Real-Time Data in Operational Hydrology - Ways of Visualizations in an Online Cartographic Application

Early warning and monitoring activities in the field of operational hydrology – and any other natural hazard management field – are crucial in order to limit damages to life and assets caused by extreme natural events. Statistics show that hydro-meteorological events both on a global and a local scale are increasing in their number of occurrence as well as in their intensities. Decision makers such as operational hydrologists must be enabled to quickly and comprehensively overlook an on-going situation, to go more into its details and then take further actions in collaboration with crisis management groups based on the information they have. Thus, more than ever, real-time data from different measurement networks and sources have to be compiled, processed and presented in real-time to these decision makers. The scientific, cartographic challenge is to deliver automated, real-time visualizations in consideration of sound cartographic rules and standards. In this paper, the conceptualization of a web-based cartographic real-time information system is presented. Based on this concept, a prototype has been tested that integrates acquisition, processing and visualizations of real-time hydro-meteorological data in different ways, depending on the chosen timeframe and level of detail. Besides monitoring visualizations, data are retraceable using visualizations that clearly stress the course of the event and the data’s spatio-temporal character. Further visualizations and functionalities are provided that allow for putting real-time data in relation to a broader historical context. Data are instantaneously retrievable from a data archive, classified and visualized in order to learn from former events and experiences.

[1]  Christophe Charles Edouard Lienert,et al.  Real-time cartography in operational hydrology , 2010 .

[2]  Alan M. MacEachren,et al.  Animation and the Role of Map Design in Scientific Visualization , 1992 .

[3]  Paolo Reggiani,et al.  A Bayesian approach to decision-making under uncertainty: An application to real-time forecasting in the river Rhine , 2008 .

[4]  Janice M. Fulford,et al.  Near-real-time simulation and internet-based delivery of forecast-flood inundation maps using two-dimensional hydraulic modeling--A pilot study for the Snoqualmie River, Washington , 2002 .

[5]  E. Valpreda GIS and Natural Hazards , 2004 .

[7]  Terry A. Slocum Thematic Cartography and Geographic Visualization , 2004 .

[8]  W. Cleveland,et al.  Graphical Perception: Theory, Experimentation, and Application to the Development of Graphical Methods , 1984 .

[9]  Torsten Hothorn R/S Interfaces to Databases , 2001 .

[10]  Jacques Bertin,et al.  Semiologie graphique : les diagrammes les réseaux, les cartes , 1969 .

[11]  B. Soden,et al.  Atmospheric Warming and the Amplification of Precipitation Extremes , 2008, Science.

[12]  R. Laurini,et al.  A primer on TeleGeoProcessing and TeleGeoMonitoring , 2001 .

[13]  Todini,et al.  Coupling meteorological and hydrological models for flood forecasting , 2005 .

[14]  Michael P. Peterson International Perspectives on Maps and the Internet - Lecture Notes in Geoinformation and Cartography , 2008 .

[15]  Massimiliano Zappa,et al.  Verification of a coupled hydrometeorological modelling approach for alpine tributaries in the Rhine basin , 2006 .

[16]  Francesca Lugli,et al.  M3Flood: An Integrated System for Flood Forecasting and Emergency Management , 2005 .

[17]  J. Zillman Meteorological and Hydrological Early Warning Systems , 2003 .

[18]  Jeffrey S. Torguson,et al.  Cartography: Thematic Map Design , 1990 .