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Last modified
7/14/2009 5:02:31 PM
Creation date
5/20/2009 2:48:04 PM
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UCREFRP
UCREFRP Catalog Number
7925
Author
Smith, G. L., ed.
Title
Proceedings, Workshop In Instream Flow Habitat Criteria And Modeling, December 1979.
USFW Year
1979.
USFW - Doc Type
Info. Series No. 40,
Copyright Material
NO
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<br />~ <br /> <br />of the IFGIM that are utilized for determining management aspects of instream <br />flow needs; (3) identification of possible improvements to the IFGIM's <br />existing hydraulic simulation models; and (4) making recommendations <br />pertaining to the addition of sedimentation aspects of instream flow into the <br />methodology, <br />Five specific improvements were identified as necessary for increasing <br />the predictive capability of IFGIM: (1) an improved approach to predictin <br />watershed response due to duration, quality, and frequency of flow including <br />consideration of the impacts of forest harvesting, irrigated agriculture, <br />grazing, mining, and other watershed management activities on the water and <br />sediment yield from watersheds to stream channel; (2) increased capability of <br />the spatial resolution of the IFG models to accomodate both upstream <br />management plans of small watersheds and legal requirements for instream flow <br />needs, environmental quality, and water resource management for a complete <br />river basin or subbasin; (3) the models should not be area or regionally <br />specific; therefore, the models will require site-specific calibration data <br />and regionally specific species response criteria; (4) the model should be <br />able to explicitly represent management activities and simulate the system <br />response resulting from these activities; and (5) increased capability to <br />assign probabilities to climatic and spatial variables. <br />In additi.on to the foregoing improvements the following characteristics <br />are desired in predictive models: (1) they should be functional within the <br />constraints of limited data; (2) they should be oriented for use by management <br />personnel and applicable to specific decision-making processes; (3) they <br />should possess the capability of making predictions at different levels of <br />accuracy and resolution depending on purpose of the assessment; (4) the <br />computer software system should adopt a modular approach; and (5) the models <br />should be properly documented. <br /> <br />~ <br /> <br />9 <br /> <br />17 <br />
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