IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v15y2001i6p363-382.html
   My bibliography  Save this article

Decision-Support System for Domestic Water Demand Forecasting and Management

Author

Listed:
  • M. Froukh

Abstract

A decision support system (DFMS) for forecastingdomestic water demand including demand management was developedas part of a highly integrated decision-support system forriver-basin management. The system provides water resourcesplanners with the facilities for estimating future water demandfor domestic use for any demand region and time period, havingregard, to the possibility of introducing demand managementmeasures. The system has the capability of predicting domestic-water demand by various methods according to data availability.It can compute conservation effectiveness due to theimplementation of various demand-management measures,forecasting the number of customers for different consumptionunits (person, household and water connection) and facilitatingthe development of demand-scenarios for evaluating variousoptions. In general, the system comprises of the followingcomponents: (1) geographic information system, (2) databasemanagement system, (3) expert system, (4) multi-decisioncomponent, (5) prediction models, (6) user-interface, (7) hypertext files. The system has been tested and demonstratedusing the data of Swindon demand zone of Thames Water Utility. Copyright Kluwer Academic Publishers 2001

Suggested Citation

  • M. Froukh, 2001. "Decision-Support System for Domestic Water Demand Forecasting and Management," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 15(6), pages 363-382, December.
  • Handle: RePEc:spr:waterr:v:15:y:2001:i:6:p:363-382
    DOI: 10.1023/A:1015527117823
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1015527117823
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1023/A:1015527117823?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. J R Davis & I W Grant, 1987. "ADAPT: A Knowledge-Based Decision Support System for Producing Zoning Schemes," Environment and Planning B, , vol. 14(1), pages 53-66, March.
    2. Bonczek, Robert H. & Holsapple, Clyde W. & Whinston, Andrew B., 1981. "Foundations of Decision Support Systems," Elsevier Monographs, Elsevier, edition 1, number 9780121130503 edited by Schmidt, J. William.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Dilek Uz & Steven Buck, 2020. "Comparing Water Use Forecasting Model Selection Criteria: The Case of Commercial, Institutional, and Industrial Sector in Southern California," Sustainability, MDPI, vol. 12(10), pages 1-21, May.
    2. Lowry, Gordon & Bianeyin, Felix U. & Shah, Nirav, 2007. "Seasonal autoregressive modelling of water and fuel consumptions in buildings," Applied Energy, Elsevier, vol. 84(5), pages 542-552, May.
    3. Md Haque & Ataur Rahman & Dharma Hagare & Golam Kibria, 2014. "Probabilistic Water Demand Forecasting Using Projected Climatic Data for Blue Mountains Water Supply System in Australia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(7), pages 1959-1971, May.
    4. Jean-Daniel Rinaudo, 2015. "Long-Term Water Demand Forecasting," Post-Print hal-01183853, HAL.
    5. M. Yurdusev & P. O'connell, 2005. "Environmentally-Sensitive Water Resources Planning," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(4), pages 375-397, August.
    6. Edy Fradinata & Sakesun Suthummanon & Wannarat Suntiamorntut, 2015. "Forecasting Determinant of Cement Demand in Indonesia with Artificial Neural Network," Journal of Asian Scientific Research, Asian Economic and Social Society, vol. 5(7), pages 373-384, July.
    7. M. Yurdusev & A. Kumanlıoğlu, 2008. "Survey-Based Estimation of Domestic Water Saving Potential in the Case of Manisa City," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 22(3), pages 291-305, March.
    8. Jean-Daniel Rinaudo, 2015. "Long-Term Water Demand Forecasting," Post-Print hal-01290178, HAL.
    9. Kostas Bithas & Chrysostomos Stoforos, 2006. "Estimating Urban Residential Water Demand Determinants and Forecasting Water Demand for Athens Metropolitan Area, 2000-2010," South-Eastern Europe Journal of Economics, Association of Economic Universities of South and Eastern Europe and the Black Sea Region, vol. 4(1), pages 47-59.
    10. Mohamed Mohamed & Aysha Al-Mualla, 2010. "Water Demand Forecasting in Umm Al-Quwain (UAE) Using the IWR-MAIN Specify Forecasting Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 4093-4120, November.
    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. Aminou Arouna & Stephan Dabbert, 2010. "Determinants of Domestic Water Use by Rural Households Without Access to Private Improved Water Sources in Benin: A Seemingly Unrelated Tobit Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(7), pages 1381-1398, May.
