Using a Basin-Scale Flow Model to Identify and Map Ground
Water Dependency of Ecosystem Services on the Calapooia

Watershed, Oregon

Background and Purpose

The objectives of this proposed research are to build and calibrate
a numerical model of ground water flow that can be coupled to
existing or planned models of surface water flow, as well as to
ecosystem services. Ecosystem sendees of interest include
drinking water supply, nitrate attenuation, irrigation supply,
maintenance of wetlands, and aquatic habitat. The component
flux results of this ground water flow model will improve the
overall hydrologic characterization of the basin.

Research Objectives

•	Develop a conceptual model of the basin using a
combination of spatially explicit information from
variety of data sources; to be implemented using a

•	Construct and calibrate a ground water flow model to reveal how ground water-dependent ecosystem
services may be accounted for in a decision-support predictive framework

The prediction component of this research will address several questions related to ground water dependency of
ecosystem services. The prediction aspects will formulate ecological response functions with continuous forcing
variables. When this is not possible, a variety of model scenarios associated with specific management decisions
may be used to generate a corresponding variety of ecological responses.

Progress to Date

Preliminary data compilation has begun and a Quality Assurance Project Plan is being prepared.

Principal Investigator	Collaborator

Bart Faulkner	U.S. EPA, National Health and Environmental

(580) 436-8530	Effects Research Laboratory, Western Ecology

Division

The National Risk Management Research Laboratory's mission is to advance scientific and engineering
solutions that enable EPA and others to effectively manage current and future environmental risks.
NRMRL possesses unique strengths and capabilities and is dedicated to providing credible
technological information and scientific solutions that support national priorities
and protect human health and the environment.

stochastic simulation framework

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