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Monitoring and Comparing: A Cartographic Web Application for Real-time Visualization of Hydrological Data

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Part of the book series: Lecture Notes in Geoinformation and Cartography ((LNGC))

Abstract

As decision support in flood warning, experts within crisis management groups need readily available real-time data, and real-time visualization derived from them. Up until now, work steps including acquisition, harmonization, storage, processing, visualization and archiving of data have been accomplished manually or semi-automated. In a cartographic real-time application, these worksteps have to be achieved online and error-free. The presented web application and the generated real-time visualization products are based on a viable data model which is extendable by additional measurement or model ouput data. By means of a graphical user interface, users may overview the most current hydrological situation in the form of automatically processed real-time maps. In addition, these maps may be interactively compiled, depending on users’ needs, on different levels of detail, and in various thematic combinations. In order to classify the most current hydrological situation in the historical context, i.e., to eventually learn from the past, the application also allows to easily create visualizations of past flood events. Data from a long-term, high-resolution archive undergo the same cartographic rules and abstraction as real-time data for the purpose of direct comparisons.

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References

  • Allan RP, Soden BJ (2008) Atmospheric warming and the amplification of precipitation extremes. J Sci 321(5895):1481–1484.

    Article  Google Scholar 

  • Bartholmes J, Todini E (2005) Coupling meteorological and hydrological models for flood forecasting. J Hydrol Earth Syst Sci 9(4):333–346.

    Article  Google Scholar 

  • Berlekamp J, Lautenbach S, Graf N, Reimer S, Matthies M (2007) Integration of MONERIS and GREAT-ER in the decision support system for the German Elbe river basin. J Environ Model Software 22(2):239–247.

    Article  Google Scholar 

  • Bezzola GR, Hegg C (2007) Fazit. In: Bezzola GR, Hegg C (eds.) Ereignisanalyse Hochwasser 2005 – Teil 1 Prozesse, Schäden und erste Einordnungen. Swiss Federal Office for the Environment and Swiss Research Center for Forest, Snow and Landscape, Berne and Birmensdorf, pp. 211–215.

    Google Scholar 

  • Black AR, Law FM (2004) Development and utilization of a national web-based chronology of hydrological events. Hydrol Sci J 49(2): 237–246.

    Article  Google Scholar 

  • de Kort IAT, Booij MJ (2007) Decision making under uncertainty in a decision support system for the red river. J Environ Model Software 22(2):128–136.

    Article  Google Scholar 

  • Foraci R, Bider M, Cox JP, Lugli F, Nicolini R, Simoni G, Tirelli L, Mazzeo S, Marsigli M (2005) M3Flood: An Integrated System for Flood Forecasting and Emergency Management. In: Oosterom PJMv (ed.) Geo-Information for Disaster Management. Springer, Berlin, pp. 1193–1210.

    Chapter  Google Scholar 

  • Jasper K, Calanca P, Gyalistras D, Fuhrer J (2004) Differential impacts of climate change on the hydrology of two alpine river basins. J Climate Res 26(2):113–129.

    Article  Google Scholar 

  • Jaun S, Ahrens B, Walser A, Ewen T, Schar C (2008) A probabilistic view on the August 2005 floods in the upper Rhine catchment. J Nat Hazards Earth Syst Sci 8(2):281–291.

    Article  Google Scholar 

  • Jha MK, Das Gupta A (2003) Application of Mike basin for water management strategies in a watershed. J Water Int 28(1):27–35.

    Article  Google Scholar 

  • Kienholz H, Krummenacher B, Kipfer A, Perret S (2004) Aspects of integral risk management in practice – considerations with respect to mountain hazards in Switzerland. J Österreichische Wasser- und Abfallwirtschaft 56(3–4):43–50.

    Google Scholar 

  • Lienert C, Kunz M, Weingartner R, Hurni L (2009a) Methods for Real-Time Visualization and Exploration Improvements of Radar and Temperature Data in Web-Cartography (in preparation). In: Proceedings of the 24th International Cartography Conference, Santiago, Chile.

    Google Scholar 

  • Lienert C, Schnabel O, Hutzler E, Hurni L (2008) A Real-Time Flow Map of the Swiss 1:200’000 River Network. Considerations on Its Preparation and Its Dynamic Integration into a Web-Based Prototype. In: Proceedings of the 6th ICA Workshop on Mountain Cartography, Lenk, Switzerland.

    Google Scholar 

  • Lienert C, Weingartner R, Hurni L (2007) Real-Time Cartography in Operational Hydrology. In: Proceedings of the 23rd International Cartography Conference, Moscow, Russia.

    Google Scholar 

  • Lienert C, Weingartner R, Hurni L (2009b) Real-time visualization in operational hydrology through web-based cartography. J Cartograp Geograp Infor Sci 36(1):45–48.

    Article  Google Scholar 

  • Neumann A, Winter AM (2003) Webmapping with Scalable Vector Graphics (SVG): Delivering the Promise of High Quality and Interactive Web Maps. In: Peterson MP (ed.) Maps and the Internet. Elsevier, Amsterdam, pp. 197–220.

    Chapter  Google Scholar 

  • Todini E (1999) An operational decision support system for flood risk mapping, forecasting and management. J Urban Water 1(2):131–143.

    Article  Google Scholar 

  • Valpreda E (2004) GIS and Natural Hazards. In: Casale R, Margottini C (eds.) Natural Disasters and Sustainable Development. Springer, Berlin, pp. 373–386.

    Google Scholar 

  • Vrugt JA, Gupta HV, Nualláin BO, Bouten W (2006) Real-time data assimilation for operational ensemble streamflow forecasting. J Hydrometeorol 7(3):548–565.

    Article  Google Scholar 

  • Weingartner R, Aschwanden H (1992) Discharge Regime – the Basis for the Estimation of Average Flows. In: BWG (ed.) Hydrological Atlas of Switzerland. Federal Office for Water and Geology, Berne, pp. Plate 5.2.

    Google Scholar 

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Acknowledgements

This project is supported by the Swiss National Science Foundation (Grant No. 200020-122291).

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Correspondence to Christophe Lienert .

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Lienert, C., Kunz, M., Weingartner, R., Hurni, L. (2010). Monitoring and Comparing: A Cartographic Web Application for Real-time Visualization of Hydrological Data. In: Konecny, M., Zlatanova, S., Bandrova, T. (eds) Geographic Information and Cartography for Risk and Crisis Management. Lecture Notes in Geoinformation and Cartography. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03442-8_28

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