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Hazard assessment of desertification using MEDALUS model in Mazayjan plain, Fars province, Iran

机译:使用MEDALUS模型在伊朗Fars省Mazayjan平原进行荒漠化危害评估

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摘要

This paper presents the MED ALUS approach, a quantitative assessment of desertification, in the case study area located in the Southern part of Iran. Four main factors or indicators of desertification including: soil, climate, plant cover, and management were considered for evaluation. Then several sub-indicators affecting the quality of each main indicator were quantified according to its quality and given a weighting of between 1.0 and 2.0. Arc View software was used to analyze and prepare the layers of quality maps using the geometric mean to integrate the individual sub-indicator maps. After that the final desertification hazard map was prepared by overlaying different main indicator (quality) maps in the GIS and the final hazard classes were defined on the basis of hazard scores arrived at by the geometric mean of the main indicators. Results show that the areas under critical hazard are the most extensive class in the desertification map. In other words, most of the study area is sensitive todesertification. Results also showed that the climate and plant cover qualities and then management quality are the most important indica-tors affecting desertification process. This undesirable state has been caused by arid climate and also poor conditions of rangelands. Also the human activities play an important role in accelerating desert-ification process.
机译:本文介绍了MED ALUS方法,即在伊朗南部的案例研究区对荒漠化的定量评估。评估考虑了荒漠化的四个主要因素或指标:土壤,气候,植物覆盖率和管理。然后根据其质量对影响每个主要指标质量的几个子指标进行量化,并赋予权重1.0至2.0。使用Arc View软件使用几何平均值来分析和准备质量图的图层,以集成各个子指标图。之后,通过在GIS中覆盖不同的主要指标(质量)图来准备最终的荒漠化危害图,并根据主要指标的几何平均值得出的危害评分来定义最终危害类别。结果表明,在沙漠化地图中,处于严重危险之下的区域是最广泛的类别。换句话说,大多数研究领域对沙漠化敏感。结果还表明,气候和植物覆盖质量以及管理质量是影响荒漠化过程的最重要指标。这种不良状态是由于干旱的气候以及牧场条件差造成的。人类活动在加速荒漠化进程中也起着重要作用。

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