Articles | Volume 19, issue 8
https://doi.org/10.5194/nhess-19-1653-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-19-1653-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| Highlight paper
| 
07 Aug 2019
Research article | Highlight paper |
| 07 Aug 2019
| 07 Aug 2019
Improving the understanding of flood risk in the Alsatian region by knowledge capitalization: the ORRION participative observatory
Florie Giacona
CORRESPONDING AUTHOR
Institut des Sciences de l'Environnement, Université de
Genève, 66 bd Carl Vogt, 1205 Geneva, Switzerland
Univ. Grenoble Alpes, Irstea, UR ETGR, 2 rue de la Papeterie-BP 76,
38402 St-Martin-d'Hères, France
Brice Martin
Cresat, Université de Haute-Alsace, Campus Fonderie, 16 rue de la Fonderie 68093 Mulhouse, CEDEX, France
Benjamin Furst
Cresat, Université de Haute-Alsace, Campus Fonderie, 16 rue de la Fonderie 68093 Mulhouse, CEDEX, France
Rüdiger Glaser
IPG, Albert-Ludwig Universität Freiburg, Werthmannstraße 4,
79098 Freiburg, Germany
Nicolas Eckert
Univ. Grenoble Alpes, Irstea, UR ETGR, 2 rue de la Papeterie-BP 76,
38402 St-Martin-d'Hères, France
Iso Himmelsbach
IPG, Albert-Ludwig Universität Freiburg, Werthmannstraße 4,
79098 Freiburg, Germany
Charlotte Edelblutte
Cresat, Université de Haute-Alsace, Campus Fonderie, 16 rue de la Fonderie 68093 Mulhouse, CEDEX, France
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Total article views: 3,645 (including HTML, PDF, and XML)
Thereof 3,037 with geography defined
and 608 with unknown origin.
Total article views: 900 (including HTML, PDF, and XML)
Thereof 817 with geography defined
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Cited
16 citations as recorded by crossref.
- The RTM Event Database for Understanding Natural Hazards in Mountainous Regions: The Example of the Isere Department (France) A. Bisquert et al. 10.4000/137kg
- Assessing Climate Change in the Trinational Upper Rhine Region: How Can We Operationalize Vulnerability Using an Indicator-Based, Meso-Scale Approach? N. Scholze et al. 10.3390/su12166323
- Risk governance of climate-related hazards in Longyearbyen, Svalbard: A review of risk governance approaches and knowledge gaps S. Johannessen et al. 10.1016/j.crm.2024.100585
- Une méthodologie de la modélisation en géohistoire : de la chronologie (spatialisée) des événements au fonctionnement du système par la mise en correspondance spatiale et temporelle F. Giacona et al. 10.4000/physio-geo.9186
- Classifying the 2021 ‘Ahrtal’ flood event using hermeneutic interpretation, natural language processing, and instrumental data analyses M. Kahle et al. 10.1088/2515-7620/ac6657
- Climate change impacts and adaptation efforts in different economic sectors of the Trinational Metropolitan Region Upper Rhine N. Scholze et al. 10.1016/j.crm.2023.100576
- Historique des crues et risque d’inondation dans la vallée de la Meurthe depuis le XVIIIe siècle C. Delus et al. 10.4000/vertigo.34420
- Historical flood reconstruction in a torrential alpine catchment and its implication for flood hazard assessments Y. Zhong et al. 10.1016/j.jhydrol.2023.130547
- Une base de données événementielle du risque rocheux dans les Alpes Françaises N. Eckert et al. 10.1051/geotech/2020012
- La base de données événementielles RTM pour la connaissance des risques naturels en montagne : L’exemple du département de l’Isère (France) A. Bisquert et al. 10.4000/137kf
- Climate Change Impacts and Adaptation Efforts in Different Economic Sectors of the Trinational Metropolitan Region Upper Rhine N. Scholze et al. 10.2139/ssrn.4171547
- Graph based knowledge models for capitalizing, predicting and learning: A proof of concept applied to the dam systems C. Baudrit et al. 10.1016/j.aei.2022.101551
- Geo-historical database of flood impacts in Alpine catchments (HIFAVa database, Arve River, France, 1850–2015) E. Boisson et al. 10.5194/nhess-22-831-2022
- Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 Data M. Kempf & R. Glaser 10.3390/w12123298
- L’identité rurale de la vallée de la Bruche : une stratégie d’opposition à l’élaboration du plan de prévention du risque inondation H. Sanchez et al. 10.4000/13ghc
- Modeling multivariate landscape affordances and functional ecosystem connectivity in landscape archeology M. Kempf 10.1007/s12520-020-01127-w
13 citations as recorded by crossref.
