Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.jhydrol.2023.129859 |
An integrated distributed robust optimization framework for agricultural water-food-energy management integrating ecological impact and dynamic water cycle processes | |
Guo, Shanshan; Yang, Yuting; Guo, Ping | |
通讯作者 | Yang, YT |
来源期刊 | JOURNAL OF HYDROLOGY
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ISSN | 0022-1694 |
EISSN | 1879-2707 |
出版年 | 2023 |
卷号 | 624 |
英文摘要 | Sustainable Development Goals (SDGs) appeal to decision-makers to consider the impact of agriculture on different aspects, including the economic, social, ecological and environmental influences. This study establishes an integrated distributed water-food-energy management model that simultaneously considers resource-saving, economic development, ecological restoration, social security guarantee and environmental improvement to realize sustainability according to optimal resource allocation. The developed model considers the full dynamic of the water cycle, including water exchanges between river, canal, soil and aquifer. The irrigation units are regarded as decision units and hydrological response units, which are determined based on the canal distribution. A net-primary-productivity-based method is proposed for ecological and environmental benefits of agricultural production. Additionally, a comprehensive multi-objective robust programming is proposed to deal with uncertainties in both objectives and constraints, with optimality and feasibility robustness guaranteed. Taking an arid area in northwestern China as a working example, the modeling outputs offer strategies for water and energy uses under 27 risk scenarios. The feasibility robustness analysis uncovers the degree and source of risks faced by different vegetation and decision units. The optimality robustness analysis shows the influence of different uncertainties on the objectives and helps recognize sensitive objectives. These outputs can satisfy decision-makers with different risk preferences, reveal the independent and mutual effects of different uncertainties, and help recognize the key indicators of sustainable development. |
英文关键词 | Agricultural water-food-energy management Dynamic water cycle Ecological benefits Multi-objective robust programming Distributed optimization |
类型 | Article |
语种 | 英语 |
收录类别 | SCI-E |
WOS记录号 | WOS:001039299100001 |
WOS关键词 | ENVIRONMENTAL-IMPACT ; IRRIGATION ; MODEL ; LEVEL ; NEXUS |
WOS类目 | Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources |
WOS研究方向 | Engineering ; Geology ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/397411 |
推荐引用方式 GB/T 7714 | Guo, Shanshan,Yang, Yuting,Guo, Ping. An integrated distributed robust optimization framework for agricultural water-food-energy management integrating ecological impact and dynamic water cycle processes[J],2023,624. |
APA | Guo, Shanshan,Yang, Yuting,&Guo, Ping.(2023).An integrated distributed robust optimization framework for agricultural water-food-energy management integrating ecological impact and dynamic water cycle processes.JOURNAL OF HYDROLOGY,624. |
MLA | Guo, Shanshan,et al."An integrated distributed robust optimization framework for agricultural water-food-energy management integrating ecological impact and dynamic water cycle processes".JOURNAL OF HYDROLOGY 624(2023). |
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