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Estimating the microbiological risks associated with inland flood events: Bridging theory and models of pathogen transport

机译:估算与内陆洪水事件有关的微生物风险:桥接理论和病原体运输模型

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摘要

Flooding is known to facilitate infectious disease transmission, yet quantitative research on microbiological risks associated with floods has been limited. Pathogen fate and transport models provide a framework to examine interactions between landscape characteristics, hydrology, and waterborne disease risks, but have not been widely developed for flood conditions. We critically examine capabilities of current hydrological models to represent unusual flow paths, non-uniform flow depths, and unsteady flow velocities that accompany flooding. We investigate the theoretical linkages between hydrodynamic processes and spatio-temporally variable suspension and deposition of pathogens from soils and sediments; pathogen dispersion in flow; and concentrations of constituents influencing pathogen transport and persistence. Identifying gaps in knowledge and modeling practice, we propose a research agenda to strengthen microbial fate and transport modeling applied to inland floods: 1) development of models incorporating pathogen discharges from flooded sources (e.g., latrines), effects of transported constituents on pathogen persistence, and supply-limited pathogen transport; 2) studies assessing parameter identifiability and comparing model performance under varying degrees of process representation, in a range of settings; 3) development of remotely sensed datasets to support modeling of vulnerable, data-poor regions; and 4) collaboration between modelers and field-based researchers to expand the collection of useful data in situ.
机译:众所周知,水灾可以促进传染病的传播,但是与水灾有关的微生物风险的定量研究一直很有限。病原体的命运和运输模型提供了一个框架,以检查景观特征,水文学和水生疾病风险之间的相互作用,但尚未针对洪水条件进行广泛开发。我们批判性地检查了当前水文模型的能力,以表示异常的水流路径,不均匀的水深和洪水带来的不稳定流速。我们研究了水动力过程与时空可变悬浮和土壤和沉积物中病原体沉积之间的理论联系;病原体在流动中的分散;和影响病原体运输和持久性的成分浓度。为了确定知识和建模实践方面的差距,我们提出了一项研究议程,以加强适用于内陆洪水的微生物命运和运输模型:1)建立包括洪水源(例如厕所)排放的病原体,运输成分对病原体持久性的影响的模型,和有限的病原体运输; 2)研究评估参数可识别性,并在一定范围内比较不同过程表示程度下的模型性能; 3)开发遥感数据集,以支持对脆弱的数据贫乏地区进行建模; 4)建模人员与现场研究人员之间的合作,以扩大原位有用数据的收集范围。

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