Factor Affecting the Sustainable Management of Agricultural Water

Masoud Samian, K. Mahdei, H. Saadi, H. Balali, R. Movahedi
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引用次数: 1

Abstract

The main purpose of the study was to investigate the factors affecting the sustainable management of agricultural water in Hamedan. The study population included all wheat farmers possessing irrigated farms in Hamedan city (N=1800). Of these farmers a sample of 317 people has been selected by using randomized multi-stage sampling method. The data were collected through a questionnaire's tool with help of the interview technique. Accuracy of the questions in the questionnaire was face validated by a panel of specialists. To test the reliability of the questionnaires, the questionnaires were first given to 30 farmers and Cronbach's Alpha was calculated (Alpha=0.92) then the questionnaire was finalized. Data analyzing methods such as Multiple Regression and the coefficient of variation (CV= standard deviation /mean) were used in this study. To determine the level of sustainability of the farms Bossel method proposed for classification and grading the fields was used. The results showed that variables agronomic factors, policy factors and institutional factors were able to explain 34 percent of the dependent variable's changes (sustainable management of agricultural water). According to the results, 95.3 percent of the farmers were categorized into unsustainable group, 4.1 percent into semi-sustainable and only 0.6 percent in sustainable group.
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影响农业用水可持续管理的因素
本研究的主要目的是探讨影响哈马丹地区农业用水可持续管理的因素。研究人群包括哈马丹市所有拥有灌溉农场的小麦种植者(N=1800)。采用随机多阶段抽样法,抽取农户317人。数据是通过问卷调查工具和访谈技术的帮助下收集的。问卷中问题的准确性由专家小组当面验证。为了检验问卷的信度,首先对30名农民发放问卷,计算Cronbach's Alpha (Alpha=0.92),然后定稿。本研究采用多元回归、变异系数(CV= standard deviation /mean)等数据分析方法。为了确定农场的可持续性水平,采用了Bossel方法对农田进行分类和分级。结果表明,农艺因素、政策因素和制度因素能够解释34%的因变量变化(农业用水的可持续管理)。结果显示,95.3%的农户属于不可持续群体,4.1%的农户属于半可持续群体,仅有0.6%的农户属于可持续群体。
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