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

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). F...

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Main Authors: Muhammad Usman, Talha Mahmood, Christopher Conrad, Habib Ullah Bodla
Format: Article
Language:English
Published: MDPI AG 2020-11-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/22/9535
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spelling doaj-e5e396a9346a4d1f84a4370878fefd7d2020-11-25T04:11:17ZengMDPI AGSustainability2071-10502020-11-01129535953510.3390/su12229535Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated RegionMuhammad Usman0Talha Mahmood1Christopher Conrad2Habib Ullah Bodla3Department of Geoecology, Institute of Geosciences and Geography, University of Halle-Wittenberg, 06120 Halle, GermanyDepartment of Geoecology, Institute of Geosciences and Geography, University of Halle-Wittenberg, 06120 Halle, GermanyDepartment of Geoecology, Institute of Geosciences and Geography, University of Halle-Wittenberg, 06120 Halle, GermanyProgram Monitoring and Implementation Unit (PMIU), Irrigation Department Punjab, Old Anarkali, Lahore 54000, PakistanWater 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.https://www.mdpi.com/2071-1050/12/22/9535consumptive water useperformance assessmentindicator importance assessmentwater managementPakistan
collection DOAJ
language English
format Article
sources DOAJ
author Muhammad Usman
Talha Mahmood
Christopher Conrad
Habib Ullah Bodla
spellingShingle Muhammad Usman
Talha Mahmood
Christopher Conrad
Habib Ullah Bodla
Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region
Sustainability
consumptive water use
performance assessment
indicator importance assessment
water management
Pakistan
author_facet Muhammad Usman
Talha Mahmood
Christopher Conrad
Habib Ullah Bodla
author_sort Muhammad Usman
title Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region
title_short Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region
title_full Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region
title_fullStr Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region
title_full_unstemmed Remote Sensing and Modelling Based Framework for Valuing Irrigation System Efficiency and Steering Indicators of Consumptive Water Use in an Irrigated Region
title_sort remote sensing and modelling based framework for valuing irrigation system efficiency and steering indicators of consumptive water use in an irrigated region
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-11-01
description 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.
topic consumptive water use
performance assessment
indicator importance assessment
water management
Pakistan
url https://www.mdpi.com/2071-1050/12/22/9535
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AT talhamahmood remotesensingandmodellingbasedframeworkforvaluingirrigationsystemefficiencyandsteeringindicatorsofconsumptivewateruseinanirrigatedregion
AT christopherconrad remotesensingandmodellingbasedframeworkforvaluingirrigationsystemefficiencyandsteeringindicatorsofconsumptivewateruseinanirrigatedregion
AT habibullahbodla remotesensingandmodellingbasedframeworkforvaluingirrigationsystemefficiencyandsteeringindicatorsofconsumptivewateruseinanirrigatedregion
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