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<br /> <br />~' <br />- <br />.~ <br />f,....;:,. <br />'.~ <br />~-- <br />,-r~.-' <br /> <br />~- <br /> <br />:~ <br /> <br />M,..-. <br /> <br />'":-r <br />-,,,,;. <br />,;~.;. <br /> <br />;,:,~~. <br /> <br />~t: <br />,";;;;; <br /> <br />ft- <br />-,.~i. <br />~-' <br />~.- <br /> <br />~''f- <br /> <br />.....,.. <br />?~ <br /> <br />"~"~ <br /> <br />,. <br />"'" <br />-::!to. <br /> <br />.~.' <br />ii;;: <br /> <br />COMPARISON OF NINE UNCALIBRATED RUNOFF MODELS TO <br />OBSERVED FLOWS IN TWO SMALL URBAN WATERSHEDS <br /> <br />By Phillip J. ZarrleUo, Hydrologist, U.S. Geological Survey, Ithaca, New York <br /> <br />~hstract: Ninc uncalibratcd runaffmadel results-CASC2D, CUHP, CUHP/SWMM, DR3M, HEC.I, HSPF, <br />PSRM, SWMM, and TR20 were campared to' abserved flaws in two' small urban watersheds with distinctly different <br />climatic and physiagraphic settings; a 3.10 mi2 semiarid maderately-slaped watershed near Denver, CO, and a 0.14 ' <br />mi2 caastal watershed with steep slapes near Seattle, WA. All madels were run by experienced madelers using identi- <br />cal data pravided an selected basin characteristics and rainfall that are readily available to' the engineering cammu- <br />nity. Observed streamflaw was nat pravided, and thus the results are dependent an madelers' judgment and the ability <br />to' canceptually and quantitatively represent the hydralagic system, Data far six starms in each watershed (antecedent <br />canditians, rainfall valume, intensity, and duratian) were provided. Simulated peak flows differed from abserved <br />peak flaws by as much as 260 percent and simulated stann valumes differed fram abserved starm valwhes by as <br />much as 240 percent. The average raat mean square madel errar (RMS) was slightly larger far peak flaws in the <br />caastal watershed (68) than in the semi-arid watershed (55), whereas the RMS far stann valume was abaut the same <br />in the two' watersheds (54 and 56, respectively). In general, the madelsbased-on the SCS.curve numberbad the paar- <br />est fit. Results indicate simulated flaws fram uncalibrated models have wide variability far bath types afwaiersheds; <br />this cauld result in aver- ar underdesign af stannwater-management structures. <br /> <br />INTRODUCTION <br />Planning and design af stonnwater-drainage systems, culverts, detentian basins, and ather stannwater facilities <br />requires infannatian an stann peak flaws and runaffvalumes. Rainfall-runaffmadels, aften utilized to' estimate this <br />infannatian, vary in camplexity, functianality, and applicability to a given region ar stann type, but anly'through a <br />process af calibratian and verificatian can reliable results be acquired. Uncalibrated madels are aften used. hawever, <br />because either the infannatian needed far calibratian and verificatian are unavailable, ar the expense afthese prace- <br />dures can nat be justified. Little infannatian is availahle an the reliability and error assaciated with the use af an <br />uncalibrated madel. <br /> <br />TO' detennine the variability afuncalibrated flaw simulatians across a range afmadel types, a si1U1'1o camparisan af <br />nine selected, nanproprietary, runaff madels were made far six stanos in each af two small urban watersheds with <br />distinctly different climatic and physiagraphic settings; Harvard Gulch, a semi-arid watershed near Denver, CO, and <br />Surrey Dawns, a caastal watershed in the Pacific Narthwest near Seattle, WA. Each afthe madels were run by expe- <br />rienced madelers using anly data pravided an selected basin characteristics, antecedent stann canditians, and stann <br />rainfall that are typically available to' the engineering cammunity. Observed streamflaw were nat provided and the <br />madels were run withaut being calibrated. Thus, !)ladel results are dependent an madelers' judgment and the ability <br />to canceptually and quantitatively represent the hydralagic system. This paper describes the results af the uncali- <br />brated made Is. <br /> <br />Acknowledgments: Numeraus peaple pravided their time and expertise to' perf ann madel simulatians- Dr. Gret <br />Aran, Penn State Univ. (pSRM); Darryl Davis, Arlen Feldman, Gary Brunner, Dr. David Galdman, and Stephen Brei- <br />thaupt, U.S. Anny Carps afEngineers (HEC-I); Richard Dinicala, U.S. Geolagical Survey (HSPF); Dr. Pierre Julien, <br />Scott Hagan, Aaron Egben, James White, and James Light, Calarado State Univ. (CASC2D); Tania McNutt, Cala- <br />rada State Univ. (CUHP); Michael Schmidt, Camp, Dresser and McKee (SWMM). The ASCE Urban Water <br />Resaurces Research Cauncil, particularly Ben Urhanas, provided the initial idea and suppart far this study, <br /> <br />RAINFALL-RUNOFF MODEL CHARACTERISTICS <br /> <br />Runoff models differ mainly in the methads used to generate runoff and to' route it through a basin; they also differ in <br />the control options available, data handling, and user interface, but these differences generally have little ar nO' effect <br />on haw the model computes runaff. The test madels (summarized in table I) calculate runaff(excess precipitatian) <br />by ane afthe fallawing; (I) SCS curve numher, (2) Hartan's equatian, ar (3) cantinuaus sail maisture accaunting. <br />The SCS curve numher is the mast widely used method because of its relative simplicity; it defines the watershed <br />starage and is detennined for a watershed or sub.watershed predaminantly from the types af soils, vegetative cover, <br />and land-use characteristics (Soil Conservation Service, 1986), Harton's equation assumes that the soil infiltration <br />rate decreases expanentially as a functian aftime since the stonn began. Same madels accaunt far sail-maisture star- <br /> <br />P.ECr.:!VED <br /> <br />7-163 MAR 2:J 1999 <br />