A Dynamic Model to Assess Microbial Health Risks Associated with Beneficial Uses of Biosolids - Phase 1

WERF Report (Project 98-REM-1)

Currency:

Standard price: £29.00

Available as an ebook

Please purchase via www.iwaponline.comOpens in new window

Also part of Water Intelligence Online Digital Reference Library

Standard ePrice: £29.00

+ VAT

Access ebook

Publication Date: 01/03/2003

Pages: 90

Binding: Paperback

ISBN13: 9781843396345

eISBN: 9781780403212

Download book flyer Print page

Maximum allowable levels for chemical contaminants in biosolids were developed for the Part 503 rule using risk-based methodologies. However, maximum allowable levels of microbiological contaminants in the Part 503 rule were based on specific treatment methodologies rather than risk levels, because it was determined at that time that risk assessment methodologies were not sufficiently developed. Given the current interest in the beneficial uses of biosolids and the projected rapid growth of biosolids reuse, there is increasing interest in the development of a microbial risk assessment methodology for regulatory and operational decision making. 

This document presents a methodology for assessing risks to human health from pathogens via exposure to biosolids. The methodology integrates two fundamental components: an exposure assessment component and a health risk component. The exposure assessment component is used to quantify pathogen levels in the environment and serves as input to the health effects component. The health effects component is used to quantify health risks using a model that explicitly accounts for properties unique to an infectious disease process, specifically secondary transmission and immunity. 

To demonstrate the applicability of these risk-based methods developed for biosolids exposure, numerical simulations were carried out for a case study example in which the route of exposure was direct consumption of biosolids-amended soil. The output from the case study yielded a decision tree that differentiates between conditions in which the risk from biosolids exposure is high and those conditions in which the relative risk from biosolids is low. This decision tree illustrates the interaction among the important factors in quantifying risk. For the case study example, those factors include biosolids treatment processes, the pathogen shedding rate of infectious individuals, secondary transmission and immunity. Further work in determining biosolids exposures is required before this methodology can be used in a comprehensive risk assessment.
 

 WIO logo This publication can also be purchased and downloaded via Pay Per View on Water Intelligence Online - click on the Pay Per View icon below

 

 

JM Colford

DM Eisenberg

JNS Eisenberg

J Scott

JA Soller

The latest from @IWApublishing

"Propagation dynamics and causes of hydrological in response to drought at seasonal timesc… https://t.co/ZIP4CXiUBM 13 hours 27 min ago
RT : 🚨Not long left to submit your paper for peer review and possible publication in this Special Issue ⬇ Relevant topi… https://t.co/M1bVqyuUIw 13 hours 31 min ago
"Improving BP artificial neural network model to predict the in arid regions: a case study in Northern Shaanxi… https://t.co/uKlLmBi3t6 3 days 8 hours ago