Procedures for adjusting regional regression models of urban-runoff quality using local data
Water Supply Paper
2428
By: Anne B. Hoos and Joy S. Lizarraga
Links
- Document: Report (pdf)
- Superseded Publications:
- Download citation as: RIS | Dublin Core
Abstract
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.
| Publication type | Report |
|---|---|
| Publication Subtype | USGS Numbered Series |
| Title | Procedures for adjusting regional regression models of urban-runoff quality using local data |
| Series title | Water Supply Paper |
| Series number | 2428 |
| ISBN | 0607862130 |
| DOI | 10.3133/wsp2428 |
| Edition | - |
| Year Published | 1996 |
| Language | ENGLISH |
| Publisher | U.S. G.P.O., |
| Description | iv, 33 p. ;28 cm. |
| Google Analytic Metrics | Metrics page |