Abstract:In order to explore the influence of different irrigation treatments on main characters and water use efficiency of summer maize, two kinds of planting pattern(conventional furrow irrigation, CFI; wide-ridge and furrow irrigation, WFI)were compared under different water treatments, and the three irrigation levels(The soil water control limits were respectively set at 60%, 70% and 80% of field water capacity)were as followed. Using the fuzzy matter element model method based on entropy weight and CRITIC, the summer maize morphological indexes of different water treatment plant CFI and WFI planted(plant height, leaf area), yield traits(ear length, ear diameter, 100 seed weight and yield)and water use efficiency(production efficiency of water use efficiency, irrigation)were analyzed. The result shows that the WFI planting mode of summer maize is better than the CFI planting mode under the same water treatment condition. For areas with relatively abundant water resources, the WFI-70%θ irrigation scheme is recommended and the WFI-60%θ irrigation scheme is recommended for areas where water resources are relatively scarce. The fuzzy matter element model method based on entropy weight and CRITIC is of a certain application value to the main characters of summer maize in furrow irrigation and water use efficiency. This study provides a scientific basis for reasonable irrigation and furrow irrigation in summer maize.
汪顺生, 薛红利*. 基于熵权的模糊物元模型优选夏玉米沟灌方式[J]. 排灌机械工程学报, 2018, 36(4): 362-368.
WANG Shunsheng, XUE Hongli*. Optimization of fuzzy matter element model based on entropy for summer maize in furrow irrigation. Journal of Drainage and Irrigation Machinery Engin, 2018, 36(4): 362-368.
[1]向昌盛,张林峰. 灰色理论和马尔可夫相融合的粮食产量预测模型[J]. 计算机科学,2013,40(2):245-248. XIANG Changsheng, ZHANG Linfeng. Grian yield prediction model based on grey theory and markvo[J]. Computer science, 2013,40(2):245-248.(in Chinese)[2]ZHANG D, GUO P. Integrated agriculture water ma-nagement optimization model for water saving potential analysis[J]. Agricultural water management, 2016, 170(1):5-19.[3]KEBEDE Y K, KEBEDEE T. Application of principal component analysis in surface water quality monitoring[J]. Principal component analysis-engineering applications, 2012:83-100.[4]BOURAZANIS G, ROUSSOS P A, ARGYROKASTRITIS I, et al. Evaluation of the use of treated municipal waste water on the yield, oil quality, free fatty acids′ profile and nutrient levels in olive trees cv Koroneiki, in Greece[J]. Agricultural water management, 2016, 163:1-8.[5]徐向峰.基于模糊物元方法的温室采暖模式评价[J].农机化研究, 2009,31(12):34-36,92. XU Xiangfeng. The research of the appraisemeng about sunlight of greenhouse heating system on the basis of fuzzy matter-element method[J]. Journal of agricultural mechanization research, 2009,31(12):34-36,92.(in Chinese)[6]XIA G, LUAN T. Evaluation analysis for sortie generation of carrier aircrafts based on nonlinear fuzzy matter-element method[J]. Journal of intelligent & fuzzy systems, 2016, 31(6):3055-3066.[7]闫英战, 杨勇, 陈爱斌. 可拓神经网络在水质评价中的应用[J]. 人民长江, 2010, 41(15):27-30. YAN Yingzhan, YANG Yong, CHEN Aibin. Application of extension neural network in water quality assessment[J]. Yangtze River, 2010, 41(15):27-30.(in Chinese)[8]施珮, 袁永明, 张红燕,等. GRNN和Elman神经网络在水体溶解氧预测中的应用[J]. 江苏农业科学, 2017, 45(23):217-221. SHI Pei,YUAN Yongming,ZHANG Hongyan,et al.Application of GRNN and Elman neural network in water dissolved oxygen predictionp[J]. Jiangsu agricultural sciences, 2017, 45(23):217-221.(in Chinese)[9]MINATOUR Y, BONAKDARI H, ALIAKBARKHANI Z S. Extension of fuzzy delphi AHP based on interval-va-lued fuzzy sets and its application in water resource rating problems[J]. Water resources management, 2016, 30(9):3123-3141.[10]MOHAPATRA A G, LENKA S K. Neural network pattern classification and weather dependent fuzzy logic model for irrigation control in WSN based precision agriculture[J]. Procedia computer science, 2016, 78:499-506.[11]李朦, 汪妮, 解建仓,等. 基于模糊物元模型的再生水资源价值评价[J]. 西北农林科技大学学报(自然科学版), 2016, 44(1):223-229. LI Meng, WANG Ni, XIE Jiancang, et al. Evaluation of reclaimed water resources based on fuzzy matter element model[J]. Journal of Northwest A&F University(nat sci ed), 2016, 44(1):223-229.(in Chinese)[12]余健,房莉,仓定帮,等.熵权模糊物元模型在土地生态安全评价中的应用[J].农业工程学报,2012,28(5):260-266. YU Jian, FANG Li, CANG Dingbang, et al. Evaluation of land eco-security in wanjiang district base on entropy weight and matter element model[J]. Transactions of the CSAE,2012,28(5):260-266.(in Chinese)[13]SAHOO M M, PATRA K C, SWAIN J B, et al. Evalua-tion of water quality with application of bayes′ rule and entropy weight method[J]. European journal of environmental & civil engineering, 2016:1-23.[14]DIAKOULAKI D, MAVROTAS G, PAPAYANNAKIS L. Determining objective weights in multiple criteria problems: the critic method[J]. Computers & operations research, 1995, 22(7):763-770.[15]汪顺生,刘东鑫,王康三,等.不同沟灌方式对夏玉米耗水特性及产量影响的模糊综合评判[J].农业工程学报,2015, 31(24):89-94. WANG Shunsheng, LIU Dongxin, WANG Kangsan, et al. Fuzzy comprehensive evaluation on water consumption characteristics and yield of summer corn under different furrow irrigation patterns[J]. Transactions of the CSAE, 2015, 31(24): 89-94.(in Chinese)