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A Mathematical Model for Assessment of Socio- Economic Impact of Climate Change on Agriculture Activities: Cases of the East of Morocco (Africa)

机译:评估气候变化对农业活动的社会经济影响的数学模型:摩洛哥东部(非洲)的案例

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Objectives: The work aims to presents a novel application of mathematical modelling framework that is assesses Socioeconomic impact of climate change on agriculture activities, taking into account the agricultural, socio-economic and hydrology systems. Methods and Novelty: An integrated model disaggregated by type of farms was developed for a pilot area named “Ait Ben Yacoub ? located in the East of Morocco. This model integrates economic, agronomic hydraulic and social data. One Major contribution of this model is a detailed disaggregation by spatial units (hydrological units, cropping areas) and by farm sizes to assess the social impact of climate change on different types of farms. It’s an optimization model with a nonlinear objective function and that was calibrated with the use of the positive mathematical programming method. Findings: The model results show the tremendous impact of climate change on farmers’ incomes and on their living standards. It also shows that small farms of less than 2ha in area will be most vulnerable to climate change. Applications: The current work was designed to build a tool for analysis and support for decision making regarding policy on the allocation of the water resource, and also allowing a better reflection on the issue of water valorization in agricultural sector.
机译:目标:这项工作旨在提出一种数学建模框架的新应用,该模型可以在考虑到农业,社会经济和水文学系统的情况下评估气候变化对农业活动的社会经济影响。方法和新颖性:针对一个名为“ Ait Ben Yacoub?位于摩洛哥东部。该模型集成了经济,农艺水力和社会数据。该模型的主要贡献是按空间单位(水文单位,耕地面积)和农场规模进行了详细分类,以评估气候变化对不同类型农场的社会影响。这是具有非线性目标函数的优化模型,并使用正数学编程方法进行了校准。调查结果:模型结果显示了气候变化对农民收入及其生活水平的巨大影响。这也表明,面积小于2公顷的小型农场将最容易受到气候变化的影响。应用:当前的工作旨在建立一个工具,用于分析和支持有关水资源分配政策的决策,也可以更好地反映农业部门的水资源增值问题。

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