Contamination, Distribution and Health Risk
Assessment of Risk Elements in Topsoil for
Amusement Parks in Xi’an, China

Guo, Bin; Su, Yachun; Lin, Pei; Wei, Xindong; Zhang, Bo; Zhang, Dingming; Wang, Xiaoxia

doi:10.15244/pjoes/123606

Cited by 18 publications

(6 citation statements)

References 51 publications

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“…A hydrological analysis is a major method of geostatistical analysis (Huo et al, 2019b;Luo et al, 2019;Guo et al, 2020e). Based on the hydrological analysis function of GIS, the slopes, aspects, streamlines, and watershed identification in the DEM of the Dongzhi Plateau were analyzed and divided into different catchment areas (Figure 3).…”

Section: Results Of Hydrological Analysismentioning

confidence: 99%

Hydrological Analysis of Loess Plateau Highland Control Schemes in Dongzhi Plateau

et al. 2020

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Gully Consolidation and Highland Protection (GCHP) Project is a major soil and water conservation and land remediation project implemented in the Chinese Loess Plateau (CLP). As the connection between the mechanisms of erosion and practical applications for addressing it is not clear, the implementation of engineering measures to combat the problem has been insufficient to date. This study used field investigation and descriptive statistics, together with hydrological analysis modeling to gain an understanding of the impact of the Loess Plateau Highland Control Schemes on the evolution of the Dongzhi Plateau as the largest, most well-preserved, and the thickest loess deposit region in China. A remote sensing image was introduced to hydrological modeling to prove the analysis results of the Dongzhi Plateau. According to these investigations and analysis, four major schemes of gully head retrogressive erosion control were summarized and a comprehensive theory and technology based on a watershed were proposed. After hydrological analysis, the Dongzhi Plateau was divided into 1225 watersheds. It was found that GCHP should be implemented in the catchment area based on hydrological analysis to solve the problem of retrogressive erosion, and it is recommended that a scientific and rational drainage system should be designed based on the roads and pipe networks in the whole watershed area. Findings from this paper provide insights into the evolution of CLP and it can give a good suggestion on the future implementation of GHCP.

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Section: Results Of Hydrological Analysismentioning

confidence: 99%

Hydrological Analysis of Loess Plateau Highland Control Schemes in Dongzhi Plateau

et al. 2020

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“…The mean content for the soil samples near and off the mining areas was 72.27 mg kg −1 , and 56.63 mg kg −1 , respectively. On the other hand, the Zn content may be affected by the distribution of roads in the mining areas because the coal was transported via trucks to the outside and the previous studies proved that one of the major sources for Zn is the worn tires 66 . So, the skewed distributions of Zn were observed in the current study area (Fig.…”

Section: Discussionmentioning

confidence: 99%

“…Then each soil sample with 4 g weight was put into a 32 mm mold and squeezed a tablet with a boric acid edge under 30-ton pressure for X-ray fluorescence (SPECTRO xSORT, SPECTRO Analytical Instruments GmbH, Boschstr. 10, 47533 Kleve, Germany) analysis 65 , 66 . The mean content of every sample was determined by repeating three-time measurements for decreasing errors.…”

Section: Methodsmentioning

confidence: 99%

Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites

Guo

Zhang

et al. 2021

Sci Rep

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Heavy metals contaminations in mining areas aroused wide concerns globally. Efficient evaluation of its pollution status is a basis for further soil reclamation. Visible and near–infrared reflectance (Vis–NIR) spectroscopy has been diffusely used for retrieving heavy metals concentrations. However, the reliability and feasibility of calibrated models were still doubtful. The present study estimated zinc (Zn) concentrations via the random forest (RF) and partial least squares regression (PLSR) using ground in-situ Zn concentrations as well as soil spectral reflectance at an Opencast Coal Mine of Ordos, China in February 2020. The coefficient of determination (R2), root mean square error (RMSE), mean absolute error (MAE), and the ratio of performance to deviation (RPD) were selected to assess the robustness of the methods in estimating Zn contents. Moreover, the characteristic bands were chosen by Pearson correlation analysis and Boruta Algorithm. Finally, the comparison between RF and PLSR combined with eight spectral reflectance transformation methods was conducted for four concentration groups to determine the optimal model. The results indicated that: (1) Zn contents represented a skewed distribution (coefficient of variation (CV) = 33%); (2) the spectral reflectance tended to decrease with the increase of Zn contents during 580–1850 nm based on Savitzky–Golay smoothing (SG); (3) the continuous wavelet transform (CWT) demonstrated higher effectiveness than other spectral reflectance transformation methods in enhancing spectral responses, the R2 between Zn contents and the soil spectral reflectance achieved the highest (R2 = 0.71) by using CWT; (4) the RF combined with CWT exhibited the best performance than other methods in the current study (R2 = 0.97, RPD = 3.39, RMSE = 1.05 mg kg−1, MAE = 0.79 mg kg−1). The current study supplied a scientific scheme and theoretical support for predicting heavy metals concentrations via the Vis–NIR spectral method in possible contaminated areas such as coal mines and metallic mineral deposit areas.

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“…The soil hazard elements are difficult to decompose. They can pass through food chains and water supply systems to plants and humans, posing a direct or indirect threat to food security and public health [ 133 ]. Humans and animals can ingest heavy metals in the environment in various ways, such as drinking water, food, dermal contact, and inhalation [ 125 ].…”

Section: Evaluation Of Heavy Metal Pollutionmentioning

confidence: 99%

Research Progress on Heavy Metals Pollution in the Soil of Smelting Sites in China

Adnan

Xiao

et al. 2022

Toxics

103

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Contamination by heavy metals is a significant issue worldwide. In recent decades, soil heavy metals pollutants in China had adverse impacts on soil quality and threatened food security and human health. Anthropogenic inputs mainly generate heavy metal contamination in China. In this review, the approaches were used in these investigations, focusing on geochemical strategies and metal isotope methods, particularly useful for determining the pathway of mining and smelting derived pollution in the soil. Our findings indicate that heavy metal distribution substantially impacts topsoils around mining and smelting sites, which release massive amounts of heavy metals into the environment. Furthermore, heavy metal contamination and related hazards posed by Pb, Cd, As, and Hg are more severe to plants, soil organisms, and humans. It’s worth observing that kids are particularly vulnerable to Pb toxicity. And this review also provides novel approaches to control and reduce the impacts of heavy metal pollution. Hydrometallurgy offers a potential method for extracting metals and removing potentially harmful heavy metals from waste to reduce pollution. However, environmentally friendly remediation of contaminated sites is a significant challenge. This paper also evaluates current technological advancements in the remediation of polluted soil, such as stabilization/solidification, natural attenuation, electrokinetic remediation, soil washing, and phytoremediation. The ability of biological approaches, especially phytoremediation, is cost-effective and favorable to the environment.

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Contamination, Distribution and Health Risk Assessment of Risk Elements in Topsoil for Amusement Parks in Xi’an, China

Cited by 18 publications

References 51 publications

Hydrological Analysis of Loess Plateau Highland Control Schemes in Dongzhi Plateau

Hydrological Analysis of Loess Plateau Highland Control Schemes in Dongzhi Plateau

Retrieving zinc concentrations in topsoil with reflectance spectroscopy at Opencast Coal Mine sites

Research Progress on Heavy Metals Pollution in the Soil of Smelting Sites in China

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