IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v21y2007i11p1915-1940.html
   My bibliography  Save this article

Hydrologic Data Exploration and River Flow Forecasting of a Humid Tropical River Basin Using Artificial Neural Networks

Author

Listed:
  • R. Gopakumar
  • Kaoru Takara
  • E. James

Abstract

The applicability of artificial neural networks (ANN) for modelling of daily river flows in a humid tropical river basin with seasonal rainfall pattern is investigated and the model performance assessed using the commonly adopted efficiency indices. Although the developed model showed satisfactory results for rainy period, the predicted hydrograph for the low flow period deviate from the observed data considerably. The rainfall and discharge data available for modelling is explored using Self Organizing Maps (SOM) and the subset of data having definite relationship between the selected hydrologic variables identified. The alternate approach for modelling of river flows utilising the knowledge from SOM analysis has improved the model results. The results show that ANN models can be adopted for forecasting of river flows in the humid tropical river basins for the monsoon period. Input data exploration using SOM is found helpful for developing logically sound ANN models. Copyright Springer Science+Business Media, Inc. 2007

Suggested Citation

  • R. Gopakumar & Kaoru Takara & E. James, 2007. "Hydrologic Data Exploration and River Flow Forecasting of a Humid Tropical River Basin Using Artificial Neural Networks," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 21(11), pages 1915-1940, November.
    • Handle: RePEc:spr:waterr:v:21:y:2007:i:11:p:1915-1940
    DOI: 10.1007/s11269-006-9137-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-006-9137-9
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-006-9137-9?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. Bolton, Roger E. & Jackson, Randall W. & West, Guy R., 1989. "Introduction," Socio-Economic Planning Sciences, Elsevier, vol. 23(5), pages 237-240.
    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. Raymond Kim & Daniel Loucks & Jery Stedinger, 2012. "Artificial Neural Network Models of Watershed Nutrient Loading," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2781-2797, August.
    2. Desalegn Edossa & Mukand Babel, 2011. "Application of ANN-Based Streamflow Forecasting Model for Agricultural Water Management in the Awash River Basin, Ethiopia," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(6), pages 1759-1773, April.
    3. Mehdi Rezaeian Zadeh & Seifollah Amin & Davar Khalili & Vijay Singh, 2010. "Daily Outflow Prediction by Multi Layer Perceptron with Logistic Sigmoid and Tangent Sigmoid Activation Functions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(11), pages 2673-2688, September.
    4. Marijana Hadzima-Nyarko & Anamarija Rabi & Marija Šperac, 2014. "Implementation of Artificial Neural Networks in Modeling the Water-Air Temperature Relationship of the River Drava," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1379-1394, March.
    5. Mohammed Seyam & Faridah Othman, 2014. "The Influence of Accurate Lag Time Estimation on the Performance of Stream Flow Data-driven Based Models," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(9), pages 2583-2597, July.
    6. Naser Dehghanian & S. Saeid Mousavi Nadoushani & Bahram Saghafian & Ruhangiz Akhtari, 2019. "Performance Evaluation of a Fuzzy Hybrid Clustering Technique to Identify Flood Source Areas," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(13), pages 4621-4636, October.

