Influence factor analysis of soil heavy metal Cd based on the GeoDetector

Jiang, Yunting; Sun, Yongye; Zhang, Liping; Wang, Xvlu

doi:10.1007/s00477-020-01806-z

Cited by 26 publications

(3 citation statements)

References 15 publications

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“…The results of the correlation analysis between socio-economic development indicators and heavy metal contents in the soils of Xinjiang are shown in Figure 5. The socio-economic development of cities, such as urban resident population and gross national product, reflected the total urban heavy metal emissions to some extent [42]. However, this study showed that the correlation between the contents of six heavy metals in soil and the total population was insignificant, consistent with the results of previous studies [43].…”

Section: Impact Of Socio-economic Development On Soil Pollution Due T...supporting

confidence: 90%

The Spatial Distribution and Influencing Factors of Heavy Metals in Soil in Xinjiang, China

Li,

Xue,

Cai

et al. 2023

Sustainability

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Heavy metal pollution has been a problem of concern in soil ecology in recent decades. This study investigated the spatial distribution of heavy metals and their pollution levels in the soil of Xinjiang, based on the data of heavy metals published in the literature in the past five years, by using a geostatistical method, pollution index method, and geographic information system (GIS)-based spatial analysis. Additionally, the effects of five economic development indicators, such as population and industrial activities on the accumulation of heavy metals in soil, were explored by correlation analysis. The results showed that the average contents of Cd, Cr, Cu, Ni, Pb, and Zn in the soils were 2.858, 1.062, 1.194, 1.159, 1.192, and 1.086 times higher than the background values in Xinjiang, respectively. The semi-variance functions indicated that the Cd and Pb block gold coefficients of soils were greater than 25% and less than 50%, with an obvious spatial correlation. The spatial patterns showed that the high values of Cd, Cr, Cu, Ni, Pb, and Zn were mainly distributed in Karamay, Changji, Tacheng, and Kashi areas, with an overall decreasing trend from north to south, and the pollution index showed that the pollution of heavy metal Cd in soil was the most serious. Furthermore, Karamay, Changji, and Kashi areas were at heavy pollution levels. Correlation analysis showed that heavy metal Pb in the soil was significantly positively correlated with the agricultural GDP in Xinjiang, while Cd was correlated significantly and positively with comprehensive energy consumption and more significantly with industrial GDP. Thus, this study could provide a scientific basis for local evaluation of soil environmental quality and prevention and control of soil heavy metal pollution, which is of great significance for understanding the impact of human activities.

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Section: Impact Of Socio-economic Development On Soil Pollution Due T...supporting

confidence: 90%

The Spatial Distribution and Influencing Factors of Heavy Metals in Soil in Xinjiang, China

Li,

Xue,

Cai

et al. 2023

Sustainability

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“…Yang et al used geographic detectors to reveal the influencing factors and driving mechanism of the formation of rural settlement land pattern [15]. In addition, geographic detectors are widely used in related fields such as studies of the atmosphere [16][17][18], soil pollution [19][20][21], and urban economy [22].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Soil Heavy Metal Hg Pollution Source Based on GeoDetector

Wang¹,

Sun²,

Guo³

et al. 2021

Pol. J. Environ. Stud.

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“…Copper are essential components in automobile repairs and is found useful in components like wiring, radiators, connectors, brakes and bearing. Zinc has no relationship with elevation according to the result test 101 .…”

Section: Resultsmentioning

confidence: 95%

Spatial variability of heavy metals concentrations in soil of auto-mechanic workshop clusters in Nsukka, Nigeria

Duru,

Echiegu,

Anyadike

et al. 2024

Sci Rep

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The indiscriminate disposal of spent engine oils and other hazardous waste at auto mechanic workshops clusters in Nsukka, Enugu State, Nigeria is an environmental concern. This study examines the concentration of heavy metals in the soil inside the workshop cluster and in the unpolluted soil outside the workshop cluster at approximately 100 m. Ten sampling points were randomly selected from within the cluster and another ten from outside the cluster. Using a hand-held Global Positioning System, the coordinates of the selected points were established and used to create a digital map. Soil samples at depths of 0–30 cm and 30–60 cm, were analyzed for Cu, Fe, Zn, Pb, As and Cd using Spectrophotometer. Moisture content determination and particle size analysis were also done on the samples. Spatial variability of heavy metals concentrations of the studied site was also mapped with ArcGIS 10.2.2 using interpolation methods. Results showed that the soil ranged from sandy loam to sandy clay loam. Cadmium and Zinc had the lowest and highest concentration, respectively, in the studied area. Comparing the concentrations of heavy metals in soils within and outside the auto mechanic cluster revealed notable differences across various depths (0–30 cm and 30–60 cm). The analysis results for soil samples within the cluster exhibited concentration levels (mg/kg) ranging from 0.716–0.751 (Cu), 2.981–3.327 (Fe), 23.464–30.113 (Zn), 1.115–1.21 (Pb), 2.6–2.912 (As), and 0.133–0.365 (Cd) demonstrating a variation pattern in the order of Zn > Fe > As > Pb > Cu > Cd. Conversely, for soil samples outside the cluster, concentration levels (mg/kg) ranged from 0.611–0.618 (Cu), 2.233–2.516 (Fe), 12.841–15.736 (Zn), 0.887–0.903 (Pb), 1.669–1.911 (As), and 0.091–0.091 (Cd). To assess the disparity in heavy metal concentration levels between samples collected within and outside the clusters, ANOVA test was performed. The test showed significant difference in heavy metal concentrations between samples within and outside the auto mechanic cluster (p < 0.05), implying auto mechanic activities significantly impact heavy metal levels within the cluster compared to outside areas. The assessment of soil pollution utilized indices including the Geo-accumulation Index (Igeo), Contamination factor (Cf), and anthropogenic metal concentration (QoC). Zinc, Cadmium, and Arsenic showed the highest contamination factors, indicating significant soil contamination likely due to anthropogenic activities. The concentrations of the metals analyzed were within WHO permissible limits while the metals concentrations were also observed to decrease as depth was increased. Using ArcGIS 10.2.2, spatial maps showing heavy metal distribution were developed, with the Kriging method proving superior. This study suggests that heavy metal levels in the soil at the area be monitored on a regular basis.

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Influence factor analysis of soil heavy metal Cd based on the GeoDetector

Cited by 26 publications

References 15 publications

The Spatial Distribution and Influencing Factors of Heavy Metals in Soil in Xinjiang, China

The Spatial Distribution and Influencing Factors of Heavy Metals in Soil in Xinjiang, China

Analysis of Soil Heavy Metal Hg Pollution Source Based on GeoDetector

Spatial variability of heavy metals concentrations in soil of auto-mechanic workshop clusters in Nsukka, Nigeria

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