Articles | Volume 17, issue 5
https://doi.org/10.5194/nhess-17-735-2017
© 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/nhess-17-735-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
19 May 2017
Research article |
| 19 May 2017
Probabilistic flood extent estimates from social media flood observations
Tom Brouwer
Deltares, Delft, Boussinesqweg 1, 2629 HV, the Netherlands
Dept. of Water Engineering and Management, University of Twente,
Enschede, Drienerlolaan 5, 7522NB, the Netherlands
Deltares, Delft, Boussinesqweg 1, 2629 HV, the Netherlands
Arnejan van Loenen
Deltares, Delft, Boussinesqweg 1, 2629 HV, the Netherlands
Martijn J. Booij
Dept. of Water Engineering and Management, University of Twente,
Enschede, Drienerlolaan 5, 7522NB, the Netherlands
Kathelijne M. Wijnberg
Dept. of Water Engineering and Management, University of Twente,
Enschede, Drienerlolaan 5, 7522NB, the Netherlands
Jan S. Verkade
Deltares, Delft, Boussinesqweg 1, 2629 HV, the Netherlands
Jurjen Wagemaker
FloodTags, The Hague, Binckhorstlaan 36, 2511 BE, the Netherlands
Viewed
Total article views: 4,774 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Nov 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,590 | 2,039 | 145 | 4,774 | 116 | 145 |
- HTML: 2,590
- PDF: 2,039
- XML: 145
- Total: 4,774
- BibTeX: 116
- EndNote: 145
Total article views: 4,023 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 19 May 2017)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 2,204 | 1,683 | 136 | 4,023 | 113 | 136 |
- HTML: 2,204
- PDF: 1,683
- XML: 136
- Total: 4,023
- BibTeX: 113
- EndNote: 136
Total article views: 751 (including HTML, PDF, and XML)
Cumulative views and downloads
(calculated since 25 Nov 2016)
| HTML | XML | Total | BibTeX | EndNote | |
|---|---|---|---|---|---|
| 386 | 356 | 9 | 751 | 3 | 9 |
- HTML: 386
- PDF: 356
- XML: 9
- Total: 751
- BibTeX: 3
- EndNote: 9
Viewed (geographical distribution)
Total article views: 4,774 (including HTML, PDF, and XML)
Thereof 4,470 with geography defined
and 304 with unknown origin.
Total article views: 4,023 (including HTML, PDF, and XML)
Thereof 3,762 with geography defined
and 261 with unknown origin.
Total article views: 751 (including HTML, PDF, and XML)
Thereof 708 with geography defined
and 43 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
44 citations as recorded by crossref.
- Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management M. Oberascher et al. 10.1016/j.scs.2021.103442
- Social-media data for urban sustainability R. Ilieva & T. McPhearson 10.1038/s41893-018-0153-6
- Review article: Detection of actionable tweets in crisis events A. Kruspe et al. 10.5194/nhess-21-1825-2021
- Upscaling urban data science for global climate solutions F. Creutzig et al. 10.1017/sus.2018.16
- Probabilistic flood prediction for urban sub-catchments using sewer models combined with logistic regression models X. Li & P. Willems 10.1080/1573062X.2020.1726409
- Hydrological and hydrodynamic reconstruction of a flood event in a poorly monitored basin: a case study in the Rolante River, Brazil M. Guirro & G. Michel 10.1007/s11069-023-05879-1
- Exploring optimal deep tunnel sewer systems to enhance urban pluvial flood resilience in the gangnam region, South Korea S. Park et al. 10.1016/j.jenvman.2024.120762
- Near real time flood inundation mapping using social media data as an information source: a case study of 2015 Chennai flood D. Karmegam et al. 10.1186/s40677-021-00195-x
- Achieving fine-grained urban flood perception and spatio-temporal evolution analysis based on social media Z. Yan et al. 10.1016/j.scs.2023.105077
- A Bayesian updating framework for calibrating the hydrological parameters of road networks using taxi GPS data X. Kong et al. 10.5194/hess-27-3803-2023
- Venice Was Flooding ... One Tweet at a Time V. Lorini et al. 10.1145/3555107
- Comparative analysis of disaster information website based on web usability evaluation and quality content of disaster information I. Agus Riyanto et al. 10.1051/e3sconf/20197603009
- What can we learn from a 500-year event? Experiences from urban drainage in Austria M. Kleidorfer et al. 10.2166/wst.2018.138
- Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring C. Restrepo-Estrada et al. 10.1016/j.cageo.2017.10.010
