Joy S. Lizarraga Anne B. Hoos 1996 Statistical operations termed model-adjustment procedures can be used to incorporate local data into existing regression modes to improve the predication of urban-runoff quality. Each procedure is a form of regression analysis in which the local data base is used as a calibration data set; the resulting adjusted regression models can then be used to predict storm-runoff quality at unmonitored sites. Statistical tests of the calibration data set guide selection among proposed procedures. application/pdf 10.3133/wsp2428 en U.S. G.P.O., Procedures for adjusting regional regression models of urban-runoff quality using local data reports