DETERMINATION OF CONSUMPTIVE WATER USE FOR RIVER BASINS BY REMOTE SENSING AND GIS TECHNIQUES

2003 ◽  
Vol 46 (6) ◽  
pp. 1515-1523
Author(s):  
D. G. Wagner ◽  
R. M. Hoffer ◽  
T. H. Podmore
Keyword(s):  
Remote Sensing ◽  
Water Use ◽  
River Basins ◽  
Remote Sensing And Gis ◽  
Consumptive Water Use ◽  
Gis Techniques ◽  
Consumptive Water

Remote Sensing based comparative analysis of cotton irrigation and water productivity in Pakistan, Turkey and Uzbekistan

2020 ◽  
Author(s):  
Muhammad Usman ◽  
Talha Mahmood ◽  
Christopher Conrad
Keyword(s):  
Remote Sensing ◽  
Water Use ◽  
Crop Yields ◽  
Water Productivity ◽  
The Other ◽  
Cotton Yield ◽  
Crop Water ◽  
Yield Estimation ◽  
Consumptive Water Use ◽  
Consumptive Water

<p>Textile products made with cotton produced in Pakistan, Turkey, and Uzbekistan are largely imported to European markets. This is responsible for high virtual water imports from these countries and thus puts immense pressure on their water resources, which is further extravagated due to climate change and population growth. The solution to combat the issue, on one hand, is to cut water usage for cotton irrigation, and on the other hand, to increase water productivity. The biggest challenge in this regard is the correct quantification of consumptive water use, cotton yield estimation and crop water productivities at a finer spatial resolution on regional levels, which is now possible by utilizing remote sensing (RS) data and approaches. It can also facilitate comparing regions of interest, like in this study, Pakistan, Turkey, and Uzbekistan by utilizing similar data and techniques. For the current study, MODIS data along with various climatic variables were utilized for the estimation of consumptive water use and cotton yield estimation by employing SEBAL and Light Use Efficiency (LUE) models, respectively. These estimations were then used for working out water productivities of different regions of selected countries as case studies. The results show that the study area in Turkey achieved maximum cotton water productivity (i.e. 0.75 - 1.2 kg.m<sup>-3</sup>) followed by those in Uzbekistan (0.05 – 0.85 kg.m<sup>-3</sup>) and Pakistan (0.04 – 0.23 kg.m<sup>-3</sup>).  The variability is higher for Uzbekistan possibly due to agricultural transition post-soviet-union era. In the case of Pakistan, the lower cotton water productivities are mainly attributed to lower crop yields (400 – 1200 kg.ha<sup>-1</sup>) in comparison to Turkey (3850 – 5800 kg.ha<sup>-1</sup>) and Uzbekistan (450 – 2500 kg.ha<sup>-1</sup>). Although the highest crop water productivity is achieved for the study region in Turkey, there is still potential for further improvement by introducing on-farm water management. In the case of the other two countries, especially for Pakistan, major improvements are possible through maximizing crop yields. The next steps include comparisons of the results in economic out-turns.</p>

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

2020 ◽  
Vol 12 (22) ◽  
pp. 9535
Author(s):  
Muhammad Usman ◽  
Talha Mahmood ◽  
Christopher Conrad ◽  
Habib Ullah Bodla
Keyword(s):  
Climate Change ◽  
Water Management ◽  
Remote Sensing ◽  
Water Supply ◽  
Water Use ◽  
Performance Indicators ◽  
Irrigation System ◽  
Population Increase ◽  
Consumptive Water Use ◽  
Consumptive Water

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.

Decadal gross level assessment of green and blue consumptive water use over Indian agro-ecosystems

2021 ◽  
Vol 42 (17) ◽  
pp. 6628-6669
Author(s):  
Indrani Choudhury ◽  
B.K. Bhattacharya ◽  
R. Eswar ◽  
M. Sekhar
Keyword(s):  
Water Use ◽  
Consumptive Water Use ◽  
Consumptive Water
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