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

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 rational 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 computations through the model and modify parameters if necessary. Add-in macros are used to implement a nested sampling routinethat 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 informing a number of decisions. Regulators and land application program managers may be able to use the model to review 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.

Risk-Based Critical Concentrations of Legionella pneumophila for Indoor Residential Water Uses

“…In addition to annual risks for each exposure scenario, total, fixture-aggregated annual infection risks for each population were calculated according to eq . A similar approach has been used to pool risks from multiple pathogens by previous QMRA studies, − including respiratory risks due to L. pneumophila where P inf,ann,total = the total annual risk incurred from exposure to a combination of j scenarios where j = faucet, toilet, or shower exposure.…”

Microbial Dose Response Modeling: Past, Present, and Future

“…Using this, he derived the following equation for the (expected) body burden as a function of initial dose and time, where μ v is the growth rate of the vegetative cells. (20) This approach provided as good a fit as an empirical log-normal incubation model. Extending Dose Response Models to Include Explicit Time To Effect.…”

“…Microbial dose response assessment is important for quantitative microbial risk assessment in a number of contexts. These include Drinking water quality , Recreational water − Food safety − Biosolids − Homeland security − …”