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Optimum allocation of Hirmand river water in Sistan area

机译:锡斯坦地区希尔曼德河水的最佳分配

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One of the biggest planning problems in less developed countries is insufficient recognition of potentials and nonoptimal application of the production factors. This research is a case study of Shibab district located in Sistan region of Iran.The necessary data were collected from a random sampling of 105 farmers during 1998-1999 through questionnaires. Three different cropping patterns suitable to temporal allocation of water i.e. 247, 336, and 185 mm~3 per year were selected. Linear Programming model was used for finding the optimal patterns. Technical coefficients were calculated by means of farmers sampling. Results indicated that the most important restriction in agricultural activities of this area was water scarcity in summer season. Shadow prices of water in June & July with 247mm~3 annual water capacity was 228 and 54.6 Rials respectively ($=1750Rials). On the other hand in drought which water volume was between 136-202 mm~3, shadow price was about 174,5 Rials. Estimation of normative demand function for water implied that quantity of water demanded had negative relationship with its price and demand curve would be stepwise. Shadow price for >= 274 mm~3 water volume was zero and point elasticity for 127 mm~3water capacity was equal to one(0.9999). There was land constraint only in situation of 335 mm~3 available water capacity and shadow price of one hectare was estimated around 940110 Rials. Furthermore, with increasing in water quantity, limitation of fertilizer was observed. Ignoring the effect of self-sufficiency constraint from model were considered and the results showed that by remove of these restrictions, total net revenue can be increased. In this paper outcomes about water allocation for different activities in agricultural sector of study area were analyzed and some suggestions are given for optimum allocation & utilization of water resources.
机译:在欠发达国家中,最大的计划问题之一是对潜力的认识不足,生产要素的应用也不尽人意。这项研究是对位于伊朗锡斯坦(Shistan)地区的希巴布(Shibab)地区的一个案例研究。必要的数据是从1998-1999年间通过问卷调查对105位农民进行随机抽样收集的。选择了三种适合于水的时间分配的种植模式,即每年247、336和185 mm〜3。线性规划模型用于寻找最佳模式。技术系数是通过农民抽样来计算的。结果表明,该地区农业活动的最重要限制因素是夏季缺水。 6月和7月的水影子价格为247mm〜3年水,分别为228里亚尔和54.6里亚尔(= 1750里亚尔)。另一方面,在水量介于136-202 mm〜3之间的干旱中,影子价格约为174,5里亚尔。用水的标准需求函数的估计意味着用水需求量与其价格成负相关,需求曲线将是逐步的。 > = 274 mm〜3水量时的影子价格为零,而127 mm〜3水量时的点弹性等于1(0.9999)。仅在可用水容量为335 mm〜3的情况下才存在土地限制,并且估计每公顷940110里亚尔的影子价格。此外,随着水量的增加,观察到肥料的限制。考虑了从模型中忽略自给自足约束的影响,结果表明,通过消除这些约束,可以增加总净收入。本文分析了研究区农业部门不同活动的用水分配结果,并提出了优化分配和利用水资源的一些建议。

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