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北方污灌条件下土壤剖面 0-400cm 范围内大肠杆菌的垂直分布及其影响因素

Vertical distribution and affecting factors of Escherichia coli over a 0-400 cm soil profile irrigated with sewage effluents in northern China.

机构信息

Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, 454003, China.

Institute of Resources & Environment, Henan Polytechnic University, Jiaozuo, 454003, China.

出版信息

Ecotoxicol Environ Saf. 2020 Dec 1;205:111357. doi: 10.1016/j.ecoenv.2020.111357. Epub 2020 Sep 23.

Abstract

Quantification and evaluation of the spatial distribution and the primary factors that affect Escherichia coli (E. coli) distribution in soils is important to assess soil pollution and potential contamination of groundwater. However, little information is available on distribution of E. coli in deep soil layers. To analyze the spatial distribution and factors affecting E. coli over a 0-400 cm soil profile, soil samples were collected from two land use type in the sewage irrigation fields. The primary factors dominating the spatial distribution of E. coli were quantified by the model of principal component analysis with multiple linear regression (PCA-MLR). The results indicated that the number of E. coli under cropland decreased greatly with soil depth. The average number of E. coli over the 0-400 cm profile under forestland was 49 × 10 colony-forming unit/g (cfu/g), which was significantly higher than that under cropland (20 × 10 cfu/g). For forestland and cropland, the average number of E. coli at depths of 300-400 cm decreased by 85% and 88%, respectively, compared to that at depths of 0-100 cm. The presence of E. coli at the depths of 300-400 cm was at high level (forestland: 3 × 10 cfu/g; cropland: 2 × 10 cfu/g) for the potential risks of shallow groundwater. The PCA-MLR model estimated that the factors of soil organism, soil salt and land type use contributed 28%, 29% and 43%, respectively, to the distribution of E. coli. According to the Monte Carlo simulation, the average number of E. coli over the 0-400 cm profile was 46 ± 17 × 10 cfu/g in the sewage irrigated area, and the interval distribution with a probability of 95% varied between 14 × 10 cfu/g and 78 × 10 cfu/g. The findings of this study are useful for understanding negative effects of sewage irrigation on pathogens in deep soil and are critical to assess the potential risks of groundwater pollution.

摘要

量化和评估大肠杆菌(E. coli)在土壤中的空间分布以及影响其分布的主要因素,对于评估土壤污染和地下水潜在污染至关重要。然而,关于深层土壤中大肠杆菌分布的信息却很少。为了分析污水灌溉区土壤剖面 0-400cm 深度范围内大肠杆菌的空间分布及其影响因素,本研究从两种土地利用类型的污水灌溉区采集土壤样品。采用主成分分析与多元线性回归(PCA-MLR)模型量化主导大肠杆菌空间分布的主要因素。结果表明,农田土壤中大肠杆菌数量随土壤深度的增加而显著减少。林地土壤剖面 0-400cm 深度范围内大肠杆菌的平均数量为 49×10 菌落形成单位/g(cfu/g),显著高于农田(20×10 cfu/g)。对于林地和农田,与 0-100cm 深度相比,300-400cm 深度的大肠杆菌平均数量分别减少了 85%和 88%。300-400cm 深度的大肠杆菌存在较高水平(林地:3×10 cfu/g;农田:2×10 cfu/g),可能对浅层地下水造成潜在风险。PCA-MLR 模型估计,土壤生物、土壤盐分和土地利用类型等因素分别对大肠杆菌分布的贡献为 28%、29%和 43%。根据蒙特卡罗模拟,污水灌区 0-400cm 深度剖面大肠杆菌的平均数量为 46±17×10 cfu/g,95%概率区间分布在 14×10 cfu/g 到 78×10 cfu/g 之间。本研究结果有助于了解污水灌溉对深层土壤中病原菌的负面影响,对于评估地下水污染的潜在风险具有重要意义。

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