An interval bilateral regulation framework of water resources supply and demand in irrigation area under water sources uncertainty

被引:0
|
作者
Shu, Zhan [1 ,2 ]
Kang, Yan [1 ,2 ]
Gao, Ying [1 ]
Shi, Xuemai [1 ]
Li, Wanxue [1 ]
Zhang, Shuo [3 ]
Song, Songbai [1 ,2 ]
Li, Lingjie [4 ]
机构
[1] Northwest A&F Univ, Minist Educ, Key Lab Agr Soil & Water Engn Arid & Semiarid Area, Yangling 712100, Peoples R China
[2] Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Peoples R China
[3] Hohai Univ, Inst Water Resources & Tecnol, Nanjing 210024, Peoples R China
[4] Nanjing Hydraul Res Inst, Natl Key Lab Water Disaster Prevent, Nanjing 210029, Peoples R China
基金
中国国家自然科学基金;
关键词
Bilateral regulation; Uncertainty of multiple water sources; Reservoir multi-objective operation; Reservoirs water storage and supply sequences; Planting structure optimization; ALLOCATION; RIVER;
D O I
10.1016/j.agwat.2024.109266
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Climate change and human activities have diminished the stability of the water resources system, leading to multiple uncertainties in the prediction of incoming water, reservoir operation optimization on the water supply side, and adaptive adjustments of the water-use structure on the water demand side. In response to quantify uncertainty and match the water supply-demand in water resources regulation, we developed a novel "ensemble inflow prediction-reserve operation strategy-interval bilateral regulation-water supply risk analysis" framework by coupling the interval prediction methods of incoming water, the bilayer model of reservoir multiobjective optimal operation, and the optimization model of planting structure in irrigation area. In the proposed framework, the NGBoost and Bootstrap methods were employed to assess the uncertainty of runoff and groundwater based on the varying sample sizes. A bilayer model of reservoir multi-objective operation was proposed under uncertain runoff to optimize reservoir operation rules for different sequences of reservoir water storage and supply. An interval bilateral regulation model of water supply and demand was developed to optimize crop planting structures for adapting to uncertain water supply scenarios. We applied this framework to the Baojixia Irrigation Area (BIA) of Northwest China. The results show that the NGboost model achieves satisfactory prediction results for the monthly runoff. The reservoir group, following the sequence of water storage [II, III, IV, V, VI] and the sequence of water supply [VI, V, IV, III, II], can reduce water supply risks under uncertain runoff. Compared to the current scenario, annual average economic benefit has been increased by 19.6 %-24.9 %, irrigation water has been reduced by 10.3 %-12.5 %, and water shortage rates have been reduced to 2.1 %-2.9 % under water supply scenarios A-W, A-N, A-D, and A-E in the interval bilateral regulation framework. This study provides a new perspective to address the interaction of water supply-demand and multiple uncertainties.
引用
收藏
页数:18
相关论文
共 49 条
  • [41] Uncertainty-Based Multi-Objective Decision Making with Hierarchical Reliability Analysis Under Water Resources and Environmental Constraints
    Dong, Feifei
    Liu, Yong
    Su, Han
    Liang, Zhongyao
    Zou, Rui
    Guo, Huaicheng
    WATER RESOURCES MANAGEMENT, 2016, 30 (02) : 805 - 822
  • [42] Multi-layer multi-objective cooperative regulation of agricultural water resources in large agricultural irrigation areas based on runoff prediction
    Li, Mo
    Liu, Wuyuan
    Fu, Qiang
    Liu, Dong
    Li, Tianxiao
    Xu, Yaowen
    Shang, Ruochen
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2023, 208
  • [43] Integrated multi-objective optimization framework for urban water supply systems under alternative climates and future policy
    Xiong, Wei
    Li, Yi
    Zhang, Wenlong
    Ye, Quanliang
    Zhang, Shanxue
    Hou, Xing
    JOURNAL OF CLEANER PRODUCTION, 2018, 195 : 640 - 650
  • [44] A multi-agent decision-making framework for evaluating water and environmental resources management scenarios under climate change
    Motlaghzadeh, Kasra
    Eyni, Ali
    Behboudian, Massoud
    Pourmoghim, Parastoo
    Ashra, Saeed
    Kerachian, Reza
    Hipel, Keith W.
    SCIENCE OF THE TOTAL ENVIRONMENT, 2023, 864
  • [45] Achieving the tradeoffs between pollutant discharge and economic benefit of the Henan section of the South-to-North Water Diversion Project through water resources-environment system management under uncertainty
    Li, Donglin
    Zuo, Qiting
    Wu, Qingsong
    Li, Qianwen
    Ma, Junxia
    JOURNAL OF CLEANER PRODUCTION, 2021, 321
  • [47] Medium- and Long-Term Planning of an Integrated Eco-Compensation System Considering Ecological Water Demand under Uncertainty: A Case Study of Daguhe Watershed in China
    Xie, Yuxiang
    Kong, Fanlong
    Zhang, Junlong
    Li, Yongping
    Huang, Guohe
    Zhang, Wenqi
    JOURNAL OF WATER RESOURCES PLANNING AND MANAGEMENT, 2022, 148 (10)
  • [48] A bi-level multi-objective programming model for water resources management under compound uncertainties in Dongjiang River Basin, Greater Bay Area of China
    Cai, Yanpeng
    Xiao, Jun
    He, Yanhu
    Guo, Hongjiang
    Xie, Yulei
    JOURNAL OF CONTAMINANT HYDROLOGY, 2022, 248
  • [49] A CMIP6 multi-model ensemble-based analysis of potential climate change impacts on irrigation water demand and supply using SWAT and CROPWAT models: a case study of Akmese Dam, Turkey
    Yalcin, Emrah
    THEORETICAL AND APPLIED CLIMATOLOGY, 2024, 155 (01) : 679 - 699