In order to select the unified water level control scheme based on resources, environments and benefits, different irrigation and drainage schemes were developed to simulate the waterlogging stress of winter wheat at different growth stages. Entropy weight method and TOPSIS model were orga-nically combined, and four indicators were selected from three aspects, of high yield of winter wheat, efficient utilization of water resources, and reduction of non-point source pollution, to build a winter wheat water level management evaluation system. The weight of each index was determined by entropy weight method, and 13 different water level management schemes were calculated by using TOPSIS model. The theoretical fit Si of each treatment was obtained, and the effects of waterlogging stress on the water level management schemes were evaluated. According to the calculation results of the model, winter wheat was most affected by waterlogging at the milk-200 mm(3 d)(5 d-800 mm), resulting in a significant decrease in yield. At the tillering stage of-50 mm(1 d)(5 d-200 mm), the winter wheat yield, water saving and emission reduction can be achieved. The results accord with experimental law and are of certain practical value.
MIAO Zi-Mei-,LI Jing-Chun-,CHEN Dong-. Evaluating water management plan of winter wheat in waterlogging conditions based on entropy weighted TOPSIS model[J]. Journal of Drainage and Irrigation Machinery Engin, 2018, 36(12): 1306-1311.
GE Daokuo, CAO Hongxin, YANG Yuwang,et al. Monitoring and early warning of regional drought and water logged for wheat based on crop growth model[J].Jiangsu agricultural sciences, 2017, 45(22):299-304.(in Chinese)
XIAO Menghua, JIN Qiu, CHU Linlin. Effects of waterlogging stress on change in nitrogen of winter wheat in South of China [J]. Journal of drainage and irrigation machinery engineering, 2015, 33(7):618-625.(in Chinese)
SHAO Guangcheng, YU Shuang′en, LIU Na, et al. Study on continuous days of water logging and excessive soil water as drainage index of wheat [J]. Transactions of the CSAE, 2010, 26(8):56-60.(in Chinese)
WANG X G, CHEN Z W, MAO Z, et al. Irrigation, drainage and ecological engineering approaches to controlled farmland nonpoint source pollution[C]//Third International Conference on Intelligent System Design and Engineering Applications. IEEE Computer Society, 2013:909-912.
YANG Gao, BO Zhu, TAO Wang,et al. Seasonal change of non-point source pollution-induced bioavailable phosphorus loss: A case study of Southwestern China[J]. Journal of hydrology, 2012, 420(1):373-379.
WEI Zhangmin, LI Zeming, LI Jiabao. Comprehensive evaluation on farmland leveling methods based on TOPSIS model[J]. Journal of drainage and irrigation machinery engineering, 2014, 32(4):356-362.(in Chinese)
VETSCHERA R. Entropy and the value of information[J]. Central European journal of operations research, 2000(3):195.
HWANG C L, YOON K. Methods for Multiple Attribute Decision Making[M]//Multiple Attribute Decision Making. Springer Berlin Heidelberg, 1981:58-191.
ZHANG Jun, LIANG Chuan. Application of TOPSIS model based on gray correlation coefficient matrix in the evaluation of water environment quality[J]. Journal of Sichuan University(engineering science edition), 2009, 41(7):97-101.(in Chinese)
FANG Chong, ZHANG Chunle, LU Mingben.Application of TOPSIS model based on entropy weight cofficient in comprehensive evaluation of water-saving reconstruction benefit in Youjiang irrigation district[J]. Water saving irrigation, 2011(2):52-54.(in Chinese)
LEI Xunping, QIU Guanghua.Empirical study about carrying capacity evaluation of regional resources and environment based on entropy-TOPSIS model[J]. Journal of environmental science, 2016, 36(1):314-323.(in Chinese)