IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v19y2005i3p211-231.html
   My bibliography  Save this article

A Daily Water Balance Modelling Approach for Simulating Performance of Tank-Based Irrigation Systems

Author

Listed:
  • Qiongfang Li
  • John Gowing

Abstract

Tanks are small reservoirs, which are widely distributed in South India and Sri Lanka, where they represent an important water resource for people, crops, livestock and fish. Considerable efforts have been made to rehabilitate tank irrigation systems in recent decades, but there have been few studies carried out to improve understanding of their hydrology. This paper presents a daily water balance approach, which aims to simulate the dynamic behaviour of tank storage. The model was validated over four seasons for two representative tanks within Mahaweli System H, a major irrigation system in the dry zone of Sri Lanka. Use of the model to evaluate current performance and scope for improvement is demonstrated. Copyright Springer Science + Business Media, Inc. 2005

Suggested Citation

  • Qiongfang Li & John Gowing, 2005. "A Daily Water Balance Modelling Approach for Simulating Performance of Tank-Based Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 19(3), pages 211-231, June.
  • Handle: RePEc:spr:waterr:v:19:y:2005:i:3:p:211-231
    DOI: 10.1007/s11269-005-2702-9
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-005-2702-9
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11269-005-2702-9?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. Itakura, J., 1995. "Water balance model for planning rehabilitation of a tank cascade irrigation system in Sri Lanka," IWMI Working Papers H018427, International Water Management Institute.
    2. Mitchell, P. L., 1997. "Misuse of regression for empirical validation of models," Agricultural Systems, Elsevier, vol. 54(3), pages 313-326, July.
    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. Jiang Wu & Jianzhong Zhou & Lu Chen & Lei Ye, 2015. "Coupling Forecast Methods of Multiple Rainfall–Runoff Models for Improving the Precision of Hydrological Forecasting," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(14), pages 5091-5108, November.
    2. Shao, Dongguo & Tan, Xuezhi & Liu, Huanhuan & Yang, Haidong & Xiao, Chun & Yang, Fengshun, 2013. "Performance analysis of on-farm irrigation tanks on agricultural drainage water reuse and treatment," Resources, Conservation & Recycling, Elsevier, vol. 75(C), pages 1-13.
    3. Mohammed Salem & Wasef Al-Zayadneh & Abdul Cheruth, 2010. "Water Conservation and Management with Hydrophobic Encapsulation of Sand," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2237-2246, August.
    4. Changsen Zhao & Bing Shen & Lingmei Huang & Zhidong Lei & Heping Hu & Shixiu Yang, 2009. "A Dissipative Hydrological Model for the Hotan Oasis (DHMHO)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(6), pages 1183-1210, April.
    5. Kim, Daeha & Eum, Hyung-Il & Kaluarachchi, Jagath J. & Chun, Jong Ahn, 2019. "A sensitivity-based analysis for managing storage capacity of a small agricultural reservoir under drying climate," Agricultural Water Management, Elsevier, vol. 213(C), pages 410-418.
    6. K. Ramakrishnan & C. Suribabu & T. Neelakantan, 2010. "Crop Calendar Adjustment Study for Sathanur Irrigation System in India Using Genetic Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(14), pages 3835-3851, November.
    7. Koppuravuri Ramabrahmam & Venkata Reddy Keesara & Raghavan Srinivasan & Deva Pratap & Venkataramana Sridhar, 2021. "Flow Simulation and Storage Assessment in an Ungauged Irrigation Tank Cascade System Using the SWAT Model," Sustainability, MDPI, vol. 13(23), pages 1-18, November.
    8. Shu Chen & Dongguo Shao & Xudong Li & Caixiu Lei, 2016. "Simulation-Optimization Modeling of Conjunctive Operation of Reservoirs and Ponds for Irrigation of Multiple Crops Using an Improved Artificial Bee Colony Algorithm," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 2887-2905, July.
    9. Yoichi Fujihara & Masato Oda & Naoki Horikawa & Chikara Ogura, 2011. "Hydrologic Analysis of Rainfed Rice Areas Using a Simple Semi-distributed Water Balance Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(9), pages 2061-2080, July.
    10. Jianxia Chang & Yanbin Kan & Yimin Wang & Qiang Huang & Lei Chen, 2017. "Conjunctive Operation of Reservoirs and Ponds Using a Simulation-Optimization Model of Irrigation Systems," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(3), pages 995-1012, February.

