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Economic impacts of climate change on water resources and agriculture in Zayandehroud river basin in Iran

机译:气候变化对伊朗Zayandehroud River盆地水资源和农业的经济影响

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摘要

Climate change has drastic impacts on water resources and agricultural productivity, especially in arid and semiarid environments. The present study simulated and explored the economic impacts of climate change on the water and agriculture sectors of the Zayandehroud river basin in Iran for the years 2040 and 2070 in three major phases. In phase I, two general circulation models (GCM) (HadCM2 and CGCM3T63), an artificial neural network (ANN) rainfall-runoff model, and crop-water production functions were applied to evaluate the biophysical impacts of climate change on water resources and various crop yields. In Phase II, the aforementioned models were integrated into the hydro-economic spatial equilibrium model of Zayandehroud basin (HE-SEMZ), and the effects of the modeled runoff and socio-economics changes on the economic welfare of the water sector, its distributional consequences, and on temporal-spatial water prices and allocation were simulated. In Phase III, the simulated optimal allocated water to the agriculture sector was introduced into a positive mathematical programming (PMP) model of the agriculture sector to simulate follow-on changes in crop acreage, cropping patterns, and farmers' gross benefit. In this modeling framework, the role of two no-cost adaptation strategies in agriculture, i.e. modifications in crop irrigation and cropping pattern, were also investigated. The results showed that by mid-century, precipitation will be reduced and temperature increased in the Zayandehroud river basin. The direct result of these changes will be a reduction in the basin discharge by 4.3 % in 2040 and 8.1 % in 2070 compared to the base period. The simulated economic value of water showed upward trends under climate change and socio-economic scenarios, reflecting an increase in water scarcity. In response to changes in the scarcity value of water, users respond by changing their patterns of water use and allocation. The withdrawal by each sector decreases in response to reduced runoff, although agriculture will be more responsive. The results of the PMP model showed that by choosing optimal cropping pattern and an optimum deficient-irrigation strategy for each crop, there will be good opportunities for farmers to adapt to increasing water scarcity and higher temperatures induced by climate change.
机译:气候变化对水资源和农业生产力产生了巨大影响,特别是在干旱和半干旱环境中。本研究模拟和探索了2040年和2070年伊朗Zayandehroud河流域水和农业部门的经济影响。在第一阶段,应用了两个一般循环模型(GCM)(HADCM2和CGCM3T63),人工神经网络(ANN)降雨 - 径流模型以及作物水资源生产功能,评估气候变化对水资源和各种影响的生物物理影响农作物产量。在第二阶段,上述模型纳入了Zayandehroud盆地(HE-SEMZ)的水力经济空间均衡模型,以及模型径流和社会经济的影响对水部门的经济福利,其分布后果而且正在模拟时间空间水价和分配。在第三阶段,将模拟的最佳分配水引入农业部门的积极数学规划(PMP)模型,以模拟作物种植面积,种植模式和农民的效益的后续变化。在这种建模框架中,还研究了两种无成本适应策略的作用,即作物灌溉和种植模式的修改。结果表明,到中世纪,降水将减少,温度在Zayandehroud River盆地中增加。这些变化的直接结果将在2040年的盆地排放减少4.3%,与基准期间2070年的8.1%。水的模拟经济价值在气候变化和社会经济情景下呈上升趋势,反映了水资源稀缺的增加。为了应对水资源稀缺价值的变化,用户通过改变他们的水使用模式和分配模式来回应。虽然农业将更响应,每个部门的撤回减少响应减少。 PMP模型的结果表明,通过为每种作物选择最佳的种植模式和最佳缺乏灌溉策略,对农民将有很好的机会,以适应增加气候变化引起的水资源稀缺和更高的温度。

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