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首页> 外文期刊>The Science of the Total Environment >Quantitative microbial risk assessment combined with hydrodynamic modelling to estimate the public health risk associated with bathing after rainfall events
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Quantitative microbial risk assessment combined with hydrodynamic modelling to estimate the public health risk associated with bathing after rainfall events

机译:定量微生物风险评估与流体动力学模型相结合,以估算降雨事件发生后与沐浴相关的公共健康风险

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摘要

This study investigated the public health risk from exposure to infectious microorganisms at Sandvika recreational beaches, Norway and dose-response relationships by combining hydrodynamic modelling with Quantitative Microbial Risk Assessment (QMRA). Meteorological and hydrological data were collected to produce a calibrated hydrodynamic model using Escherichia coli as an indicator of faecal contamination. Based on average concentrations of reference pathogens (norovirus, Campylobacter, Salmonella, Ciardia and Cryptosporidium) relative to E. coli in Norwegian sewage from previous studies, the hydrodynamic model was used for simulating the concentrations of pathogens at the local beaches during and after a heavy rainfall event, using three different decay rates. The simulated concentrations were used as input for QMRA and the public health risk was estimated as probability of infection from a single exposure of bathers during the three consecutive days after the rainfall event. The level of risk on the first day after the rainfall event was acceptable for the bacterial and parasitic reference pathogens, but high for the viral reference pathogen at all beaches, and severe at Kalvoya-small and Kalvoya-big beaches, supporting the advice of avoiding swimming in the day(s) after heavy rainfall. The study demonstrates the potential of combining discharge-based hydrodynamic modelling with QMRA in the context of bathing water as a tool to evaluate public health risk and support beach management decisions.
机译:这项研究通过将流体动力学模型与定量微生物风险评估(QMRA)相结合,调查了挪威山特维卡休闲海滩接触传染性微生物所致的公共健康风险以及剂量-反应关系。收集气象和水文数据,以使用大肠杆菌作为粪便污染的指标来生成校准的水动力模型。根据先前研究中挪威污水中相对于大肠杆菌的参考病原体(诺如病毒,弯曲杆菌,沙门氏菌,贾第虫和隐孢子虫)的平均浓度,使用流体力学模型模拟了重度期间和之后局部海滩上病原体的浓度。降雨事件,使用三种不同的衰减率。模拟浓度被用作QMRA的输入,而公共卫生风险被估计为降雨事件后连续三天中沐浴者单次暴露的感染概率。降雨事件发生后的第一天,细菌和寄生虫参考病原体的风险水平是可以接受的,但所有海滩的病毒参考病原体的风险水平都很高,在小卡鲁瓦海滩和大卡鲁瓦海滩的海滩严重,建议避免使用大雨过后的一天里游泳。这项研究证明了在沐浴用水的背景下将基于排放的水动力模型与QMRA结合起来的潜力,该工具可作为评估公共健康风险和支持海滩管理决策的工具。

著录项

  • 来源
    《The Science of the Total Environment》 |2016年第1期|270-279|共10页
  • 作者单位

    Department of Mathematical Sciences and Technology (IMT), Norwegian University of Life Sciences (NMBU), P.O. Box 5003, N-1432 As, Norway;

    Norwegian University of Life Sciences (NMBU), P.O. Box 5003, N- 1432 As. Norway,Norwegian Institute for Water Research (NIVA), Gaustadalleen 21,0349 Oslo, Norway;

    Norwegian Institute for Water Research (NIVA), Gaustadalleen 21,0349 Oslo, Norway;

    Norwegian University of Life Sciences (NMBU), P.O. Box 5003, N- 1432 As. Norway;

    Norwegian University of Life Sciences (NMBU), P.O. Box 5003, N- 1432 As. Norway;

    Norwegian University of Life Sciences (NMBU), P.O. Box 5003, N- 1432 As. Norway;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Microbial risk assessment; Hydrodynamic modelling; Public health; Bathing water;

    机译:微生物风险评估;流体动力学建模;公共卫生;沐浴水;

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