Optimization allocation of irrigation water resources based on crop water requirement under considering effective precipitation and uncertainty

被引:85
作者
Gong, Xinghui [1 ,2 ]
Zhang, Hongbo [1 ,2 ]
Ren, Chongfeng [1 ,2 ]
Sun, Dongyong [1 ,2 ]
Yang, Jiantao [1 ,2 ]
机构
[1] Minist Educ, Key Lab Subsurface Hydrol & Ecol Effect Arid Reg, Xian 710054, Peoples R China
[2] Sch Water & Environm, Xian 710054, Peoples R China
基金
美国国家科学基金会; 中国博士后科学基金;
关键词
Irrigation water; optimized allocation; effective precipitation; crop evapotranspiration; interval sets; conjunctive use; uncertainty; CONJUNCTIVE USE; AGRICULTURAL WATER; RIVER-BASIN; MODEL; SURFACE; MANAGEMENT; GROUNDWATER; CONSTRAINT; SYSTEM;
D O I
10.1016/j.agwat.2020.106264
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Today, water resources shortage becomes more and more serious. In reality, uncertainties are inevitable due to the complex of irrigation system. Therefore, an inexact interval programming model was developed for optimizing irrigation water resources, which was also applied to a case study in Jinghuiqu irrigation district, Shaanxi Province, China. In the case study, maximum economic benefit was made as planning objective and crop evapotranspiration and effective precipitation were took under consideration, which have significant influence on optimization allocation of irrigation water resources. Different optimal irrigation and planting structure schemes, which have the ability to conjunctive use of surface water and groundwater, were obtained under different representative hydrological year. From the results, water resources shortage is very serious which have made great negative influence on the development of Jinghuiqu irrigation district. In addition, a lot of water resources has been saved by introducing effective precipitation in the model, such as 47.36% of total water consumption was saved in maize when P = 25%. Furthermore, the decision makers can choose the desired optimal scheme according to the actual situation.
引用
收藏
页数:10
相关论文
共 51 条
[1]  
Allen R. G., 1998, FAO Irrigation and Drainage Paper
[2]  
[Anonymous], 2011 INT S WAT RES E
[3]  
[Anonymous], SUSTAINABILITY
[4]  
[Anonymous], J IRRIGATION DRAINAG
[5]  
[Anonymous], 2010, J EARTH SCI ENV
[6]  
[Anonymous], J ENV INFORM
[7]   Applying Genetic Algorithm and Neural Network to the Conjunctive Use of Surface and Subsurface Water [J].
Chen, Yu Wen ;
Chang, Liang Cheng ;
Huang, Chun Wei ;
Chu, Hone Jay .
WATER RESOURCES MANAGEMENT, 2013, 27 (14) :4731-4757
[8]   Agricultural Multi-Water Source Allocation Model Based on Interval Two-Stage Stochastic Robust Programming under Uncertainty [J].
Fu, Qiang ;
Li, Tianxiao ;
Cui, Song ;
Liu, Dong ;
Lu, Xueping .
WATER RESOURCES MANAGEMENT, 2018, 32 (04) :1261-1274
[9]   Optimal Allocation of Water Resources Model for Different Growth Stages of Crops under Uncertainty [J].
Fu, Yinhuan ;
Li, Mo ;
Guo, Ping .
JOURNAL OF IRRIGATION AND DRAINAGE ENGINEERING, 2014, 140 (06)
[10]   An improved intuitionistic fuzzy interval two-stage stochastic programming for resources planning management integrating recourse penalty from resources scarcity and surplus [J].
Guo, Shanshan ;
Zhang, Fan ;
Zhang, Chenglong ;
Wang, Youzhi ;
Guo, Ping .
JOURNAL OF CLEANER PRODUCTION, 2019, 234 :185-199