Articles | Volume 9, issue 2
https://doi.org/10.5194/essd-9-657-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/essd-9-657-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Review article
| 
04 Sep 2017
Review article |
| 04 Sep 2017
floodX: urban flash flood experiments monitored with conventional and alternative sensors
Matthew Moy de Vitry
CORRESPONDING AUTHOR
Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600
Dübendorf, Switzerland
Institute of Civil, Environmental and Geomatic Engineering, ETH
Zurich, 8093 Zurich, Switzerland
Simon Dicht
Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600
Dübendorf, Switzerland
João P. Leitão
Eawag, Swiss Federal Institute of Aquatic Science and Technology, 8600
Dübendorf, Switzerland
Viewed
Total article views: 3,476 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Feb 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,980 | 1,328 | 168 | 3,476 | 362 | 140 | 123 |
- HTML: 1,980
- PDF: 1,328
- XML: 168
- Total: 3,476
- Supplement: 362
- BibTeX: 140
- EndNote: 123
Total article views: 2,715 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 04 Sep 2017)
| HTML | XML | Total | Supplement | BibTeX | EndNote | |
|---|---|---|---|---|---|---|
| 1,556 | 1,017 | 142 | 2,715 | 362 | 121 | 105 |
- HTML: 1,556
- PDF: 1,017
- XML: 142
- Total: 2,715
- Supplement: 362
- BibTeX: 121
- EndNote: 105
Total article views: 761 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 23 Feb 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 424 | 311 | 26 | 761 | 19 | 18 |
- HTML: 424
- PDF: 311
- XML: 26
- Total: 761
- BibTeX: 19
- EndNote: 18
Viewed (geographical distribution)
Total article views: 3,476 (including HTML, PDF, and XML)
Thereof 3,334 with geography defined
and 142 with unknown origin.
Total article views: 2,715 (including HTML, PDF, and XML)
Thereof 2,582 with geography defined
and 133 with unknown origin.
Total article views: 761 (including HTML, PDF, and XML)
Thereof 752 with geography defined
and 9 with unknown origin.
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Country | # | Views | % |
|---|
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
| Total: | 0 |
| HTML: | 0 |
| PDF: | 0 |
| XML: | 0 |
- 1
1
Cited
24 citations as recorded by crossref.
- Exchange between drainage systems and surface flows during urban flooding: Quasi-steady and dynamic modelling in unsteady flow conditions V. Kitsikoudis et al. 10.1016/j.jhydrol.2021.126628
- The potential of proxy water level measurements for calibrating urban pluvial flood models M. Moy de Vitry & J. Leitão 10.1016/j.watres.2020.115669
- Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network M. Moy de Vitry et al. 10.5194/hess-23-4621-2019
- DAMP-YOLO: A Lightweight Network Based on Deformable Features and Aggregation for Meter Reading Recognition S. Zhuo et al. 10.3390/app132011493
- Determination of Internal Elevation Fluctuation from CCTV Footage of Sanitary Sewers Using Deep Learning H. Ji et al. 10.3390/w13040503
- Quantifying flood model accuracy under varying surface complexities W. Addison-Atkinson et al. 10.1016/j.jhydrol.2023.129511
- Analysis of diurnal, seasonal, and annual distribution of urban sub-hourly to hourly rainfall extremes in Germany N. Haacke & E. Paton 10.2166/nh.2021.181
- A Real-Time Detecting Method for Continuous Urban Flood Scenarios Based on Computer Vision on Block Scale H. Huang et al. 10.3390/rs15061696
- Risk-Based and Hydrodynamic Pluvial Flood Forecasts in Real Time J. Hofmann & H. Schüttrumpf 10.3390/w12071895
- Integrated community-based approaches to urban pluvial flooding research, trends and future directions: A review K. Azizi et al. 10.1016/j.uclim.2022.101237
- Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review B. Arshad et al. 10.3390/s19225012
- Measurement of Wastewater Discharge in Sewer Pipes Using Image Analysis H. Ji et al. 10.3390/w12061771
- An Augmented Reality Facility to Run Hybrid Physical-Numerical Flood Models J. Puertas et al. 10.3390/w12113290
- How computer vision can facilitate flood management: A systematic review U. Iqbal et al. 10.1016/j.ijdrr.2020.102030
- The Bellinge data set: open data and models for community-wide urban drainage systems research A. Nedergaard Pedersen et al. 10.5194/essd-13-4779-2021
- Urban overland runoff velocity measurement with consumer-grade surveillance cameras and surface structure image velocimetry J. Leitão et al. 10.1016/j.jhydrol.2018.09.001
- Experimental and numerical study of flood in a river-network-floodplain set-up V. Mali & S. Kuiry 10.1080/00221686.2019.1698471
- Spatially estimating flooding depths from damage reports L. Haselbach et al. 10.1007/s11069-023-05921-2
- Numerical Insights Into the Effects of Model Geometric Distortion in Laboratory Experiments of Urban Flooding X. Li et al. 10.1029/2019WR026774
- Pluvial flood risk and opportunities for resilience B. Rosenzweig et al. 10.1002/wat2.1302
- Technical note: Laboratory modelling of urban flooding: strengths and challenges of distorted scale models X. Li et al. 10.5194/hess-23-1567-2019
- An Integrated Urban Flood Vulnerability Index for Sustainable Planning in Arid Zones of Developing Countries C. Salazar-Briones et al. 10.3390/w12020608
- Exploring the Performance of Ensemble Smoothers to Calibrate Urban Drainage Models Y. Huang et al. 10.1029/2022WR032440
- A Heuristic Method for Measurement Site Selection in Sewer Systems T. Vonach et al. 10.3390/w10020122
24 citations as recorded by crossref.
