Sewage disposal onto agricultural land may result in the high accumulation of organic wastes, which questions the applicability of typical elemental analysis used for the soil components. To monitor the contamination status of agricultural soils at a former sedimentation basin, after the long-term cessation of wastewater irrigation, 110 locations (15–20 cm depth) and 4 boreholes (up to 100 cm depth) were sampled to determine pH, loss on ignition, and concentration of Ni, Cu, Pb, Zn, and Cr. Additionally, the applicability of portable X-ray fluorescence (pXRF) for the soil samples highly influenced by the organic wastes was evaluated. The study revealed the presence of a relatively homogenous sewage waste layer (depth of 20 cm), characterized by slightly acidic to neutral pH (6.3–7.5), high organic matter (OM) accumulation (up to 49%), and elevated concentration (mg kg ⁻¹) ranges between: Pb (5–321), Cu (31–2828), Ni (10–193), Cr (14–966), and Zn (76–6639). The pXRF analysis revealed metal concentration increase in mineral samples (up to 50%). The regression models and correction factors demonstrated high correlation and significance of pXRF measurement with response to increasing OM content, with the lowest r ² = 0.86 obtained for Ni. Correlation of pXRF and AES measurement illustrated element-dependent response for soils high in organics. Zn, Cu, and Cr pXRF analysis led to a slight underestimation in lower values, but overall good correlations (0.87; 0.89; and 0.88 respectively). Pb and Ni pXRF measurement revealed higher deviation from the reference in both lower and higher concentrations (0.74 and 0.70, respectively).

中文翻译：

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pXRF 评估受城市垃圾处理高度影响的土壤中所选重金属的可行性——前污水处理场的监测研究

将污水处理到农田可能会导致有机废物的大量积累，这对用于土壤成分的典型元素分析的适用性提出了质疑。为了监测前沉淀池农业土壤的污染状况，在长期停止废水灌溉后，对 110 个位置（15-20 厘米深）和 4 个钻孔（深达 100 厘米）进行采样，以确定 pH 值、损失点火时，Ni、Cu、Pb、Zn 和 Cr 的浓度。此外，还评估了便携式 X 射线荧光 (pXRF) 对受有机废物高度影响的土壤样品的适用性。该研究揭示了存在相对均匀的污水废物层（深度为 20 厘米），其特征是微酸性至中性 pH 值（6.3-7.5），高有机物（OM）积累（高达 49%），^-1 ) 介于：Pb (5–321)、Cu (31–2828)、Ni (10–193)、Cr (14–966) 和 Zn (76–6639) 之间。pXRF 分析显示矿物样品中的金属浓度增加（高达 50%）。回归模型和校正因子证明了 pXRF 测量与 OM 含量增加的高度相关性和显着性，Ni 获得的 r ²  = 0.86 最低。pXRF 和 AES 测量的相关性说明了高有机物土壤的元素依赖性响应。Zn、Cu 和 Cr pXRF 分析导致对较低值的轻微低估，但总体相关性良好（分别为 0.87；0.89；和 0.88）。Pb 和 Ni pXRF 测量显示在较低和较高浓度（分别为 0.74 和 0.70）下与参考的偏差较大。