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.
Citation Information
Publication Year | 1996 |
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Title | Procedures for adjusting regional regression models of urban-runoff quality using local data |
DOI | 10.3133/wsp2428 |
Authors | Anne B. Hoos, Joy S. Lizarraga |
Publication Type | Report |
Publication Subtype | USGS Numbered Series |
Series Title | Water Supply Paper |
Series Number | 2428 |
Index ID | wsp2428 |
Record Source | USGS Publications Warehouse |