Identifying the origins and spatial distributions of heavy metals in soils of Ju country (Eastern China) using multivariate and geostatistical approach

Lv, Jianshu; Yang, Liu; Zhang, Zulu; Dai, Jierui; Dai, Bin; Zhu, Yuchi

doi:10.1007/s11368-014-0937-x

Cited by 150 publications

(64 citation statements)

References 48 publications

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“…3b), as follows: cluster 1 (As-Hg-Pb); cluster 2 (Zn-Ni-Mn); cluster 3 (Cd-Cu-Cr-Fe). Lv et al (2014), identifying the origins and spatial distributions of heavy metals in soils of Eastern China, also observed results of CA in agreement with PCA. The use of combined tools (e.g., Pearson correlation, PCA, and CA) provided a greater insight about associations among heavy metals in soils of Ipojuca watershed.…”

Section: Background Concentrations Of Heavy Metals In Watershed Soilssupporting

confidence: 72%

Watershed-scale assessment of background concentrations and guidance values for heavy metals in soils from a semiarid and coastal zone of Brazil

Silva

Nascimento

Cantalice

et al. 2015

Environ Monit Assess

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Determining heavy metal background concentrations in soils is fundamental in order to support the monitoring of potentially contaminated areas. This is particularly important to areas submitted to high environmental impact where an intensive and local monitoring is required. To this end, the aim of this study was to establish background concentrations and quality reference values (QRVs) for the heavy metals Cd, Cr, Cu, Fe, Mn, Ni, Pb, Zn, As, and Hg in an environmentally impacted watershed from Brazil. Geochemical associations among Fe, Mn, and trace elements were also assessed to provide an alternative tool for establishing background concentrations. A total of one hundred and four samples comprised twenty-six composite soil samples from areas of native forest or minimal anthropic influence. Samples were digested (USEPA method 3051A), and the metals were determined by ICP-OES, except for As and Hg measured by atomic absorption spectrophotometer. Background concentrations of heavy metals in soils had the following decreasing order: Fe > Mn > Zn > Cr > Pb > Ni > Cu > As > Cd > Hg. These values were usually lower than those observed in the international and national literature. The QRVs for Ipojuca watershed followed the order (mg kg(-1)) Fe (13,020.40) > Mn (91.80) > Zn (30.12) > Cr (15.00) > Pb (13.12) > Cu (3.53) > Ni (3.30) > As (0.51) > Cd (0.08) > Hg (0.04). Significant correlation among Fe, Mn, and heavy metals shows that solubilization by the method 3051A provides a reasonable estimate for predicting background concentrations for Cd, Cr, and Cu as well as Zn, Cr, Cu, and Ni.

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Section: Background Concentrations Of Heavy Metals In Watershed Soilssupporting

confidence: 72%

Watershed-scale assessment of background concentrations and guidance values for heavy metals in soils from a semiarid and coastal zone of Brazil

Silva

Nascimento

Cantalice

et al. 2015

Environ Monit Assess

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show abstract

“…Within the range, soil properties are not spatial independent, while beyond the range, soil properties were spatial independent [36]. In this study, the smallest range was found for soil N stock (6100 m), and increase to 25700 m for soil K stock and 30570 m for soil P stock.…”

Section: Figure 2 Experimental Semivariograms Of Soil N (A) P (B) Acontrasting

confidence: 51%

“…The sill (C+C0) represents the total variation and the ratio of nugget and sill is considered as a criterion to classify the spatial dependence [17]. The range (A0) represents the separation distance when semivariogram stabilized, beyond which the measured data are spatially independent [36]. More details about semivariograms and the kriging approach can be found in Goovaerts [34].…”

Section: Okmentioning

confidence: 99%

Spatial Distribution of Soil Nitrogen, Phosphorus and Potassium Stocks in Moso bamboo Forests in Subtropical China

