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Impacts of changing water inflow distributions on irrigation and farm income along the Drâa River in Morocco

机译:摩洛哥德拉河沿岸的水流入分布变化对灌溉和农场收入的影响

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Irrigation water is essential for agriculture in the arid Drâa River basin in Morocco but climate change leads to increasingly unreliable water supply in the area. This article analyzes impacts of changing water inflow distributions on irrigation and farm income extending a conjunctive river basin model toward a stochastic modeling approach. Regional climate scenarios are used to derive a maximum likelihood density estimate of current and future water supplies. Based on these distributions, Monte Carlo simulations are performed to obtain stochastic model results on surface and groundwater irrigation as well as economic indicators for six oases along the river. The probability of farmers to receive revenues below the subsistence level is around 2% under current conditions, but this is likely to rise to rates of 6% to 15% depending on the underlying climate change scenario. The composition of water sources for irrigation will shift to more groundwater use. The river basin model is able to represent complex spatial interactions between oases as well as a partial complementarity between groundwater and surface water irrigation due to salinity management effects. Interestingly, the value of groundwater is not necessarily increasing under future climatic conditions as salinity problems are aggravated with expanded groundwater use.
机译:在摩洛哥干旱的德拉河流域,灌溉水对农业至关重要,但气候变化导致该地区的供水日益不可靠。本文分析了不断变化的水流分配对灌溉和农场收入的影响,将联合流域模型推广到了随机建模方法。区域气候情景用于得出当前和未来供水的最大似然密度估计。根据这些分布,进行蒙特卡洛模拟,以获取地表水和地下水灌溉的随机模型结果以及沿河的六个绿洲的经济指标。在当前条件下,农民获得低于生活水平的收入的可能性约为2%,但是根据潜在的气候变化情景,这一比率很可能会上升到6%至15%。灌溉用水的组成将转向更多地使用地下水。流域模型能够表示盐分管理作用下绿洲之间复杂的空间相互作用以及地下水和地表水灌溉之间的部分互补。有趣的是,在未来的气候条件下,地下水的价值并不一定会增加,因为随着地下水使用量的增加,盐度问题变得更加严重。

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