- Real-time assessment of flash flood impacts at pan-European scale: The ReAFFINE method J. Ritter et al. 10.1016/j.jhydrol.2021.127022
- Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al. 10.1029/2018RG000616
- Improving the classification of flood tweets with contextual hydrological information in a multimodal neural network J. de Bruijn et al. 10.1016/j.cageo.2020.104485
- Simultaneous assimilation of water levels from river gauges and satellite flood maps for near-real-time flood mapping A. Annis et al. 10.5194/hess-26-1019-2022
- Social media for intelligent public information and warning in disasters: An interdisciplinary review C. Zhang et al. 10.1016/j.ijinfomgt.2019.04.004
- Post‐event flood mapping for road networks using taxiGPSdata X. Kong et al. 10.1111/jfr3.12799
- Forensic Hydrology: A Complete Reconstruction of an Extreme Flood Event in Data-Scarce Area A. Tegos et al. 10.3390/hydrology9050093
- Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China X. Han & J. Wang 10.3390/ijgi8040185
- Characterizing Consecutive Flooding Events after the 2017 Mt. Salto Wildfires (Southern Italy): Hazard and Emergency Management Implications G. Esposito et al. 10.3390/w11122663
- Semantic analysis of social network site data for flood mapping and assessment I. Jamaludin et al. 10.1016/j.jhydrol.2023.130519
- Using social media to measure impacts of named storm events in the United Kingdom and Ireland M. Spruce et al. 10.1002/met.1887
- Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping A. Annis & F. Nardi 10.1080/10095020.2019.1626135
- Advanced Technologies for Offering Situational Intelligence in Flood Warning and Response Systems: A Literature Review S. Samansiri et al. 10.3390/w14132091
- Collaborative spatial information as an alternative data source for hydrodynamic model calibration: a Pernambuco State case study, Brazil G. de Oliveira et al. 10.1007/s11069-023-06073-z
- GFPLAIN and Multi-Source Data Assimilation Modeling: Conceptualization of a Flood Forecasting Framework Supported by Hydrogeomorphic Floodplain Rapid Mapping A. Annis & F. Nardi 10.3390/hydrology8040143
- Anomalous human activity fluctuations from digital trace data signal flood inundation status H. Farahmand et al. 10.1177/23998083211069990
- Flood spatial location in a Mediterranean coastal city: Ibiza (Balearic Islands) from 2000 to 2021 J. Rosselló-Geli & M. Grimalt-Gelabert 10.3934/geosci.2023013
- Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
- Natural disasters detection in social media and satellite imagery: a survey N. Said et al. 10.1007/s11042-019-07942-1
- Quantitative Association between Nighttime Lights and Geo-Tagged Human Activity Dynamics during Typhoon Mangkhut . Liu et al. 10.3390/rs11182091
- Social sensing of high-impact rainfall events worldwide: a benchmark comparison against manually curated impact observations M. Spruce et al. 10.5194/nhess-21-2407-2021
- Predictive multi-watershed flood monitoring using deep learning on integrated physical and social sensors data S. Dong et al. 10.1177/23998083211069140
- Providing a greater precision of Situational Awareness of urban floods through Multimodal Fusion T. da Costa et al. 10.1016/j.eswa.2021.115923
- Analysis of Increasing Flash Flood Frequency in the Densely Urbanized Coastline of the Campi Flegrei Volcanic Area, Italy G. Esposito et al. 10.3389/feart.2018.00063
- Spatiotemporal assessment of urban flooding hazard using social media: A case study of Zhengzhou ‘7·20’ J. Peng & J. Zhang 10.1016/j.envsoft.2024.106021
- Characteristics of Indoor Flood Fatalities: Evidence from Greece M. Diakakis & K. Papagiannaki 10.3390/su13158612
- Operational and emerging capabilities for surface water flood forecasting L. Speight et al. 10.1002/wat2.1517
- Monitoring jellyfish outbreaks along Israel's Mediterranean coast using digital footprints T. Levy et al. 10.1016/j.scitotenv.2024.171275
- Automatic detection of passable roads after floods in remote sensed and social media data K. Ahmad et al. 10.1016/j.image.2019.02.002
- A Hybrid Model for Fast and Probabilistic Urban Pluvial Flood Prediction X. Li & P. Willems 10.1029/2019WR025128
44 citations as recorded by crossref.
