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Multievent, conceptually based models and a single-event, multiple linear-regression model for estimating storm-runoff quantity and quality from urban areas were calibrated and verified for four small (57 to 167 acres) basins in the Denver metropolitan area, Colorado. The basins represented different land-use types light commercial, single-family housing, and multifamily housing. Both types of models were calibrated using the same data set for each basin. A comparison was made between the storm-runoff volume, peak flow, and storm-runoff loads of seven water-quality constituents simulated by each of the models using identical verification data sets. The multievent, conceptually based models studied were the U.S. Geological Survey's Distributed Routing Rainfall-Runoff Model Version II (DR3M-II) (a runoff-quantity model designed for urban areas), and a multievent, urban runoff-quality model, DRsM-QUAL. Water-quality constituents modeled were chemical oxygen demand, total suspended solids, total nitrogen, total phosphorus, total lead, total manganese, and total zinc. A multiple linear-regression analysis, based both on log-transformed and untransformed data, was made. A separate regression equation was developed for each runoff characteristic or water-quality constituent, and all the regression equations were basin specific. The two types of models produced comparable results for most runoff characteristics and water-quality constituents in the basins studied. However, development and implementation of multievent, conceptually based models are more costly and time consuming than development and implementation of single-event, multiple linear-regression models. INTRODUCTION Runoff from urban areas in the Denver metropolitan area (fig. 1) has been studied since the late 1960's by Federal, State, and local agencies as well as by private consultants. Mathematical models of the processes of runoff from urban areas have been included in these studies since about 1975 (Ellis and Mustard, 1984). These studies have used a variety of models of varying degrees of complexity; the time frames have been both continuous or multievent and single event, and the model basis has been both empirical and conceptual. This report compares results from multievent, conceptually based models and single-event, multiple linear-regression models. For both models, measured EXPLANATION AM°6?h °|42° U' S ' GEOLOGICAL SURVEY Northglenn MONITORING SITE, NUMBER, AND BASIN NAME

Comparison of conceptually based and regression rainfall-runoff models, Denver Metropolitan area, Colorado, and potential applications in urban areas