scholarly journals Toward Bridging Future Irrigation Deficits Utilizing the Shark Algorithm Integrated with a Climate Change Model

2019 ◽  
Vol 9 (19) ◽  
pp. 3960 ◽  
Author(s):  
Ehteram ◽  
El-Shafie ◽  
Hin ◽  
Othman ◽  
Koting ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Supply ◽  
Supply And Demand ◽  
Optimal Operation ◽  
Water Runoff ◽  
Change Model ◽  
Reservoir Water ◽  
Temperature And Precipitation ◽  
Water Supply And Demand ◽  
Climate Change Model

Climate change is one of the most effectual variables on the dam operations and reservoir water system. This is due to the fact that climate change has a direct effect on the rainfall–runoff process that is influencing the water inflow to the reservoir. This study examines future trends in climate change in terms of temperature and precipitation as an important predictor to minimize the gap between water supply and demand. In this study, temperature and precipitation were predicted for the period between 2046 and 2065, in the context of climate change, based on the A1B scenario and the HAD-CM3 model. Runoff volume was then predicted with the IHACRES model. A new, nature-inspired optimization algorithm, named the shark algorithm, was examined. Climate change model results were utilized by the shark algorithm to generate an optimal operation rule for dam and reservoir water systems to minimize the gap between water supply and demand for irrigation purposes. The proposed model was applied for the Aydoughmoush Dam in Iran. Results showed that, due to the decrease in water runoff to the reservoir and the increase in irrigation demand, serious irrigation deficits could occur downstream of the Aydoughmoush Dam.

scholarly journals Climate change and population growth impacts on surface water supply and demand of Addis Ababa, Ethiopia

2017 ◽  
Vol 18 ◽  
pp. 21-33 ◽  
Author(s):  
Bisrat Kifle Arsiso ◽  
Gizaw Mengistu Tsidu ◽  
Gerrit Hendrik Stoffberg ◽  
Tsegaye Tadesse
Keyword(s):  
Climate Change ◽  
Surface Water ◽  
Population Growth ◽  
Water Supply ◽  
Addis Ababa ◽  
Supply And Demand ◽  
Water Supply And Demand ◽  
Surface Water Supply

Adaptation in the Water Sector: Science & Institutions

Daedalus ◽  
2015 ◽  
Vol 144 (3) ◽  
pp. 59-71 ◽  
Author(s):  
Katharine L. Jacobs ◽  
Lester Snow
Keyword(s):  
Water Management ◽  
Water Supply ◽  
Supply And Demand ◽  
Societal Factors ◽  
Water Users ◽  
Temperature And Precipitation ◽  
Land Owners ◽  
Water Supply And Demand ◽  
Local Water ◽  
Societal Expectations

Water management activities involve a complex and interconnected web of science, infrastructure considerations, societal expectations, and institutional limitations that has evolved over time. Much of the water management system's current complexity developed in response to the interests of local water users and land owners, historical water supply and demand issues, political demands, and water quality and environmental considerations. Climate change poses a new set of questions for water managers and may require more flexible solutions than those that have evolved historically. Although the implications of changes in the climate on water supply and demand are recognized (if not well quantified), ongoing changes in temperature and precipitation, as well as the linkages between environmental and societal factors, lead to major uncertainties in future conditions. New tools, techniques, and institutions will be needed to sustain water supplies for communities and watersheds in the future.

scholarly journals Research on water resources dispatch model based on improved genetic algorithm – water resources dispatch model

2020 ◽  
Author(s):  
Haoran Fu ◽  
Huahui Li
Keyword(s):  
Genetic Algorithm ◽  
Water Resources ◽  
Water Supply ◽  
Supply And Demand ◽  
Optimal Operation ◽  
Water Withdrawal ◽  
Practical Significance ◽  
Improved Genetic Algorithm ◽  
Reservoir Water ◽  
Operation Rules

Abstract According to the research of reservoir water resources scheduling and distribution, the aim is to balance the water supply and demand in each period, and consider the total water supply and the annual external water withdrawal of the reservoir in each period as water rights. The decision-making variables are provided for the water supply of the reservoir in the paper, so that water demand of the water-receiving area can be better met to alleviate the water shortage at various stages and realize the effective use of water resources. Moreover, through the constraints of reservoir operation rules and other constraints, a mathematical model is established for optimal operation of water resources in the reservoir system. Meanwhile, optimized genetic algorithms are applied to solve the model according to the characteristics of the model. After simulation tests, compared with the traditional linear binary algorithm used in the reservoir, the improved genetic algorithm studied in the paper improves the accuracy of data calculation and data convergence, which proves that the research results of the paper provide theoretical and practical significance for improving the level of reservoir water resources management and solving the problem of optimal water resources scheduling.

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