苦水玫瑰产地土壤重金属污染评价与溯源解析

探明特色农产品产地土壤重金属污染特征及其污染来源可促进特色农作物产业的健康有序发展,对于助力乡村振兴和发展乡村特色产业具有重要意义。该研究以苦水玫瑰产地土壤为研究对象,应用内梅罗综合污染指数法、污染负荷指数法和改进物元可拓模型来量化土壤重金属As、Cd、Cr、Cu、Hg、Ni、Pb和Zn的污染水平并进行对比分析,还利用正定因子矩阵模型(positive matrix factorization, PMF)进行土壤重金属溯源解析。结果表明:1)研究区土壤除Hg和Cr的均值低于兰州市和甘肃省土壤背景值之外,其余As、Cd、Cu、Ni、Pb和Zn的均值都高于二者的背景值,但所有元素的测定值均低于《土壤环境质量农用地土壤污染风险管控标准(试行)(GB 15 618-2018)》(pH值大于7.5)的筛选值。2)内梅罗综合污染指数和污染负荷指数分别处于0.71～2.02和0.64～1.48之间,均值为1.41和1.17,土壤总体上为轻度污染。改进物元可拓模型评价结果显示研究区土壤总体上处于尚清洁状态,与内梅罗综合污染指数与污染负荷指数评价结果基本一致,但改进物元可拓模型的评价结果更具有实际指导意...

Contamination evaluation and source apportionment of heavy metals from Kushui Rose growing soils

Typical agricultural products depend mainly on the accurate identification of the contamination characteristics and their sources of heavy metals in soil. It is of great significance to effectively promote the sustainable development of special crops in the rural revitalization and characteristic industry. This investigation was focused on the rose-growing soils in Kushui Town, Yongdeng County, Lanzhou City, Gansu Province, China. A comparative analysis was performed on the combination of the Nemerow pollution index, pollution load index, and the improved matter-element extension model. The pollution levels were quantified for the eight soil heavy metals (As, Cd, Cr, Cu, Hg, Ni, Pb, and Zn). A positive matrix factorization model was also applied to apportion the sources of soil heavy metal pollution. The results showed that: 1) The mean concentrations of As, Cd, Cu, Ni, Pb, and Zn in the study area exceeded their corresponding soil background values of Lanzhou City and Gansu Province, except for Hg and Cr. Specifically, the average levels of Zn, Cr, Ni, Cu, Pb, As, Cd, and Hg in soils exceeded their soil background values of Lanzhou City by 1.43, 1.04, 1.23, 1.34, 1.19, 1.36, 1.41, and 0.73 fold, respectively, while surpassed their background levels of Gansu Province by 1.16, 0.94, 1.06, 1.22, 1.37, 1.13, 2.08, and 1.02 fold, respectively. However, the concentrations of all the elements were lower than the standard values of the Soil environmental quality Risk control standard for soil contamination of agricultural land (Trial) (GB 15618-2018) (pH value > 7.5). 2) The matter-element extension model showed that there were 59 (60.82%) samples with a still clean state, 35 (36.08%) samples with mild pollution, and 3 (3.1%) samples with moderate pollution. Overall, the soils were in a still clean state in the study region. Moreover, the Nemerow integrated pollution index (NPI) values in soils ranged from 0.71 to 2.02 with a mean value of 1.41, indicating slight pollution. Specifically, approximately 4.12% of the sampled sites were warning limit, 94.85% of sites reached slight pollution, and only 1.03% of the sampled sites were moderate pollution. In addition, the pollution load index (PLI) values were between 0.64 and 1.48 with a mean value of 1.17 for the heavy metals in soils, indicating slight pollution. In detail, 11.34% and 88.66% of PLI values were less than 1 and within the scope of 1-2, respectively, indicating a clean and slight pollution. The evaluation with the improved matter-element extension model was basically consistent with that of the NPI and PLI. Nevertheless, the improved matter-element extension model was more practical and instructive. 3) The sources of soil heavy metals were complicated in the study area. Hg was primarily affected by both Industrial-coal-fired activities and traffic emissions; Cd was impacted by agricultural sources; Zn was mainly affected by a mixture of agricultural activities and traffic emissions; and As, Cr, Cu, Ni, and Pb were mainly influenced by the atmospheric deposition originated from industrial activities. The findings can provide a scientific theoretical basis for the risk control of heavy metal contamination in soils, particularly in the high-quality and sustainable development of the Kushui rose industry.