    13. Abdüsselam Altunkaynak & Mehmet Özger & Mehmet Çakmakci, 2005. "Water Consumption Prediction of Istanbul City by Using Fuzzy Logic Approach," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(5), pages 641-654, October.
    14. Fullerton, Thomas M., Jr. & Ceballos, Alejandro & Walke, Adam G., 2015. "Short-Term Forecasting Analysis for Municipal Water Demand," MPRA Paper 78259, University Library of Munich, Germany, revised 04 Aug 2015.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. M P Armstrong & S De & P J Densham & P Lolonis & G Rushton & V K Tewari, 1990. "A Knowledge-Based Approach for Supporting Locational Decisionmaking," Environment and Planning B, , vol. 17(3), pages 341-364, September.
    2. Manuel Casal-Guisande & Alberto Comesaña-Campos & Alejandro Pereira & José-Benito Bouza-Rodríguez & Jorge Cerqueiro-Pequeño, 2022. "A Decision-Making Methodology Based on Expert Systems Applied to Machining Tools Condition Monitoring," Mathematics, MDPI, vol. 10(3), pages 1-30, February.
    3. Parham Fami Tafreshi & Mohammad Hasan Aghdaie & Majid Behzadian & Mahdieh Ghani Abadi, 2016. "Developing a Group Decision Support System for Advertising Media Evaluation: A Case in the Middle East," Group Decision and Negotiation, Springer, vol. 25(5), pages 1021-1048, September.
    4. Schmidt, Reinhart, 1983. "The usage of an interactive modeling system," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 127, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    5. Gabriela GHEORGHE & Ioana LUPASC, 2013. "Opportunities to Improve the Competitiveness of Romanian Organizations," Economics and Applied Informatics, "Dunarea de Jos" University of Galati, Faculty of Economics and Business Administration, issue 2, pages 25-32.
    6. Therani Madhusudan, 2007. "A web services framework for distributed model management," Information Systems Frontiers, Springer, vol. 9(1), pages 9-27, March.
    7. Iulia Stamatescu & Nicoleta Arghira & Ioana Făgărăşan & Grigore Stamatescu & Sergiu Stelian Iliescu & Vasile Calofir, 2017. "Decision Support System for a Low Voltage Renewable Energy System," Energies, MDPI, vol. 10(1), pages 1-15, January.
    8. Jorge Cerqueiro-Pequeño & Alberto Comesaña-Campos & Manuel Casal-Guisande & José-Benito Bouza-Rodríguez, 2020. "Design and Development of a New Methodology Based on Expert Systems Applied to the Prevention of Indoor Radon Gas Exposition Risks," IJERPH, MDPI, vol. 18(1), pages 1-32, December.
    9. Xijin Tang, 2007. "Towards Meta-Synthetic Support To Unstructured Problem Solving," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 6(03), pages 491-508.
    10. Harsh, Stephen B., 1987. "The Design and Implementation of an On-Farm Decision Support System," Staff Paper Series 200929, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    11. Clyde Holsapple & Hsiangchu Lai & Andrew Whinston, 1997. "Implications of Negotiation Theory for Research and Development of Negotiation Support Systems," Group Decision and Negotiation, Springer, vol. 6(3), pages 255-274, May.
    12. Eom, Sean B., 1998. "Relationships between the decision support system subspecialities and reference disciplines: An empirical investigation," European Journal of Operational Research, Elsevier, vol. 104(1), pages 31-45, January.
    13. J R Davis & I W Grant, 1987. "ADAPT: A Knowledge-Based Decision Support System for Producing Zoning Schemes," Environment and Planning B, , vol. 14(1), pages 53-66, March.
    14. Pomerol, Jean-Charles, 1997. "Artificial intelligence and human decision making," European Journal of Operational Research, Elsevier, vol. 99(1), pages 3-25, May.
    15. Sheenu Jain, 2009. "Modern Knowledge Management and Computer-based Technology," Global Business Review, International Management Institute, vol. 10(2), pages 159-171, July.
    16. Harsh, Stephen B., 1987. "Modern Information Systems for Agriculture: Theoretical Concepts and Practical Applications," Staff Paper Series 200948, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    17. Harsh, Stephen, 1987. "Decision Support Systems Definition and Overview," 1987 Annual Meeting, August 2-5, East Lansing, Michigan 337263, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Clyde W. Holsapple & Hsiangchu Lai & Andrew B. Whinston, 1998. "A Formal Basis for Negotiation Support System Research," Group Decision and Negotiation, Springer, vol. 7(3), pages 203-227, May.
    19. Van Beek, William J. & Fletcher, Jerald J., 1987. "EXPERT SYSTEMS: Passing Fad or Lasting Contribution?," 1987 Annual Meeting, August 2-5, East Lansing, Michigan 269932, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    20. Jan Cuilenburg & Jan Kleinnijenhuis & Jan Ridder, 1988. "Artificial intelligence and content analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 22(1), pages 65-97, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:15:y:2001:i:6:p:363-382. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.