Presentation is loading. Please wait.

Presentation is loading. Please wait.

Modelling the rainfall-runoff process

Similar presentations

Presentation on theme: "Modelling the rainfall-runoff process"— Presentation transcript:

1 Modelling the rainfall-runoff process
Available Rainfall Runoff (RR) models: UHM NAM SMAP URBAN

2 Modelling the rainfall-runoff process (NAM)

3 NAM : “nedbør-afstrømnings model”
Describes the land phase of the hydrological cycle The NAM is a lumped, conceptual model: lumped catchment regarded as one unit. parameters are average values conceptual based on considerations of the physical processes Similar models: Stanford, SSARR, HBV, SMAR,..

4 Types of Application General hydrological analysis
- runoff distribution - estimates of infiltration / evaporation Flood Forecasting - subcatchment inflow to river model - links to meteorological models Extension of streamflow records - advanced gap-filling - improved basis for extreme value analysis etc. Prediction of low flow - for irrigation management - for water quality control

5 The NAM Model equations

6 NAM, Initial conditions
Data to be specified: Initial Water Content of Surface and Root zone storages Initial values for Overland flow and Interflow Initial Groundwater Depth Recommended to disregard the first half year or so of the results to eliminate erroneous Initial Conditions!

7 NAM, Model Calibration Most NAM Parameters of empirical nature => values must be determined by Calibration: Water balance in system Runoff hydrographs, peak and shape Comparison of Runoff results with observations Generally recommended to change only one parameter between each run !

8 NAM, Model Calibration 1. Manual Step-by-step procedure (changing one variable at a time) 2. Autocalibration Automatic optimisation routine using multi-objective optimisation strategy objectives: 1) Overall Volume error (= water balance) 2) Overall root mean square error (= hydrograph shape) 3) average root mean square error of peak flow events 4) average root mean square error of low flow events Easy to use - BUT EVALUATION OF VARIABLE VALUES REQUIRED TO JUDGE HYDROLOGICAL SENSIBILITY

9 NAM simulation, Liver creek

10 RR Parameter editor Editing of Model-specific parameters for Rural Catchments : NAM Model-specific parameters comprise: Surface, Root-zone and Snow melt data Ground water data Initial Conditions Irrigated Area Editor-file: *.rr11

11 RR Parameter editor (NAM)
Example: Surface-Rootzone variables

12 RR Input to HD Simulation
Inclusion of Runoff results in River model: 1) RR-simulation (produce RR Result-file) 2) Specify Catchment definitions in Network Editor (input to single points or distributed along reach) 3) Specify RR Result-filename in Simulation Editor

Download ppt "Modelling the rainfall-runoff process"

Similar presentations

Ads by Google