| 摘要: |
| 河北省是我国乃至世界上高强度需水与水资源自产量极不匹配的区域，在经济高速发展的当下，科学优化配置区域水资源显得尤为关键和重要。考虑用水总量红线和用水效率红线的约束作用，以河北沧州河间市为研究区，建立了以社会效益和经济效益为目标函数的水资源优化配置模型，并采用人工鱼群算法求解该模型。结果表明：在规划水平年2025年，河间市可供水量为10727.88 万m3，龙华店乡缺水率高达50.8%，各乡镇缺水主要集中在农业上；水资源优化配置后，各行业用水矛盾有了明显改善。成果可为河间市水资源精细化管理提供关键技术支撑，也为北方其它县域水资源优化配置提供了借鉴和参考。 |
| 关键词: 水资源优化配置 多目标模型 人工鱼群算法 用水总量 用水效率 |
| DOI： |
| 分类号:TV213.9 |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目）；河北省水利科研与推广计划项目, |
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| Application of Artificial Fish Swarm Algorithm in Optimal Allocation of Water Resources in Hejian County, China |
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liumeiyu1,2, zhanglei3, luanqinghua4, xudan2, liubin2
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1.South-to-North Water Diversion Middle Route Information Technology Co., Ltd.;2.Hebei Research Center for water ecological civilization and social governance.;3.Cangzhou Hydrological Investigation and Research Center;4.Hebei Research Center for water ecological civilization and social governance
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| Abstract: |
| Hebei Province is a region where high intensity water demand and water resource self-yield are extremely unmatched in China and even in the world. With the rapid economic development, it is particularly significant to optimize the allocation of regional water resources scientifically. In this study, Hejian County was selected as the study area, which is located in Cangzhou, Hebei Province. Considering the constraint effect of two forbidden red lines of water use amount and water use efficiency, an optimal allocation model of water resources taking social and economic benefits as objective function was established. Then Artificial Fish Swarm Algorithm was employed to solve the model. The results indicated that the available water supply would be 107.28 million m3 in Hejian County and the water shortage rate would be as high as 50.8% in Longhuadian Town. And the water scarcity in each township would be mainly concentrated in agriculture in the planning level year of 2025. The water use contradiction in various industries had been obviously improved after the optimal allocation of water resources. The achievements could provide key technical support for the fine management of water resources in Hejian County. It can also provide reference for other counties in the north to optimize the allocation of water resources. |
| Key words: optimal allocation of water resources multi-objective optimization model artificial fish swarm algorithm water use amount water use efficiency |