- The RTM Event Database for Understanding Natural Hazards in Mountainous Regions: The Example of the Isere Department (France) A. Bisquert et al. 10.4000/137kg
- Assessing Climate Change in the Trinational Upper Rhine Region: How Can We Operationalize Vulnerability Using an Indicator-Based, Meso-Scale Approach? N. Scholze et al. 10.3390/su12166323
- Risk governance of climate-related hazards in Longyearbyen, Svalbard: A review of risk governance approaches and knowledge gaps S. Johannessen et al. 10.1016/j.crm.2024.100585
- Une méthodologie de la modélisation en géohistoire : de la chronologie (spatialisée) des événements au fonctionnement du système par la mise en correspondance spatiale et temporelle F. Giacona et al. 10.4000/physio-geo.9186
- Classifying the 2021 ‘Ahrtal’ flood event using hermeneutic interpretation, natural language processing, and instrumental data analyses M. Kahle et al. 10.1088/2515-7620/ac6657
- Climate change impacts and adaptation efforts in different economic sectors of the Trinational Metropolitan Region Upper Rhine N. Scholze et al. 10.1016/j.crm.2023.100576
- Historique des crues et risque d’inondation dans la vallée de la Meurthe depuis le XVIIIe siècle C. Delus et al. 10.4000/vertigo.34420
- Historical flood reconstruction in a torrential alpine catchment and its implication for flood hazard assessments Y. Zhong et al. 10.1016/j.jhydrol.2023.130547
- Une base de données événementielle du risque rocheux dans les Alpes Françaises N. Eckert et al. 10.1051/geotech/2020012
- La base de données événementielles RTM pour la connaissance des risques naturels en montagne : L’exemple du département de l’Isère (France) A. Bisquert et al. 10.4000/137kf
- Climate Change Impacts and Adaptation Efforts in Different Economic Sectors of the Trinational Metropolitan Region Upper Rhine N. Scholze et al. 10.2139/ssrn.4171547
- Graph based knowledge models for capitalizing, predicting and learning: A proof of concept applied to the dam systems C. Baudrit et al. 10.1016/j.aei.2022.101551
- Geo-historical database of flood impacts in Alpine catchments (HIFAVa database, Arve River, France, 1850–2015) E. Boisson et al. 10.5194/nhess-22-831-2022
3 citations as recorded by crossref.
- Tracing Real-Time Transnational Hydrologic Sensitivity and Crop Irrigation in the Upper Rhine Area over the Exceptional Drought Episode 2018–2020 Using Open Source Sentinel-2 Data M. Kempf & R. Glaser 10.3390/w12123298
- L’identité rurale de la vallée de la Bruche : une stratégie d’opposition à l’élaboration du plan de prévention du risque inondation H. Sanchez et al. 10.4000/13ghc
- Modeling multivariate landscape affordances and functional ecosystem connectivity in landscape archeology M. Kempf 10.1007/s12520-020-01127-w
Latest update: 18 Apr 2025
Short summary
The article presents the Alsatian regional flood risk observatory ORRION, a participative online platform on which information is shared between individuals, stakeholders, engineers, and scientists. This maximizes knowledge capitalization and contributes to building a common knowledge base for flood risk. From this information, long chronicles of floods are derived for the Rhine, and most of its main Alsatian tributaries and their main characteristics are identified and analysed.
The article presents the Alsatian regional flood risk observatory ORRION, a participative online...
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