Articles | Volume 15, issue 12
https://doi.org/10.5194/nhess-15-2725-2015
https://doi.org/10.5194/nhess-15-2725-2015
Research article
 | 
21 Dec 2015
Research article |  | 21 Dec 2015

Social media as an information source for rapid flood inundation mapping

J. Fohringer, D. Dransch, H. Kreibich, and K. Schröter

Related authors

Invited perspectives: Safeguarding the usability and credibility of flood hazard and risk assessments
Bruno Merz, Günter Blöschl, Robert Jüpner, Heidi Kreibich, Kai Schröter, and Sergiy Vorogushyn
EGUsphere, https://doi.org/10.5194/egusphere-2024-856,https://doi.org/10.5194/egusphere-2024-856, 2024
Short summary
Merging modelled and reported flood impacts in Europe in a combined flood event catalogue, 1950–2020
Dominik Paprotny, Belinda Rhein, Michalis I. Vousdoukas, Paweł Terefenko, Francesco Dottori, Simon Treu, Jakub Śledziowski, Luc Feyen, and Heidi Kreibich
EGUsphere, https://doi.org/10.5194/egusphere-2024-499,https://doi.org/10.5194/egusphere-2024-499, 2024
Short summary
Technical Note: Resolution enhancement of flood inundation grids
Seth Bryant, Guy Schumann, Heiko Apel, Heidi Kreibich, and Bruno Merz
Hydrol. Earth Syst. Sci., 28, 575–588, https://doi.org/10.5194/hess-28-575-2024,https://doi.org/10.5194/hess-28-575-2024, 2024
Short summary
Exploring the use of seasonal forecasts to adapt flood insurance premiums
Viet Dung Nguyen, Jeroen Aerts, Max Tesselaar, Wouter Boutzen, Heidi Kreibich, Lorenzo Alfieri, and Bruno Merz
EGUsphere, https://doi.org/10.5194/egusphere-2023-2862,https://doi.org/10.5194/egusphere-2023-2862, 2024
Short summary
Estimation of future rainfall extreme values by temperature-dependent disaggregation of climate model data
Niklas Ebers, Kai Schröter, and Hannes Müller-Thomy
EGUsphere, https://doi.org/10.5194/egusphere-2023-1948,https://doi.org/10.5194/egusphere-2023-1948, 2023
Short summary

Related subject area

Hydrological Hazards
Flash flood detection via copula-based intensity–duration–frequency curves: evidence from Jamaica
Dino Collalti, Nekeisha Spencer, and Eric Strobl
Nat. Hazards Earth Syst. Sci., 24, 873–890, https://doi.org/10.5194/nhess-24-873-2024,https://doi.org/10.5194/nhess-24-873-2024, 2024
Short summary
Seasonal forecasting of local-scale soil moisture droughts with Global BROOK90: a case study of the European drought of 2018
Ivan Vorobevskii, Thi Thanh Luong, and Rico Kronenberg
Nat. Hazards Earth Syst. Sci., 24, 681–697, https://doi.org/10.5194/nhess-24-681-2024,https://doi.org/10.5194/nhess-24-681-2024, 2024
Short summary
How to mitigate flood events similar to the 1979 catastrophic floods in the lower Tagus
Diego Fernández-Nóvoa, Alexandre M. Ramos, José González-Cao, Orlando García-Feal, Cristina Catita, Moncho Gómez-Gesteira, and Ricardo M. Trigo
Nat. Hazards Earth Syst. Sci., 24, 609–630, https://doi.org/10.5194/nhess-24-609-2024,https://doi.org/10.5194/nhess-24-609-2024, 2024
Short summary
Assessing LISFLOOD-FP with the next-generation digital elevation model FABDEM using household survey and remote sensing data in the Central Highlands of Vietnam
Laurence Hawker, Jeffrey Neal, James Savage, Thomas Kirkpatrick, Rachel Lord, Yanos Zylberberg, Andre Groeger, Truong Dang Thuy, Sean Fox, Felix Agyemang, and Pham Khanh Nam
Nat. Hazards Earth Syst. Sci., 24, 539–566, https://doi.org/10.5194/nhess-24-539-2024,https://doi.org/10.5194/nhess-24-539-2024, 2024
Short summary
CRHyME (Climatic Rainfall Hydrogeological Modelling Experiment): a new model for geo-hydrological hazard assessment at the basin scale
Andrea Abbate, Leonardo Mancusi, Francesco Apadula, Antonella Frigerio, Monica Papini, and Laura Longoni
Nat. Hazards Earth Syst. Sci., 24, 501–537, https://doi.org/10.5194/nhess-24-501-2024,https://doi.org/10.5194/nhess-24-501-2024, 2024
Short summary

Cited articles

Abel, F., Hauff, C., Houben, G.-J., Stronkman, R., and Tao, K.: Semantics + filtering + search = twitcident exploring information in social web streams, in: Proceedings of the 23rd ACM Conference on Hypertext and Social Media, HT '12, ACM, New York, NY, USA, 285–294, https://doi.org/10.1145/2309996.2310043, 2012.
Apel, H., Aronica, G., Kreibich, H., and Thieken, A.: Flood risk analyses – how detailed do we need to be?, Nat. Hazards, 49, 79–98, https://doi.org/10.1007/s11069-008-9277-8, 2009.
Bates, P. D.: Integrating remote sensing data with flood inundation models: how far have we got?, Hydrol. Process., 26, 2515–2521, https://doi.org/10.1002/hyp.9374, 2012.
Di Baldassarre, G., Schumann, G., and Bates, P.: Near real time satellite imagery to support and verify timely flood modelling, Hydrol. Process., 23, 799–803, https://doi.org/10.1002/hyp.7229, 2009.
Dransch, D., Poser, K., Fohringer, J., and Lucas, C.: Volunteered geographic information for disaster management, in: Citizen E-Participation in Urban Governance: Crowdsourcing and Collaborative Creativity, Advances in electronic government, digital divide, and regional development (AEGDDRD) book series, edited by: Silva, C. N., Information Science Reference, Hershey, Pa., 98–118, 2013.
Download
Short summary
During and shortly after a disaster, data about the hazard and its consequences are scarce and not readily available. This research proposes a methodology that leverages social media content to support rapid inundation mapping, including inundation extent and water depth in the case of floods. The case study of the June 2013 flood in the city of Dresden shows that social media may help to bridge the information gap when traditional data sources are lacking or are sparse.
Altmetrics
Final-revised paper
Preprint