- Towards a smart water city: A comprehensive review of applications, data requirements, and communication technologies for integrated management M. Oberascher et al. 10.1016/j.scs.2021.103442
- Social-media data for urban sustainability R. Ilieva & T. McPhearson 10.1038/s41893-018-0153-6
- Review article: Detection of actionable tweets in crisis events A. Kruspe et al. 10.5194/nhess-21-1825-2021
- Upscaling urban data science for global climate solutions F. Creutzig et al. 10.1017/sus.2018.16
- Probabilistic flood prediction for urban sub-catchments using sewer models combined with logistic regression models X. Li & P. Willems 10.1080/1573062X.2020.1726409
- Hydrological and hydrodynamic reconstruction of a flood event in a poorly monitored basin: a case study in the Rolante River, Brazil M. Guirro & G. Michel 10.1007/s11069-023-05879-1
- Exploring optimal deep tunnel sewer systems to enhance urban pluvial flood resilience in the gangnam region, South Korea S. Park et al. 10.1016/j.jenvman.2024.120762
- Near real time flood inundation mapping using social media data as an information source: a case study of 2015 Chennai flood D. Karmegam et al. 10.1186/s40677-021-00195-x
- Achieving fine-grained urban flood perception and spatio-temporal evolution analysis based on social media Z. Yan et al. 10.1016/j.scs.2023.105077
- A Bayesian updating framework for calibrating the hydrological parameters of road networks using taxi GPS data X. Kong et al. 10.5194/hess-27-3803-2023
- Venice Was Flooding ... One Tweet at a Time V. Lorini et al. 10.1145/3555107
- Comparative analysis of disaster information website based on web usability evaluation and quality content of disaster information I. Agus Riyanto et al. 10.1051/e3sconf/20197603009
- What can we learn from a 500-year event? Experiences from urban drainage in Austria M. Kleidorfer et al. 10.2166/wst.2018.138
- Geo-social media as a proxy for hydrometeorological data for streamflow estimation and to improve flood monitoring C. Restrepo-Estrada et al. 10.1016/j.cageo.2017.10.010
- Real-time assessment of flash flood impacts at pan-European scale: The ReAFFINE method J. Ritter et al. 10.1016/j.jhydrol.2021.127022
- Crowdsourcing Methods for Data Collection in Geophysics: State of the Art, Issues, and Future Directions F. Zheng et al. 10.1029/2018RG000616
- Improving the classification of flood tweets with contextual hydrological information in a multimodal neural network J. de Bruijn et al. 10.1016/j.cageo.2020.104485
- Simultaneous assimilation of water levels from river gauges and satellite flood maps for near-real-time flood mapping A. Annis et al. 10.5194/hess-26-1019-2022
- Social media for intelligent public information and warning in disasters: An interdisciplinary review C. Zhang et al. 10.1016/j.ijinfomgt.2019.04.004
- Post‐event flood mapping for road networks using taxiGPSdata X. Kong et al. 10.1111/jfr3.12799
- Forensic Hydrology: A Complete Reconstruction of an Extreme Flood Event in Data-Scarce Area A. Tegos et al. 10.3390/hydrology9050093
- Using Social Media to Mine and Analyze Public Sentiment during a Disaster: A Case Study of the 2018 Shouguang City Flood in China X. Han & J. Wang 10.3390/ijgi8040185
- Characterizing Consecutive Flooding Events after the 2017 Mt. Salto Wildfires (Southern Italy): Hazard and Emergency Management Implications G. Esposito et al. 10.3390/w11122663
- Semantic analysis of social network site data for flood mapping and assessment I. Jamaludin et al. 10.1016/j.jhydrol.2023.130519
