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

机译:估计与内陆洪水事件相关的微生物风险:桥接理论和病原体运输模型

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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, nonuniform flow depths, and unsteady flow velocities that accompany flooding. We investigate the theoretical linkages between hydrodynamic processes and spatiotemporally 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 data sets 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:已知洪水促进传染病传播,但对洪水相关的微生物风险的量化研究受到限制。病原体命运和运输模型提供了一种框架,用于检查景观特征,水文和水性疾病风险之间的相互作用,但尚未广泛开发用于洪水条件。我们批判性地检查当前水文模型的能力,以代表伴随泛洪的不寻常的流动路径,不均匀的流量深度和不稳定的流速。我们研究了流体动力学过程与缺失的悬浮液和土壤和沉积物沉积的理论联系;流动的病原体分散;和影响病原体运输和持久性的成分浓度。识别知识和建模实践中的差距,提出了一个研究议程,加强了适用于内陆洪水的微生物命运和运输建模:(1)掺入洪水源(例如厕所),运输成分对病原体持久性的影响的模型的发展和供应有限的病原体运输; (2)在一系列设置中,研究评估参数可辨率性和比较模型性能,在不同程度的过程表示下进行比较; (3)开发远程感测数据集,以支持易受伤害,数据较差地区的建模; (4)建模者与基于现场的研究人员之间的协作,以扩展原位的有用数据的集合。

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