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Multisource and multiuser water resources allocation based on genetic algorithm

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Abstract

Water resources are one of the important supply factors for urban survival and development. The water demand of a city and the amount of water supplied by the natural environment affect the overall development of the city. In this study, remote sensing image interpretation is used to classify land use and predict ecological water demands. An optimal allocation model of multisource and multiuser water resources has been established. The allocation of water resources in 2020 and 2030 was also forecasted.

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Acknowledgements

This work was supported by the National Science and Technology Major Project of China (2013ZX07201007-006) and the Doctor Innovative Research Project of Harbin Normal University (HSDBSCX2014-01).

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Correspondence to Luhe Wan.

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Qi, S., Wan, L. & Fu, B. Multisource and multiuser water resources allocation based on genetic algorithm. J Supercomput 76, 3222–3230 (2020). https://doi.org/10.1007/s11227-018-2563-7

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  • DOI: https://doi.org/10.1007/s11227-018-2563-7

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