    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. Carla Castañeda, 2009. "How Liberal Peacebuilding May Be Failing Sierra Leone," Review of African Political Economy, Taylor & Francis Journals, vol. 36(120), pages 235-251, June.
    2. Haider, Adnan & Hanif, Muhammad Nadeem, 2007. "Inflation Forecasting in Pakistan using Artificial Neural Networks," MPRA Paper 14645, University Library of Munich, Germany.
    3. Kgothatso B. Shai, 2017. "South African State Capture: A Symbiotic Affair between Business and State Going Bad(?)," Insight on Africa, , vol. 9(1), pages 62-75, January.
    4. Kamala VALIYEVA, 2016. "The EU’s Eastern Partnership: Normative or Geopolitical Power Projection?," Eastern Journal of European Studies, Centre for European Studies, Alexandru Ioan Cuza University, vol. 7, pages 11-29, December.
    5. Antonio Hernández-Blanco & Boris Herrera-Flores & David Tomás & Borja Navarro-Colorado, 2019. "A Systematic Review of Deep Learning Approaches to Educational Data Mining," Complexity, Hindawi, vol. 2019, pages 1-22, May.
    6. Georgeta Ghebrea, 2018. "Using Interactive and Participant Methods: A Postmodern Shift in Political Science Research?," Postmodern Openings, Editura Lumen, Department of Economics, vol. 9(4), pages 1-15, December.
    7. Radhika Govinda, 2012. "Mapping ‘Gender Evaluation’ in South Asia," Indian Journal of Gender Studies, Centre for Women's Development Studies, vol. 19(2), pages 187-209, June.
    8. Bhagirath S. Chauhan & Prashant Jha, 2020. "Glyphosate Resistance in Sonchus oleraceus and Alternative Herbicide Options for Its Control in Southeast Australia," Sustainability, MDPI, vol. 12(20), pages 1-13, October.
    9. G. Page West III & Charles E. Bamford & Jesse W. Marsden, 2008. "Contrasting Entrepreneurial Economic Developments in Less-Developed Latin American Markets: Applications and Extensions of Resource-Based Theory," Discussion Paper Series 2008-03, McColl School of Business, Queens University of Charlotte.
    10. Ricardo Real P. Sousa, 2018. "The context of conflict resolution - international relations and the study of peace and conflict," CEsA Working Papers 164, CEsA - Centre for African and Development Studies.
    11. Mariam Bibilashvili, 2021. "Japan’s South Caucasian diplomacy: the development of Japanese foreign policy towards Georgia," Asia Europe Journal, Springer, vol. 19(3), pages 309-328, September.
    12. Lisa Kraus & Heike Proff, 2021. "Sustainable Urban Transportation Criteria and Measurement—A Systematic Literature Review," Sustainability, MDPI, vol. 13(13), pages 1-21, June.
    13. Joseph Smiles, 2011. "Floor Crossing in South Africa," Insight on Africa, , vol. 3(2), pages 159-175, July.
    14. G. Page West III & Charles E. Bamford & Jesse W. Marsden, 2008. "Contrasting Entrepreneurial Economic Development in Emerging Latin American Economies: Applications and Extensions of Resource-Based Theory," Entrepreneurship Theory and Practice, , vol. 32(1), pages 15-36, January.
    15. Dhiya Al-Jumeily & Rozaida Ghazali & Abir Hussain, 2014. "Predicting Physical Time Series Using Dynamic Ridge Polynomial Neural Networks," PLOS ONE, Public Library of Science, vol. 9(8), pages 1-15, August.
    16. Kate A. Smith, 1999. "Neural Networks for Combinatorial Optimization: A Review of More Than a Decade of Research," INFORMS Journal on Computing, INFORMS, vol. 11(1), pages 15-34, February.
    17. Zaman BUSHRA & Amin AMJAD, 2017. "Women, children and terrorism: social, economic and political costs (empirical investigation from Pakistan 2002-2015)," Romanian Journal of Economics, Institute of National Economy, vol. 44(1(53)), pages 107-120, June.
    18. Martina Dorigo, 2013. "Tackling Climate Change Through Social Change: A Comparative Analysis," Transition Studies Review, Springer;Central Eastern European University Network (CEEUN), vol. 19(3), pages 383-396, February.
    19. Ahmad Ali & Syed Imran Haider & Muhammad Ali, 2017. "Role of Identities in the Indo-Pak Relations: A Study in Constructivism," Global Regional Review, Humanity Only, vol. 2(1), pages 305-319, June.
    20. Sujit Lahiry, 2019. "Conflict, Peace and Security: An International Relations Perspective with Special Reference to India," Millennial Asia, , vol. 10(1), pages 76-90, April.

    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:21:y:2007:i:11:p:1915-1940. 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.