Arid
DOI10.1016/j.agwat.2019.105994
A sustainable irrigation water management framework coupling water-salt processes simulation and uncertain optimization in an arid area
Li, Xuemin1; Zhang, Chenglong1; Huo, Zailin1; Adeloye, Adebayo J.2
通讯作者Huo, Zailin
来源期刊AGRICULTURAL WATER MANAGEMENT
ISSN0378-3774
EISSN1873-2283
出版年2020
卷号231
英文摘要Field irrigation water management depends on interactions among crop yield, soil water/salt and groundwater/salt in arid irrigation area with shallow-saline groundwater. This paper presents a novel uncertainty simulation-optimization framework for irrigation water allocation and sustainable agricultural environment, which integrates simulation of physical processes of soil-groundwater water and salt balance into an uncertainty-based optimization model. The impacts of crop evapotranspiration, soil water and salt and groundwater levels are interactively involved in the simulation model. Uncertainties (economic and crop parameters, available water amount) presented as fuzzy boundary intervals and probability distribution functions are considered in the optimization model. This field irrigation water allocation framework emphasizes the role of field soil water and salt movement processes to decision-making of irrigation water allocation. Then, the proposed simulation-optimization framework was applied to a case study in the Hetao Irrigation District, an arid area of northwest China where soil salinity is a serious environmental problem induced by irrigation and shallow groundwater. Therefore, optimal irrigation water allocation solutions can be generated for providing decision makers with reliable decision options where the maximum system benefits resulting from sustainable agricultural production are desired. Furthermore, the results can support analysis of interrelationships among system benefits, water allocation planning and groundwater depth, soil salt content constraints. Scenario analysis (groundwater table depth (GTD) = 1, 1.5, 2, 2.5, 3m and no groundwater exchange consideration) showed that the maximum net benefit could be [27469, 44818] Yuan with the groundwater table depth of 1.5 m. Also, the irrigation water allocation changed when the salt constraint was considered, which indicates that the results obtained by the developed framework can alleviate soil salinization to a certain degree. Therefore, this framework can provide more effective information for the irrigation water management and soil salinization control, which is meaningful for the sustainable development of irrigation agriculture.
英文关键词Irrigation optimization Field water and salt processes Shallow groundwater salinity Uncertainty
类型Article
语种英语
国家Peoples R China ; Scotland
收录类别SCI-E
WOS记录号WOS:000525285400012
WOS关键词DEFICIT IRRIGATION ; PROGRAMMING APPROACH ; SHALLOW GROUNDWATER ; WASTE MANAGEMENT ; SALINITY ; MODEL ; PRODUCTIVITY ; DISTRICT ; IMPACT ; CROPS
WOS类目Agronomy ; Water Resources
WOS研究方向Agriculture ; Water Resources
来源机构中国农业大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/313954
作者单位1.China Agr Univ, China Agr Water Res Ctr, 17 Qinghua East Rd, Beijing 100083, Peoples R China;
2.Heriot Watt Univ, Inst Infrastruct & Environm, Edinburgh EH14 4AS, Midlothian, Scotland
推荐引用方式
GB/T 7714
Li, Xuemin,Zhang, Chenglong,Huo, Zailin,et al. A sustainable irrigation water management framework coupling water-salt processes simulation and uncertain optimization in an arid area[J]. 中国农业大学,2020,231.
APA Li, Xuemin,Zhang, Chenglong,Huo, Zailin,&Adeloye, Adebayo J..(2020).A sustainable irrigation water management framework coupling water-salt processes simulation and uncertain optimization in an arid area.AGRICULTURAL WATER MANAGEMENT,231.
MLA Li, Xuemin,et al."A sustainable irrigation water management framework coupling water-salt processes simulation and uncertain optimization in an arid area".AGRICULTURAL WATER MANAGEMENT 231(2020).
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