干旱区生态环境知识资源中心(Arid): Optimal Allocation of Water Resources in Canal Systems Based on the Improved Grey Wolf Algorithm

Arid

DOI	10.3390/su16093635
	Optimal Allocation of Water Resources in Canal Systems Based on the Improved Grey Wolf Algorithm
	Zheng, Qiuli; Yue, Chunfang; Zhang, Shengjiang; Yao, Chengbao; Zhang, Qin
通讯作者	Yue, CF
来源期刊	SUSTAINABILITY
EISSN	2071-1050
出版年	2024
卷号	16 期号:9
英文摘要	Xinjiang is located in the arid region of northwestern China, and agriculture accounts for an absolute share of total water use. Resource-based, engineering, structural, and managed water shortages coexist. Therefore, it is of great significance to vigorously develop water conservation technology and improve the efficiency of water transmission and distribution in canal systems. This research aims at addressing the problems of difficult manual regulation and the overall optimization of the final canal system, low-water-resource utilization efficiency, and management efficiency. Taking the branch-double two-stage canal system of Dongfeng branch canal in Mangxiang, Jinghe irrigation district, as a case study, and the rotation irrigation group and irrigation duration as decision variables, canal distribution is modeled with the goal of minimizing seepage losses. The improved grey wolf algorithm combined with particle swarm optimization is used for the first time and compared with the traditional grey wolf algorithm, genetic particle swarm optimization fusion algorithm, and northern goshawk algorithm. The results show that (1) on the basis of meeting the water discharge capacity and water demand requirements of the canal system, the diversion time of the water distribution scheme obtained by using the improved grey wolf algorithm is shortened from 11 d to 8.91 d compared with the traditional empirical water distribution scheme. (2) The improved grey wolf algorithm converges to the optimal value within 10 generations compared to the remaining methods, and the total water leakage is reduced from 16.15 x 104 m3 to 11.75 x 104 m3. (3) The number of gate adjustments is reduced, and the canal gates are opened and closed at the same time within each rotational irrigation group. The grey wolf algorithm improved by its combination with particle swarm has stronger optimization ability and convergence, which can better meet the requirements of efficient water resource allocation in irrigation canal systems, as well as a high application value.
英文关键词	irrigation district canal system optimized water distribution grey wolf algorithm improved particle swarm optimization algorithm northern goshawk algorithm
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:001219897700001
WOS关键词	OPTIMIZATION
WOS类目	Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向	Science & Technology - Other Topics ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/405728
推荐引用方式 GB/T 7714	Zheng, Qiuli,Yue, Chunfang,Zhang, Shengjiang,et al. Optimal Allocation of Water Resources in Canal Systems Based on the Improved Grey Wolf Algorithm[J],2024,16(9).
APA	Zheng, Qiuli,Yue, Chunfang,Zhang, Shengjiang,Yao, Chengbao,&Zhang, Qin.(2024).Optimal Allocation of Water Resources in Canal Systems Based on the Improved Grey Wolf Algorithm.SUSTAINABILITY,16(9).
MLA	Zheng, Qiuli,et al."Optimal Allocation of Water Resources in Canal Systems Based on the Improved Grey Wolf Algorithm".SUSTAINABILITY 16.9(2024).