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Methods for estimating streamflow at mountain fronts in southern New Mexico
The infiltration of streamflow is potential recharge to alluvial-basin aquifers at or near mountain fronts in southern New Mexico. Data for 13 streamflow-gaging stations were used to determine a relation between mean annual stream- flow and basin and climatic conditions. Regression analysis was used to develop an equation that can be used to estimate mean annual streamflow on the basis of drainage areas and mean annual precipi- tation. The average standard error of estimate for this equation is 46 percent. Regression analysis also was used to develop an equation to estimate mean annual streamflow on the basis of active- channel width. Measurements of the width of active channels were determined for 6 of the 13 gaging stations. The average standard error of estimate for this relation is 29 percent. Stream- flow estimates made using a regression equation based on channel geometry are considered more reliable than estimates made from an equation based on regional relations of basin and climatic conditions. The sample size used to develop these relations was small, however, and the reported standard error of estimate may not represent that of the entire population. Active-channel-width measurements were made at 23 ungaged sites along the Rio Grande upstream from Elephant Butte Reservoir. Data for additional sites would be needed for a more comprehensive assessment of mean annual streamflow in southern New Mexico.
Suggested Citation
Waltemeyer, S., 1994, Methods for estimating streamflow at mountain fronts in southern New Mexico: U.S. Geological Survey Water-Resources Investigations Report 93-4213, iv, 17 p. :ill., maps ;28 cm., https://doi.org/10.3133/wri934213.
Publication type
Report
Publication Subtype
USGS Numbered Series
Title
Methods for estimating streamflow at mountain fronts in southern New Mexico
Series title
Water-Resources Investigations Report
Series number
93-4213
DOI
10.3133/wri934213
Year Published
1994
Language
ENGLISH
Publisher
U.S. Geological Survey ;
USGS Earth Science Information Center, Open-File Reports Section [distributor],