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Models for Better Environmental Intelligent Management within Water Supply Systems

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  • Izabela Rojek

Abstract

The paper presents models for better environmental intelligent management within water supply systems. The following computer models were developed: supervising parameters (pressure and flow) of water supply network (classification models in the form of neural networks, hybrid neural networks, decision trees and multiple decision trees), forecasting of water supply network load in different intervals of time (prediction models in the form of neural networks and hybrid neural networks), preferences for network operator and consumer in the form of decision rules and decision trees, classification of exceptions, typical examples and preferences for controlling water flow, controlling of pumps in the water supply network in the form of decision and activity rules and controlling of pumps for filling up retention tanks in the form of decision and action rules. These models were compared with a view to obtaining optimal models to control the parameters of water supply networks. The models are embedded in intelligent decision support system with a knowledge acquisition module. The research was done for Municipal Water Supply and Sewage Company in Rzeszów, Poland. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Izabela Rojek, 2014. "Models for Better Environmental Intelligent Management within Water Supply Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 3875-3890, September.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:12:p:3875-3890
    DOI: 10.1007/s11269-014-0654-7
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    1. George Panagopoulos & George Bathrellos & Hariklia Skilodimou & Faini Martsouka, 2012. "Mapping Urban Water Demands Using Multi-Criteria Analysis and GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(5), pages 1347-1363, March.
    2. B. Yan & X. Su & Y. Chen, 2009. "Functional Structure and Data Management of Urban Water Supply Network Based on GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(13), pages 2633-2653, October.
    3. Sara Nazif & Mohammad Karamouz & Massoud Tabesh & Ali Moridi, 2010. "Pressure Management Model for Urban Water Distribution Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(3), pages 437-458, February.
    4. Salvatore Campisi-Pinto & Jan Adamowski & Gideon Oron, 2012. "Forecasting Urban Water Demand Via Wavelet-Denoising and Neural Network Models. Case Study: City of Syracuse, Italy," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(12), pages 3539-3558, September.
    5. Helena Ramos & Silja Tamminen & Dídia Covas, 2009. "Water Supply System Performance for Different Pipe Materials Part II: Sensitivity Analysis to Pressure Variation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(2), pages 367-393, January.
    6. M. Tabesh & H. Saber, 2012. "A Prioritization Model for Rehabilitation of Water Distribution Networks Using GIS," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 225-241, January.
    7. David J. Hand & Heikki Mannila & Padhraic Smyth, 2001. "Principles of Data Mining," MIT Press Books, The MIT Press, edition 1, volume 1, number 026208290x, December.
    8. Graham Turner & Timothy Baynes & Bertram McInnis, 2010. "A Water Accounting System for Strategic Water Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(3), pages 513-545, February.
    9. Md. Islam & Toshiya Aramaki & Keisuke Hanaki, 2005. "Development and Application of an Integrated Water Balance Model to Study the Sensitivity of the Tokyo Metropolitan Area Water Availability Scenario to Climatic Changes," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(4), pages 423-445, August.
    10. T. Bhakdisongkhram & S. Koottatep & S. Towprayoon, 2007. "A Water Model for Water and Environmental Management at Mae Moh Mine Area in Thailand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(9), pages 1535-1552, September.
    11. Mahmut Firat & Mehmet Yurdusev & Mustafa Turan, 2009. "Evaluation of Artificial Neural Network Techniques for Municipal Water Consumption Modeling," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(4), pages 617-632, March.
    12. Gunhui Chung & Kevin Lansey, 2009. "Application of the Shuffled Frog Leaping Algorithm for the Optimization of a General Large-Scale Water Supply System," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(4), pages 797-823, March.
    13. A. kumar & Manish Goyal & C. Ojha & R. Singh & P. Swamee & R. Nema, 2013. "Application of ANN, Fuzzy Logic and Decision Tree Algorithms for the Development of Reservoir Operating Rules," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(3), pages 911-925, February.
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