Baseflow recession and recharge as nonlinear storage processes
Research output: Journal contributions › Conference article in journal › Research › peer-review
Standard
In: Hydrological Processes, Vol. 13, No. 5, 15.04.1999, p. 715-726.
Research output: Journal contributions › Conference article in journal › Research › peer-review
Harvard
APA
Vancouver
Bibtex
}
RIS
TY - JOUR
T1 - Baseflow recession and recharge as nonlinear storage processes
AU - Wittenberg, Hartmut
PY - 1999/4/15
Y1 - 1999/4/15
N2 - Discharge in many rivers is often fed by outflow from a shallow groundwater reservoir. It is becoming clear that the outflow from this aquifer is not linearly proportional to storage as is commonly assumed in many algorithms. Numerical analysis of flow recession curves from about 100 river gauging stations instead reveals a nonlinear relationship between baseflow, Q, and storage, S, for which the equation S = aQb was adopted. Values of the exponent b are found by calibration to be between 0 and 1 but with a high concentration around 0.5, which is in accordance with the findings of other studies and theoretical approaches yielding b = 0.5 for unconfined aquifers and relating the coefficient a to catchment properties, primarily area and shape of basin, pore volume and transmissivity. This non-linear reservoir function is proposed as a more realistic alternative to the linear reservoir function. The relatively fast response of groundwater flow to rainfall is mainly a result of the increase of hydraulic head of the groundwater reservoir accelerating the exfiltration of 'old', pre-event water into the river bed. As fissure and pore volumes communicate hydraulically, it appears physically reasonable to model the system by one non-linear reservoir for catchments, or parts of them, instead of applying independent parallel linear reservoirs. The non-linear reservoir algorithms are supported by an analytical derivation. They are extended for the automatic separation of baseflow from a time-series of daily discharge in rivers and the computation of storage and effective recharge of groundwater in river basins by inverse nonlinear reservoir routing. The time-series obtained allow the identification and quantification of long-term changes to the water balance. Relationships between computed groundwater storage and observed groundwater level can also be established.
AB - Discharge in many rivers is often fed by outflow from a shallow groundwater reservoir. It is becoming clear that the outflow from this aquifer is not linearly proportional to storage as is commonly assumed in many algorithms. Numerical analysis of flow recession curves from about 100 river gauging stations instead reveals a nonlinear relationship between baseflow, Q, and storage, S, for which the equation S = aQb was adopted. Values of the exponent b are found by calibration to be between 0 and 1 but with a high concentration around 0.5, which is in accordance with the findings of other studies and theoretical approaches yielding b = 0.5 for unconfined aquifers and relating the coefficient a to catchment properties, primarily area and shape of basin, pore volume and transmissivity. This non-linear reservoir function is proposed as a more realistic alternative to the linear reservoir function. The relatively fast response of groundwater flow to rainfall is mainly a result of the increase of hydraulic head of the groundwater reservoir accelerating the exfiltration of 'old', pre-event water into the river bed. As fissure and pore volumes communicate hydraulically, it appears physically reasonable to model the system by one non-linear reservoir for catchments, or parts of them, instead of applying independent parallel linear reservoirs. The non-linear reservoir algorithms are supported by an analytical derivation. They are extended for the automatic separation of baseflow from a time-series of daily discharge in rivers and the computation of storage and effective recharge of groundwater in river basins by inverse nonlinear reservoir routing. The time-series obtained allow the identification and quantification of long-term changes to the water balance. Relationships between computed groundwater storage and observed groundwater level can also be established.
KW - Baseflow recession
KW - Baseflow separation
KW - Groundwater recharge
KW - Nonlinear reservoir
KW - Engineering
UR - http://www.scopus.com/inward/record.url?scp=0033561564&partnerID=8YFLogxK
U2 - 10.1002/(SICI)1099-1085(19990415)13:5<715::AID-HYP775>3.0.CO;2-N
DO - 10.1002/(SICI)1099-1085(19990415)13:5<715::AID-HYP775>3.0.CO;2-N
M3 - Conference article in journal
AN - SCOPUS:0033561564
VL - 13
SP - 715
EP - 726
JO - Hydrological Processes
JF - Hydrological Processes
SN - 0885-6087
IS - 5
T2 - International Congress on Modelling and Simulation- MODSIM-97
Y2 - 8 December 1997 through 11 December 1997
ER -