Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
}
TY - JOUR
T1 - Using interactive recession curve analysis to specify a general catchment storage model.
AU - Lamb, Rob
AU - Beven, Keith J.
PY - 1997
Y1 - 1997
N2 - An analysis of hydrograph recessions can be used to identify the parameters of a conceptual catchment storage irnodel and, with the advent of large-scale digital data storage and automated logging systems, it has become desirable to automate recession curve analysis. Various studies have thus reported algorithms used to infer 'baseflow' storage models automatically from recession data. Such algorithms commonly operate by maximising the fit of measured recession data to some a priori function. Here, an alternative approach is taken in which the appropriate form for a catchment saturated zone store is investigated by combining observed recession data to form a Master Recession Curve (MRC). This is done within a software package that offers automated functions to help select recession periods suitable for inclusion within the MRC. These recession periods are combined automatically to form a "prototype" MRC, which can be modified interactively to overcome problems such as unrepresentative or sparse data. The master recession for a catchment is used to calculate an empirical catchment-averaged discharge-relative storage (QΔS) relationship. The method is considered to be general because the QΔS relationship may be of arbitrary form. Examples are given, showing the derivation for three catchments of different QΔS functions.
AB - An analysis of hydrograph recessions can be used to identify the parameters of a conceptual catchment storage irnodel and, with the advent of large-scale digital data storage and automated logging systems, it has become desirable to automate recession curve analysis. Various studies have thus reported algorithms used to infer 'baseflow' storage models automatically from recession data. Such algorithms commonly operate by maximising the fit of measured recession data to some a priori function. Here, an alternative approach is taken in which the appropriate form for a catchment saturated zone store is investigated by combining observed recession data to form a Master Recession Curve (MRC). This is done within a software package that offers automated functions to help select recession periods suitable for inclusion within the MRC. These recession periods are combined automatically to form a "prototype" MRC, which can be modified interactively to overcome problems such as unrepresentative or sparse data. The master recession for a catchment is used to calculate an empirical catchment-averaged discharge-relative storage (QΔS) relationship. The method is considered to be general because the QΔS relationship may be of arbitrary form. Examples are given, showing the derivation for three catchments of different QΔS functions.
M3 - Journal article
VL - 1
SP - 101
EP - 113
JO - Hydrology and Earth System Sciences
JF - Hydrology and Earth System Sciences
SN - 1027-5606
IS - 1
ER -