使用基于 SVM 的机器学习方法预测摩洛哥高阿特拉斯地区 Oued Zat 流域当前和未来的沟壑侵蚀易发性

IF 1.9 4区农林科学 Q3 ENVIRONMENTAL SCIENCES Arid Land Research and Management Pub Date : 2024-08-18 DOI:10.1080/15324982.2024.2390477

Youssef Dallahi, Mohamed El Imame Malaainine, Caleb Dansou, Ishak Hbiak, Amal Boujraf, Collins Ashianga Orlando

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引用次数: 0

摘要

沟壑侵蚀是造成严重土地退化的主要自然灾害。在这里，我们的目的是评估 Oued Zat 流域（Hig...

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Prediction of current and future gully erosion susceptibility in the Oued Zat watershed in the High Atlas region of Morocco using an SVM-based machine learning approach

Gully erosion constitutes a major natural hazard causing significant land degradation. Here, we aimed to assess the current and future susceptibility of gully erosion in the Oued Zat watershed (Hig...

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来源期刊

Arid Land Research and Management 环境科学-环境科学

CiteScore

3.80

自引率

7.10%

发文量

审稿时长

9 months

期刊介绍： Arid Land Research and Management, a cooperating journal of the International Union of Soil Sciences , is a common outlet and a valuable source of information for fundamental and applied research on soils affected by aridity. This journal covers land ecology, including flora and fauna, as well as soil chemistry, biology, physics, and other edaphic aspects. The journal emphasizes recovery of degraded lands and practical, appropriate uses of soils. Reports of biotechnological applications to land use and recovery are included. Full papers and short notes, as well as review articles and book and meeting reviews are published.