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Entropy 2019, 21(4), 364; https://doi.org/10.3390/e21040364

Agricultural Water Resources Management Using Maximum Entropy and Entropy-Weight-Based TOPSIS Methods

1
School of Water Conservancy & Civil Engineering, Northeast Agricultural University, Harbin 150030, China
2
Key Laboratory of Effective Utilization of Agricultural Water Resources of Ministry of Agriculture, Northeast Agricultural University, Harbin 150030, China
3
Department of Biological and Agricultural Engineering & Zachry Department of Civil Engineering, Texas A & M University, 321 Scoates Hall, 2117 TAMU, College Station, TX 77843-2117, USA
4
School of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, China
*
Author to whom correspondence should be addressed.
Received: 1 March 2019 / Revised: 24 March 2019 / Accepted: 3 April 2019 / Published: 4 April 2019
(This article belongs to the Special Issue Entropy Applications in Environmental and Water Engineering II)
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Abstract

Allocation and management of agricultural water resources is an emerging concern due to diminishing water supplies and increasing water demands. To achieve economic, social, and environmental goals in a specific irrigation district, decisions should be made subject to the changing water supply and water demand—the two critical random parameters in agricultural water resources management. This paper presents the foundations of a systematic framework for agricultural water resources management, including determination of distribution functions, joint probability of water supply and water demand, optimal allocation of agricultural water resources, and evaluation of various schemes according to agricultural water resources carrying capacity. The maximum entropy method is used to estimate parameters of probability distributions of water supply and demand, which is the basic for the other parts of the framework. The entropy-weight-based TOPSIS method is applied to evaluate agricultural water resources allocation schemes, because it avoids the subjectivity of weight determination and reflects the dynamic changing trend of agricultural water resources carrying capacity. A case study using an irrigation district in Northeast China is used to demonstrate the feasibility and applicability of the framework. It is found that the framework works effectively to balance multiple objectives and provides alternative schemes, considering the combinatorial variety of water supply and water demand, which are conducive to agricultural water resources planning. View Full-Text
Keywords: agricultural water management; supply and demand; optimization and evaluation; maximum entropy; entropy-weight-based TOPSIS agricultural water management; supply and demand; optimization and evaluation; maximum entropy; entropy-weight-based TOPSIS
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Li, M.; Sun, H.; Singh, V.P.; Zhou, Y.; Ma, M. Agricultural Water Resources Management Using Maximum Entropy and Entropy-Weight-Based TOPSIS Methods. Entropy 2019, 21, 364.

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