基于云模型及可变模糊聚类迭代模型的灌区节水水平评估  

Evaluation of Water-saving Level in Irrigation Districts Based on Cloud Model and Variable Fuzzy Clustering Iteration Model

作　　者：付晓亮[1] 杜成旺 杨朝翰[1] 韦婉 李发文[3] 

机构地区：[1]水利部海河水利委员会,天津300170 [2]北京京桥热电有限责任公司,北京100067 [3]天津大学水利工程仿真与安全国家重点实验室,天津300072

出　　处：《中国农村水利水电》2017年第9期10-14,共5页China Rural Water and Hydropower

基　　金：国家自然科学基金项目(51579169)

摘　　要：农业灌区是农业最主要的用水大户,其节水水平直接关系到整个农业节水目标的实现。选择河北省石津灌区为研究区域,根据灌区的实际情况,提出基于云模型和可变模糊聚类迭代模型的模糊综合评价法,有效地克服了隶属度确定的随机性和模糊性,同时权重确定也更加合理。利用该方法评估了灌区2002-2011年的节水水平。评估结果表明,灌区节水水平逐年提高,由耗水型转变为过渡型,但灌区渠系水利用系数和灌溉水利用系数整体偏低,有待于进一步提高。研究成果可为大型灌区节水评价以及灌区的节水管理提供技术支持。Agricultural irrigation districts are the main users of water in agriculture, and its water-saving level is directly related to the realization of the whole agricultural water-saving goal. Shijin Irrigation District of Hebei Province is chosen as the study area and according to its actual situation, the fuzzy comprehensive evaluation method based on the cloud model and variable fuzzy clustering iterative model are proposed to assess the water-saving level in the irrigation district from 2002-2011. This method overcomes the randomness and fuzziness of the membership degree determination effectively, and makes the weight determination more reasonable. The results show that the water-saving level of the irrigation area has improved year by year, and the water-saving type has changed from consumption to transition. However, the whole utilization coefficients of canal-system water and irrigation water are low and needed to be improved further. The research results can provide technical support for the water-saving evaluation of large-scale irrigation districts and water-saving management of irrigation districts.

关 键 词：云模型 可变模糊聚类迭代模型 节水水平评估 

分 类 号：TV93[水利工程—水利水电工程] S274.3[农业科学—农业水土工程]