Spatial patterns of potentially hazardous metals in paddy soils in a typical electrical waste dismantling area and their pollution characteristics

Zhao, Keli; Fu, Weijun; Qiu, Qiaozhen; Ye, Zhengqian; Li, Yongfu; Tunney, H.; Chun-ying, Dou; Zhou, Kaihua; Xin-biao, Qian

doi:10.1016/j.geoderma.2018.10.004

Cited by 88 publications

(35 citation statements)

References 42 publications

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“…The results show that besides Fe, the most abundant metals in the study area were Zn and Pb. Several studies have reported that Zn is the most abundant heavy metal in urban soil (Yadav et al, 2019;Zhao et al, 2019;Egbueri et al, 2020;Jiang et al, 2020;Jin and Lv, 2020), while in some studies, Pb is found in the highest concentration (Harvey et al, 2017;Škrbić et al, 2018;Adimalla et al, 2020). However, Chen et al (2020) reported Cr as the most abundant toxic metal in soil.…”

Section: Descriptive Statisticsmentioning

confidence: 99%

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Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility

Radomirović

Cirovic

Maksin

et al. 2020

Front. Environ. Sci.

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Soil samples from the site of the former largest paint and varnish factory in ex-Yugoslavia were analyzed for arsenic and eight heavy metals (Pb, Cd, Zn, Cr, Ni, Cu, Fe, and Hg). Several additional soil properties (pH, sulfur, nitrogen, phosphorus, and water content) were also measured. Multivariate analysis showed strong correlations between Pb and Zn; and a moderate correlation between Cu and Ni. There was no correlation between heavy metals and any of the analyzed soil properties parameters. A factor analysis grouped most heavy metals, except Cd, which showed different behavior, and Fe and As, which associated with soil properties. The soil samples were clustered into two distinctive groups. Positive matrix factorization receptor modeling clearly identified Zn and Pb as belonging to the traffic vehicle factor. The second factor dominating arsenic was industrial chemical emissions, while the third factor containing most of the heavy metals was attributed to natural background variation. The last non-metallic factor, dominated by sulfur, was the result of past activities in the paint facility. The average enrichment factor values were for the metals analyzed were: 0.73; 0.71; 2.4; 0.58; 2.3; 0.87; 1.6; and 0.76; for Cr, Cd, Pb, Ni, Zn, Cu, As, and Hg, respectively. Only moderate soil enrichment by Pb and Zn was found. The geoaccumulation index values showed a moderately polluted soil with Pb and Zn, but most contributing to the ecological risk were Cd with 63% and Hg with 19%. These two metals are of major concern in this case study due to their high toxicity, even though they are present at very low concentrations. Generally, a moderate ecological risk was estimated for most soil samples, except for a small number of high-risk samples. Spatial distribution mapped three severely polluted sub-areas. In general, the paint and varnish industry moderately contributes to the contamination of soil. The main ecological risk from metal contamination is not related to the paint technological production process itself, but from other activities at the site that deposit of heavy metals into the soil.

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Section: Descriptive Statisticsmentioning

confidence: 99%

“…By using geostatistical interpolation it is possible to get information, even for an area that is not sampled. Spatial visualization has been used extensively in risk assessment studies of heavy metals in soils (Dragović et al, 2014;Škrbić et al, 2018;Zhao et al, 2019;Cheng et al, 2020;Jiang et al, 2020;Jin and Lv, 2020).…”

Section: Introductionmentioning

confidence: 99%

Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility

Radomirović

Cirovic

Maksin

et al. 2020

Front. Environ. Sci.

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“…An alpha level of 0.05 for significance was used in all statistical analyses. Before performing the ANOVA analysis, the normality and homogeneity of raw data were tested, and data were log-transformed if the homogeneity of the variance was not met [30][31][32][33]. The statistical graphs were produced by Origin 8 and the Excel 2003 software (Microsoft, Redmond, WA, USA).…”

Section: Data Processingmentioning

confidence: 99%

Biomass and Nutrients Variation of Chinese Fir Rooted Cuttings under Conventional and Exponential Fertilization Regimes of Nitrogen

Lin

Guo

et al. 2019

Forests

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Exponential fertilization has been regarded as an important technique for improving seedling quality at the initial plant-growth stage. In our study, containerized one-year-old Chinese fir (Cunninghamia lanceolata (Lamb.) Hook) rooted cuttings were reared at four nitrogen (N) fertilizer levels (0, 0.5, 1.0, 2.0 g cutting−1 season−1) under two topdressing methods (conventional and exponential) for a 210-day greenhouse rotation to evaluate growth and nutrient loading capacity of seedlings. N fertilizer was applied 20 times at an interval of 10 days during the study period. The results indicated that the schedule and rate of fertilization significantly affected the height, ground diameter, and biomass of Chinese fir rooted cuttings. The nitrogen concentration of different plant organs followed the order of leaves > root > stem. Compared to the CK, the N concentrations in root, stem, and leaves increased by 39.6%, 16.6%, and 41.1% in the conventional fertilizer treatment, and by 22.6% to 81.4%, 27.3% to 152.6%, and 73.6% to 135.5% in exponential fertilization treatments, respectively. The N concentrations of root, stem, and leaves of Chinese fir rooted cuttings under EF2 (1.0 N g cutting−1) were significantly higher than that of conventional fertilization (p < 0.05). However, there was no significant difference of phosphorus and potassium concentrations among different plant organs. Steady-state nutrition and superior growth performance were achieved by rooted cuttings fertilized exponentially at the rate of 1.0 g cutting−1 yielding (EF2).

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“…The results of these two methods were very similar suggesting that they were correctly applied for assessing the spatial distribution of potsherds in the study area. The methods of spatial autocorrelation and kriging interpolation were also used in many previous studies, such as [50][51][52][53]. However, it should be noted that these works did not deal with archaeologically based research and they were focused on geographic, environmental or ecological research.…”

Section: Discussionmentioning

confidence: 99%

Spatial Analysis of Pottery Presence at the Former Pobedim Hillfort (an Archeological Site in Slovakia)

et al. 2019

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The aim of this study was a spatial analysis of the pottery occurrence (potsherds) in the acropolis part of the Pobedim hillfort (Slovakia) using two spatial statistical methods (spatial autocorrelation and kriging interpolation) with the help of GIS and their subsequent comparison. To understand the landscape of the study area, seven land use maps were created for different historical years (1783–1785, 1845, 1882, 1956, 1971, 2010 and 2017) confirming that the study area was predominantly utilized as arable land, which was related to advantageous floodplain location between the rivers of Horný Dudváh and Dubová. Using the Moran coefficient of spatial autocorrelation, it was found that there were seven high–high clusters and three high–low clusters representing the occurrence of potsherds. Using the kriging interpolation, three clusters of high concentration were found. Subsequent comparison of both methods revealed three identical areas with high frequency of pottery occurrence indicating places where significant settlement objects were located, such as the dwelling of a wealthy man, pottery workshop and the like. The difference between the areas with high number of potsherds between the two methods is approximately 12%, which indicates an acceptable match between the two methods and their applicability for spatial (geographic)–archaeological research.

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Spatial patterns of potentially hazardous metals in paddy soils in a typical electrical waste dismantling area and their pollution characteristics

Cited by 88 publications

References 42 publications

Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility

Ecological Risk Assessment of Heavy Metals in the Soil at a Former Painting Industry Facility

Biomass and Nutrients Variation of Chinese Fir Rooted Cuttings under Conventional and Exponential Fertilization Regimes of Nitrogen

Spatial Analysis of Pottery Presence at the Former Pobedim Hillfort (an Archeological Site in Slovakia)

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