A simulation-based multi-objective two-level optimization decision-making approach for supporting balanced irrigation water management
文献类型：期刊论文
| 作者 | Zhang, Chenglong4; Li, Xuemin3; Li, Gang4; Dai, Xiaoqin2,5; Huo, Zailin1,4 |
| 刊名 | AGRICULTURAL WATER MANAGEMENT
 |
| 出版日期 | 2023-06-30 |
| 卷号 | 284页码:15 |
| ISSN号 | 0378-3774 |
| 关键词 | Irrigation decision-making unit Different stakeholders Two-level programming Decomposition and coordination algorithm Simulated process Irrigated agriculture |
| DOI | 10.1016/j.agwat.2023.108344 |
| 通讯作者 | Dai, Xiaoqin(daixq@igsnrr.ac.cn) ; Huo, Zailin(huozl@cau.edu.cn) |
| 英文摘要 | In this study, a simulation-based multi-objective two-level optimization decision-making approach is developed for optimal irrigation water allocation, improving irrigation water productivity and controlling regional accumulated salts. Techniques of multi-objective programming, two-level programming and simulation model of water and salt physical movement process are incorporated into the modeling framework. The simulated processes are parameterized and calibrated with field experimental data while the optimization model is used to generate optimal solutions though predefined objectives and the associated constraints. This model is applied to a case study on irrigation water allocation in the Jiefangzha Irrigation Subarea in Hetao Irrigation District, Northwest China. Firstly, the study area is delineated into several homogeneous irrigation decision-making units (IDMUs) for better characterizing their spatial variability because it's spatially heterogeneous. Afterwards, decomposition-coordination algorithm is introduced to solve such an integrated simulation-based multi-objective two-level optimization model. Finally, optimal solutions of irrigation water allocation for different crops during crop growth periods in different IDMUs can be obtained for supporting sustainable strategies of irrigation. The results can achieve balanced tradeoffs between different stakeholders (i.e., the upper-level decision-makers and the lower-level farmers) and between conflicting economic objectives and environmental objectives. Moreover, optimal solutions have a slight increase in economic returns over the baseline scenario (i.e., status quo), but the irrigation water productivity is increased by nearly 60% due to less irrigation water used. Regional accumulated salts can be controlled because the soil salinity is constrained within the predetermined salt accumulation constraint. Therefore, these findings can provide evidence for efficient use of irrigation water resources and further support of sustainable irrigated agriculture. |
| WOS关键词 | AGRICULTURAL PRODUCTION ; MODEL ; ALLOCATION ; RESOURCES ; SECURITY ; DISTRICT |
| 资助项目 | National Science Foundation of China[52009133] ; National Science Foundation of China[52130902] |
| WOS研究方向 | Agriculture ; Water Resources |
| 语种 | 英语 |
| 出版者 | ELSEVIER |
| WOS记录号 | WOS:001001178800001 |
| 资助机构 | National Science Foundation of China |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/197850]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Dai, Xiaoqin; Huo, Zailin |
| 作者单位 | 1.Tsinghuadong St 17, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Qianyanzhou Ecol Res Stn, Beijing 100101, Peoples R China 3.Beijing Water Sci & Technol Inst, Beijing 100048, Peoples R China 4.China Agr Univ, Ctr Agr Water Res China, Beijing 100083, Peoples R China 5.11A Datun Rd, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Chenglong,Li, Xuemin,Li, Gang,et al. A simulation-based multi-objective two-level optimization decision-making approach for supporting balanced irrigation water management[J]. AGRICULTURAL WATER MANAGEMENT,2023,284:15. |
| APA | Zhang, Chenglong,Li, Xuemin,Li, Gang,Dai, Xiaoqin,&Huo, Zailin.(2023).A simulation-based multi-objective two-level optimization decision-making approach for supporting balanced irrigation water management.AGRICULTURAL WATER MANAGEMENT,284,15. |
| MLA | Zhang, Chenglong,et al."A simulation-based multi-objective two-level optimization decision-making approach for supporting balanced irrigation water management".AGRICULTURAL WATER MANAGEMENT 284(2023):15. |
入库方式： OAI收割
来源：地理科学与资源研究所
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