| 摘要: |
| 为获得有限可用灌溉水资源条件下满足多个目标的最优配水方案，将区间不确定性方法引入线性分式多目标规划中，构建基于区间不确定性的分式规划模型。以甘肃省武威市民勤县红崖山灌区为研究区域，对当地4种主要作物，春小麦、春玉米、棉花、籽瓜进行水资源优化配置，在满足粮食安全基础上得到不同水文年下满足不同目的需求的水资源优化配置方案。在此基础上，对不同情境下的配水结果进行对比并详细分析了平水年不同区间用水效率增长对目标函数的增长率影响，得到不同用水效率下的优化配水方案及目标完成情况。结果表明：在枯水年灌区应优先满足籽瓜的灌溉需求，丰水年应优先满足棉花的用水需求，平水年农业生产的最优用水效率增长区间为[0，5%]。所得结果可以为民勤县红崖山灌区以及类似灌区水资源优化配置及用水效率提升提供了理论依据与决策支持。 |
| 关键词: 水量分配优化 区间分式 多目标 用水效率 |
| DOI：10.11841/j.issn.1007-4333.2018.03.14 |
| 投稿时间：2017-03-19 |
| 基金项目:国家自然科学基金重点项目（51439006）；“十三五”国家重点研发计划课题（2016YFC0400207） |
|
| Interval fractional programming optimization model for irrigation water allocation under uncertainty |
|
CUI Haojie, GUO Ping, LI Mo
|
| (College of Water Resources & Civil Engineering, China Agricultural University, Beijing 100083, China) |
| Abstract: |
| In order to achieve optimal water distribution scheme,which satisfies multiple goals under the limited irrigation water resource,an interval fractional programming model was developed by combining interval uncertain method with linear fractional programming.Taking Hongyashan irrigation area,which is located in Minqin County,Wuwei City,Gansu Province,as an example,the model obtains optimal allocation water resources of four main crops (wheat,crop,cotton and seed watermelon) in different water availability based on food security under different hydrological years are investigated.The optimize results under different water use efficiencies are obtained by comparison.The results show that:In low flow year,watermelon's water requirements should be met firstly;When it comes to high flow year,the priority should be moved to cotton;And in the median water year,the increasing range of optimal agricultural water use efficiency is[0,5%].In conclusion,the model proposed in this study and its analysis can provide theoretical basis and decision support on the water allocation optimization and improvement of water efficiency for Hongyashan irrigation area and similar irrigation area. |
| Key words: water allocation optimization interval fractional programming multi-objective water use efficiency |
