A Spreadsheet-Based Site Specific Risk Assessment Tool for Land-Applied Biosolids

Jingjie Teng, Arun Kumar, P. Gurian, M. Olson
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引用次数: 5

Abstract

Due to the complexity of risk assessments, models tend to be dense and difficult for users to follow and modify in order to meet their needs. A spreadsheet-based tool, named the Spreadsheet Microbial Assessment of Risk: Tool for Biosolids (SMART Biosolids), has been developed for quantitative microbial risk assessment of land-applied biosolids, which is intended to address these challenges. The model combines spreadsheets with add-in visual basic macros in a ra- tional and supportable manner. Spreadsheets serve as a familiar interface for an archive of relevant inputs for parameter values and references.The exposure model is also encoded in the spreadsheet, which allows users to trace back computa- tions through the model and modify parameters if necessary. Add-in macros are used to implement a nested sampling rou- tinethat calls the exposure model encoded in the spreadsheet many times to calculate values for different pathogens and to perform a Monte Carlo uncertainty analysis. An example application finds that adenovirus is the pathogen presenting the highest risk by the groundwater pathway. However, uncertainties are large indicating that additional information on the fate and transport of adenovirus in groundwater would be helpful. The SMART Biosolids model may be useful for in- forming a number of decisions. Regulators and land application program managers may be able to use the model to re- view different sites and determine which sites are most appropriate for land application. Researchers may use the model to integrate information and identify key gaps in knowledge warranting future research.
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基于电子表格的土地应用生物固体特定地点风险评估工具
由于风险评估的复杂性,模型往往是密集的,用户难以遵循和修改以满足他们的需求。一种基于电子表格的工具,名为电子表格微生物风险评估:生物固体工具(SMART Biosolids),已经开发用于定量评估陆地应用生物固体的微生物风险,旨在解决这些挑战。该模型以一种合理和可支持的方式将电子表格与外接的visual basic宏组合在一起。电子表格是一个熟悉的界面,用于存档参数值和引用的相关输入。曝光模型也编码在电子表格中,允许用户通过模型追溯计算并在必要时修改参数。外接程序宏用于实现嵌套采样时间,该时间多次调用电子表格中编码的暴露模型来计算不同病原体的值并执行蒙特卡罗不确定性分析。通过实例应用发现,腺病毒是地下水途径中危险性最高的病原体。然而,不确定性很大,表明关于地下水中腺病毒的命运和运输的额外信息将有所帮助。SMART生物固体模型可能对形成许多决策有用。监管机构和土地申请项目经理可以使用该模型来审查不同的地点,并确定哪些地点最适合土地申请。研究人员可以使用该模型来整合信息,并确定知识中的关键差距,以保证未来的研究。
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