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评估内陆洪水事件相关的微生物风险:弥合病原体传播理论与模型之间的差距

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

作者信息

Collender Philip A, Cooke Olivia C, Bryant Lee D, Kjeldsen Thomas R, Remais Justin V

机构信息

Environmental Health Sciences, School of Public Health, University of California, Berkeley, Berkeley, CA 94720.

Department of Architecture and Civil Engineering, University of Bath, Bath, UK BA2 7AY.

出版信息

Crit Rev Environ Sci Technol. 2016;46(23-24):1787-1833. doi: 10.1080/10643389.2016.1269578. Epub 2016 Dec 9.

Abstract

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.

摘要

众所周知,洪水会促进传染病传播,但关于洪水相关微生物风险的定量研究却很有限。病原体命运与迁移模型提供了一个框架,用于研究景观特征、水文与水传播疾病风险之间的相互作用,但尚未针对洪水情况广泛开发此类模型。我们严格审视了当前水文模型在表示伴随洪水出现的异常水流路径、不均匀水流深度和不稳定水流速度方面的能力。我们研究了水动力过程与病原体从土壤和沉积物中时空变化的悬浮和沉积、病原体在水流中的扩散以及影响病原体迁移和持久性的成分浓度之间的理论联系。通过识别知识和建模实践中的差距,我们提出了一项研究议程,以加强应用于内陆洪水的微生物命运与迁移建模:1)开发纳入来自洪水源头(如厕所)的病原体排放、迁移成分对病原体持久性的影响以及供应受限的病原体迁移的模型;2)在一系列环境中评估参数可识别性并比较不同程度过程表示下模型性能的研究;3)开发遥感数据集以支持对脆弱、数据匮乏地区的建模;4)建模人员与实地研究人员之间的合作,以扩大现场有用数据的收集。

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