Natural and anthropogenic patterns of covariance and spatial variability of minor and trace elements in agricultural topsoil

Spijker, J.; Vriend, S.P.; Gaans, P.F.M. van

doi:10.1016/j.geoderma.2004.11.002

Cited by 20 publications

(13 citation statements)

References 19 publications

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“…The two elements have a remarkable correlation. This study indicates that the correlation coefficient between Cr and Ni is r = 0.895, just in consistency with the related report (Spijker et al, 2005;Xu Jialin and Yang Juye, 1995).…”

Section: Analysis Of the Principal Componentssupporting

confidence: 92%

“…Some studies have shown that the contents of Cr and Ni are relatively low in the soils developed from the pedogenic parental materials which are dominated by sandstone and shale (Chen et al, 1999;Pierce et al, 1982), and the principal factor affecting the contents of Cr and Ni is the soil itself (Spijker et al, 2005;Wang Xiaochun et al, 2000). The two elements have a remarkable correlation.…”

Section: Analysis Of the Principal Componentsmentioning

confidence: 99%

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Research on soil multi-media environmental pollution around a Pb-Zn mining and smelting plant in the karst area of Guangxi Zhuang Autonomous Region, Southwest China

Deng

Wang

2009

Chin. J. Geochem.

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The method of principal component analysis was applied to systematical research on the soil multi-media environment, including soil, surface water, ground water, waterbody sediment and agricultural crops, as well as pollution-inducing wastewater, mullock (or waste ore) and slag in the periphery of a large-sized Pb-Zn mining and smelting plant in a karst area of Guangxi Zhuang Autonomous Region. The results revealed that soils in the area studied have been heavily polluted by Cd, Zn, Pb and Hg, and the levels of these metals in the samples of agricultural crop greatly exceed the standards. The above-mentioned pollutants exist in all soil-multi-media environments. The mullock, slag, wastewater, surface water, ground water, soil, and agricultural crops constitute a composite ecological chain. Therefore, the improper disposal of mullock and slag, and the use of polluted wastewater for agricultural irrigation are the main causes of soil pollution. Heavy metals in the soil have three transition progresses: point (improved soil with slag, ground water inflow plot), linear (river transition) and non-point transition (regional pollution by slag) patterns, and the tailing yard is the most important locus for heavy metals to release into the environment.

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Section: Analysis Of the Principal Componentssupporting

confidence: 92%

Section: Analysis Of the Principal Componentsmentioning

confidence: 99%

Research on soil multi-media environmental pollution around a Pb-Zn mining and smelting plant in the karst area of Guangxi Zhuang Autonomous Region, Southwest China

Deng

Wang

2009

Chin. J. Geochem.

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“…The spatial heterogeneity of regional variables is characterized by the ratio of C o /(C + C 0 ) and provides spatial correlation among regional variables. Overall, a ratio less than 25% shows strong spatial correlation, a ratio ranging between 25% to 75% indicates moderate correlation, and a ratio of more than 75% indicates weak spatial correlation (Spijker et al 2005). In the present research, the geostatistical approach uses a semivariogram to quantify spatial autocorrelation, and to provide conditions for the optimal spatial interpolation.…”

Section: Sample Collections and Preparationsmentioning

confidence: 91%

Source identification and assessment of sediment contamination of trace metals in Kogarah Bay, NSW, Australia

Alyazichi

Jones

McLean

2015

Environ Monit Assess

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The distribution of trace metals (spatial and temporal) and sedimentary fractions were investigated to identify the concentrations and sources of trace metals within Kogarah Bay, NSW, Australia. A total of 59 surface sediments and six subsurface samples from core of the sediment were collected. The contamination factor and pollution load index indices used to evaluate environmental effects of trace metals. The study area was found to be uncontaminated with Cr and Ni, moderately contaminated with As and considerably contaminated with Cu, Zn and Pb. The concentrations of Cr and Ni were below both effect range low and effect range median, while As, Cu, Zn and Pb were slightly above effect range low. The highest concentrations of these trace metals such as Cu, Zn and Pb were found in the north, northwest and southeast of the bay, close to discharge points, stormwater outlets and around boatyards and watercrafts. The spatial distributions of metals were strongly related to muddy particles and organic matter. The temporal sediments of metals declined with increased sediment depth, which reflects accumulation of trace metals since European settlement in this area. Furthermore, the source of the trace metals was found to be stormwater outlets, gasoline fumes, boatyards and other human activities. AbstractThe distribution of trace metals (spatial and temporal) and sedimentary fractions were investigated to identify the concentrations and sources of trace metals within Kogarah Bay, NSW, Australia. A total of 59 surface sediments and six subsurface samples from core of the sediment were collected. The contamination factor and pollution load index indices used to evaluate environmental effects of trace metals. The study area was found to be uncontaminated with Cr and Ni, moderately contaminated with As and considerably contaminated with Cu, Zn and Pb. The concentrations of Cr and Ni were below both Effect Range Low and Effect Range Median, while As, Cu, Zn and Pb were slightly above Effect Range Low. The highest concentrations of these trace metals such as Cu, Zn and Pb were found in the north, north west and south east of the bay, close to discharge points, stormwater outlets and around boatyards and watercrafts. The spatial distributions of metals were strongly related to muddy particles and organic matter. The temporal sediments of metals declined with increased sediment depth, which reflects accumulation of trace metals since European settlement in this area. Furthermore, the source of the trace metals was found to be stormwater outlets, gasoline fumes, boatyards and other human activities.

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“…Therefore, moderate to strong spatial dependence provided us an opportunity to prepare digitals maps for estimating soil pH vertically up to the depth of 100 cm in a soil profile. Spatial dependence of soil pH was found to be maintained by anthropogenic activities like cultivation, addition of chemical fertilizers and organic manure at surface soils while in the lower soil depths intrinsic soil factors governing soil pH like parent materials might be responsible for the maintaining moderate to strong spatial dependence in the soils (Liu et al, 2004;Spiker et al, 2005;Chunfa et al, 2010;Banerjee et al, 2011).…”

Section: Geostatistical Analysis and Mapping Of Ph In The Studied Soimentioning

confidence: 99%

Spatial Distribution of pH in the Soil Profiles of Representative Soil Series from Rice Producing Area, District Sheikhupura

Nabi¹,

Ahmed²,

Ali³

2018

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Natural and anthropogenic patterns of covariance and spatial variability of minor and trace elements in agricultural topsoil

Cited by 20 publications

References 19 publications

Research on soil multi-media environmental pollution around a Pb-Zn mining and smelting plant in the karst area of Guangxi Zhuang Autonomous Region, Southwest China

Research on soil multi-media environmental pollution around a Pb-Zn mining and smelting plant in the karst area of Guangxi Zhuang Autonomous Region, Southwest China

Source identification and assessment of sediment contamination of trace metals in Kogarah Bay, NSW, Australia

Spatial Distribution of pH in the Soil Profiles of Representative Soil Series from Rice Producing Area, District Sheikhupura

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