Towards a high resolution stochastic rainfall generator for urban applications

Abstract:

Traditionally, urban hydrological applications rely on spatially-uniform rainfall estimates derived from point measurements. However, several studies indicated that the performance of urban runoff and drainage simulations may largely depend upon the spatial and temporal variability of the rainfall input and that, therefore, rainfall input at high spatial and temporal resolutions is required. Historical data with such resolutions are, however, short in time. For this reason, long-term synthetic rainfall data generated by a stochastic model, accurately representing the real spatial-temporal rainfall properties, would be very beneficial. Such generated data is not constrained by the length of available historical data, hence would provide a better basis for urban-scale applications, such as urban pluvial flood risk analysis and urban drainage design. For this purpose, the early stages towards a development of a stochastic spatial-temporal rainfall generator for urban hydrological applications are presented in this work. The spatial stochastic generator for small spatial scales presented by Willems (2001) is employed as the starting point.

Año de publicación:

2015

Keywords:

Fuente:

scopus