摩洛哥水土流失:模拟和预测技术的系统回顾。

IF 3 4区 环境科学与生态学 Q3 ENVIRONMENTAL SCIENCES
Karim Charef, Laila Saafadi, Latifa Mouhir, Abdessalam Ouallali, Kamal Laabou, Aissam El Rherari
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引用次数: 0

摘要

水土流失和泥沙运动严重影响环境,特别是降低土壤肥力、农业生产能力和水质。因此,了解这些过程及其影响至关重要,特别是在像摩洛哥这样的地中海和半干旱地区。本综述澄清了在摩洛哥应用的模型和技术,重点是使用的数据的性质、实施的模型以及国家一级研究的空间分布。通过突出它们的优势和局限性,它为改进适合摩洛哥情况的建模方法的选择和应用提供了宝贵的指导。为此,该方法基于系统的文献综述和文献计量分析,对2000年至2023年间发表的84篇相关同行评议文章进行了详尽的研究。结果表明:(1)67%的研究区面积小于20万ha;(ii)大多数建模应用集中在Rif(35.71%)、Western Meseta(30.95%)和High Atlas(20.23%),其次是Middle Atlas(8.33%)、Anti-Atlas(3.57%)和Eastern Meseta (1.19%);(iii) 2023年的出版物数量最高;(iv)修正通用土壤流失方程(RUSLE)是最常用的模型;(5)对比分析表明,水土流失预测项目(WEPP)和Lisem综合空间地球模型(Lisem)是最有效的土壤侵蚀模拟模型。这些发现突出表明,需要通过改善数据可及性和整合高分辨率数据集来加强摩洛哥的侵蚀建模工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Soil water erosion in Morocco: a systematic review of modelling and prediction techniques

Soil water erosion and sediment movement significantly impact the environment, particularly reducing soil fertility, agricultural production capacity, and water quality. It is therefore crucial to understand these processes and their impacts, especially in a Mediterranean and semi-arid area such as Morocco. This review clarifies the models and techniques applied in Morocco, focusing on the nature of the data used, the models implemented, and the spatial distribution of studies at the national level. By highlighting their strengths and limitations, it provides valuable guidance to improve the selection and application of modeling approaches suited to the Moroccan context. To this end, the methodology was based on a systematic literature review and bibliometric analysis, providing an exhaustive study of 84 relevant peer-reviewed articles published between 2000 and 2023. The results indicate the following: (i) 67% of the study areas cover less than 200,000 ha; (ii) most modelling applications are concentrated in the Rif (35.71%), Western Meseta (30.95%), and High Atlas (20.23%), followed by the Middle Atlas (8.33%), Anti-Atlas (3.57%), and Eastern Meseta (1.19%); (iii) the highest number of publications was recorded in 2023; (iv) the Revised Universal Soil Loss Equation (RUSLE) is the most frequently used model; and (v) comparative analysis shows that the Water Erosion Prediction Project (WEPP) and the Lisem Integrated Spatial Earth Modeller (LISEM) are among the most effective models for simulating soil erosion. These findings highlight the need to enhance erosion modelling in Morocco through improved data accessibility and the integration of high-resolution datasets.

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来源期刊
Environmental Monitoring and Assessment
Environmental Monitoring and Assessment 环境科学-环境科学
CiteScore
4.70
自引率
6.70%
发文量
1000
审稿时长
7.3 months
期刊介绍: Environmental Monitoring and Assessment emphasizes technical developments and data arising from environmental monitoring and assessment, the use of scientific principles in the design of monitoring systems at the local, regional and global scales, and the use of monitoring data in assessing the consequences of natural resource management actions and pollution risks to man and the environment.
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