There is a growing interest in using radar rainfall data to evaluate the performance of urban drainage systems in near real time. This paper describes a study based on a large (55 km2) urban catchment in northern Italy. Different spatial resolutions of radar data have been compared and used as input to a numerical hydrological-hydraulic model of the drainage system, constructed by means of Infoworks CS software. The results show that the spatial resolution of weather radar data plays a significant role when modelling the hydrological behaviour of the drainage system and using different resolutions may result in significant differences in peak flows and runoff volumes
Urban catchments are typically characterised by high spatial variability and fast runoff processes r...
AbstractThis work presents the results of the implementation of a probabilistic system to model the ...
In this study high resolution precipitation data are used, derived from polarimetric X-band radar at...
There is a growing interest in using radar rainfall data to evaluate the performance of urban draina...
The resolution of distributed rainfall input for drainage models is the topic of this paper. The stu...
This study investigates the impact of rainfall estimates of different spatial resolutions on the hyd...
Cities are increasingly vulnerable to floods generated by intense rainfall, because of their high de...
This study investigates the impact of rainfall estimates of different spatial resolutions on the hyd...
International audienceThis study investigates the impact of rainfall estimates of different spatial ...
Urban hydrological applications require high resolution precipitation and catchment information in o...
While rainfall is the key input to most hydrological models, its precise characteristics are often u...
International audienceUrban catchments are typically characterised by high spatial variability and f...
Urban hydrological processes are generally characterised by short response times and therefore rainf...
Contemporary sewer system operation heavily relies on urban drainage model results. In a case study ...
SummaryUrban catchments are typically characterised by high spatial variability and fast runoff proc...
Urban catchments are typically characterised by high spatial variability and fast runoff processes r...
AbstractThis work presents the results of the implementation of a probabilistic system to model the ...
In this study high resolution precipitation data are used, derived from polarimetric X-band radar at...
There is a growing interest in using radar rainfall data to evaluate the performance of urban draina...
The resolution of distributed rainfall input for drainage models is the topic of this paper. The stu...
This study investigates the impact of rainfall estimates of different spatial resolutions on the hyd...
Cities are increasingly vulnerable to floods generated by intense rainfall, because of their high de...
This study investigates the impact of rainfall estimates of different spatial resolutions on the hyd...
International audienceThis study investigates the impact of rainfall estimates of different spatial ...
Urban hydrological applications require high resolution precipitation and catchment information in o...
While rainfall is the key input to most hydrological models, its precise characteristics are often u...
International audienceUrban catchments are typically characterised by high spatial variability and f...
Urban hydrological processes are generally characterised by short response times and therefore rainf...
Contemporary sewer system operation heavily relies on urban drainage model results. In a case study ...
SummaryUrban catchments are typically characterised by high spatial variability and fast runoff proc...
Urban catchments are typically characterised by high spatial variability and fast runoff processes r...
AbstractThis work presents the results of the implementation of a probabilistic system to model the ...
In this study high resolution precipitation data are used, derived from polarimetric X-band radar at...