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This effect bodes well for the expansion of future irrigation projects based on conjunctive water use.
Probabilistic distribution functions and histograms were derived to assess GCM modelling uncertainty on future irrigation needs.
This implies that the future irrigation requirement could be even higher than the calculated values indicate (Figures 5 and 6).
Additionally, further climate change scenarios are of interest and should be used to improve understanding of the possible future irrigation requirement.
Accurate characterization of water infiltration behavior under ridge-furrow irrigation could provide guidelines and criteria for future irrigation system design and operation.
Furthermore, the optimal domain can be used to determine optimal fertilizer rates for any given water supply, which may be estimated from seasonal climate forecasts in the case of dryland farming or based on available water supply for future irrigation.
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The rural community and civil society call for a debate about the future of irrigation multifunctionality in the Muzza system and the role of irrigation practices in landscape provision and management.
Therefore, additional water storage capacity (such as dams) will be obligatory for future sustainable irrigation and electric power generation.
Future average irrigation needs, assuming unconstrained water availability, are predicted to increase by 14 30%, depending on emissions scenario.
It is likely that human responses to climate change, e.g. changes in residential patterns in proximity to active disease transmission areas, in the period of time spent outdoors versus indoors and in the extent of restoration of wetlands and the future use of irrigation, affect the burden of vector-borne diseases as much as ecological changes.
In the future, adoption of integrated irrigation management systems was crucial to achieve collective improvements in yield, water productivity, and environmental benefits.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com