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Open AccessArticle

Decision-Making of Irrigation Scheme for Soybeans in the Huaibei Plain Based on Grey Entropy Weight and Grey Relation–Projection Pursuit

1
Stage Key Laboratory of Hydraulic Engineering Simulation and Safety, Tianjin University, Tianjin 300072, China
2
Key Laboratory of Water Conservancy and Water Resources of Anhui Province, Water Resources Research Institute of Anhui Province and Huaihe River Commission, Ministry of Water Resources, Hefei 230088, China
3
School of Civil Engineering, Hefei University of Technology, Hefei 230009, China
*
Author to whom correspondence should be addressed.
Entropy 2019, 21(9), 877; https://doi.org/10.3390/e21090877
Received: 30 June 2019 / Revised: 20 August 2019 / Accepted: 5 September 2019 / Published: 9 September 2019
(This article belongs to the Special Issue Entropy Applications in Environmental and Water Engineering II)
To provide a scientific reference for formulating an effective soybean irrigation schedule in the Huaibei Plain, potted water deficit experiments with nine alternative irrigation schemes during the 2015 and 2016 seasons were conducted. An irrigation scheme decision-making index system was established from the aspects of crop water consumption, crop growth process and crop water use efficiency. Moreover, a grey entropy weight method and a grey relation–projection pursuit model were proposed to calculate the weight of each decision-making index. Then, nine alternative schemes were sorted according to the comprehensive grey relation degree of each scheme in the two seasons. The results showed that, when using the entropy weight method or projection pursuit model to determine index weight, it was more direct and effective to obtain the corresponding entropy value or projection eigenvalue according to the sequence of the actual study object. The decision-making results from the perspective of actual soybean growth responses at each stage for various irrigation schemes were mostly consistent in 2015 and 2016. Specifically, for an integrated target of lower water consumption and stable biomass yields, the scheme with moderate-deficit irrigation at the soybean branching stage or seedling stage and adequate irrigation at the flowering-podding and seed filling stages is relatively optimal. View Full-Text
Keywords: irrigation scheme decision-making; system comprehensive evaluation; grey relation analysis; entropy weight; projection pursuit; soybean; potted experiment; Huaibei Plain irrigation scheme decision-making; system comprehensive evaluation; grey relation analysis; entropy weight; projection pursuit; soybean; potted experiment; Huaibei Plain
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Cui, Y.; Jiang, S.; Jin, J.; Feng, P.; Ning, S. Decision-Making of Irrigation Scheme for Soybeans in the Huaibei Plain Based on Grey Entropy Weight and Grey Relation–Projection Pursuit. Entropy 2019, 21, 877.

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