Articles | Volume 21, issue 5
https://doi.org/10.5194/hess-21-2361-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Special issue:
https://doi.org/10.5194/hess-21-2361-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
08 May 2017
Research article |
| 08 May 2017
Fractal analysis of urban catchments and their representation in semi-distributed models: imperviousness and sewer system
HMCo, École des Ponts, UPE, Champs-sur-Marne, France
Ioulia Tchiguirinskaia
HMCo, École des Ponts, UPE, Champs-sur-Marne, France
Daniel Schertzer
HMCo, École des Ponts, UPE, Champs-sur-Marne, France
Susana Ochoa-Rodriguez
Urban Water Research Group, Department of Civil and Environmental
Engineering, Imperial College London, Skempton Building, London SW7 2AZ, UK
Patrick Willems
Hydraulics Laboratory, KU Leuven, 3001, Heverlee (Leuven), Belgium
Abdellah Ichiba
HMCo, École des Ponts, UPE, Champs-sur-Marne, France
Conseil Départemental du Val-de-Marne, Direction des Services de
l'Environnement et de l'Assainissement (DSEA), Bonneuil-sur-Marne, 94381,
France
Li-Pen Wang
Hydraulics Laboratory, KU Leuven, 3001, Heverlee (Leuven), Belgium
Rui Pina
Urban Water Research Group, Department of Civil and Environmental
Engineering, Imperial College London, Skempton Building, London SW7 2AZ, UK
Johan Van Assel
Aquafin NV, Dijkstraat 8, 2630 Aartselaar, Belgium
Guendalina Bruni
Water Management Department, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, the
Netherlands
Damian Murla Tuyls
Hydraulics Laboratory, KU Leuven, 3001, Heverlee (Leuven), Belgium
Marie-Claire ten Veldhuis
Water Management Department, Delft University of Technology, P.O. Box 5048, 2600 GA Delft, the
Netherlands
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17 citations as recorded by crossref.
- Rain gauge networks’ limitations and the implications to hydrological modelling highlighted with a X-band radar I. Paz et al. 10.1016/j.jhydrol.2020.124615
- Morphometric properties, scaling laws and hydrologic response of the Greater Paris combined sewer system M. Achour et al. 10.1002/hyp.14984
- Scale effects of physically based TOPKAPI model in reservoir inflow flood forecasting for ungauged basins Y. Sheng et al. 10.1016/j.ejrh.2024.102104
- Spatial Diagnosis of Rain Gauges’ Distribution and Flood Impacts: Case Study in Itaperuna, Rio de Janeiro—Brazil P. Campos & I. Paz 10.3390/w12041120
- Space variability impacts on hydrological responses of nature-based solutions and the resulting uncertainty: a case study of Guyancourt (France) Y. Qiu et al. 10.5194/hess-25-3137-2021
- River networks evolution under multiple stresses: A geometric and structural fractal perspective Y. Dong et al. 10.1016/j.jclepro.2024.141411
- Joint multifractal spectrum analysis for characterizing the nonlinear relationship among hydrological variables Z. Bai et al. 10.1016/j.jhydrol.2019.06.030
- Fractal analysis of green roof spatial implementation in European cities P. Versini et al. 10.1016/j.ufug.2020.126629
- Infilling missing data of binary geophysical fields using scale invariant properties through an application to imperviousness in urban areas A. Gires et al. 10.1080/02626667.2021.1925121
- Multifractal characterisation of a simulated surface flow: A case study with Multi-Hydro in Jouy-en-Josas, France A. Gires et al. 10.1016/j.jhydrol.2018.01.062
- Application of fractal and multifractal analysis on Blue Nile drainage patterns in the morphostructural analysis of the Ethiopian highlands, Ethiopia M. Kusák 10.1177/03091333211059419
- Integrated model for the fast assessment of flood volume: Modelling – management, uncertainty and sensitivity analysis B. Szeląg et al. 10.1016/j.jhydrol.2023.129967
- Evaluating the performance of hydrological models with joint multifractal spectra Z. Bai et al. 10.1080/02626667.2022.2114834
- Scale effect challenges in urban hydrology highlighted with a distributed hydrological model A. Ichiba et al. 10.5194/hess-22-331-2018
- Multifractal Analysis of River Networks in an Urban Catchment on the Taihu Plain, China J. Xiang et al. 10.3390/w11112283
- Enhancing SWAT with remotely sensed LAI for improved modelling of ecohydrological process in subtropics T. Ma et al. 10.1016/j.jhydrol.2019.01.024
- Hydraulic Characterization of River Networks Based on Flow Patterns Simulated by 2‐D Shallow Water Modeling: Scaling Properties, Multifractal Interpretation, and Perspectives for Channel Heads Detection P. Costabile et al. 10.1029/2018WR024083
17 citations as recorded by crossref.
