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Pizhūhish/hā-yi Rūstāyī
Article . 2019
Data sources: DOAJ
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Methods of Sustainable Agricultural Water Management in Hamedan Province

Authors: Leila Zolikhaei Sayyar; Karim Naderi Mahdeei; Reza Movahedi;

Methods of Sustainable Agricultural Water Management in Hamedan Province

Abstract

The purpose of this study was to delineate methods of sustainable agricultural water management. The study is based on a mixed methodology, namely both quantitative and qualitative. The statistical population included 130 water experts in Hamedan province. In the qualitative phase, 35 participants were purposefully selected, but, in the quantitative phase, there were 100 experts selected randomly according to Krejcie and Morgan’s sampling table. In order to identify the relationships between the independent variables (i.e. solutions to water management) and the dependent variable (i.e. sustainable agricultural water management), structural equation modeling was used through the PLS algorithm. The results showed that 55 % of the dependent variable variance was determined by 13 independent variables. Of these variables, the irrigation planning solution proved to be the main solution with the highest impact and a coefficient of 0.275. The next five factors with great effects on sustainable agricultural water management included applied and continuous training, water recycling, water transfer efficiency, information sharing, and reducing agricultural wastes with impact coefficients of 0.269, 0.247, 0.209, 0.197, and 0.172 respectively.

Keywords

Geography (General), Agricultural water, Social Sciences, Economic growth, development, planning, Mixed method, H, HD72-88, G1-922, Sustainable management, Solution

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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