Identification of sources of heavy metals in agricultural soils using multivariate analysis and GIS

Shan, Yushu; Tysklind, Mats; Hao, Fang; Ouyang, Wei; Chen, Siyang; Lin, Chunye

doi:10.1007/s11368-012-0637-3

Cited by 142 publications

(74 citation statements)

References 27 publications

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“…Fertilizers in agricultural areas are a major external source for cadmium (Nouri et al 2008;Shan et al 2013). Other metals in factor 2 that show positive relation with cadmium may also be much influenced by agrochemicals.…”

Section: Sources Of Heavy Metalsmentioning

confidence: 99%

Human exposure risk to heavy metals through groundwater used for drinking in an intensively irrigated river delta

et al. 2016

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Drinking water containing heavy metals above the maximum permissible limits cause potential risk to human health. The aim of this study was to determine the groundwater suitability for drinking use based on heavy metal concentration and the associated human exposure risk in an intensively irrigated part of the Cauvery river basin, Tamil Nadu, India. Sixteen heavy metals analysed were in the order of dominance of chromiumChromium and zinc were within permissible limits of the Bureau of Indian Standards for drinking water quality, and silver, lead and nickel were above limits in all the groundwater samples. In less than 50 % of the groundwater samples, aluminium, boron, cadmium, copper, iron and manganese exceeded their individual permissible limits. Heavy metal pollution index based on 11 heavy metals indicated that groundwater quality of this area is poor-to-unsuitable. Non-carcinogenic risk for humans due to ingestion of groundwater through drinking water pathway was very high for infants, children and adults. Silver, lead, nickel, cadmium and manganese largely contributed to the health hazard. Sources of heavy metals were identified to be geological and from human activities, i.e., application of fertilizers in agricultural fields, seawater intrusion due to intensive pumping for agriculture and wastewater from industries. Groundwater and surface water in this area pose large threat due to high levels of heavy metals, and it is necessary to avoid this water for drinking due to potential risk of health hazard. This study also demonstrated the application of HPI and human exposure hazard index to study the groundwater quality based on heavy metals' concentration.

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Section: Sources Of Heavy Metalsmentioning

confidence: 99%

Human exposure risk to heavy metals through groundwater used for drinking in an intensively irrigated river delta

et al. 2016

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“…Many studies have used this method for analyzing the possible sources of heavy metals (e.g., Zhou et al 2014). Similarly, it was applied in this research to convert a set of possibly correlated heavy metals into a set of values for linearly uncorrelated variables (principal components or PCs) in order to explore the grouping of metals according to their similarities (Jolliffe 2005;Abdi and Williams 2010;Shan et al 2013). Then, through the grouping results, the possible pollution sources could be determined.…”

Section: Principal Component Analysismentioning

confidence: 99%

The accumulation of heavy metals in agricultural land and the associated potential ecological risks in Shenzhen, China

Song

Liu

et al. 2015

Environ Sci Pollut Res

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Accumulation of heavy metals in agricultural land and their ecological risks are key issues in soil security studies. This study investigated the concentrations of six heavy metals-copper (Cu), zinc (Zn), lead (Pb), nickel (Ni), and chromium (Cr) in Shenzhen's agricultural lands and examined the potential hazards and possible sources of these metals. Eighty-two samples from agricultural topsoil were collected. Potential ecological risk index was used to calculate the potential risk of heavy metals. Principal component analysis (PCA) was applied to explore pollution sources of the metals. Finally, Kriging was used to predict the spatial distribution of the metals' potential ecological risks. The concentrations of the heavy metals were higher than their background values. Most of them presented little potential ecological risk, except for the heavy metal cadmium (Cd). Four districts (Longgang, Longhua, Pingshan, and Dapeng) exhibited some degree of potential risk, which tended to have more industries and road networks. Three major sources of heavy metals included geochemical processes, industrial pollutants, and traffic pollution. The heavy metal Cd was the main contributor to the pollution in agricultural land during the study period. It also poses the potential hazard for the future. High potential risk is closely related to industrial pollution and transportation. Since the 1980s, the sources of heavy metals have evolved from parent rock weathering, erosion, degradation of organics, and mineralization to human disturbances resulting in chemical changes in the soil.

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“…In addition, many scholars have applied geographic information system (GIS) technology for analyzing and visualizing spatial data on heavy metal pollution [30][31][32][33][34]. For example, Carr et al [30] created spatial distribution maps, 3D images, and interpretive hazard maps for heavy metal pollution using GIS techniques.…”

Section: Introductionmentioning

confidence: 99%

Risk Assessment System Based on WebGIS for Heavy Metal Pollution in Farmland Soils in China

Pan

Wang

et al. 2017

Sustainability

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Heavy metal pollution in farmlands is a serious threat to sustainable agricultural development and has become a major agro-ecological problem that has attracted public concern in China. This study proposes a soil-crop collaborative risk assessment model that aims to assess the potential safety risks of heavy metal pollution in farmland soils by considering the concentrations of heavy metals in soils and the accumulation effects of heavy metals in crops. Based on these effects, a decision support system for risk assessment of heavy metal pollution in farmland soil is established, in which technologies such as web-based geographic information system, quick response code, radio frequency identification, and web service are introduced as the bases. The proposed system is composed of a mobile data acquisition terminal (MDAT) and a web-based information system (WIS). The MDAT, which is a portable computerized device running on the Android platform, is used for data acquisition or query, and the WIS is used for risk assessment, data management, and information visualization. The system is employed in some county-level cities in China for risk assessment and supervision of heavy metal pollution in farmlands. The practical application results show that the system provides highly efficient decision support for risk assessment of heavy metal pollution in farmland soils.

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Identification of sources of heavy metals in agricultural soils using multivariate analysis and GIS

Cited by 142 publications

References 27 publications

Human exposure risk to heavy metals through groundwater used for drinking in an intensively irrigated river delta

Human exposure risk to heavy metals through groundwater used for drinking in an intensively irrigated river delta

The accumulation of heavy metals in agricultural land and the associated potential ecological risks in Shenzhen, China

Risk Assessment System Based on WebGIS for Heavy Metal Pollution in Farmland Soils in China

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