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<br />> <br /> <br />, <br /> <br />(i) the first order moment approach, in which the uncertainty is ex- <br />pressed in terms of a variance associated with a variable of interes~. The <br />variance is a complete descriptor of the uncertainty only in the case of <br />guassian random variables. Nevertheless, the first-order second moment <br />approach has been used with success in real-time forecasting (e.g. Georgaka- <br />kos et al. 1988). In that study, optimal estimation of models states based <br />on a physically based parameterization of uncertainty was shown to signifi- <br />cantly improve the reliability of short-term forecasts. <br />(ii) Monte-Carlo based approaches such as the Extended Streamflow Pre- <br />diction methodology (Day 1985) which use a population of future meteorologi- <br />cal records determined statistically based on records from previous years, <br />together with a fixed set of initial conditions, for assessing long-term <br />variability. Such a simulation framework has the advantage of generating a <br />whole distribution (rather than just the first two moments). The long-term <br />forecasts obtained in this approach are particularly valuable in the context <br />of designing flood control structures for preparedness and resiliency. <br />While these techniques have been used with lumped parameter watershed <br />models, they have not been used extensively with distributed models in small <br />watersheds prone to flash flooding. Distributed hydrologic modeling is <br />becoming more feasible due to the ready availability of terrain and spatial <br />data at high resolutions and distributed rainfall forecasts for systems such <br />as NEXRAD (Beven 1991). Assessing the computational requirements associated <br />with such detailed modeling and developing approaches for efficient implemen- <br />tation of distributed modeling approaches remains a major challenge. Howev- <br />er, in small watersheds with high relief, prone to flash flooding, such <br />distributed modeling can significantly improve our understanding of flood <br />dynamics. <br /> <br />5.3. Impact of Urban Water Conservation on Evapo-transpiration <br /> <br />The state of the art in urban water conservation planning and management <br />is summarized in an AWWA publication titled Evaluatin9 Urban Water Conserva- <br />tion Programs: A Procedures Manual (Dziegelewski et al. 1993). We recently <br />completed the first phase of doing continuous monitoring of residential water <br />use in Boulder (Mayer 1995). Innovative, non-intrusive battery powered data <br />loggers equipped with magnetic sensors were fitted on the water meters at 16 <br />pre-selected homes in the Heatherwood neighborhood in Boulder and the flow <br />rate was measured every 10 seconds during Summer 1994 and Winter 1995 (Mayer <br />1995). This yielded continuous flow trace data precise enough to isolate, <br />quantify, and categorize individual water uses in each home. This database <br />of over 15,000 measured events will be greatly expanded next summer with a <br />study of 60 homes in Westminster, a northwest suburb of Denver. This expand- <br />ed database will provide a unique capability to evaluate urban water supply <br />systems. Also, for Heatherwood, we have established a complete GIS system <br />for 220 houses which includes five years of measured monthly water use for <br />each house and complete demographic information (Mayer 1995). Our studies to <br />date indicate that nearly 80 % of summer water use is for lawn watering. <br />Thus, this is potentially the most cost-effective control measure. What are <br />the long-term implications of aggressive programs to reduce E-T from lawn <br />watering in Boulder? An urban water budget will be developed as part of this <br />initiative. <br />Little work has been done to quantify the amount of water lost to ET in <br />urban areas. In order to close the water budget for urban areas of the BCW, <br />it is proposed to implement several methods to account for ET. Some simple <br />methods such as the Penman and Priestley-Taylor equations adapted for vege- <br /> <br />11 <br />