USGS Science⌕ Search

USGS · fs20113082

Annual peak streamflow and ancillary data for small watersheds in central and western Texas

Abstract

Estimates of annual peak-streamflow frequency are needed for flood-plain management, assessment of flood risk, and design of structures, such as roads, bridges, culverts, dams, and levees. Regional regression equations have been developed and are used extensively to estimate annual peak-streamflow frequency for ungaged sites in natural (unregulated and rural or nonurbanized) watersheds in Texas (Asquith and Slade, 1997; Asquith and Thompson, 2008; Asquith and Roussel, 2009). The most recent regional regression equations were developed by using data from 638 Texas streamflow-gaging stations throughout the State with eight or more years of data by using drainage area, channel slope, and mean annual precipitation as predictor variables (Asquith and Roussel, 2009). However, because of a lack of sufficient historical streamflow data from small, rural watersheds in certain parts of the State (central and western), substantial uncertainity exists when using the regional regression equations for the purpose of estimating annual peak-streamflow frequency.

Explore related subjects

90° N90° S · 180° W ← longitude → 180° E
Source-reported bounding extent: 28.969700808694157° to 36.500805317604794° latitude; -106.6552734375° to -98.404541015625° longitude. This indicates report coverage, not an exact sampling location. View area on OpenStreetMap.

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Glenn R. Harwell, William H. Asquith. 2011. Annual peak streamflow and ancillary data for small watersheds in central and western Texas. https://doi.org/10.3133/fs20113082

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related USGS reports

Compensatory offsetting tool for energy infrastructure

The U.S. Geological Survey and the Habitat and Population Evaluation Team of the U.S. Fish and Wildlife Service created several tools that enable compensatory offsets for displacement of breeding grassland birds and waterfowl associated with energy infrastructure, including renewable-energy, oil, and gas facilities and roads. The Avian-Impact Offset Method (AIOM) addresses displacement affecting grassland birds and waterfowl. The basis of the AIOM is a calculation that quantifies the displacement of grassland birds and waterfowl associated with energy infrastructure (that is, the disturbance features). The AIOM then estimates the amount of habitat needed to compensate for this displacement. The AIOM converts the number of bird pairs lost owing to avian behavioral avoidance and estimates the site-specific area of grasslands or the number of wetlands needed to compensate for displaced pairs of grassland birds or waterfowl, respectively. Decision-support tools spatially apply the AIOM to estimate grassland and wetland offsets and guide the location of offsetting measures. The AIOM can be applied to offsetting measures, including preserving existing habitat, restoring former habitat, or establishing conservation banks.

Fact Sheet↗

The National Wildlife Disease Database

The National Wildlife Disease Database (NWDD) is a national information hub that integrates wildlife disease data across jurisdictions to guide natural resource management and deliver early warnings of unusual events and emerging threats, strengthening public health preparedness and protecting the agricultural economy.

Fact Sheet↗