TY - JOUR
T1 - Identifying Modelling Issues through the Use of an Open Real-World Flood Dataset
AU - Bellos, Vasilis
AU - Kourtis, Ioannis
AU - Raptaki, Eirini
AU - Handrinos, Spyros
AU - Kalogiros, John
AU - Sibetheros, Ioannis A.
AU - Tsihrintzis, Vassilios A.
PY - 2022
Y1 - 2022
N2 - The present work deals with the reconstruction of the flood wave that hit Mandra town (Athens, Greece) on 15 November 2017, using the framework of forensic hydrology. The flash flood event was caused by a huge storm event with a high level of spatial and temporal variability, which was part of the Medicane Numa-Zenon. The reconstruction included: (a) the post-event collection of 44 maximum water depth traces in the town; and (b) the hydrodynamic simulation employing the HEC-RAS and MIKE FLOOD software. The derived open dataset (which also includes additional data required for hydrodynamic modeling) is shared with the community for possible use as a benchmark case for flood model developers. With regards to the modeling issues, we investigate the calibration strategies in computationally demanding cases, and test whether the calibrated parameters can be blindly transferred to another simulator (informed modeling). Regarding the calibration, it seems that the coupling of an initial screening phase with a simple grid-search algorithm is efficient. On the other hand, the informed modeling concept does not work for our study area: every numerical model has its own dynamics while the parameters are of grey-box nature. As a result, the modeler should always be skeptical about their global use.
AB - The present work deals with the reconstruction of the flood wave that hit Mandra town (Athens, Greece) on 15 November 2017, using the framework of forensic hydrology. The flash flood event was caused by a huge storm event with a high level of spatial and temporal variability, which was part of the Medicane Numa-Zenon. The reconstruction included: (a) the post-event collection of 44 maximum water depth traces in the town; and (b) the hydrodynamic simulation employing the HEC-RAS and MIKE FLOOD software. The derived open dataset (which also includes additional data required for hydrodynamic modeling) is shared with the community for possible use as a benchmark case for flood model developers. With regards to the modeling issues, we investigate the calibration strategies in computationally demanding cases, and test whether the calibrated parameters can be blindly transferred to another simulator (informed modeling). Regarding the calibration, it seems that the coupling of an initial screening phase with a simple grid-search algorithm is efficient. On the other hand, the informed modeling concept does not work for our study area: every numerical model has its own dynamics while the parameters are of grey-box nature. As a result, the modeler should always be skeptical about their global use.
KW - flood modeling
KW - forensic hydrology
KW - HEC-RAS
KW - MIKE FLOOD
KW - open dataset
UR - http://www.scopus.com/inward/record.url?scp=85141621517&partnerID=8YFLogxK
U2 - 10.3390/hydrology9110194
DO - 10.3390/hydrology9110194
M3 - Article
AN - SCOPUS:85141621517
VL - 9
JO - Hydrology
JF - Hydrology
IS - 11
M1 - 194
ER -