Geologic controls on ground-water storage and base flow

Farvolden, R. N.

doi:10.1016/0022-1694(63)90004-0

Cited by 56 publications

(40 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Zecharias and Brutsaert [] noted that watershed characteristics such as basin slope, defined as the inclination angle of the impermeable layer underlying a hillslope, and drainage density explained greater variability in K b as compared to other watershed characteristics such as aquifer area percentages ( α % ) and spatially heterogeneous properties such as hydraulic conductivity ( k ) and aquifer porosity ( f ). Farvolden [] identified a similar geologic and geomorphologic dependence to K b which was found to vary with stream channel depth and drainage density while being inversely proportional to basin relief ratios, a nondimensional ratio developed by Schumm [] which provides information concerning the steepness of a basin. Farvolden [] also identified a weak correlation between K b and the aridity ratio for arid watersheds.…”

Section: Introductionmentioning

confidence: 99%

Estimation of the base flow recession constant under human interference

Thomas

Vogel

Kroll

et al. 2013

Water Resources Research

View full text Add to dashboard Cite

[1] The base flow recession constant, K b , is used to characterize the interaction of groundwater and surface water systems. Estimation of K b is critical in many studies including rainfall-runoff modeling, estimation of low flow statistics at ungaged locations, and base flow separation methods. The performance of several estimators of K b are compared, including several new approaches which account for the impact of human withdrawals. A traditional semilog estimation approach adapted to incorporate the influence of human withdrawals was preferred over other derivative-based estimators. Human withdrawals are shown to have a significant impact on the estimation of base flow recessions, even when withdrawals are relatively small. Regional regression models are developed to relate seasonal estimates of K b to physical, climatic, and anthropogenic characteristics of stream-aquifer systems. Among the factors considered for explaining the behavior of K b , both drainage density and human withdrawals have significant and similar explanatory power. We document the importance of incorporating human withdrawals into models of the base flow recession response of a watershed and the systemic downward bias associated with estimates of K b obtained without consideration of human withdrawals.

show abstract

Section: Introductionmentioning

confidence: 99%

Estimation of the base flow recession constant under human interference

Thomas

Vogel

Kroll

et al. 2013

Water Resources Research

View full text Add to dashboard Cite

show abstract

“…The physical and climate characteristics of the basins used to derive mathematical expressions for low fl ow should be similar to the ungauged basin of interest. Farvolden (1963) notes that given similar climate there are differences in geology, topography, land use and vegetation within basins that are responsible for differences in basin hydrology. These differences between basins must be identifi ed and assigned mathematical values as predictor variables to be useful for regression analysis.…”

Section: Regional Modelmentioning

confidence: 99%

Regional Low Flow Frequency Relations for Central Ontario

McLean¹,

Watt²

2005

Canadian Water Resources Journal

View full text Add to dashboard Cite

Reliable regional low fl ow frequency relations were developed for central Ontario using two easily determined parameters: basin area and a dimensionless basefl ow index. Regression models were developed for two measures of low fl ow: the median 7-day low fl ow and the ratio of the 20-year to the median 7-day low fl ow. The dependent variables were determined from single station low fl ow frequency analyses of 7-day low fl ow series at 38 hydrometric stations in central Ontario that are classifi ed as natural fl ow. A second model for predicting median 7-day low fl ow was derived using three physically based parameters as predictor variables: area, mean basin slope and the area of permeable soil. Use of these physically based parameters is a promising alternative to using the basefl ow index. While the models described apply only to the region for which they were developed, and only within specifi c ranges of predictor variables, the approach described could be used in other areas.

show abstract

“…The relationship between various morphometric parameters and the abovementioned factors are well recognized by various geomorphologists (Rich, 1916;Wenthworth, 1930;Horton, 1932;Strahler, 1952;Taylor & Schwarz, 1952;Potter, 1957;Schumm, 1956;Chorley, 1957;Hack, 1957;Melton, 1958;Farvolden, 1963 Surkan, 1967;Faniran, 1968;Mueller, 1968;Black, 1972;Moore & Thornes, 1976;Patton & Baker, 1976;Pareta, 2004). They have documented that relations are very significant between hydrological characteristics, geological and geomorphic characteristics of river basin system.…”

Section: Morphometric Analysismentioning

confidence: 99%

Geomorphological Analysis and Hydrological Potential Zone of Baira River Watershed, Churah in Chamba District of Himachal Pradesh, India

Pareta¹,

Pareta

2017

IJOST

View full text Add to dashboard Cite

In the present study, an attempt has been made to study the quantitative geomorphological analysis and hydrological characterization of 95 micro-watersheds (MWS) of Baira river watershed in Himachal Pradesh, India with an area of 425.25 Km2. First time in the world, total 173 morphometric parameters have been generated in a single watershed using satellite remote sensing data (i.e. IRS-P6 ResourceSAT-1 LISS-III, LandSAT-7 ETM+, and LandSAT-8 PAN & OLI merge data), digital elevation models (i.e. IRS-P5 CartoSAT-1 DEM, ASTER DEM data), and soI topographical maps of 1: 50,000 scale. The ninety-five micro-watersheds (MWS) of Baira river watershed have been prioritized through the morphometric analysis of different morphometric parameters (i.e. drainage network, basin geometry, drainage texture analysis, and relief characterizes ). The study has concurrently established the importance of geomorphometry as well as the utility of remote sensing and GIS technology for hydrological characterization of the watershed and there for better resource and environmental managements.

show abstract

Geologic controls on ground-water storage and base flow

Cited by 56 publications

References 8 publications

Estimation of the base flow recession constant under human interference

Estimation of the base flow recession constant under human interference

Regional Low Flow Frequency Relations for Central Ontario

Geomorphological Analysis and Hydrological Potential Zone of Baira River Watershed, Churah in Chamba District of Himachal Pradesh, India

Contact Info

Product

Resources

About