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WSPC07148
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WSPC07148
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Last modified
7/29/2009 9:37:35 PM
Creation date
10/9/2006 6:17:50 AM
Metadata
Fields
Template:
Water Supply Protection
File Number
8283.200
Description
Colorado River Basin-Colorado River Computer Models-Colorado River Decision Support System-RAY
State
CO
Water Division
5
Date
1/1/1995
Author
Jim Heaney
Title
Jim Heaney Boulder Creek Description-Project Summary-Watershed Management and Urban Water and Environmental Infrastructure Systems
Water Supply Pro - Doc Type
Report/Study
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<br />, <br /> <br />002076 <br /> <br />fruitful. With current software capability, it looks <br />integrate a management option including optimization. <br />incorporated in the latter phase of this project. <br /> <br />feasible to directly <br />This research will be <br /> <br />5.0 selected Priority Research Areas <br /> <br />The number of important research areas that encompass watersheds and <br />urban infrastructure systems is very large. The proposed approach will <br />demonstrate the proof of concept by developing and running a one year contin- <br />uous simulation of the Boulder Creek Watershed and the City of Boulder envi- <br />ronmental and water infrastructure using existing software and databases. <br />This will allow us to demonstrate the general benefits of an integrated <br />approach. However, we propose to go beyond a general evaluation to specific <br />priority areas to show how the integrated approach can greatly enrich exist- <br />ing analyses. The criteria for selecting specific case studies are: 1. <br />significant problem, 2) research is underway in BCW by at least one of our <br />core faculty, and 3) a diversity of topics. The selected set of applications <br />is described below: <br /> <br />5.1. Natural Disas~er Management-Flooding <br /> <br />Flooding is the most serious type of national disaster in the United <br />States. Approaches for dealing with flooding problems can be divided into <br />three categories: prevention, damage limitation, and compensation (Natural <br />Hazards Center 1992). Under NSF sponsorship, the CU Natural Hazards Center <br />is conducting the Second National Assessment of future directions of hazards <br />management. Boulder was one of three case studies in the first assessment <br />(White and Hass 1975). Professor Heaney is a co-investigator in the current <br />assessment which is led by Professor Mileti.. The BCW DSS will be used to <br />show how the latest DSS technology can be used to improve policy analysis in <br />this important area. Specifically, the 100 year flood event will be simulat- <br />ed, affected areas will be identified, and a policy analysis of how the area <br />can prepare for and finance the recovery will be performed. The City of <br />Boulder has very serious flooding problems and is probably the most inten- <br />sively studied community due to the persistent efforts of Professor Gilbert <br />White and his students. <br /> <br />5.2. Flood Forecas~ing System <br /> <br />Boulder has a very sophisticated flood warning system because it is very <br />vulnerable to flash flooding. An excellent precipitation network exists to <br />support this system. However, there is little forecasting capability in the <br />existing system. <br />In designing any engineering system that is subject to natural forcing <br />functions, it is important to account for the uncertainty inherent in our <br />knowledge of the forces of nature. In the context of flood forecasting <br />associated with urban stormwater management, input and model uncertainty need <br />to be considered. A probabilistic characterization of extreme events pro- <br />vides input to a risk-based cost-benefit analysis of flood control structures <br />and utilities in urban areas. The uncertainty associated with real-time <br />forecasts of watershed response provides the basis for decisions regarding <br />trade-offs between larger capacity control structures and more reliable <br />warning systems. Significant advances have been made in the last two decades <br />on modeling the uncertainty associated with hydrologic response. Among the <br />techniques commonly used in uncertainty assessments are: <br /> <br />10 <br />
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