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    西辽河流域土壤锗分布特征、影响因素及其生态环境影响

    Distribution characteristics, influencing factors and eco-environmental impact of soil germanium in Western Liaohe River Basin

    • 摘要:
      研究目的 锗元素(Ge)具有重要的生物和工业应用前景。
      研究方法 基于辽河流域多目标区域地球化学调查成果,利用全局莫兰指数、半方差分析、人为环境富集系数等研究西辽河流域表层和深层土壤锗空间分布特征,采用随机森林模型计算地质和环境因素对土壤锗的解释度以及重要程度排序。
      研究结果 西辽河流域表层和深层土壤锗含量平均值分别为1.10 mg/kg和1.08 mg/kg,上游表层和深层土壤锗含量平均值分别为1.46 mg/kg和1.41 mg/kg,下游表层和深层土壤锗含量平均值分别为1.07 mg/kg和1.05 mg/kg,总体呈现表层和深层差异不大,但上游显著大于下游的特征。全局莫兰指数显示表层和深层土壤锗空间分布具有明显的空间自相关性。半方差结果显示,上、下游表层和深层土壤具有中等和强烈空间自相关性。表层和深层土壤锗含量高值区分布基本一致,土地质量地球化学等级划分得出表层土壤锗含量缺乏面积占比达88.4%,主要分布在下游区域,中等、较丰富和丰富区合计占9.8%,集中分布在上游区域。人为环境富集系数结果显示,上游区域主要受自然因素和轻微人类活动影响;下游受人类活动影响较显著。随机森林模型分析显示,土壤理化性质、成土母岩、海拔、土壤类型以及土地利用类型等影响因素对研究区表层和深层土壤锗的解释度分别为68.5%和56.1%;重要性排序显示,成土母岩重要程度居首位,Ti、TFe2O3、Zn、Cr和Mn等元素位于前列,海拔和土壤类型较为重要,土地利用类型和土壤pH重要程度较低。
      结论 不同土壤理化指标、成土母岩、海拔、土壤类型以及土地利用类型等,均对整个研究区及其上、下游表层和深层土壤锗含量差异具有显著影响。研究区上游土壤锗相比下游更加丰富,更适宜发展富锗农产品,发展富锗农业。

       

      Abstract:
      This paper is the result of ecological geological survey engineering.
      Objective Germanium element (Ge) has important biological and industrial application prospects.
      Methods Based on the multi−target regional geochemical survey results in the Liaohe River Basin, the global Moran index, semi−variance analysis, and anthropogenic environmental enrichment coefficient were used to study the spatial distribution characteristics of surface and deep soil Ge in the Western Liaohe River Basin. Random forest was used to calculate the explanation degree and importance ranking of geological and environmental factors on soil Ge.
      Results The average Ge content of surface and deep soil in the Western Liaohe River Basin is 1.10 mg/kg and 1.08 mg/kg respectively, and the average Ge content of surface and deep soil in the upstream is 1.46 mg/kg and 1.41 mg/kg respectively, the average Ge content of the downstream surface layer and deep soil is 1.07 mg/kg and 1.05 mg/kg respectively. Overall, there is little difference between the surface layer and the deep layer, but the upstream layer is significantly larger than the downstream layer. The global Moran index shows that the spatial distribution of surface and deep soil Ge has obvious spatial autocorrelation. Semi−variance results show moderate and strong spatial autocorrelation in the upper and lower surface and deep soils. The distribution of areas with high Ge content in surface and deep soils is basically the same. In the land quality geochemical grade classification of surface soil Ge content, deficiency accounts for 88.4% and is mainly distributed in the downstream area. The areas of medium, relatively rich and rich account for 9.8% in total. Germanium is relatively concentrated in the upstream area. The results of the man−made environment enrichment coefficient show that the upstream area is mainly affected by natural factors and slight human activities; the downstream area is more significantly affected by human activities. The results of the random forest model showed that influencing factors such as soil physical and chemical property indicators, soil parent rock, altitude, soil type, and land use type explained 68.5% and 56.1% of Ge in surface and deep soil in the study area respectively; the ranking of importance shows, the soil−forming parent rock ranks first in importance, elements such as Ti, TFe2O3, Zn, Cr and Mn are at the forefront, altitude and soil type are more important, while land use type and soil pH are less important.
      Conclusions Different soil physical and chemical property indicators, soil−forming parent rock, altitude, soil type, and land use type in the study area all cause significant differences in the Ge content of surface and deep soils, as well as upper and lower surface and deep soils. The soil Ge in the upper reaches of the study area is richer than that in the lower reaches, which is more suitable for the development of Ge−rich agricultural products and Ge−rich agriculture.

       

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