模糊优选模型在旱作物涝渍胁迫试验评价中的应用  

Application of fuzzy optimization model in evaluation of drought crop waterlogging stress test

作　　者：朱玲玲 梁森 周倩倩 王馥莉 牛奔 张雯叶 ZHU Lingling;LIANG Sen;ZHOU Qianqian;WANG Fuli;NIU Ben;ZHANG Wenye(River and Lake Management Center of Xuzhou,Xuzhou,Jiangsu 221018,China;Engineering Management Center of Xuzhou,Xuzhou,Jiangsu 221018,China;College of Agricultural Science and Engineering,Hohai University,Nanjing,Jiangsu 210098,China)

机构地区：[1]徐州市河湖管理中心,江苏徐州221018 [2]徐州市工程管理中心,江苏徐州510635 [3]河海大学农业科学与工程学院,江苏南京210098

出　　处：《江苏建筑职业技术学院学报》2022年第1期45-48,共4页Journal Of Jiangsu Vocational Institute of Architectural Technology

基　　金：徐州市科技项目(KC19219)。

摘　　要：采用综合指标评价法,建立单层多目标模糊优选可变模型,运用涝渍综合排水指标试验装置,对玉米和大豆两种旱作物在灌浆期进行淹水,分别设计不同淹水时间2 d和4 d及不同淹水深度15 cm、10 cm和5 cm,以不涝不渍作为CK组对照处理,对7组样本进行评价,其中CK组最高,淹水深度5 cm略低,淹水深度15 cm最低,呈现出淹水深度越大,淹水时间越长,整体评价值越差,与实际情况相符。系统综合考虑了各项指标性质的差异,为下一步对旱作物涝渍胁迫进行精准防控提供了理论和实践依据。Using the comprehensive index evaluation method, a single-layer multi-objective fuzzy optimization variable model was established, and the waterlogging comprehensive drainage index test device was used to flood the two dry crops of corn and soybean during the filling period. Seven groups of samples were evaluated by designing different flooding time for 2 d and 4 d and different flooding depth for 15 cm, 10 cm and 5 cm respectively. No waterlogging or waterlogging was used as the control treatment of ck group. Among them, ck group is the highest, the flooding depth is 5 cm, slightly lower, and the flooding depth is 15 cm, which shows that the greater the flooding depth, the longer the flooding time, and the worse the overall evaluation value, which is consistent with the actual situation. The system comprehensively considers the differences in the nature of various indicators, which provides a theoretical and practical basis for the precise prevention and control of drought crop waterlogging stress in the next step.

关 键 词：模糊优选模型 旱作物涝渍胁迫试验 评价指标 

分 类 号：S565.1[农业科学—作物学]