Spatial Mapping of Water Productivity in Irrigation System Using Geo-information Techniques

Shahbaz Khan, Mohsin Hafeez

Research output: Book chapter/Published conference paperConference paperpeer-review

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In the context of required increase of food production for rapid population growth, it is critical to improve the productivity of water in the irrigation systems. It may require a lot of field investigations to gather this information at large and especially complex systems like the Liyuankou Irrigation System (LIS), located in located on the right bank of Yellow River in North West China. The use of geo-information techniques such as remote sensing and GIS data has come to override most of the difficulties encountered in collection of large amount of data, especially following the state-of-the-art development on the calculation of actual evapotranspiration.The Surface Energy Balance Algorithm for Land (SEBAL) has been applied to 13 NOAAAVHRR 11-12 images in the LIS for the summer season (April-October) of 1994. This analysis was aided by the unsupervised land use classification applied to Landsat 5 TM image at the peak of growing season over the study area. The water accounting and productivity framework was applied to measure both the water use within the system and the water productivity of LIS.Unsupervised classification (ISODATA clustering algorithm) was applied to Landsat 5 TM image and the results showed that agricultural crop classification has accuracy greater than 81% and the overall accuracy and kappa coefficient associated with classification are 78% and 0.75, respectively. SEBAL results showed that a large amount of water (210 MCM) was lost through non-beneficial ET including from fallow land, bare soil, water bodies and others during 1994. Similarly, a considerable amount of water (125 MCM) was lost through evaporation from fallow land during 1994, which needs to be reduced to improve water productivity of the irrigation system.The process fraction per unit of depleted water PFdepleted is 0.47 for LIS, meaning that 47% of the depleted water is consumed by the agricultural crop and 53% is lost through non-process depletion. The results also prove earlier findings of Khan et al., (2006) that high amount of water is depleted through non-process depletion for LIS. WPirrigation is 0.94 kg/m3 which show that there is a considerable scope for improvement in our study area by reducing the nonbeneficial outflows from agriculture fields and/or by increasing the yield. Results proved that geo information techniques are providing cost effective way (free NOAA-AVHRR images) for spatial mapping and assessing water productivity factors at different spatial scales, answering to water management for better decision making requirements.
Original languageEnglish
Title of host publicationLand, Water & Environmental Management
Subtitle of host publicationIntegrated Systems for Sustainability.
EditorsLes Oxley, Don Kulasiri
Place of PublicationChristchurch, New Zealand
PublisherModelling and Simulation Society of Australia and New Zealand
Number of pages7
ISBN (Electronic)9780975840047
Publication statusPublished - 2007
EventInternational Congress on Modelling and Simulation (MODSIM) - Christchurch, New Zealand
Duration: 10 Dec 200713 Dec 2007


ConferenceInternational Congress on Modelling and Simulation (MODSIM)
Country/TerritoryNew Zealand


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