Next Article in Journal
Variability of Spatially Grid-Distributed Precipitation over the Huaihe River Basin in China
Next Article in Special Issue
Factor Analysis and Estimation Model of Water Consumption of Government Institutions in Taiwan
Previous Article in Journal / Special Issue
Optimal Use of Agricultural Water and Land Resources through Reconfiguring Crop Planting Structure under Socioeconomic and Ecological Objectives
Article Menu
Issue 7 (July) cover image

Export Article

Open AccessArticle
Water 2017, 9(7), 490; https://doi.org/10.3390/w9070490

Agricultural Water Productivity Oriented Water Resources Allocation Based on the Coordination of Multiple Factors

Centre for Agricultural Water Research in China, China Agricultural University, Beijing 100083, China
*
Author to whom correspondence should be addressed.
Received: 28 March 2017 / Revised: 12 June 2017 / Accepted: 20 June 2017 / Published: 5 July 2017
(This article belongs to the Special Issue Modeling of Water Systems)
Full-Text   |   PDF [2896 KB, uploaded 10 July 2017]   |  

Abstract

Agricultural water productivity (AWP), which is associated with multiple factors, is an important index for measuring the effectiveness of agricultural water management. The purpose of this study is to promote AWP through optimally allocating limited agricultural water resources with the coordination of related elements. Firstly, the coordination effects of multiple factors related to AWP are quantified as relative optimum membership degrees based on the fuzzy optimum selecting theory. Secondly, based on the relative optimum membership degrees for various crops, a linear fractional programming model is established to maximize AWP in agricultural water resources allocation. Thirdly, the impacts of the allocation schemes on the development of social-economy and ecological environment are discussed using the multi-dimensional regulation theory. The developed integrated system has advantages in increasing agricultural water productivity through the coordination of multiple factors with aspects of economy, society and resources. Moreover, the system is capable of screening schemes considering harmonious development of resources, economy, society and ecology based on optimization results, providing decision makers with more sustainable schemes for irrigation water allocation. The integrated system including the aforementioned three parts is applied to a real-world case study in China to demonstrate its feasibility and applicability. Different water allocation schemes for various crops under different scenarios were obtained. The average value of AWP is 1.85 kg/m3, which is 0.31 kg/m3 higher than the current value of AWP. An optimum scheme with 1.1405 × 108 m3 of water being allocated was also selected due to its highest level of coordination for resources, economy, society and ecology. The developed system can provide an effective method for AWP promotion. The obtained results can help local decision makers adjust water resources allocation schemes. View Full-Text
Keywords: agricultural water productivity; water resources allocation; coordination of multiple factors; linear fractional programming; multi-dimensional regulation agricultural water productivity; water resources allocation; coordination of multiple factors; linear fractional programming; multi-dimensional regulation
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Zhao, J.; Li, M.; Guo, P.; Zhang, C.; Tan, Q. Agricultural Water Productivity Oriented Water Resources Allocation Based on the Coordination of Multiple Factors. Water 2017, 9, 490.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top