A modular approach to addressing model design, scale, and parameter estimation issues in distributed hydrological modelling

2002 ◽  
Vol 16 (2) ◽  
pp. 173-187 ◽  
Author(s):  
G. H. Leavesley ◽  
S. L. Markstrom ◽  
P. J. Restrepo ◽  
R. J. Viger
Keyword(s):  
Parameter Estimation ◽  
Hydrological Modelling ◽  
Modular Approach ◽  
Model Design ◽  
Distributed Hydrological Modelling

Investigation of multiple flood mitigation strategies for an urban catchment using semi-distributed hydrological modelling

2021 ◽  
Vol 14 (15) ◽  
Author(s):  
Elanchezhiyan Duraisekaran ◽  
Tamilselvi Mohanraj ◽  
Jeciliya Selva Kiruba Samuel ◽  
Sudharsanan Rajagopalan ◽  
Ravikumar Govindasamy
Keyword(s):  
Hydrological Modelling ◽  
Mitigation Strategies ◽  
Flood Mitigation ◽  
Urban Catchment ◽  
Distributed Hydrological Modelling

Spatial scale effects on model parameter estimation and predictive uncertainty in ungauged basins

2012 ◽  
Vol 44 (3) ◽  
pp. 441-453 ◽  
Author(s):  
Denis A. Hughes ◽  
Evison Kapangaziwiri ◽  
Jane Tanner
Keyword(s):  
Parameter Estimation ◽  
Spatial Scale ◽  
Scale Effects ◽  
Physical Property ◽  
Hydrological Modelling ◽  
Ungauged Basins ◽  
Estimation Equations ◽  
Property Data ◽  
Physical Property Data ◽  
Parameter Values

The most appropriate scale to use for hydrological modelling depends on the model structure, the purpose of the results and the resolution of available data used to quantify parameter values and provide the climatic forcing. There is little consensus amongst the community of model users on the appropriate model complexity and number of model parameters that are needed for satisfactory simulations. These issues are not independent of modelling scale, the methods used to quantify parameter values, nor the purpose of use of the simulations. This paper reports on an investigation of spatial scale effects on the application of an approach to quantify the parameter values (with uncertainty) of a rainfall-runoff model with a relatively large number of parameters. The quantification approach uses estimation equations based on physical property data and is applicable to gauged and ungauged basins. Within South Africa the physical property data are available at a finer spatial resolution than is typically used for hydrological modelling. The results suggest that reducing the model spatial scale offers some advantages. Potential disadvantages are related to the need for some subjective interpretation of the available physical property data, as well as inconsistencies in some of the parameter estimation equations.

Alternative climate data sources for distributed hydrological modelling on a daily time step

2010 ◽  
Vol 25 (10) ◽  
pp. 1542-1557 ◽  
Author(s):  
Ashraf El-Sadek ◽  
Max Bleiweiss ◽  
Manoj Shukla ◽  
Steve Guldan ◽  
Alexander Fernald
Keyword(s):  
Hydrological Modelling ◽  
Data Sources ◽  
Climate Data ◽  
Time Step ◽  
Daily Time Step ◽  
Distributed Hydrological Modelling ◽  
Daily Time
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