    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. Alagarswamy, G. & Singh, P. & Hoogenboom, G. & Wani, S. P. & Pathak, P. & Virmani, S. M., 2000. "Evaluation and application of the CROPGRO-Soybean simulation model in a Vertic Inceptisol," Agricultural Systems, Elsevier, vol. 63(1), pages 19-32, January.
    2. J. Sales, 2009. "The error associated with the prediction of digestible protein contents of fish diets from tabulated values," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 54(11), pages 498-509.
    3. O'Neal, Monte R. & Frankenberger, Jane R. & Ess, Daniel R., 2002. "Use of CERES-Maize to study effect of spatial precipitation variability on yield," Agricultural Systems, Elsevier, vol. 73(2), pages 205-225, August.
    4. Wan, Liqiang & Zhang, Baisen & Kemp, Peter & Li, Xianglin, 2009. "Modelling the abundance of three key plant species in New Zealand hill-pasture using a decision tree approach," Ecological Modelling, Elsevier, vol. 220(15), pages 1819-1825.
    5. Martin Schönhart & Erwin Schmid & Uwe A. Schneider, 2009. "CropRota – A Model to Generate Optimal Crop Rotations from Observed Land Use," Working Papers 452009, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    6. Sujith S. Ratnayake & Lalit Kumar & Punchi B. Dharmasena & Harsha K. Kadupitiya & Champika S. Kariyawasam & Danny Hunter, 2021. "Sustainability of Village Tank Cascade Systems of Sri Lanka: Exploring Cascade Anatomy and Socio-Ecological Nexus for Ecological Restoration Planning," Challenges, MDPI, vol. 12(2), pages 1-23, September.
    7. Bouman, B.A.M. & van Laar, H.H., 2006. "Description and evaluation of the rice growth model ORYZA2000 under nitrogen-limited conditions," Agricultural Systems, Elsevier, vol. 87(3), pages 249-273, March.
    8. Correndo, Adrian A. & Hefley, Trevor J. & Holzworth, Dean P. & Ciampitti, Ignacio A., 2021. "Revisiting linear regression to test agreement in continuous predicted-observed datasets," Agricultural Systems, Elsevier, vol. 192(C).
    9. M. Sezer & S. Tarhan, 2005. "Model parameters of growth curves of three meat-type lines of Japanese quail," Czech Journal of Animal Science, Czech Academy of Agricultural Sciences, vol. 50(1), pages 22-30.
    10. Tedeschi, Luis Orlindo, 2006. "Assessment of the adequacy of mathematical models," Agricultural Systems, Elsevier, vol. 89(2-3), pages 225-247, September.
    11. Piñeiro, Gervasio & Perelman, Susana & Guerschman, Juan P. & Paruelo, José M., 2008. "How to evaluate models: Observed vs. predicted or predicted vs. observed?," Ecological Modelling, Elsevier, vol. 216(3), pages 316-322.
    12. Schönhart, Martin & Schmid, Erwin & Schneider, Uwe A., 2009. "CropRota – A Model to Generate Optimal Crop Rotations from Observed Land Use," Discussion Papers DP-45-2009, University of Natural Resources and Life Sciences, Vienna, Department of Economics and Social Sciences, Institute for Sustainable Economic Development.
    13. Zhang, Baisen & Valentine, Ian & Kemp, Peter & Lambert, Greg, 2006. "Predictive modelling of hill-pasture productivity: integration of a decision tree and a geographical information system," Agricultural Systems, Elsevier, vol. 87(1), pages 1-17, January.
    14. McCall, D. G. & Bishop-Hurley, G. J., 2003. "A pasture growth model for use in a whole-farm dairy production model," Agricultural Systems, Elsevier, vol. 76(3), pages 1183-1205, June.
    15. Tedeschi, Luis Orlindo & Fox, Danny G. & Guiroy, Pablo J., 2004. "A decision support system to improve individual cattle management. 1. A mechanistic, dynamic model for animal growth," Agricultural Systems, Elsevier, vol. 79(2), pages 171-204, February.
    16. Bockstaller, C. & Girardin, P., 2003. "How to validate environmental indicators," Agricultural Systems, Elsevier, vol. 76(2), pages 639-653, May.
    17. repec:zbw:inwedp:452009 is not listed on IDEAS
    18. Şükrü İmre & Fatih Canıtez & Dilay Çelebi, 2021. "The Socio-Technical Transition to Electric Vehicle Mobility in Turkey: A Multi-Level Perspective," International Journal of Operations Research and Information Systems (IJORIS), IGI Global, vol. 12(4), pages 1-17, October.

    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:19:y:2005:i:3:p:211-231. 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.