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Procedures for adjusting regional regression models of urban-runoff quality using local data
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.
Suggested Citation
Hoos, A.B., Lizarraga, J.S., 1996, Procedures for adjusting regional regression models of urban-runoff quality using local data: U.S. Geological Survey Water Supply Paper 2428, iv, 33 p. ;28 cm., https://doi.org/10.3133/wsp2428.
Publication type
Report
Publication Subtype
USGS Numbered Series
Title
Procedures for adjusting regional regression models of urban-runoff quality using local data