Investigating the linkage between streamflow recession rates and channel network contraction in a mesoscale catchment in New York state

The rate of recession (dQ/dt) in a given time interval has long been plotted in log–log space against the concurrent mean discharge (Qavg). Recent interpretations of these dQ/dt–Qavg plots have sought to look at curves for individual events instead of the data cloud from all the data points together. These individual recession curves have been observed to have near-constant slope but to have varying intercepts, features hypothesized to possibly be explained by the nature of the contraction of the active channel network during recession. For a steep, 150-ha forested catchment in central New York state with an 8.8-km channel network, changes in the active channel network were mapped between April and November 2013. Streamflow recession occurred in a matter of days, but changes in the active channel network occurred over a matter of weeks. Thus, in this catchment, it does not appear that channel contraction directly controls recession. Additionally, field observations indicate that dry down did not occur in a spatially organized, sequential way such that the upper end of higher-order streams dried first. Instead, the location of groundwater seeps, in part, controlled the active portion of the channel network. Consistent with the presence of different types of flow contributing zones, the paper presents a conceptual model that consists of multiple parallel reservoirs of varying drainage rate and varying degrees of recharge at different times of the year. This conceptual model is able to reproduce a slope of 2 and a seasonal shift in intercept typical of individual recession curves. Copyright © 2015 John Wiley & Sons, Ltd.

[1]  James P. McNamara,et al.  Storage as a Metric of Catchment Comparison , 2011 .

[2]  S. Riha,et al.  Examining individual recession events instead of a data cloud: Using a modified interpretation of dQ/dt-Q streamflow recession in glaciated watersheds to better inform models of low flow , 2012 .

[3]  N. Verhoest,et al.  The importance of hydraulic groundwater theory in catchment hydrology: The legacy of Wilfried Brutsaert and Jean‐Yves Parlange , 2013 .

[4]  D. Weyman,et al.  THROUGHFLOW ON HILLSLOPES AND ITS RELATION TO THE STREAM HYDROGRAPH , 1970 .

[5]  Kevin J. McGuire,et al.  Topographic controls on shallow groundwater dynamics: implications of hydrologic connectivity between hillslopes and riparian zones in a till mantled catchment , 2010 .

[6]  Peter S. Murdoch,et al.  Effect of groundwater springs on NO3− concentrations during summer in Catskill Mountain streams , 1998 .

[7]  Richard M. Vogel,et al.  Regional geohydrologic‐geomorphic relationships for the estimation of low‐flow statistics , 1992 .

[8]  H. Wittenberg Baseflow recession and recharge as nonlinear storage processes , 1999 .

[9]  R. D. Black,et al.  Partial Area Contributions to Storm Runoff in a Small New England Watershed , 1970 .

[10]  O. W. Archibold,et al.  VARIATION OF DRAINAGE DENSITY IN A SMALL BRITISH COLUMBIA WATERSHED1 , 1978 .

[11]  Jeffrey J. McDonnell,et al.  Threshold relations in subsurface stormflow: 2. The fill and spill hypothesis , 2006 .

[12]  Marco Marani,et al.  Geomorphological origin of recession curves , 2010 .

[13]  Martyn P. Clark,et al.  Hydrological field data from a modeller's perspective: Part 1. Diagnostic tests for model structure , 2011 .

[14]  Michael N. Gooseff,et al.  Exploring changes in the spatial distribution of stream baseflow generation during a seasonal recession , 2012 .

[15]  J. Kirchner Catchments as simple dynamical systems: Catchment characterization, rainfall‐runoff modeling, and doing hydrology backward , 2009 .

[16]  Marco Marani,et al.  ‘Universal’ recession curves and their geomorphological interpretation , 2014 .

[17]  Henry Lin,et al.  Changing controls of soil moisture spatial organization in the Shale Hills Catchment , 2012 .

[18]  J. McDonnell,et al.  A field‐based study of soil water and groundwater nitrate release in an Adirondack forested watershed , 2002 .

