Prediction of gully erosion susceptibilities using detailed terrain analysis and maximum entropy modeling: A case study in the Mazayejan plain, southwest Iran

IF 0.5 4区 地球科学 Q4 GEOGRAPHY, PHYSICAL
R. Zakerinejad, M. Maerker
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引用次数: 47

Abstract

Gully erosion is one of the most severe environmental problems in large areas of Iran. Land degradation and accelerated desertification are the consequence in susceptible areas. Gully erosion normally takes place when surface runoff is concentrated and thus, detach and transfer soil particles down the slopes into the drainage network. In traditional soil erosion studies these processes often have been neglected. In this study we investigate the spatial distribution of gully erosion processes with a quantitative method since in many national assessment approaches just qualitative models were applied. For this study we utilized a detailed terrain analysis and a stochastic modeling approach using mechanical statistics. Moreover we predict the potential spatial distribution of gullies in the Mazayejan plain of Fars province in southwestern Iran where gully erosion is the main environmental threat. Our methodological approach consists in the following steps: i) mapping of gully erosion phenomena in a test area based on Google Earth images; ii) development of a digital elevation model (DEM) with 10 meter resolution, iii) detailed terrain analysis deriving more than 20 terrain indices, iv) application of the Maxent model for the test area using the gully erosion forms as dependent variable and topographic indices as predictor variable and finally v) prediction of the spatial distribution of gully erosion potential for the entire study area. Model performance was evaluated by the Receiver Operating Characteristic (ROC). The results obtained show that the Maxent model perform very well and thus, it is suitable for the prediction of the gully erosion potential in the area. Among the terrain indices utilized in the prediction the most important ones are: convergence index, plan curvature, and slope. The proposed methodology allows conducting a proper gully erosion assessment in order to identify the priority areas for soil conservation and land use management.
利用详细地形分析和最大熵模型预测沟道侵蚀敏感性:以伊朗西南部马扎耶詹平原为例
沟壑侵蚀是伊朗大部分地区最严重的环境问题之一。易受影响地区的后果是土地退化和沙漠化加速。沟壑侵蚀通常发生在地表径流集中的时候,因此,土壤颗粒从斜坡上分离并转移到排水网络中。在传统的土壤侵蚀研究中,这些过程往往被忽视。由于在许多国家的评估方法中只使用定性模型,因此在本研究中我们采用定量方法来研究沟壑侵蚀过程的空间分布。在这项研究中,我们利用了详细的地形分析和机械统计学的随机建模方法。此外,我们预测了伊朗西南部法尔斯省Mazayejan平原沟壑侵蚀是主要环境威胁的潜在空间分布。我们的方法包括以下步骤:i)基于谷歌地球图像绘制测试区域的沟壑侵蚀现象;ii)开发10米分辨率的数字高程模型(DEM); iii)详细的地形分析,得到20多个地形指数;iv)在试验区应用Maxent模型,以沟壑侵蚀形式为因变量,地形指数为预测变量,最后v)预测整个研究区沟壑侵蚀潜力的空间分布。采用受试者工作特征(Receiver Operating Characteristic, ROC)评价模型的性能。结果表明,Maxent模型具有较好的预测效果,适用于该地区沟壑区侵蚀势的预测。在预测中使用的地形指标中,最重要的是收敛指数、平面曲率和坡度。建议的方法可以进行适当的沟蚀评估,以确定土壤保持和土地使用管理的优先领域。
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: It publishes original papers, short communications, news and book reviews of Physical Geography, Glaciology, Geomorphology and Quaternary Geology. The journal furthermore publishes the annual reports on italian glaciers, the official transactions of the Comitato Glaciologico Italiano and the Newsletters of the International Association of Geomorphologist.
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