Add to ORKGThis paper presents a method for estimating runoff coefficients of urban drainage catchments based on a combination of high resolution weather radar data and insewer flow measurements. By utilising the spatial variability of the precipitation it is possible to estimate the runoff coefficients of separate subcatchments. The method is demonstrated through a case study of an urban drainage catchment (678ha) located in the municipality of Aarhus, Denmark. The study has proven it is possible to use corresponding measurements of the relative rainfall distribution over the catchment and runoff measurements to identify the runoff coefficients at subcatchment level. The number of potential subcatchments is limited by the number of available rainfall...
Urban catchments are typically characterised by high spatial variability and fast runoff processes r...
While rainfall is the key input to most hydrological models, its precise characteristics are often u...
This study investigates the impact of rainfall estimates of different spatial resolutions on the hyd...
This paper presents a method for estimating runoff coefficients of urban drainage subcatchments base...
The paper presents the results of an analysis aimed at assessing the usefulness of rainfall intensit...
Weather radar data used for urban drainage applications are traditionally adjusted to point ground r...
Urban hydrological processes are generally characterised by short response times and therefore rainf...
In the design practice of urban hydrological systems, e.g., storm-water drainage systems, design rai...
Data for adjustment of weather radar rainfall estimations are mostly obtained from rain gauge observ...
The resolution of distributed rainfall input for drainage models is the topic of this paper. The stu...
Flood prediction is difficult in urban areas because only sparse gauge data and radar data of low ac...
The disadvantage of radar measurements is that the obtained rainfall data is imprecise. Therefore, t...
The disadvantage of radar measurements is that the obtained rainfall data is imprecise. Therefore, t...
Spatial and temporal rainfall variability play an important role in generation of pluvial flooding. ...
Spatial and temporal rainfall variability play an important role in generation of pluvial flooding. ...
Urban catchments are typically characterised by high spatial variability and fast runoff processes r...
While rainfall is the key input to most hydrological models, its precise characteristics are often u...
This study investigates the impact of rainfall estimates of different spatial resolutions on the hyd...
This paper presents a method for estimating runoff coefficients of urban drainage subcatchments base...
The paper presents the results of an analysis aimed at assessing the usefulness of rainfall intensit...
Weather radar data used for urban drainage applications are traditionally adjusted to point ground r...
Urban hydrological processes are generally characterised by short response times and therefore rainf...
In the design practice of urban hydrological systems, e.g., storm-water drainage systems, design rai...
Data for adjustment of weather radar rainfall estimations are mostly obtained from rain gauge observ...
The resolution of distributed rainfall input for drainage models is the topic of this paper. The stu...
Flood prediction is difficult in urban areas because only sparse gauge data and radar data of low ac...
The disadvantage of radar measurements is that the obtained rainfall data is imprecise. Therefore, t...
The disadvantage of radar measurements is that the obtained rainfall data is imprecise. Therefore, t...
Spatial and temporal rainfall variability play an important role in generation of pluvial flooding. ...
Spatial and temporal rainfall variability play an important role in generation of pluvial flooding. ...
Urban catchments are typically characterised by high spatial variability and fast runoff processes r...
While rainfall is the key input to most hydrological models, its precise characteristics are often u...
This study investigates the impact of rainfall estimates of different spatial resolutions on the hyd...