Skip to main content
USGS - science for a changing world

Multiple regression and inverse moments improve the characterization of the spatial scaling behavior of daily streamflows in the Southeast United States

Dates

Publication Date

Citation

William H. Farmer, Thomas M. Over, and Richard M. Vogel, 2015, Multiple regression and inverse moments improve the characterization of the spatial scaling behavior of daily streamflows in the Southeast United States: Water Resources Research, v. 51, iss. 3.

Summary

Understanding the spatial structure of daily streamflow is essential for managing freshwater resources, especially in poorly-gaged regions. Spatial scaling assumptions are common in flood frequency prediction (e.g., index-flood method) and the prediction of continuous streamflow at ungaged sites (e.g. drainage-area ratio), with simple scaling by drainage area being the most common assumption. In this study, scaling analyses of daily streamflow from 173 streamgages in the southeastern US resulted in three important findings. First, the use of only positive integer moment orders, as has been done in most previous studies, captures only the probabilistic and spatial scaling behavior of flows above an exceedance probability near the median; [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

metadata5793967159540185090.xml
Potential Metadata Source

View
3.35 KB
Thumbnail
Thumbnail

Tags

Categories
Publication
Types

Provenance

Data source
Harvester
Harvested on Thu Apr 30 04:17:01 MDT 2015 from MODS XML Service

Additional Information

Identifiers

Type Scheme Key
local-index unknown 70137275
local-pk unknown 70137275
doi http://www.loc.gov/standards/mods/mods-outline-3-5.html#identifier doi:10.1002/2014WR015924
series unknown Water Resources Research

Citation Extension

journalWater Resources Research
parts
typevolume
value51
typeissue
value3
languageEnglish
citationTypeArticle

Item Actions

View Item as ...

Save Item as ...

View Item...