ABSTRACTClimate change and the modification of urban environment increase the frequencyand the impact of flooding rising the interest of researchers and practitioners onthis topic. Usually flooding frequency analysis in urban areas are indirectly carriedout by adopting advanced hydraulic models to simulate long historical rainfallseries or design storms. However their results are affected by a grade of uncertaintywhich has been much investigated in recent years. One of the most critical sourceof uncertainty inherent to hydraulic model results is linked to the imperfectknowledge of the rainfall input data both in time and space. Several studies showthat hydrological modelling in urban area needs that rainfall data have fineresolution in time and space. The present study aims to analyse the effect of theresolution of rainfall input both in space and in time. The analysis used floodingdepths and damage as references to assess the impact of rainfall knowledge onurban flooding modelling results. To this aims, with regard to a case study, themaximum efficiency conditions for the model and the uncertainty affecting urbanflooding modelling results were evaluated by the means of GLUE analysis and theadded value provided by the adoption of finer temporal and spatial resolutions wereassessed.
|Numero di pagine||0|
|Stato di pubblicazione||Published - 2012|