干旱区生态环境知识资源中心(Arid): An Integrated Multiobjective Optimization Model Considering Water-Balance Processes for Supporting Sustainable Irrigated Agriculture under Shallow Groundwater Environments

Arid

DOI	10.1061/JIDEDH.IRENG-10137
	An Integrated Multiobjective Optimization Model Considering Water-Balance Processes for Supporting Sustainable Irrigated Agriculture under Shallow Groundwater Environments
	Li, Gang; Zhang, Chenglong; Hou, Zelin; Huo, Zailin
通讯作者	Zhang, CL
来源期刊	JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING
ISSN	0733-9437
EISSN	1943-4774
出版年	2023
卷号	149 期号:10
英文摘要	Water scarcity, the intensification of agricultural nonpoint pollution, and continuous deterioration of the ecosystem are serious problems in arid areas. Optimal allocation of water resources is the key way to achieve sustainable and efficient development of irrigated agriculture. An integrated multiobjective optimization model considering water-balance processes was developed under shallow groundwater environments to enhance comprehensive objectives and obtain optimal irrigation solutions. A simulation module of the physical processes of water movement among crop root zones, soil water, and groundwater aquifers, and a multiobjective optimization module of irrigation water allocation were incorporated into a general framework. It has the following advantages in terms of (1) illustrating variations of agricultural hydrological parameters (e.g., soil water content, groundwater depth, groundwater-based evaporation, and so on) in water movement processes; (2) obtaining a set of noninferior decision-making solutions through a modified nondominated sorting genetic algorithm (NSGA-II), which can maximize the interests for multiple parties; and (3) generating optimal solutions of irrigation water allocation and alleviating water scarcity, improving irrigation water productivity, and reducing negative environmental effects. To demonstrate its applicability, it was applied to optimize irrigation water allocation in the Jiefangzha Irrigation Subarea (JIS), China. It was firstly split into 44 irrigation subsystems, and each subsystem was assumed to be a homogeneous unit in meteorology, soil texture, and groundwater. Under the water competition between subsystems and rigid constraints of water availability, optimized results enhanced net economic benefits by 14.7%, saved 7.74% of irrigation water amount, and improved irrigation water productivity by 13% compared with status quo. Meanwhile, it can reduce graywater footprint of grain production by 58% compared with the average level of Hetao Irrigation District, China.
英文关键词	Irrigation water allocation Water-balance processes Nondominated sorting genetic algorithm (NSGA-II) Evolutionary multiobjective optimization Irrigation subsystems
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001048432700007
WOS关键词	DECISION-MAKING ; EVAPOTRANSPIRATION ; PRODUCTIVITY ; ALLOCATION ; LAND
WOS类目	Agricultural Engineering ; Engineering, Civil ; Water Resources
WOS研究方向	Agriculture ; Engineering ; Water Resources
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/397470
推荐引用方式 GB/T 7714	Li, Gang,Zhang, Chenglong,Hou, Zelin,et al. An Integrated Multiobjective Optimization Model Considering Water-Balance Processes for Supporting Sustainable Irrigated Agriculture under Shallow Groundwater Environments[J],2023,149(10).
APA	Li, Gang,Zhang, Chenglong,Hou, Zelin,&Huo, Zailin.(2023).An Integrated Multiobjective Optimization Model Considering Water-Balance Processes for Supporting Sustainable Irrigated Agriculture under Shallow Groundwater Environments.JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING,149(10).
MLA	Li, Gang,et al."An Integrated Multiobjective Optimization Model Considering Water-Balance Processes for Supporting Sustainable Irrigated Agriculture under Shallow Groundwater Environments".JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING 149.10(2023).