吴运金, 夏菲洋, 杨敏, 胡洁, 潘成杰, 邓绍坡, 王荐. 两种从场地调查数据中分离土壤环境背景数据方法的比较[J]. 生态与农村环境学报, 2024, 40(5): 718-728. DOI: 10.19741/j.issn.1673-4831.2023.0784
    引用本文: 吴运金, 夏菲洋, 杨敏, 胡洁, 潘成杰, 邓绍坡, 王荐. 两种从场地调查数据中分离土壤环境背景数据方法的比较[J]. 生态与农村环境学报, 2024, 40(5): 718-728. DOI: 10.19741/j.issn.1673-4831.2023.0784
    WU Yun-jin, XIA Fei-yang, YANG Min, HU Jie, PAN Cheng-jie, DENG Shao-po, WANG Jian. Comparison of Two Methods for Extracting Site-specific Soil Environmental Background Data from Soil Pollution Investigation Data[J]. Journal of Ecology and Rural Environment, 2024, 40(5): 718-728. DOI: 10.19741/j.issn.1673-4831.2023.0784
    Citation: WU Yun-jin, XIA Fei-yang, YANG Min, HU Jie, PAN Cheng-jie, DENG Shao-po, WANG Jian. Comparison of Two Methods for Extracting Site-specific Soil Environmental Background Data from Soil Pollution Investigation Data[J]. Journal of Ecology and Rural Environment, 2024, 40(5): 718-728. DOI: 10.19741/j.issn.1673-4831.2023.0784

    两种从场地调查数据中分离土壤环境背景数据方法的比较

    Comparison of Two Methods for Extracting Site-specific Soil Environmental Background Data from Soil Pollution Investigation Data

    • 摘要: 地块土壤环境背景值在我国土壤环境管理中具有重要作用, 土壤环境背景含量数据可采用间接方法从土壤污染状况调查数据中分离获得。采用稳健正态概率Q-Q图法和标准阈值法两种间接方法, 从研究案例数据和模拟数据中分离土壤环境背景数据, 并对两种方法的有效性和适用性进行比较分析。案例地块土壤钴(Co)含量数据呈现双峰分布, 来源于两个不同总体。模拟数据M1M2来源于背景数据(B)和非背景数据(N1N2), M1BN1组成, 两者之间重叠较多, M2BN2组成, 两者之间重叠较少。研究结果显示, 对于案例地块数据, 利用稳健正态Q-Q图法和标准阈值法分离出的土壤环境背景数据之间差异较小, 且与采用背景参考区法获得的土壤环境背景数据具有相似的统计特征。对于模拟数据, 采用标准阈值法和稳健Q-Q图法都可以有效地从模拟数据M1M2中分离出背景数据, 两种方法分离出的背景数据之间及其与B之间均没有显著差异, 且模拟数据的不同重叠程度对分离背景数据的影响较小。但是由于采用标准阈值法分离出的背景数据与B更相近, 且方法简单易操作, 更适用于土壤环境背景数据的分离。该研究可为地块土壤环境背景数据的获取提供方法上的借鉴。

       

      Abstract: Site-specific soil environmental background values play a significant role in soil environmental management in China. Soil environmental background values can be extracted indirectly from site soil pollution investigation data. In the study, two indirect methods, the robust normal probability Q-Q plot method and the standard threshold method, were applied to both the research case data and simulated data, and the effectiveness and applicability of the two methods were compared and analyzed. The soil cobalt (Co) content data from the research case study site exhibited a bimodal distribution pattern, originated from two distinct populations. The simulated data, M1 and M2, are composed of background data (B) and non-background data (N1 or N2). M1 is composed of B and N1, with more overlap between them, while M2 is composed of B and N2, with less overlap between them. The results indicate that, for the research case data, the difference between the soil environmental background data separated using the robust normal Q-Q plot method and the standard threshold method are minimal, and they exhibit similar statistical characteristics to those obtained using the background reference area method. For the simulated data, both the standard threshold method and the robust normal Q-Q plot method effectively separated the soil environmental background data from simulated data M1 and M2, which closely resemble the statistical characteristics of B and the influence of different degrees of overlap in the simulated data on separating background data is minor. However, the background data separated by the standard threshold method which is simple and easy to operate are closer to B, so the standard threshold method is more suitable for the separation of soil environmental background data. This study provides methodological insights for the obtaining of site-specific soil environmental background data.

       

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