基于最优参数地理探测器模型确定耕地土壤中重金属积累的驱动因素及其交互影响

IF 3.4 2区 地球科学 Q1 GEOCHEMISTRY & GEOPHYSICS
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引用次数: 0

摘要

确定岩溶地区土壤重金属(HMs)积累的因素及其相互作用是预防和控制土壤 HMs 污染的一项重大挑战。研究人员在贵州西北部采集了 1043 个表层土(0-20 厘米)样品,测定了土壤中 HMs(镉、铅、锌、铬、铜、镍)的浓度。然后,利用基于最优参数的地理探测(OPGD)模型,确定了自然变量(如地层、土壤有机质、地形等)和人类活动变量(如距矿区距离(DFM)、距公路距离(DFR)、人口密度(DOP)等)对该地区土壤 HMs 空间累积的驱动因素和相互作用。研究结果表明,所有 HMs 的平均浓度都超过了贵州省土壤的相应背景值。镉的累积量最高,其次是铜、镍和铬。Moran's I 和反距离内插法结果显示,HMs 的空间分布有明显的聚类趋势。镉、铅和锌的高含量聚类集中在研究区的北部和南部,而镍、铬和铜的高含量聚类主要分布在研究区的东部和西部。OPGD 分析结果表明,土壤中镉、铅和锌的积累主要受 SOM、DFM 和地层分布的影响,其次是 pH 和土壤类型。而镍、铬和铜则主要受地层分布的影响。此外,DOP、地形和土壤类型也是影响这三种 HMs 累积的次要因素。值得注意的是,与单个因素相比,这些因素之间的交互作用对 HMs 累积的影响更为显著。总之,本研究对影响 HMs 空间分布的主要因素及其相互作用关系提供了有价值的见解,为研究区防治 HMs 污染提供了理论依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identifying driving factors and their interacting effects on accumulation of heavy metals in cultivated soils based on optimal parameter geographic detector model

Identifying the factors and their interactive effects on soil heavy metals (HMs) accumulation in karst areas is a significant challenge in preventing and controlling soil contamination by HMs. A total of 1043 topsoil (0–20 cm) samples were collected from northwestern Guizhou to determine the concentrations of HMs (Cd, Pb, Zn, Cr, Cu, and Ni). Then, the optimal parameter based geographic detector (OPGD) model was used to identify the driving factors and interactions of natural variables (such as strata, soil organic matter, terrain, etc.) and human activity variables (such as distance from mining sites (DFM), distance from road (DFR), population density (DOP), etc.) on the spatial accumulation of soil HMs in the region. The findings revealed that the average concentrations of all HMs exceeded the corresponding background values of soil in Guizhou Province. Cd had the highest accumulation, followed by Cu, Ni, and Cr. Moran's I and inverse distance interpolation results showed clear clustering trends in the spatial distribution of HMs. The high-high clusters of Cd, Pb, and Zn were concentrated in the northern and southern parts of the study area, while the high-high clusters of Ni, Cr, and Cu were distributed mainly in the eastern and western parts of the study area. OPGD analysis results indicated that soil Cd, Pb, and Zn accumulation was influenced primarily by SOM, DFM, and stratigraphic distribution, followed by pH and soil type. Whereas Ni, Cr, and Cu were mainly affected by stratigraphic distribution. Additionally, DOP, terrain, and soil type were secondary factors affecting the accumulation of these three types of HMs. Notably, the interactive effects among these factors were found to have a more significant impact on HMs accumulation than individual factors alone. Overall, this study provides valuable insights into the main factors influencing the spatial distribution of HMs and their interactive relationships, contributing to the theoretical basis for preventing and controlling HMs pollution in the study area.

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来源期刊
Journal of Geochemical Exploration
Journal of Geochemical Exploration 地学-地球化学与地球物理
CiteScore
7.40
自引率
7.70%
发文量
148
审稿时长
8.1 months
期刊介绍: Journal of Geochemical Exploration is mostly dedicated to publication of original studies in exploration and environmental geochemistry and related topics. Contributions considered of prevalent interest for the journal include researches based on the application of innovative methods to: define the genesis and the evolution of mineral deposits including transfer of elements in large-scale mineralized areas. analyze complex systems at the boundaries between bio-geochemistry, metal transport and mineral accumulation. evaluate effects of historical mining activities on the surface environment. trace pollutant sources and define their fate and transport models in the near-surface and surface environments involving solid, fluid and aerial matrices. assess and quantify natural and technogenic radioactivity in the environment. determine geochemical anomalies and set baseline reference values using compositional data analysis, multivariate statistics and geo-spatial analysis. assess the impacts of anthropogenic contamination on ecosystems and human health at local and regional scale to prioritize and classify risks through deterministic and stochastic approaches. Papers dedicated to the presentation of newly developed methods in analytical geochemistry to be applied in the field or in laboratory are also within the topics of interest for the journal.
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