can be effectively employed to identify the pollution sources at the hot spots. Fuel-oil, coal, wood, and olive oil cake burning in residential areas and industrial plants, traffic emissions, mining and mineral processing, tobacco processing, fertilizing, pesticides, municipal and industrial wastewater, and solid wastes are possible sources of the studied elements (Fogg and Rahn 1984;Pacyna and Pacyna 2001;Yoshinaga et al 2001;Howe et al 2004;Wang et al 2006;Cetin et al 2007;Yatkin and Bayram 2008b;Farooqi et al 2009;Giraud et al 2009;Houhou et al 2009;Zhang et al 2009) in the province. Na is generally a sea-salt element that is typical for the Mediterranean region.…”

Section: Spatial Variationmentioning

confidence: 99%

The use of olive tree (Olea europaea L.) leaves as a bioindicator for environmental pollution in the Province of Aydın, Turkey

Turan

Kocahakimoglu

Kavcar

et al. 2010

Environ Sci Pollut Res

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Introduction In this study, olive tree leaves, collected from 50 sampling sites throughout the Province of Aydın, Turkey, were used to estimate level of pollution by measuring Al, As, B, Ba, Ca, Co, Cr, Cu, Fe, K, Li, Mg, Mn, Na, Ni, Pb, Sr, and Zn concentrations and calculating pollution factor (PF) values. Materials and methods After sample preparation, collected leaves were microwave digested, and extracts were analyzed by an inductively coupled plasma-mass spectrometer. Results and discussion The maximum PF values were ≥10 for a number of elements ranging from 11-13 (Al, As, Cr, Fe, Mn, Ni) to >100 for Cu, Li, and Na. Urban-rural and roadside-nonroadside concentration comparisons showed that some of the elements (As, Cu, and Pb) were at significantly higher levels on urban and/or roadside sampling sites. Summary and conclusionCorrelations and factor analysis showed that there may be common sources for some elements, which included several soil types and anthropogenic activities. Based on the results of the statistical source apportionment, possible sources were narrowed down with help of the constructed elemental concentration maps. In conclusion, utilization of olive tree leaves for biomonitoring and assessment of environmental pollution was shown to be possible in the Mediterranean region where they are indigenous and cultivated.

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Section: Spatial Variationmentioning

confidence: 99%

The use of olive tree (Olea europaea L.) leaves as a bioindicator for environmental pollution in the Province of Aydın, Turkey

Turan

Kocahakimoglu

Kavcar

et al. 2010

Environ Sci Pollut Res

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“…It constitutes the most suitable analysis with regard to the obviousness of the correlations between variables (Chen et al, 2008). On the dendrogram, the distance on the axis represents the degree of association between the groupings of variables, i.e., a small distance indicates a great association (Facchinelli et al, 2001;Tariq et al, 2008;Dragovic et al, 2008;Zhang et al, 2009). …”

Section: Hierarchical Ascending Classification (Hac)mentioning

confidence: 99%

“…A strong value means not-homogeneous distribution of the studied parameter, whereas a low value indicates its homogeneity (Tahri et al, 2005;Chen et al, 2008;Zhang et al, 2009).…”

Section: The Variation Coefficient Calculationmentioning

confidence: 99%

“…This study is carried out on two soils developed on marls and limestones, rocks which are naturally rich in TEs and subjected to a spreading by sewage. In order to evaluate the variation of TEs contents, and to predict their origins in these soils, a Multivariate Analysis has been applied to the physicochemical and geochemical data collected on the studied soil profiles (Stanimirova et al, 1999;Facchinelli et al, 2001;Chen et al, 2008;Zhang et al, 2009). …”

Section: Introductionmentioning

confidence: 99%

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Origins of trace elements in cultivated soils irrigated by sewage, Ourzirha Area (Meknes, Morocco)

Dekayir¹,

Zein²,

Mohamed³

2010

ABJNA

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Two profiles were taken on two cultivated soils (a calcareous soil and a vertisol) irrigated by the wastewater in the Ourzirha area (NE of the Meknes city), to explain the variability of the contents of Trace Elements (TE), their principal associations, and to predict their origins in these soils. To the whole of the geochemical data, a multivariate statistical analysis was applied (PCA and HAC). The results showed that the contents raised on the profiles are of lithogenic origin mainly, with a notable contribution of the exogenic contributions on the surface. These exogenic contributions on the surface are very large for the Zn on the vertisol.

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“…13,14 However, the lack of large-scale and long-term monitoring data often makes the apportionment of contributions from different sources a challenging task. To this end, stochastic models can serve as important tools for source identification and apportionment of pollution sources.…”

Section: ■ Introductionmentioning

confidence: 99%

Application of Stochastic Models in Identification and Apportionment of Heavy Metal Pollution Sources in the Surface Soils of a Large-Scale Region

Cheng

2013

Environ. Sci. Technol.

228

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As heavy metals occur naturally in soils at measurable concentrations and their natural background contents have significant spatial variations, identification and apportionment of heavy metal pollution sources across largescale regions is a challenging task. Stochastic models, including the recently developed conditional inference tree (CIT) and the finite mixture distribution model (FMDM), were applied to identify the sources of heavy metals found in the surface soils of the Pearl River Delta, China, and to apportion the contributions from natural background and human activities. Regression trees were successfully developed for the concentrations of Cd, Cu, Zn, Pb, Cr, Ni, As, and Hg in 227 soil samples from a region of over 7.2 × 10 4 km 2 based on seven specific predictors relevant to the source and behavior of heavy metals: land use, soil type, soil organic carbon content, population density, gross domestic product per capita, and the lengths and classes of the roads surrounding the sampling sites. The CIT and FMDM results consistently indicate that Cd, Zn, Cu, Pb, and Cr in the surface soils of the PRD were contributed largely by anthropogenic sources, whereas As, Ni, and Hg in the surface soils mostly originated from the soil parent materials. ■ INTRODUCTIONHeavy metals and their compounds are naturally ubiquitous throughout the environment. Heavy metals in soils come in the first place from weathering of the parent materials but can also result from accumulation of the metals released from industrial and agricultural activities. According to Alloway, 1 the major anthropogenic inputs of heavy metals to soils and the environment are metalliferous mining and smelting, agricultural and horticultural materials, sewage sludges, fossil fuel combustion, metallurgical industries, electronics, chemical and other manufacturing industries, waste disposal, sports shooting and fishing, and warfare and military training. Globally, mine tailings, smelter emissions, waste incineration, and atmospheric deposition are the most important sources of heavy metal pollution, whereas vehicular emissions are widely accepted as the main sources of heavy metals in urban topsoils and dust.2 In China, the major sources of heavy metal pollution are emissions from industrial operations, whereas wastewater irrigation and land fertilization with sludges contribute most to the heavy metal pollution of agricultural soils.

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Identification of soil heavy metal sources from anthropogenic activities and pollution assessment of Fuyang County, China

Cited by 164 publications

References 30 publications

The use of olive tree (Olea europaea L.) leaves as a bioindicator for environmental pollution in the Province of Aydın, Turkey

The use of olive tree (Olea europaea L.) leaves as a bioindicator for environmental pollution in the Province of Aydın, Turkey

Origins of trace elements in cultivated soils irrigated by sewage, Ourzirha Area (Meknes, Morocco)

Application of Stochastic Models in Identification and Apportionment of Heavy Metal Pollution Sources in the Surface Soils of a Large-Scale Region

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