Optimization of Canal Water in an Irrigation Network Based on a Genetic Algorithm: A Case Study of the North China Plain Canal System | Zendy

Yao Weiwei | Zendy; Ma Xiaoyi | Zendy; Chen Yuansheng | Zendy

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Optimization of Canal Water in an Irrigation Network Based on a Genetic Algorithm: A Case Study of the North China Plain Canal System

Author(s) -

Yao Weiwei,

Ma Xiaoyi,

Chen Yuansheng

Publication year - 2019

Publication title -

irrigation and drainage

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.421

H-Index - 38

eISSN - 1531-0361

pISSN - 1531-0353

DOI - 10.1002/ird.2345

Subject(s) - genetic algorithm , irrigation , evapotranspiration , environmental science , hydrology (agriculture) , environmental engineering , engineering , mathematical optimization , mathematics , geotechnical engineering , biology , ecology

Maximizing the efficiency of water distribution in canals requires clear guidelines and criteria for system design and operation. Studies have shown that optimization models based on a genetic algorithm (GA) provide a reasonable arrangement of canal water allocation times and discharges, which reduces water transportation losses. In this study, a GA was developed and implemented in the North China Plain canal system, which has 24 minor canals and a command area of approximately 1800 ha. The optimization results indicated that the total seepage loss and evapotranspiration in the canal system decreased from 249 000 to 115 000 m 3 . Furthermore, the total water requirement decreased from 1 170 000 to 1 040 000 m 3 . This study suggests that revising water delivery schedules could increase water productivity, and reduce water leakage and total water requirements. © 2019 John Wiley & Sons, Ltd.

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