哈尔滨城市森林土壤重金属空间分布及污染评价

Spatial Distribution and Pollution Assessment of Heavy Metals in Urban Forest Soils of Harbin City

  • 摘要:
    目的 探讨哈尔滨城市森林土壤重金属含量及空间分布特征,找到研究区土壤重金属的核心污染因子与关键影响路径,对重金属污染进行生态风险评价。
    方法 本研究在哈尔滨四环内用网格法随机选取112块样地的土壤样品,测定汞(Hg)、铜(Cu)、锌(Zn)、铅(Pb)的含量。结合ArcGIS绘制土壤重金属的空间分布图,运用多尺度地理加权回归模型(MGWR)对比分析各因子与四种重金属的相关性。采用地积累指数法和潜在生态危害指数法对研究区土壤重金属污染进行评价。
    结果 研究区中四种重金属分别为哈尔滨土壤背景值的2.29、1.43、1.81、1.18倍;土壤理化性质中阳离子交换量、部分全氮与土壤重金属呈负相关,其余呈正相关。样地环境特征因子中树种多样性为正相关,树木密度为负相关,城市化强度因子均为正相关。重金属Hg的地积累指数平均值为0.61,已达到轻度污染,潜在生态危害系数从大到小为Hg > Cu > Zn > Pb,总量潜在生态危害指数平均值为106.74,属于轻度生态危害范围。
    结论 该区内四种重金属的平均浓度均高于哈尔滨土壤的背景值,有机质、树木密度、不透水面比例是影响土壤重金属的关键路径。从地积累指数来看,重金属Hg、Zn的污染等级为1级;从潜在生态风险来分析,研究区重金属污染达到轻度生态危害范围。

     

    Abstract:
    Objective The aim was to explore the content and spatial distribution characteristics of heavy metals in urban forest soil in Harbin, identifying the core pollution factors and key influencing pathways of heavy metals in the study area, and conducting ecological risk assessment of heavy metal pollution.
    Methods In this study, soil samples from 112 randomly selected plots within the fourth ring road of Harbin were collected using a grid method, and the contents of Hg, Cu, Zn, and Pb were determined. The spatial distribution maps of soil heavy metals were drawn using ArcGIS. The multiscale geographically weighted regression (MGWR) was used to compare and analyze the correlations between various factors and the four heavy metals. The geo-accumulation index method and potential ecological risk index method were adopted to evaluate the heavy metal pollution in the study area.
    Results The contents of the four heavy metals in the study area were 2.29, 1.43, 1.81, and 1.18 times the background values of Harbin soil, respectively. Among the soil physical and chemical properties, cation exchange capacity and total nitrogen were negatively correlated with soil heavy metals, while the others were positively correlated. Among the environmental characteristics of the plots, tree species diversity was positively correlated, tree density was negatively correlated, and urbanization intensity factors were all positively correlated. The average geo-accumulation index of Hg was 0.61, reaching a level of slight pollution. The potential ecological risk coefficients from largest to smallest were Hg > Cu > Zn > Pb, and the average total potential ecological risk index was 106.74, falling within the range of slight ecological risk.
    Conclusion The average concentrations of the four heavy metals in this area were all higher than the soil background values in Harbin. Organic matter, tree density, and impervious surface ratio were the key influencing pathways of soil heavy metals. From the perspective of the accumulation index in the soil, the pollution levels of heavy metals Hg and Zn were classified as Grade 1. Analyzing from the potential ecological risk, the heavy metal pollution in the study area had reached the range of mild ecological hazard.

     

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