The use of bayesian networks and bootstrap to evaluate risks linked to the microbial contamination of leafy greens irrigated with reclaimed water in Southeast Spain

IF 3 4区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Microbial Risk Analysis Pub Date : 2022-12-01 DOI:10.1016/j.mran.2022.100234
Alberto Garre , Pablo S. Fernández , Pilar Truchado , Pedro J. Simón-Andreu , Roland Lindqvist , Ana Allende
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引用次数: 2

Abstract

The use of reclaimed water for irrigation is one of the most common strategies to address water scarcity in many regions of the world, and many of the most intensive production areas of fruits and vegetables rely on these water sources to produce high quality fresh produce. However, there are still concerns regarding the microbiological quality and safety of products irrigated with reclaimed water. In this study, we propose an innovative approach to evaluate factors affecting this potential risk. Using the concentration of Escherichia coli as a proxy (an indicator) for bacterial pathogens, we define a probabilistic model divided in two parts. The variation in bacterial concentration during water reclamation and distribution is described by a Bayesian Network, where variability and uncertainty are included by data augmentation using non-parametric bootstrap. The second part, is a stochastic model that predicts the microbial concentration on the plant accounting for cross-contamination and bacterial survival.

The novel approach is used to evaluate the factors affecting the contamination and potential risk associated with the consumption of leafy greens irrigated with reclaimed water from two wastewater treatment plants (WWTP) in several growing fields located in the south-east of Spain. According to the model, the microbial concentration in the outlet of the WWTP has a relatively low impact on the probability of E. coli concentrations on the plant to exceed 2 log CFU/g (a common threshold), and the impact of the irrigation system (overhead, drip or irrigation) would be insignificant. Instead, the probability of exceedance would be dominated by soil-to-plant contamination due to splashing, when organic amendments are used as fertilizers. Therefore, provided every step in water reclamation from water generation to point of use is kept safe, current reclamation treatments from WWTPs would be effective in reducing microbial concentrations in reclaimed water.

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使用贝叶斯网络和bootstrap来评估西班牙东南部用再生水灌溉的绿叶蔬菜的微生物污染风险
在世界许多地区,使用再生水进行灌溉是解决缺水问题的最常见策略之一,许多最密集的水果和蔬菜生产区依靠这些水源生产高质量的新鲜农产品。然而,再生水灌溉产品的微生物质量和安全性仍然令人担忧。在这项研究中,我们提出了一种创新的方法来评估影响这种潜在风险的因素。利用大肠杆菌的浓度作为细菌病原体的代理(指标),我们定义了一个分为两部分的概率模型。细菌浓度在水回收和分配过程中的变化由贝叶斯网络描述,其中变异性和不确定性包括使用非参数自举的数据增强。第二部分,是一个随机模型,预测植物上的微生物浓度,考虑交叉污染和细菌存活。这种新方法被用来评估影响污染的因素和潜在风险,这些污染和潜在风险与在位于西班牙东南部的几个种植领域使用两个污水处理厂(WWTP)的再生水灌溉的绿叶蔬菜有关。根据模型,污水处理厂出口微生物浓度对植物上大肠杆菌浓度超过2 log CFU/g(常见阈值)的概率影响较小,灌溉系统(高架、滴灌或灌溉)的影响不显著。相反,当使用有机改良剂作为肥料时,超标的可能性将主要是由于飞溅造成的土壤对植物的污染。因此,如果从产生水到使用点的水回收的每一步都是安全的,那么目前从污水处理厂进行的回收处理将有效地降低再生水中的微生物浓度。
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来源期刊
Microbial Risk Analysis
Microbial Risk Analysis Medicine-Microbiology (medical)
CiteScore
5.70
自引率
7.10%
发文量
28
审稿时长
52 days
期刊介绍: The journal Microbial Risk Analysis accepts articles dealing with the study of risk analysis applied to microbial hazards. Manuscripts should at least cover any of the components of risk assessment (risk characterization, exposure assessment, etc.), risk management and/or risk communication in any microbiology field (clinical, environmental, food, veterinary, etc.). This journal also accepts article dealing with predictive microbiology, quantitative microbial ecology, mathematical modeling, risk studies applied to microbial ecology, quantitative microbiology for epidemiological studies, statistical methods applied to microbiology, and laws and regulatory policies aimed at lessening the risk of microbial hazards. Work focusing on risk studies of viruses, parasites, microbial toxins, antimicrobial resistant organisms, genetically modified organisms (GMOs), and recombinant DNA products are also acceptable.
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