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     Advance Journal of Food Science and Technology


Study on Soil Water Resource Carrying Capacity Based on Multi-objective Model in Hebei

Gao Huiyan and Yang Luhua
Department of Water Conservancy, College of Civil and Rural Construction, Agricultural University of Hebei, Baoding 071001, China
Advance Journal of Food Science and Technology  2016  12:955-962
http://dx.doi.org/10.19026/ajfst.10.2294  |  © The Author(s) 2016
Received: July ‎7, ‎2015  |  Accepted: August ‎15, ‎2015  |  Published: April 25, 2016

Abstract

Based on analysis and summary of the present achievements concerned soil water resource, the conception and connotation of soil water resource were defined and its carrying capacity was given in this study. According to characteristics of soil water resource carrying capacity, the multi-objective model of soil water resource carrying capacity was established for Hebei province. In the model, objective functions consists of 4 parts, including agriculture output value, grain yield, proportion of agricultural water consumption and eco-environmental water consumption, each crop’s planting area is defined as decision variable. After changing the multiple objectives into a single objective by fuzzy binary contrast method, this multi-objective model was solved by using the method of single objective programming. The results show that the agriculture output value and grain yield could be increased steadily and agricultural water consumption is decreased contrarily by the soil water resource optimum scheme in comparison with present situation. The consumptions of soil water resource are 6.80 and 7.62 billion m3 respectively in 2020 and 2030 by developing agricultural technology of the water-saving irrigation, straw returning, film-covering planting and greenhouse cultivation. The amount of saving water for agriculture is 0.75 and 1.79 billion m3 respectively in 2020 and 2030 year.

Keywords:

Carrying capacity, fuzzy binary contrast method, multi-objective model, soil water resource,


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Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2042-4876
ISSN (Print):   2042-4868
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