AWWA ACE99447 PDF

AWWA ACE99447 PDF

Name:
AWWA ACE99447 PDF

Published Date:
01/01/1999

Status:
Active

Description:

Novel Statistical Methods for Risk Assessment of Disinfection By-Product Mixtures

Publisher:
American Water Works Association

Document status:
Active

Format:
Electronic (PDF)

Delivery time:
10 minutes

Delivery time (for Russian version):
200 business days

SKU:

Choose Document Language:
$7.2
Need Help?
Investigation of the assumption of additivity has been hampered by the lack of adequate and appropriate experimental designs and statistical methods. This is particularly true for mixtures of more than two chemicals. This paper describes the threshold additivity model, a flexible experimental design and statistical methodology that is applicable to mixtures of large numbers of chemicals. Advantages of this design and analytic approach are that it allows investigators to focus on particular mixture combination points of interest, decreasing the number of animals required as well as the time and cost of performing the experiments. This approach is illustrated by two samples applicable to drinking water disinfection byproducts formed during either chlorination of water or ozonation of water followed by post-treatment with either chlorine or chloramine. In the first example, the additivity assumption is examined, with hepatotoxicity in female CD-1 mice as the endpoint, for a mixture of the four trihalomethanes, chloroform (CHC13), bromoform (CHBr3), bromodichloromethane and chlorodibromomethane, formed during disinfection of water. The mixture tested was based on the average seasonal proportions of these four chemicals at 35 water treatment facilities. For the particular mixture and dosage tested, the experimental sample mean was within the 95% prediction interval from the threshold additivity model, providing evidence that dose additivity is a reasonable assumption for risk assessment. In the second example, the additivity assumption for developmental toxicity is examined for binary mixtures of CHC13 and CHBr3 in medaka fish. With the statistical power afforded by the present experiment, antagonism was detected at the highest mixture dose tested (25 ppm CHC13:25 ppm CHBr3) and departure from additivity was not detected at the three lower-dose mixture groups. In summary, a threshold additivity model for efficiently detecting departure from additivity is described and illustrated with two biological examples.
File Size : 1 file , 210 KB
ISBN(s) : 1583210016
Note : This product is unavailable in Ukraine, Russia, Belarus
Number of Pages : 17
Published : 01/01/1999

History


Related products

AWWA ACE99320
Published Date: 01/01/1999
"Design/Build/Maintain Project Delivery Minimizes Risks While Ensuring Quality for Detroit's New 240-MGD Water Treatment Plant"
$7.2
AWWA ACE99330
Published Date: 01/01/1999
Outside the "Meter Reading Box"
$7.2
AWWA ACE99346
Published Date: 01/01/1999
Price Elasticity With Increasing Block Rates in Texas
$7.2
AWWA ACE99550
Published Date: 01/01/1999
Balancing the Water Needs of the Natural and Human Environments in a Coastal New England Town
$7.2

Best-Selling Products