[19]  John L. Nieber,et al.  Regionalized drought flow hydrographs from a mature glaciated plateau , 1977 .

[20]  Dingbao Wang,et al.  Evaluating the effect of partial contributing storage on the storage-discharge function from recession analysis , 2013 .

[21]  Dmitri Kavetski,et al.  Hydrological field data from a modeller's perspective: Part 2: process‐based evaluation of model hypotheses , 2011 .

[22]  Klement Tockner,et al.  Emerging concepts in temporary‐river ecology , 2010 .

[23]  W. Krajewski,et al.  Recession analysis across scales: The impact of both random and nonrandom spatial variability on aggregated hydrologic response , 2015 .

[24]  J. Rodda,et al.  A stream length study , 1973 .

[25]  D. Benson,et al.  Particle tracking and the diffusion‐reaction equation , 2013 .

[26]  John W. Pomeroy,et al.  Connectivity and runoff dynamics in heterogeneous basins , 2011 .

[27]  James M. Buttle,et al.  Hydrologic coupling of slopes, riparian zones and streams: an example from the Canadian Shield , 2004 .

[28]  Dingbao Wang On the base flow recession at the Panola Mountain Research Watershed, Georgia, United States , 2011 .

[29]  M. Zimmer,et al.  Fine scale variations of surface water chemistry in an ephemeral to perennial drainage network , 2013 .

[30]  Ximing Cai,et al.  Recession slope curve analysis under human interferences , 2010 .

[31]  M. O’Driscoll,et al.  Seeps regulate stream nitrate concentration in a forested Appalachian catchment. , 2010, Journal of environmental quality.

[32]  P. J. Wigington,et al.  Stream network expansion: a riparian water quality factor , 2005 .

[33]  Genevieve Ali,et al.  Linking spatial patterns of perched groundwater storage and stormflow generation processes in a headwater forested catchment , 2011 .

[34]  K. Fritz,et al.  Physical indicators of hydrologic permanence in forested headwater streams , 2008, Journal of the North American Benthological Society.

[35]  Martyn P. Clark,et al.  Spatial variability of hydrological processes and model structure diagnostics in a 50 km2 catchment , 2014 .

[36]  E. Martí,et al.  Contraction, fragmentation and expansion dynamics determine nutrient availability in a Mediterranean forest stream , 2011, Aquatic Sciences.

[37]  T. C. Winter,et al.  Ground Water and Surface Water: A Single Resource , 1999 .

[38]  D. G. Day,et al.  Drainage density changes during rainfall , 1978 .

[39]  Hubert H. G. Savenije,et al.  Is the groundwater reservoir linear? Learning from data in hydrological modelling , 2005 .

[40]  R. Moore Storage-outflow modelling of streamflow recessions, with application to a shallow-soil forested catchment , 1997 .

[41]  D. Kumar,et al.  What mainly controls recession flows in river basins , 2014 .

[42]  Desmond E. Walling,et al.  THE VARIATION OF DRAINAGE DENSITY WITHIN A CATCHMENT , 1968 .

[43]  Harold F. Hemond,et al.  Spatial and temporal variability in streamflow generation on the West Fork of Walker Branch Watershed , 1993 .

[44]  J. Freer,et al.  Consistency between hydrological models and field observations: linking processes at the hillslope scale to hydrological responses at the watershed scale , 2009 .

[45]  James W. Kirchner,et al.  Dynamic, discontinuous stream networks: hydrologically driven variations in active drainage density, flowing channels and stream order , 2014 .

[46]  A. Hope,et al.  Inter-seasonal variability in baseflow recession rates: The role of aquifer antecedent storage in central California watersheds , 2014 .

[47]  G. Destouni,et al.  Dissecting the variable source area concept - Subsurface flow pathways and water mixing processes in a hillslope , 2012 .

[48]  P. Whitfield,et al.  An Overview of Temporary Stream Hydrology in Canada , 2012 .