Accounting for the spatial rainfall variability in urban modelling applications

In hydrological and hydrodynamic modelling of urban catchments, the spatial variability of rainfall is often neglected. This spatial variability encloses two aspects: (1) the spatial variability of the statistical properties of rainfall, and (2) the non-uniform spatial distribution of rainfall over...

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Bibliographic Details
Published in:Water science and technology 2002, Vol.45 (2), p.105-112
Main Authors: WILLEMS, P, BERLAMONT, J
Format: Article
Language:English
Subjects:
Applied sciences
Belgium, Flanders
Buildings. Public works
Catchment area
Catchments
Cities
Computer simulation
Earth, ocean, space
Environmental Monitoring
Exact sciences and technology
External geophysics
Gauges
Hydraulic constructions
Hydrodynamics
Hydrology
Meteorology
Methods
Modelling
Models, Statistical
Rain
Rainfall
Reproducibility of Results
Research projects
Rivers
Sewer systems
Spatial distribution
Spatial variations
Stochasticity
Time series
Towns
Urban catchments
Urban development
Water in the atmosphere (humidity, clouds, evaporation, precipitation)
Water Movements
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Description
Summary:In hydrological and hydrodynamic modelling of urban catchments, the spatial variability of rainfall is often neglected. This spatial variability encloses two aspects: (1) the spatial variability of the statistical properties of rainfall, and (2) the non-uniform spatial distribution of rainfall over the modelled catchments. In an ongoing research project for the Ministry of the Flemish Community (Belgium), the influence of this spatial rainfall variability on the results of modelling applications is studied. At the same time, most efficient methods to reduce this influence are determined. The results of the research can be applied directly in Flanders. They consist of a combination of unified IDF-relationships, spatial correction factors (generally applicable formulas), a stochastic simulation model for spatial rainfall (software) and a methodology for improving the spatial correction factors in a case-specific way by performing simulations with the model.
ISSN:0273-1223
1996-9732
DOI:10.2166/wst.2002.0034