In urban drainage modeling long term extreme statistics has become an important basis for decision-making e.g. in connection with renovation projects. Therefore it is of great importance to minimize the uncertainties concerning long term prediction of maximum water levels and combined sewer overflow (CSO) in drainage systems. These uncertainties originate from large uncertainties regarding rainfall inputs, parameters, and assessment of return periods. This paper investigates how the choice of rainfall time series influences the extreme events statistics of max water levels in manholes and CSO volumes. Traditionally it is rarely to dispose of long term rainfall time series from a local catchment rain gauge. In the present case study this is actually the case. 2 rainfall gauges have recorded events for approximately 9 years at 2 locations within the catchment. Beside these 2 gauges another 7 gauges are located at a distance of max 20 kilometers from the catchment. All gauges are included in the Danish national rain gauge system which was launched in 1976. The paper describes to what extent the extreme events statistics based on these 9 series diverge from each other and how this diversity can be handled. All simulations are performed by means of the MOUSE LTS model.
|Titel||Confernce Proceedings : 11th International Conference on Urban Drainage : Edinburgh International Conference Centre, Scotland : 11 ICUD: 31st August - 5th September 2008|
|Status||Udgivet - 2008|
|Begivenhed||The International Conference on Urban Drainage - Edinburgh, Storbritannien|
Varighed: 31 aug. 2008 → 5 sep. 2008
Konferencens nummer: 11
|Konference||The International Conference on Urban Drainage|
|Periode||31/08/2008 → 05/09/2008|