Analyze the document Details on article
| Id | 2893 | |
| Author | Ball J.E. |
|
| Title | Modelling accuracy for urban design flood estimation | |
| Reference | Ball J.E. Modelling accuracy for urban design flood estimation,Urban Water Journal 19 1 |
Keywords | accuracy assessment; calibration; catchment; error analysis; estimation method; flood frequency; hazard management; model test; model validation; modeling; peak flow; quantitative analysis; risk assessment; urban design |
| Link to article | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85111692067&doi=10.1080%2f1573062X.2021.1955283&partnerID=40&md5=f322a262ac9d53d48a65940461e5eaca |
|
| Abstract | Management of flood risk remains a major problem in many urban environments. To generate the data needed for estimation of the flood risk, catchment models have been used with the reliability of the predicted catchment response for design flood estimation dependent upon the model calibration. However, the level of calibration required to achieve reliable design flood estimation remains unspecified. The purpose of this paper is to assess the event modelling accuracy needed if data from the calibrated model are to be used for continuous simulation of data for flood frequency analysis. For this purpose, a SWMM-based catchment model was investigated using 25 monitored events, while the assessment of the calibration was based on a normalised peak flow error. Alternative sets of parameter values were used to obtain estimates of the peak flow for each of the selected events. The best performing sets of these sets of parameter values were used with SWMM in a continuous simulation mode to predict flow sequences for extraction of Annual Maxima Series for an At-Site Flood Frequency Analysis. From the analysis of these At-Site Flood Frequency Analyses, it was concluded that the normalised peak flow error needed to be less than 10% if reliable design flood quantile estimates were to be obtained. © 2021 Informa UK Limited, trading as Taylor & Francis Group. |
|
| Metodology | ||
| DOI | 10.1080/1573062X.2021.1955283 | |
| Search Database | Scopus |
|
| Technique | ||
MESOC has received funding
from Horizon 2020 - the EU Framework Programme
for Research and Innovation (2014-2020) -
under Grant Agreement n°870935.
We take your privacy seriously and WE DO NOT process any personal data or any information that reveals personal identity or information that can be linked to such information to identify directly or indirectly.
2021 © CD