- Using social media to measure impacts of named storm events in the United Kingdom and Ireland M. Spruce et al. 10.1002/met.1887
- Integrating VGI and 2D hydraulic models into a data assimilation framework for real time flood forecasting and mapping A. Annis & F. Nardi 10.1080/10095020.2019.1626135
- Advanced Technologies for Offering Situational Intelligence in Flood Warning and Response Systems: A Literature Review S. Samansiri et al. 10.3390/w14132091
- Collaborative spatial information as an alternative data source for hydrodynamic model calibration: a Pernambuco State case study, Brazil G. de Oliveira et al. 10.1007/s11069-023-06073-z
- GFPLAIN and Multi-Source Data Assimilation Modeling: Conceptualization of a Flood Forecasting Framework Supported by Hydrogeomorphic Floodplain Rapid Mapping A. Annis & F. Nardi 10.3390/hydrology8040143
- Anomalous human activity fluctuations from digital trace data signal flood inundation status H. Farahmand et al. 10.1177/23998083211069990
- Flood spatial location in a Mediterranean coastal city: Ibiza (Balearic Islands) from 2000 to 2021 J. Rosselló-Geli & M. Grimalt-Gelabert 10.3934/geosci.2023013
- Integrating Qualitative Flow Observations in a Lumped Hydrologic Routing Model M. Mazzoleni et al. 10.1029/2018WR023768
- Natural disasters detection in social media and satellite imagery: a survey N. Said et al. 10.1007/s11042-019-07942-1
- Quantitative Association between Nighttime Lights and Geo-Tagged Human Activity Dynamics during Typhoon Mangkhut . Liu et al. 10.3390/rs11182091
- Social sensing of high-impact rainfall events worldwide: a benchmark comparison against manually curated impact observations M. Spruce et al. 10.5194/nhess-21-2407-2021
- Predictive multi-watershed flood monitoring using deep learning on integrated physical and social sensors data S. Dong et al. 10.1177/23998083211069140
- Providing a greater precision of Situational Awareness of urban floods through Multimodal Fusion T. da Costa et al. 10.1016/j.eswa.2021.115923
- Analysis of Increasing Flash Flood Frequency in the Densely Urbanized Coastline of the Campi Flegrei Volcanic Area, Italy G. Esposito et al. 10.3389/feart.2018.00063
- Spatiotemporal assessment of urban flooding hazard using social media: A case study of Zhengzhou ‘7·20’ J. Peng & J. Zhang 10.1016/j.envsoft.2024.106021
- Characteristics of Indoor Flood Fatalities: Evidence from Greece M. Diakakis & K. Papagiannaki 10.3390/su13158612
- Operational and emerging capabilities for surface water flood forecasting L. Speight et al. 10.1002/wat2.1517
- Monitoring jellyfish outbreaks along Israel's Mediterranean coast using digital footprints T. Levy et al. 10.1016/j.scitotenv.2024.171275
- Automatic detection of passable roads after floods in remote sensed and social media data K. Ahmad et al. 10.1016/j.image.2019.02.002
- A Hybrid Model for Fast and Probabilistic Urban Pluvial Flood Prediction X. Li & P. Willems 10.1029/2019WR025128
Saved (final revised paper)
Saved (preprint)
Latest update: 24 Apr 2024
Short summary
The increasing number and severity of floods, driven by e.g. urbanization, subsidence and climate change, create a growing need for accurate and timely flood maps. At the same time social media is a source of much real-time data that is still largely untapped in flood disaster management. This study illustrates that inherently uncertain data from social media can be used to derive information about flooding.
The increasing number and severity of floods, driven by e.g. urbanization, subsidence and...
Altmetrics
Final-revised paper
Preprint