Tang

Xia

Guan

et al. 2016

Preprint

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Moso bamboo is famous for fast growth and biomass accumulation, as well as high annual output for timber and bamboo shoots. These high outputs require high nutrient inputs to maintain and improve stand productivity. Soil nitrogen (N), phosphorus (P) and potassium (K) are important macronutrients for plant growth and productivity. Due to high variability of soils, analysing spatial patterns of soil N, P and K stocks is necessary for scientific nutrient management of Moso bamboo forests. In this study, soils were sampled from 138 locations across Yong'an City and ordinary kriging was applied for spatial interpolation of soil N, P and K stocks within 0-60 cm. The nugget-to-sill ratio suggested a strong spatial dependence for soil N stock and a moderate spatial dependence for soil P and K stocks, indicating that soil N stock was mainly controlled by intrinsic factors while soil P and K stocks were controlled by both intrinsic and extrinsic factors. Different spatial patterns were observed for soil N, P and K stocks across the study area, indicating that fertilizations with different ratios of N:P:K should be applied for different sites to maintain and improve stand productivity. The total soil N, P and K stocks within 0-60 cm were 0.624, 0.020 and 0.583 Tg, respectively, indicating soils were important pools for N, P and K.

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“…Within the range, soil properties are not spatially independent, while beyond the range, soil properties were spatially independent [39]. In this study, the smallest range was found for soil N stock (6100 m), and increased to 25,700 m for soil K stock and 30,570 m for soil P stock.…”

Section: Geostatistical Analysis Of Soil N P and K Stockscontrasting

confidence: 50%

“…The sill (C + C 0 ) represents the total variation and the ratio of nugget and sill is considered as a criterion to classify the spatial dependence [17]. The range (A 0 ) represents the separation distance when semivariogram is stabilized, beyond which the measured data are spatially independent [39]. More details about semivariograms and the kriging approach can be found in Goovaerts [37].…”

Section: Okmentioning

confidence: 99%

Spatial Distribution of Soil Nitrogen, Phosphorus and Potassium Stocks in Moso Bamboo Forests in Subtropical China

Tang

Xia

Guan

et al. 2016

Forests

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Moso bamboo is famous for fast growth and biomass accumulation, as well as high annual output for timber and bamboo shoots. These high outputs require high nutrient inputs to maintain and improve stand productivity. Soil nitrogen (N), phosphorus (P), and potassium (K) are important macronutrients for plant growth and productivity. Due to high variability of soils, analysing spatial patterns of soil N, P, and K stocks is necessary for scientific nutrient management of Moso bamboo forests. In this study, soils were sampled from 138 locations across Yong'an City and ordinary kriging was applied for spatial interpolation of soil N, P, and K stocks within 0-60 cm. The nugget-to-sill ratio suggested a strong spatial dependence for soil N stock and a moderate spatial dependence for soil P and K stocks, indicating that soil N stock was mainly controlled by intrinsic factors while soil P and K stocks were controlled by both intrinsic and extrinsic factors. Different spatial patterns were observed for soil N, P, and K stocks across the study area, indicating that fertilizations with different ratios of N:P:K should be applied for different sites to maintain and improve stand productivity. The total soil N, P, and K stocks within 0-60 cm were 0.624, 0.020, and 0.583 Tg, respectively, indicating soils were important pools for N, P, and K.

show abstract

Identifying the origins and spatial distributions of heavy metals in soils of Ju country (Eastern China) using multivariate and geostatistical approach

Cited by 150 publications

References 48 publications

Watershed-scale assessment of background concentrations and guidance values for heavy metals in soils from a semiarid and coastal zone of Brazil

Watershed-scale assessment of background concentrations and guidance values for heavy metals in soils from a semiarid and coastal zone of Brazil

Spatial Distribution of Soil Nitrogen, Phosphorus and Potassium Stocks in Moso bamboo Forests in Subtropical China

Spatial Distribution of Soil Nitrogen, Phosphorus and Potassium Stocks in Moso Bamboo Forests in Subtropical China

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