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Regional-scale evaluation of tertiary irrigation system in Muda Irrigation Scheme from space

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  • Zahir, Aliya Mhd
  • Somura, Hiroaki
  • Moroizumi, Toshitsugu

Abstract

A tertiary irrigation system is essential for efficient water management in large-scale irrigation scheme and requires regular evaluation to understand their effectiveness. The current water balance method for tertiary irrigation system evaluation requires extensive data, making continuous monitoring over vast areas unfeasible. A better approach using geospatial data from the Google Earth Engine (GEE) is introduces to evaluate the efficiency of tertiary irrigation systems on a regional scale, aiding water management strategies. This study aims to (1) define the rice cultivation boundary for accurate data collection and (2) quantitatively evaluate irrigation system performance using specific indicators. Remote sensing evapotranspiration (RS-ET) and yield derived from Normalized Difference Vegetation Index (NDVI) were collected within rice cultivation boundary across 60 irrigation blocks, including 14 blocks equipped with tertiary irrigation system in Region II of the Muda Irrigation Scheme. Three irrigation system performance indicators (equity, adequacy, and water productivity) were used as a key metric in over four rice-growing seasons to evaluate tertiary irrigation system. Results reveal that tertiary irrigation system performance varies with the current three-phase water management strategy. Equity performance was highest during the off-season, particularly in phase 1 (2–8 %). Adequacy was moderate across all phases and seasons (median: 0.6–0.67), while water productivity showed consistent strength in phases 1 and 3, with fluctuations in phase 2, across seasons. This study underscores the cost-effectiveness and efficiency of using geospatial data from space for continuous regional-scale monitoring, highlighting areas for improvement in the current water management strategy.

Suggested Citation

  • Zahir, Aliya Mhd & Somura, Hiroaki & Moroizumi, Toshitsugu, 2024. "Regional-scale evaluation of tertiary irrigation system in Muda Irrigation Scheme from space," Agricultural Water Management, Elsevier, vol. 306(C).
    • Handle: RePEc:eee:agiwat:v:306:y:2024:i:c:s0378377424005110
    DOI: 10.1016/j.agwat.2024.109175
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    1. Elshaikh, Ahmed E. & Jiao, Xiyun & Yang, Shi-hong, 2018. "Performance evaluation of irrigation projects: Theories, methods, and techniques," Agricultural Water Management, Elsevier, vol. 203(C), pages 87-96.
    2. Cabangon, R. J. & Tuong, T. P. & Abdullah, N. B., 2002. "Comparing water input and water productivity of transplanted and direct-seeded rice production systems," Agricultural Water Management, Elsevier, vol. 57(1), pages 11-31, September.
    3. Vandersypen, Klaartje & Bengaly, Kongotigui & Keita, Abdoulaye C.T. & Sidibe, Souleymane & Raes, Dirk & Jamin, Jean-Yves, 2006. "Irrigation performance at tertiary level in the rice schemes of the Office du Niger (Mali): Adequate water delivery through over-supply," Agricultural Water Management, Elsevier, vol. 83(1-2), pages 144-152, May.
    4. Bos, M. G. & Burton, M. A. & Molden, David J., 2005. "Irrigation and drainage performance assessment: practical guidelines," IWMI Books, Reports H037064, International Water Management Institute.
    5. Zwart, Sander J. & Bastiaanssen, Wim G.M., 2007. "SEBAL for detecting spatial variation of water productivity and scope for improvement in eight irrigated wheat systems," Agricultural Water Management, Elsevier, vol. 89(3), pages 287-296, May.
    6. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
    7. Mohamed Kharrou & Michel Le Page & Ahmed Chehbouni & Vincent Simonneaux & Salah Er-Raki & Lionel Jarlan & Lahcen Ouzine & Said Khabba & Ghani Chehbouni, 2013. "Assessment of Equity and Adequacy of Water Delivery in Irrigation Systems Using Remote Sensing-Based Indicators in Semi-Arid Region, Morocco," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(13), pages 4697-4714, October.
    8. Ahmad, M.D. & Turral, H. & Nazeer, A., 2009. "Diagnosing irrigation performance and water productivity through satellite remote sensing and secondary data in a large irrigation system of Pakistan," Agricultural Water Management, Elsevier, vol. 96(4), pages 551-564, April.
    9. Thakur, Amod K. & Mandal, Krishna G. & Mohanty, Rajeeb K. & Ambast, Sunil K., 2018. "Rice root growth, photosynthesis, yield and water productivity improvements through modifying cultivation practices and water management," Agricultural Water Management, Elsevier, vol. 206(C), pages 67-77.
    10. Nur Shuhamin Nazuri & Norsida Man, 2016. "Acceptance and Practices on New Paddy Seed Variety Among Farmers in MADA Granary Area," Academic Journal of Interdisciplinary Studies, Richtmann Publishing Ltd, vol. 5, July.
    11. Usha Poudel & Haroon Stephen & Sajjad Ahmad, 2021. "Evaluating Irrigation Performance and Water Productivity Using EEFlux ET and NDVI," Sustainability, MDPI, vol. 13(14), pages 1-26, July.
    12. Paresh B. Shirsath & Vinay Kumar Sehgal & Pramod K. Aggarwal, 2020. "Downscaling Regional Crop Yields to Local Scale Using Remote Sensing," Agriculture, MDPI, vol. 10(3), pages 1-14, March.
    13. Bakhtiar Feizizadeh & Davoud Omarzadeh & Mohammad Kazemi Garajeh & Tobia Lakes & Thomas Blaschke, 2023. "Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 66(3), pages 665-697, February.
    14. Cai, X.L. & Sharma, B.R., 2010. "Integrating remote sensing, census and weather data for an assessment of rice yield, water consumption and water productivity in the Indo-Gangetic river basin," Agricultural Water Management, Elsevier, vol. 97(2), pages 309-316, February.
    15. G. Roerink & W. Bastiaanssen & J. Chambouleyron & M. Menenti, 1997. "Relating Crop Water Consumption to Irrigation Water Supply by Remote Sensing," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 11(6), pages 445-465, December.
    16. Alberto, Ma. Carmelita R. & Wassmann, Reiner & Hirano, Takashi & Miyata, Akira & Hatano, Ryusuke & Kumar, Arvind & Padre, Agnes & Amante, Modesto, 2011. "Comparisons of energy balance and evapotranspiration between flooded and aerobic rice fields in the Philippines," Agricultural Water Management, Elsevier, vol. 98(9), pages 1417-1430, July.
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