基于RUSLE模型的摩洛哥北部inaou流域上游土壤侵蚀时空评价

Chakir Hamouch , Jamal Chaaouan , Charaf eddine Bouiss
{"title":"基于RUSLE模型的摩洛哥北部inaou<e:1>流域上游土壤侵蚀时空评价","authors":"Chakir Hamouch ,&nbsp;Jamal Chaaouan ,&nbsp;Charaf eddine Bouiss","doi":"10.1016/j.nhres.2024.08.002","DOIUrl":null,"url":null,"abstract":"<div><div>This study aims to assess the risk of soil erosion in two different years (1984 and 2022) to gain insights into the extent of soil loss risk in the study area spatially and temporally. Using the Revised Universal Soil Loss Equation (RUSLE), which evaluates the soil loss rate, focusing primarily on erosivity of rainfall \"R,\" soil erodibility \"K,\" vegetation cover \"C,\" topography \"LS,\" and anti-erosion practices \"P.\" To achieve this, we incorporated various factors of the equation into a Geographic Information System (GIS) and spatial remote sensing. By overlaying these factors, we obtained a quantitative map of soil losses in our watershed. The results of this work show that the upstream Inaouène experienced a strong erosion dynamic in both 1985 and 2022, with a notable decrease in the amount of soil loss in the last year. Soil degradation in 1985 had an average of about 68 (T/ha/year), with maximum and minimum losses between 2162 and 0.067 ​T/ha/year, while losses in 2022 recorded an average of 52.4 (T/ha/year), with a maximum of 1850 (T/ha/year). The study area represents very high quantities of losses in both periods compared to several studies conducted in this region using the same model. This is due to the fact that the study area is located in a region characterized by very favorable natural and human conditions and factors to trigger and promote significant soil losses, including concentrated and intense rainfall, the predominance of fragile rocks, steep slopes, low vegetation cover in the eastern and southeastern part of the terrain, in addition to irrational human interference with the land.</div></div>","PeriodicalId":100943,"journal":{"name":"Natural Hazards Research","volume":"5 1","pages":"Pages 148-156"},"PeriodicalIF":0.0000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial-temporal assessment of soil erosion using the RUSLE model in the upstream Inaouène watershed, Northern Morocco\",\"authors\":\"Chakir Hamouch ,&nbsp;Jamal Chaaouan ,&nbsp;Charaf eddine Bouiss\",\"doi\":\"10.1016/j.nhres.2024.08.002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study aims to assess the risk of soil erosion in two different years (1984 and 2022) to gain insights into the extent of soil loss risk in the study area spatially and temporally. Using the Revised Universal Soil Loss Equation (RUSLE), which evaluates the soil loss rate, focusing primarily on erosivity of rainfall \\\"R,\\\" soil erodibility \\\"K,\\\" vegetation cover \\\"C,\\\" topography \\\"LS,\\\" and anti-erosion practices \\\"P.\\\" To achieve this, we incorporated various factors of the equation into a Geographic Information System (GIS) and spatial remote sensing. By overlaying these factors, we obtained a quantitative map of soil losses in our watershed. The results of this work show that the upstream Inaouène experienced a strong erosion dynamic in both 1985 and 2022, with a notable decrease in the amount of soil loss in the last year. Soil degradation in 1985 had an average of about 68 (T/ha/year), with maximum and minimum losses between 2162 and 0.067 ​T/ha/year, while losses in 2022 recorded an average of 52.4 (T/ha/year), with a maximum of 1850 (T/ha/year). The study area represents very high quantities of losses in both periods compared to several studies conducted in this region using the same model. This is due to the fact that the study area is located in a region characterized by very favorable natural and human conditions and factors to trigger and promote significant soil losses, including concentrated and intense rainfall, the predominance of fragile rocks, steep slopes, low vegetation cover in the eastern and southeastern part of the terrain, in addition to irrational human interference with the land.</div></div>\",\"PeriodicalId\":100943,\"journal\":{\"name\":\"Natural Hazards Research\",\"volume\":\"5 1\",\"pages\":\"Pages 148-156\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Natural Hazards Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666592124000593\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Natural Hazards Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666592124000593","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

通过对1984年和2022年两个不同年份的土壤侵蚀风险进行评估,了解研究区土壤流失风险的时空程度。使用修订通用土壤流失方程(RUSLE)评估土壤流失率,主要关注降雨侵蚀力“R”、土壤可蚀性“K”、植被覆盖“C”、地形“LS”和抗侵蚀措施“p”。为了实现这一目标,我们将方程式的各种因素纳入地理信息系统(GIS)和空间遥感。通过叠加这些因素,我们获得了流域土壤流失的定量图。研究结果表明,1985年和2022年上游inaou流域都经历了强烈的侵蚀动态,最后一年的土壤流失量明显减少。1985年土壤退化平均约68 (T/ha/年),最大和最小损失量在2162 ~ 0.067 T/ha/年之间,2022年土壤退化平均为52.4 (T/ha/年),最大损失量为1850 (T/ha/年)。与使用同一模型在该地区进行的几项研究相比,该研究地区在这两个时期的损失量非常高。这是因为研究区所处的区域具有非常有利的自然和人文条件和因素,可以触发和促进土壤的显著流失,包括降雨集中、强降雨、脆弱岩石为主、斜坡陡峭、地形东部和东南部植被覆盖率低,以及人为对土地的不合理干扰。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial-temporal assessment of soil erosion using the RUSLE model in the upstream Inaouène watershed, Northern Morocco
This study aims to assess the risk of soil erosion in two different years (1984 and 2022) to gain insights into the extent of soil loss risk in the study area spatially and temporally. Using the Revised Universal Soil Loss Equation (RUSLE), which evaluates the soil loss rate, focusing primarily on erosivity of rainfall "R," soil erodibility "K," vegetation cover "C," topography "LS," and anti-erosion practices "P." To achieve this, we incorporated various factors of the equation into a Geographic Information System (GIS) and spatial remote sensing. By overlaying these factors, we obtained a quantitative map of soil losses in our watershed. The results of this work show that the upstream Inaouène experienced a strong erosion dynamic in both 1985 and 2022, with a notable decrease in the amount of soil loss in the last year. Soil degradation in 1985 had an average of about 68 (T/ha/year), with maximum and minimum losses between 2162 and 0.067 ​T/ha/year, while losses in 2022 recorded an average of 52.4 (T/ha/year), with a maximum of 1850 (T/ha/year). The study area represents very high quantities of losses in both periods compared to several studies conducted in this region using the same model. This is due to the fact that the study area is located in a region characterized by very favorable natural and human conditions and factors to trigger and promote significant soil losses, including concentrated and intense rainfall, the predominance of fragile rocks, steep slopes, low vegetation cover in the eastern and southeastern part of the terrain, in addition to irrational human interference with the land.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
4.10
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信