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We believe, however, that to achieve a rational water allocation system, a way of determining an optimal share of the available quantity of water to each sector should be a necessary proposition.
Thus, a fair water allocation system should be in place to address the needs and preferences of the water users, who are in most case the providers of the financial support for construction and maintenance of Qanats.
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This paper presents necessary conditions of optimality for multicomponent water allocation systems in refineries and process plants.
The design of efficient water allocation systems depends on economic issues, and a reliable estimate of the economic value of water is the most important factor relating to the efficiency of such systems (Latinopoulos et al. 2004).
Today, at least 37 countries in water-scarce regions have water allocation systems based on the issuance of water rights.
This study proposes a systematical water allocation scheme, which integrates system analysis with artificial intelligence techniques, for decision makers to mitigate drought threats.
In this study we assess the possibility to harmonize the inter-sectoral water allocation scheme within a highly altered human-hydrological system under reduction in water availability, triggered by projected climate change applying scenario-based approach.
For example, in water-scarce contexts, a "water module" is incorporated, looking in greater depth at local water politics, allocation systems, quality, quantity, affordability and cultural dimensions than standard assessment would.
Using the simulation results, decision makers can easily weigh the costs of the system, the water allocation objectives, and the system risk.
Before the formation of the Central Asian republics, for example, water allocation and irrigation systems were well maintained and heavily subsidized.
GAs have also been applied in water resources management: Sharif and Wardlaw [9] developed an optimal multi-reservoir system using a GA; Wardlaw and Bhaktikul [10] investigated problems with water allocation in an irrigation system; and Chen et al. [11] forecasted stream flow to help ensure more effective use of water resources.
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CEO of Professional Science Editing for Scientists @ prosciediting.com