- Exchange between drainage systems and surface flows during urban flooding: Quasi-steady and dynamic modelling in unsteady flow conditions V. Kitsikoudis et al. 10.1016/j.jhydrol.2021.126628
- The potential of proxy water level measurements for calibrating urban pluvial flood models M. Moy de Vitry & J. Leitão 10.1016/j.watres.2020.115669
- Scalable flood level trend monitoring with surveillance cameras using a deep convolutional neural network M. Moy de Vitry et al. 10.5194/hess-23-4621-2019
- DAMP-YOLO: A Lightweight Network Based on Deformable Features and Aggregation for Meter Reading Recognition S. Zhuo et al. 10.3390/app132011493
- Determination of Internal Elevation Fluctuation from CCTV Footage of Sanitary Sewers Using Deep Learning H. Ji et al. 10.3390/w13040503
- Quantifying flood model accuracy under varying surface complexities W. Addison-Atkinson et al. 10.1016/j.jhydrol.2023.129511
- Analysis of diurnal, seasonal, and annual distribution of urban sub-hourly to hourly rainfall extremes in Germany N. Haacke & E. Paton 10.2166/nh.2021.181
- A Real-Time Detecting Method for Continuous Urban Flood Scenarios Based on Computer Vision on Block Scale H. Huang et al. 10.3390/rs15061696
- Risk-Based and Hydrodynamic Pluvial Flood Forecasts in Real Time J. Hofmann & H. Schüttrumpf 10.3390/w12071895
- Integrated community-based approaches to urban pluvial flooding research, trends and future directions: A review K. Azizi et al. 10.1016/j.uclim.2022.101237
- Computer Vision and IoT-Based Sensors in Flood Monitoring and Mapping: A Systematic Review B. Arshad et al. 10.3390/s19225012
- Measurement of Wastewater Discharge in Sewer Pipes Using Image Analysis H. Ji et al. 10.3390/w12061771
- An Augmented Reality Facility to Run Hybrid Physical-Numerical Flood Models J. Puertas et al. 10.3390/w12113290
- How computer vision can facilitate flood management: A systematic review U. Iqbal et al. 10.1016/j.ijdrr.2020.102030
- The Bellinge data set: open data and models for community-wide urban drainage systems research A. Nedergaard Pedersen et al. 10.5194/essd-13-4779-2021
- Urban overland runoff velocity measurement with consumer-grade surveillance cameras and surface structure image velocimetry J. Leitão et al. 10.1016/j.jhydrol.2018.09.001
- Experimental and numerical study of flood in a river-network-floodplain set-up V. Mali & S. Kuiry 10.1080/00221686.2019.1698471
- Spatially estimating flooding depths from damage reports L. Haselbach et al. 10.1007/s11069-023-05921-2
- Numerical Insights Into the Effects of Model Geometric Distortion in Laboratory Experiments of Urban Flooding X. Li et al. 10.1029/2019WR026774
- Pluvial flood risk and opportunities for resilience B. Rosenzweig et al. 10.1002/wat2.1302
- Technical note: Laboratory modelling of urban flooding: strengths and challenges of distorted scale models X. Li et al. 10.5194/hess-23-1567-2019
- An Integrated Urban Flood Vulnerability Index for Sustainable Planning in Arid Zones of Developing Countries C. Salazar-Briones et al. 10.3390/w12020608
- Exploring the Performance of Ensemble Smoothers to Calibrate Urban Drainage Models Y. Huang et al. 10.1029/2022WR032440
- A Heuristic Method for Measurement Site Selection in Sewer Systems T. Vonach et al. 10.3390/w10020122
Latest update: 25 Apr 2024
Short summary
Pluvial flash floods are a growing hazard in urban areas but the lack of appropriate data collection methods hinders the improvement of flood risk mapping and early warning systems. In the floodX project, 22 controlled urban flash floods were generated in a flood response training facility and monitored with state-of-the-art sensors complemented with standard surveillance cameras. The data can be used to explore vision-based monitoring concepts and flood model calibration strategies.
Pluvial flash floods are a growing hazard in urban areas but the lack of appropriate data...
Altmetrics
Final-revised paper
Preprint