Quantitative mapping of desertification risk using the modified MEDALUS model: a case study in the Mazayejan Plain, Southwest Iran

IF 0.5 Q3 GEOGRAPHY AUC Geographica Pub Date : 2019-12-20 DOI:10.14712/23361980.2019.20
R. Zakerinejad, M. Masoudi
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引用次数: 11

Abstract

This paper presents the Modified MEDALUS (MMEDALUS) approach, a quantitative assessment of desertification, in the case study area located in the Southern part of Iran. Six main factors of desertification including: soil, climate, plant cover, management, erosion state and ground water situation were considered for the model approach. Then several sub-factors determining the quality of each main factor were quantified according to their quality and weighted on a scale between 1.0 and 2.0. We used a Geographic Information System (GIS) software to analyze and prepare the spatial distribution of the factor layers. Subsequently, the final desertification hazard map was prepared by combining the different MEDALUS factors in Arc GIS 10.3 in order to define the final hazard classes on the basis of hazard scores based on the geometric mean of the main factors. The MEDALUS and MMEDALUS models show the “Desertification Potential” that in turn was validated with the current state of desertification observed in the field. The results show that the applied MMEDALUS approach yield significantly better results than the MEDALUS model in the study area. The results also show that the areas under severe and very severe hazard are the most extensive classes in the desertification map. Thus, we illustrate that most of the study area is sensitive to desertification. However, we highlight that management, climate and water table qualities were the most important indicators affecting the desertification processes, while soil quality seems to play a minor role in our study area.
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基于改进MEDALUS模型的荒漠化风险定量制图:以伊朗西南部Mazayejan平原为例
本文以伊朗南部地区为例,介绍了一种基于改进MEDALUS (MMEDALUS)的荒漠化定量评价方法。模型方法考虑了土壤、气候、植被覆盖、管理、侵蚀状况和地下水状况6个主要影响因素。然后将决定各主因子质量的若干子因子按其质量进行量化,并按1.0 ~ 2.0的尺度进行加权。利用地理信息系统(GIS)软件对因子层的空间分布进行分析和编制。随后,结合Arc GIS 10.3中不同的MEDALUS因子,绘制最终的沙漠化危害图,并根据主要因子的几何平均值得出危害分值,确定最终的危害等级。MEDALUS和MMEDALUS模型显示的“荒漠化潜力”反过来又与实地观察到的荒漠化现状相验证。结果表明,在研究区,应用MMEDALUS方法的结果明显优于MEDALUS模型。结果还表明,严重和极严重危险区是沙漠化地图中最广泛的类别。因此,我们认为研究区大部分是沙漠化敏感区。然而,我们强调管理、气候和地下水位质量是影响沙漠化过程的最重要指标,而土壤质量似乎在我们的研究区域起次要作用。
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来源期刊
AUC Geographica
AUC Geographica GEOGRAPHY-
CiteScore
1.20
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊最新文献
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