Performance evaluation of Tanh and AWBM rainfall-runoff models
نویسندگان
چکیده
منابع مشابه
Regionalisation of Rainfall-Runoff Models
A new approach to regionalisation for prediction of flow characteristics in ungauged catchments is presented. If flows in ungauged catchments are to be predicted using calibrated rainfall-runoff models, regional relationships between the parameters of such models and catchment attributes must be determined. This is only possible with parsimonious models (fewer than about 7 parameters), and even...
متن کاملEstimating runoff in ungauged catchments from rainfall, PET and the AWBM model
Multiple linear regressions are used to relate average annual runoff to average annual rainfall and areal potential evapotranspiration (PET) using data from 213 catchments grouped according to location in six of the major Drainage Divisions of Australia. A method is presented for estimating daily runoff from daily rainfall data using the AWBM model, which self-calibrates its surface storage par...
متن کاملSelecting parameter values for the AWBM daily rainfall-runoff model for use on ungauged catchments
A new method of calibration of the Australian Water Balance Model (AWBM) daily rainfall-runoff model allows for errors in the estimation of areal rainfall over the catchment. The result of applying the method to a group of gauged catchments is the production of a single set of parameter values for the AWBM that can be used with any catchment in the group, or used to estimate runoff on ungauged ...
متن کاملFuzzy committees of specialised rainfall-runoff models
This discussion paper is/has been under review for the journal Hydrology and Earth System Sciences (HESS). Please refer to the corresponding final paper in HESS if available. Abstract Often a single hydrological model cannot capture the details of a complex rainfall-runoff relationship, and a possibility here is building specialised models to be responsible for a particular aspect of this relat...
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ژورنال
عنوان ژورنال: IOP Conference Series: Earth and Environmental Science
سال: 2021
ISSN: 1755-1307,1755-1315
DOI: 10.1088/1755-1315/768/1/012048