Sources and Risk Characteristics of Heavy Metals in Plateau Soils Predicted by Geo-Detectors

Wen, Qiqian; Yang, Linsheng; Yu, Jiangping; Wei, Binggan; Yin, Shuhui

doi:10.3390/rs15061588

Cited by 8 publications

(2 citation statements)

References 48 publications

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“…Among the natural factors, geomorphic type, annual mean temperature, and annual mean precipitation play crucial roles in soil HMs. Studies indicate that topography and geomorphology are primary factors affecting HM differentiation in soil [63,64]. Furthermore, precipitation and temperature influence HM migration by affecting soil moisture and are linked to the wet deposition of HMs in the atmosphere, thus, impacting the distribution of HMs in soil [63,65,66].…”

Section: Factors Affecting the Spatial Distribution Of Heavy Metals I...mentioning

confidence: 99%

Analysis of Influencing Factors of Heavy Metals and Non-Point Source Pollution in Typical Areas of Tethys Himalayan Tectonic Domain

An,

Zha,

Wang

et al. 2024

Water

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Due to their potential toxicity and non-degradability, heavy metals pose water and soil quality and safety challenges, impacting crop growth and the ecological environment. The contamination of heavy metals (HMs) and non-point source pollution from agriculture and pastoral presents significant ecological and environmental challenges, necessitating prioritized prevention and mitigation. In this study, 44 water samples and 55 soil samples from Gangba County, a typical agricultural and pastoral area in the Tethys Himalaya tectonic domain, served as research objects. We employed various methods, including the inverse distance weighting, ecological risk assessment model, redundancy analysis, and geographical detector modeling, to investigate the spatial distribution and pollution attributes of arsenic (As), chromium (Cr), cadmium (Cd), lead (Pb), nickel (Ni), nitrogen (N), phosphorus (P), and potassium (K). Our analysis considered the impact of soil physicochemical properties on heavy metals (HMs), elucidating factors influencing their spatial distribution. Results indicated that 65.46% of soil As in the study area exceeded the screening value, while the concentrations of the eight selected elements in water remained below the standard limit. Simultaneously, the study area exhibited low overall ecological risk and minimal HM pollution. Furthermore, As and Pb were primarily linked to human activities and the environment, while Cd, Cr, and Ni were predominantly associated with natural processes. Additionally, factors, such as per capita net income, mean annual temperature, mean annual precipitation, geomorphic type, organic matter, geology type, and soil texture (sand, silt, and clay) constituted primary controlling factors influencing the spatial distribution of HMs in soil. Therefore, for effective prevention and control of HMs and non-point source pollution in agriculture and pastoral, arsenic should be the primary monitoring target, with careful consideration given to the application rates of fertilizers containing N, P, and K to facilitate sustainable development of the ecological environment.

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Section: Factors Affecting the Spatial Distribution Of Heavy Metals I...mentioning

confidence: 99%

Analysis of Influencing Factors of Heavy Metals and Non-Point Source Pollution in Typical Areas of Tethys Himalayan Tectonic Domain

An,

Zha,

Wang

et al. 2024

Water

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“…Geodetector is a spatial analysis method proposed by Wang et al [38] in 2010 to quantitatively explore the relationship between an endemic disease or a potential health risk and its driving factors [39][40][41][42].…”

Section: Introductionmentioning

confidence: 99%

Analyzing Driving Factors of Soil Alkalinization Based on Geodetector—A Case in Northeast China

et al. 2023

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The Songnen Plain of Northeast China is one of the three largest soda saline–alkaline regions in the world. To better understand soil alkalinization in this important agricultural region of China, it is vital to explore the driving factors of soil alkalinity. Combined with prior research on the Wuyu’er–Shuangyang River Basin, this study examined the driving factors of soil alkalinity using the Geodetector method. First, the analysis results of the risk detector, the factor detector, and the ecological detector revealed the primary driving factors of soil alkalinity in the study area. Next, the analysis results of the interaction detector determined how combinations of driving factors impacted soil alkalinity in the study area. In general, the natural driving factors of altitude and spring temperature, especially altitude, played a key role in soil alkalinization. These results indicated that the closed terrain and warming trends were the main causes of soil alkalinization in the study area. In addition, there were significant enhance-nonlinear and enhance-bivariate relationships among the driving factors, which indicated that combined driving factors contributed more to soil alkalinization than individual driving factors.

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Investigating the influence of land cover on land surface temperature

Shui,

Shan,

et al. 2024

Advances in Space Research

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Sources and Risk Characteristics of Heavy Metals in Plateau Soils Predicted by Geo-Detectors

Cited by 8 publications

References 48 publications

Analysis of Influencing Factors of Heavy Metals and Non-Point Source Pollution in Typical Areas of Tethys Himalayan Tectonic Domain

Analysis of Influencing Factors of Heavy Metals and Non-Point Source Pollution in Typical Areas of Tethys Himalayan Tectonic Domain

Analyzing Driving Factors of Soil Alkalinization Based on Geodetector—A Case in Northeast China

Investigating the influence of land cover on land surface temperature

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