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Title: Evaluation of Data Needs for Nutrient Target-Setting Using the Nutrient Modeling ToolBox (04814)

PROJECT NUMBER:

LINK3R16

PROJECT MANAGER:

Lola Olabode, M.P.H.
The Water Research Foundation
lolabode@waterrf.org

PRINCIPAL INVESTIGATOR:

David W. Dilks, Ph.D.
LimnoTech
ddilks@limno.com

STATUS:

Completed

LAST UPDATED:

6/10/2019

TOTAL FUNDING:

$295,750.00

REPORT DESCRIPTION:

This research examines the amount of data required to develop a mechanistic water quality model that can support water quality management actions for nutrients. Jackknife analyses were conducted to assess the relationship between the amount of data available to support model application and resulting model error. A range of model uncertainty analysis techniques were applied to determine their applicability for use with mechanistic nutrient models. State regulatory staff were interviewed, and an inventory of model applications reviewed, to assess requirements for model acceptance. A practical method for estimating uncertainty from complex models was developed, and specific recommendations are provided regarding data requirements (and other considerations) needed to support acceptance of model results. Published by WRF. 130 pages. Online PDF. (2019)

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