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Soil heavy metal

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Figshare2024-03-23 更新2026-04-28 收录
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“原始数据”是指通过测量研究区域内六种重金属元素(Cr、Cu、Pb、Ni、Zn和Hg)的浓度而获得的数据。第一列X表示采样点的经度,第二列Y表示采样点的纬度,第三列Z表示采样点的高程,后列为六种重金属元素的浓度数据。利用这些数据,在EXCEL中完成了土壤重金属的描述性统计,包括最大值、最小值、平均值、标准差等。“空间变异性分析数据”用于分析土壤重金属的空间变异性。数据的第一列X表示经度(十进制表示),第二列Y表示纬度(十进制表示)。由于变异性分析要求数据服从正态分布或近似正态分布,因此除 Hg 外,其他元素都满足此要求。数据的最后一列显示了对数转换后汞浓度的正态分布。“单一污染指数”是单一污染物的指数数据。“综合污染指数”是各种污染物的综合指数数据。“源头识别数据(PCA-APCS)”是指使用PCA/APCS模型进行源头识别分析的数据。“源头识别数据(PMF)”是指使用PMF模型进行源头识别分析的数据。“不确定性”是PMF模型所需的不确定性数据。

"Raw data" refers to the data obtained by measuring the concentrations of six heavy metal elements (Cr, Cu, Pb, Ni, Zn and Hg) within the study area. The first column X represents the longitude of the sampling points, the second column Y represents the latitude, the third column Z represents the elevation of the sampling points, and the subsequent columns are the concentration data of the six heavy metal elements. Descriptive statistics of soil heavy metals, including maximum value, minimum value, mean value, standard deviation, etc., were completed in EXCEL using this dataset. "Spatial variability analysis data" is used to analyze the spatial variability of soil heavy metals. The first column X of this data represents longitude (in decimal notation), and the second column Y represents latitude (in decimal notation). Since variability analysis requires the data to follow a normal or approximately normal distribution, all elements except Hg meet this requirement. The last column of the dataset shows the normal distribution of mercury concentration after logarithmic transformation. "Single pollution index" refers to the index data of a single pollutant. "Comprehensive pollution index" refers to the comprehensive index data of various pollutants. "Source identification data (PCA-APCS)" refers to the data used for source identification analysis using the PCA/APCS model. "Source identification data (PMF)" refers to the data used for source identification analysis using the PMF model. "Uncertainty" refers to the uncertainty data required by the PMF model.

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2024-03-23
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