The effects of spatial discretization on performances and parameters of urban hydrological model

Selecting a proper spatial resolution for urban rainfall runoff modeling was not a trivial issue because it could affect the model outputs. Recently, the development of remote sensing technology and increasingly available data source had enabled rainfall runoff process to be modeled at detailed and...

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Bibliographic Details
Published in:Water science and technology 2019-08, Vol.80 (3), p.517-528
Main Authors: Chang, Qing, Kazama, So, Touge, Yoshiya, Aita, Shunsuke
Format: Article
Language:English
Subjects:
Calibration
Computation
Discretization
Drainage patterns
Floods
Geographic information systems
Hydrologic models
Hydrology
Land use
Mathematical models
Microbalances
Models, Theoretical
Packages
Parameters
R&D
Rain
Rainfall
Rainfall-runoff relationships
Remote sensing
Remote Sensing Technology
Research & development
Resolution
Runoff
Scale effect
Software
Spatial discrimination
Spatial resolution
Studies
Urban runoff
Water Movements
Water quality
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Summary:Selecting a proper spatial resolution for urban rainfall runoff modeling was not a trivial issue because it could affect the model outputs. Recently, the development of remote sensing technology and increasingly available data source had enabled rainfall runoff process to be modeled at detailed and microscales. However, the models with less complexity might have equally good performance with less model establishment and computation time. This study attempted to explore the impact of model spatial resolution on model performance and parameters. Models with different discretization degree were built up on the basis of actual drainage networks, urban parcels and specific land use. The results showed that there was very little difference in the total runoff volumes while peak flows showed obvious scale effects which could be up to 30%. Generally, model calibration could compensate the scale effect. The calibrated models with different resolution showed similar performances. The consideration of effective impervious area (EIA) as a calibration parameter marginally increased performance of the calibration period but also slightly decreased performance in the validation period which indicated the importance of detailed EIA identification.
ISSN:0273-1223
1996-9732
DOI:10.2166/wst.2019.296