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Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region

Author

Listed:
  • Muhammad Usman

    (Department of Geoecology, Institute of Geosciences and Geography, University of Halle-Wittenberg, 06120 Halle, Germany
    Department of Remote Sensing, Institute of Geography and Geology, University of Würzburg, 97074 Würzburg, Germany)

  • Talha Mahmood

    (Department of Geoecology, Institute of Geosciences and Geography, University of Halle-Wittenberg, 06120 Halle, Germany)

  • Christopher Conrad

    (Department of Geoecology, Institute of Geosciences and Geography, University of Halle-Wittenberg, 06120 Halle, Germany)

  • Habib Ullah Bodla

    (Program Monitoring and Implementation Unit (PMIU), Irrigation Department Punjab, Old Anarkali, Lahore 54000, Pakistan)

Abstract

Water crises are becoming severe in recent times, further fueled by population increase and climate change. They result in complex and unsustainable water management. Spatial estimation of consumptive water use is vital for performance assessment of the irrigation system using Remote Sensing (RS). For this study, its estimation is done using the Soil Energy Balance Algorithm for Land (SEBAL) approach. Performance indicators including equity, adequacy, and reliability were worked out at various spatiotemporal scales. Moreover, optimization and sustainable use of water resources are not possible without knowing the factors mainly influencing consumptive water use of major crops. For that purpose, random forest regression modelling was employed using various sets of factors for site-specific, proximity, and cropping system. The results show that the system is underperforming both for Kharif (i.e., summer) and Rabi (i.e., winter) seasons. Performance indicators highlight poor water distribution in the system, a shortage of water supply, and unreliability. The results are relatively good for Rabi as compared to Kharif, with an overall poor situation for both seasons. Factors importance varies for different crops. Overall, distance from canal, road density, canal density, and farm approachability are the most important factors for explaining consumptive water use. Auditing of consumptive water use shows the potential for resource optimization through on-farm water management by the targeted approach. The results are based on the present situation without considering future changes in canal water supply and consumptive water use under climate change.

Suggested Citation

  • Muhammad Usman & Talha Mahmood & Christopher Conrad & Habib Ullah Bodla, 2020. "Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region," Sustainability, MDPI, vol. 12(22), pages 1-33, November.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:22:p:9535-:d:445885
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    References listed on IDEAS

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    2. Mekonnen, Yilkal Gebeyehu & Alamirew, Tena & Tadesse, Kassahun Birhanu & Chukalla, Abebe Demissie, 2024. "Monitoring small-scale irrigation performance using remote sensing in the Upper Blue Nile Basin, Ethiopia," Agricultural Water Management, Elsevier, vol. 300(C).
    3. Muturi, Jackline W. & Ndehedehe, Christopher E. & Kennard, Mark J., 2025. "A review of the use of remote sensing techniques in assessing irrigation water use," Agricultural Water Management, Elsevier, vol. 319(C).

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