- Rain gauge networks’ limitations and the implications to hydrological modelling highlighted with a X-band radar I. Paz et al. 10.1016/j.jhydrol.2020.124615
- Morphometric properties, scaling laws and hydrologic response of the Greater Paris combined sewer system M. Achour et al. 10.1002/hyp.14984
- Scale effects of physically based TOPKAPI model in reservoir inflow flood forecasting for ungauged basins Y. Sheng et al. 10.1016/j.ejrh.2024.102104
- Spatial Diagnosis of Rain Gauges’ Distribution and Flood Impacts: Case Study in Itaperuna, Rio de Janeiro—Brazil P. Campos & I. Paz 10.3390/w12041120
- Space variability impacts on hydrological responses of nature-based solutions and the resulting uncertainty: a case study of Guyancourt (France) Y. Qiu et al. 10.5194/hess-25-3137-2021
- River networks evolution under multiple stresses: A geometric and structural fractal perspective Y. Dong et al. 10.1016/j.jclepro.2024.141411
- Joint multifractal spectrum analysis for characterizing the nonlinear relationship among hydrological variables Z. Bai et al. 10.1016/j.jhydrol.2019.06.030
- Fractal analysis of green roof spatial implementation in European cities P. Versini et al. 10.1016/j.ufug.2020.126629
- Infilling missing data of binary geophysical fields using scale invariant properties through an application to imperviousness in urban areas A. Gires et al. 10.1080/02626667.2021.1925121
- Multifractal characterisation of a simulated surface flow: A case study with Multi-Hydro in Jouy-en-Josas, France A. Gires et al. 10.1016/j.jhydrol.2018.01.062
- Application of fractal and multifractal analysis on Blue Nile drainage patterns in the morphostructural analysis of the Ethiopian highlands, Ethiopia M. Kusák 10.1177/03091333211059419
- Integrated model for the fast assessment of flood volume: Modelling – management, uncertainty and sensitivity analysis B. Szeląg et al. 10.1016/j.jhydrol.2023.129967
- Evaluating the performance of hydrological models with joint multifractal spectra Z. Bai et al. 10.1080/02626667.2022.2114834
- Scale effect challenges in urban hydrology highlighted with a distributed hydrological model A. Ichiba et al. 10.5194/hess-22-331-2018
- Multifractal Analysis of River Networks in an Urban Catchment on the Taihu Plain, China J. Xiang et al. 10.3390/w11112283
- Enhancing SWAT with remotely sensed LAI for improved modelling of ecohydrological process in subtropics T. Ma et al. 10.1016/j.jhydrol.2019.01.024
- Hydraulic Characterization of River Networks Based on Flow Patterns Simulated by 2‐D Shallow Water Modeling: Scaling Properties, Multifractal Interpretation, and Perspectives for Channel Heads Detection P. Costabile et al. 10.1029/2018WR024083
Latest update: 14 Dec 2024
Short summary
Data from 10 urban or peri-urban catchments located in five EU countries are used to analyze the imperviousness distribution and sewer network geometry. Consistent scale invariant features are retrieved for both (fractal dimensions can be defined), which enables to define a level of urbanization. Imperviousness representation in operational model is also found to exhibit scale-invariant features (even multifractality). The research was carried out as part of the UE INTERREG IV RainGain project.
Data from 10 urban or peri-urban catchments located in five EU countries are used to analyze the...
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