Abstract
Management of water uses requests to harmonize demands and needs which are getting more and more complex and sophisticated. During the past three decades, modeling systems for hydrology, hydraulics, and water quality have been used as stand-alone products and were used in order to produce an analysis of a current situation and to generate forecast according to different horizons. The current situation, characterized by the fast increase of monitoring devices mainly in urban environments, requests an integration of the modeling tools into the information systems that are now dedicated to the global management of urban environments and related services. Energy distribution, water distribution, solid wastes collection, and traffic optimization are today major issues for cities that are looking for functional Decisions Supports Systems (DSSs) that may integrate the various components and operate in a sustainable perspective. In addition, the basic requirement of real-time assessment of the situation, the modeling systems identified as main elements of analytics and used for hydrology, hydraulic, and water quality forecasts have to integrate a common framework allowing modular approach and interoperability. This chapter presents the interest for a generic operational approach that could be implemented in order to address the management of water uses in a complex urban environment and to provide real-time assessment and forecasts. The proposed approach is illustrated with the AquaVar project, an application developed on the Var catchment located in the French Riviera and for an area of 3000 km2.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Stair, R., & Reynolds, G. (2010). Fundamentals of information systems (5th ed.). Boston, MA: Course Technology Cengage Learning.
Gourbesville, P. (2011) ICT for water efficiency. London: INTECH Open Access Publisher.
Sempere-Payá V., Todolí-Ferrandis, D., & Santonja-Climent S. (2013). ICT as an enabler to smart water management. In S. C. Mukhopadhyay & A. Mason (Eds.), Smart sensors for real-time water quality monitoring (pp. 239–258).
Demir, I., & Krajewski, W. F. (2013). Towards an integrated flood information system: Centralized data access, analysis, and visualization. Environmental Modelling and Software, 50, 77–84.
Demir, I. (2010). Integrated web-based data management, analysis and visualization: Towards an adaptive watershed information system. Dissertation, University of Georgia.
Tarboton, D. G., Horsburgh, J. S., Maidment, D. R., Whiteaker, T., Zaslavsky, I., Piasecki, M., et al. (2009). Development of a community hydrologic information system. Modelling and Simulation Society of Australia and New Zealand and International Association for Mathematics and Computers in Simulation (pp. 988–994).
Williams, D. N., Ananthakrishnan, R., Bernholdt, D. E., Bharathi, S., Brown, D. I., Chen, M., et al. (2009). The earth system grid: Enabling access to multimodel climate simulation data. Bulletin of the American Meteorological Society, 90, 195–205.
Demir, I., & Beck, M. B. (2009). GWIS: A prototype information system for Georgia Watersheds, Paper 6.6.4. In Proceedings Georgia Water Resources Conference: Regional Water Management Opportunities. Athens, GA, USA: UGA. April 27–29, 2009.
Demir, I., Jiang, F., Villarroel Walker, R., Parker, A. K., & Beck, M. B. (2009). Information systems and social legitimacy: Scientific visualization of water quality. In Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX, USA (pp. 1093–1098), October 11–14, 2009.
Downton, M. W., & Pielke, R. A., Jr. (2001). Discretion without accountability: Politics, flood damage and climate. Natural Hazards Review, 2(4), 157–166.
Hayden, M. H., Drobot, S., Radil, S., Benight, C., Gruntfest, E. C., & Barnes, L. R. (2007). Information sources for flash flood warnings in Denver, CO, and Austin, TX. Environmental Hazards, 7, 211–219.
Lindell, M. K., & Perry, R. W. (2004). Communicating environmental risk in multiethnic communities. Thousand Oaks, CA: Sage.
Handmer, J. (2001). Improving flood warnings in Europe: A research and policy agenda. Environmental Hazards, 3, 19–28.
Frick, J., & Hegg, C. (2011). Can end-users’ flood management decision making be improved by information about forecast uncertainty? Atmospheric Research, 100(2–3), 296–303.
Lee, D. F., Felix, J. R. A., He, S., Offenhuber, D., & Ratti, C. (2015). CityEye: Real-time visual dashboard for managing urban services and citizen feedback loops. In Computers in Urban Planning and Urban Management Conference.
Kitchin, R. (2014). The real-time city? Big data and smart urbanism. GeoJournal, 79(1), 1–14.
Kitchin, R., Lauriault, T. P., & McArdle, G. (2015). Knowing and governing cities through urban indicators, city benchmarking and real-time dashboards. Regional Studies, Regional Science, 2(1), 6–28.
Emily, A., Tennevin, G., Mangan, C. (2010). Etude hydrogéologique des nappes profondes de la basse-vallée du Var (Alpes-Maritimes). Nice: H2EA Consulting Firm and Mangan Consulting Firm.
Potot, C., Féraud, G., Schärer, U., Barats, A., Durrieu, G., Le Poupon, C., et al. (2012). Groundwater and river baseline quality using major, trace elements, organic carbon and Sr–Pb–O isotopes in a Mediterranean catchment: The case of the Lower Var Valley (south-eastern France). Journal of Hydrology, 472, 126–147.
Moulin, M. (2009) Nappe de la basse vallée du Var (Alpes-Maritimes), suivis 2006 quantité et qualité. BRGM, France.
Guglielmi, Y. (1993). Hydrogéologie des aquifères Plio-Quaternaires de la basse vallée du Var. PhD thesis, Université d’Avignon et des Pays du Vaucluse, France.
Guglielmi, Y., & Mudry, J. (1996). Estimation of spatial and temporal variability of recharge fluxes to an alluvial aquifer in a fore land area by water chemistry and isotopes. Groundwater, 34(6), 1017–1023.
IBM. (2013). Intelligent operations center for smarter cities, providing operational insight to help city leaders build and manage a safer, smarter city. GQS12351-USEN-01, New York.
Batica, J., & Gourbesville, P. (2011) Methodology for flood resilience index development. In Proceedings of the 34th World Congress of the International Association for Hydro-Environment Research and Engineering: 33rd Hydrology and Water Resources Symposium and 10th Conference on Hydraulics in Water Engineering (p. 48). Barton: Engineers Australia.
Batica, J., Hu, F. Y., & Gourbesville, P. (2012). Flood resilience and urban systems: Nice and Taipei case studies. In Comprehensive Flood Risk Management: Research for Policy and Practice (p. 348).
Acknowledgements
This research is currently developed within the AquaVar project with the support of Metropole Nice Côte d’Azur, Agence de l’Eau Rhone Mediterranéen, Nice Sophia Antipolis University, Conseil Départemental 06, and Meteo France. The work benefited from the data provided by the Metropole Nice Côte d’Azur, Conseil Départemental 06, Meteo France, and H2EA.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Gourbesville, P., Du, M., Zavattero, E., Ma, Q., Gaetano, M. (2018). Decision Support System Architecture for Real-Time Water Management. In: Gourbesville, P., Cunge, J., Caignaert, G. (eds) Advances in Hydroinformatics . Springer Water. Springer, Singapore. https://doi.org/10.1007/978-981-10-7218-5_17
Download citation
DOI: https://doi.org/10.1007/978-981-10-7218-5_17
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-7217-8
Online ISBN: 978-981-10-7218-5
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)