TY - JOUR
T1 - Multi-hydro hydrological modelling of a complex peri-urban catchment with storage basins comparing C-band and X-band radar rainfall data
AU - Alves de Souza, Bianca
AU - da Silva Rocha Paz, Igor
AU - Ichiba, Abdellah
AU - Willinger, Bernard
AU - Gires, Auguste
AU - Amorim, Jose Carlos Cesar
AU - de Miranda Reis, Marcelo
AU - Tisserand, Bruno
AU - Tchiguirinskaia, Ioulia
AU - Schertzer, Daniel
N1 - Publisher Copyright:
© 2018, © 2018 IAHS.
PY - 2018/8/18
Y1 - 2018/8/18
N2 - The spread of impervious surfaces in urban areas combined with the rise in the intensity of rainfall events as a result of climate change has led to dangerous increases in storm water flows. This paper discusses a new implementation of the fully distributed hydrological model Multi-Hydro (developed at École des Ponts ParisTech), when operating storage basins, and its ability to deal with high-resolution radar rainfall data. The peri-urban area of Massy (south of Paris, France) was selected as a case study for having six of these drainage facilities, used extensively in flood control. Two radar rainfall datasets with different spatiotemporal resolutions were used: Météo-France’s PANTHER rainfall product (C-band) and ENPC’s X-band DPSRI. The rainfall spatiotemporal variability was analysed statistically using Universal Multifractals (UM). Finally, to validate the application, the water level simulations were compared with local measurements in the Cora storage basin located next to the catchment’s single outlet.
AB - The spread of impervious surfaces in urban areas combined with the rise in the intensity of rainfall events as a result of climate change has led to dangerous increases in storm water flows. This paper discusses a new implementation of the fully distributed hydrological model Multi-Hydro (developed at École des Ponts ParisTech), when operating storage basins, and its ability to deal with high-resolution radar rainfall data. The peri-urban area of Massy (south of Paris, France) was selected as a case study for having six of these drainage facilities, used extensively in flood control. Two radar rainfall datasets with different spatiotemporal resolutions were used: Météo-France’s PANTHER rainfall product (C-band) and ENPC’s X-band DPSRI. The rainfall spatiotemporal variability was analysed statistically using Universal Multifractals (UM). Finally, to validate the application, the water level simulations were compared with local measurements in the Cora storage basin located next to the catchment’s single outlet.
KW - X-band radar
KW - fully distributed model
KW - multifractals
KW - rainfall
KW - spatiotemporal variability
UR - https://www.scopus.com/pages/publications/85054787789
U2 - 10.1080/02626667.2018.1520390
DO - 10.1080/02626667.2018.1520390
M3 - Article
AN - SCOPUS:85054787789
SN - 0262-6667
VL - 63
SP - 1619
EP - 1635
JO - Hydrological Sciences Journal
JF - Hydrological Sciences Journal
IS - 11
ER -