Growing soil erosion risks and their role in modulating catastrophic floods in North Africa

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Abstract

Intensifying hydroclimatic changes in North Africa are causing unprecedented floods, droughts, and land degradation patterns that are increasingly associated with human casualties, socioeconomic instabilities, and outflow migrations. These patterns’ and their future forecasts remain largely unquantified, aggravating the impacts on several populous areas. To address this deficiency, we employ pixel-based remote sensing data correlation analysis and soil loss modeling to constrain the uncertainties on the decadal hydroclimatic and ecosystem changes in North Africa. Using cloud-based big data analysis in Google Earth Engine, we establish the convolution between precipitation patterns and surface textural characteristics, evaluating the spatial distribution of soil erosion risks at the continental scale. Our investigation uses a multi-step approach, integrating risk areas derived from soil erosion with high-resolution population data, offering critical insights into zones of different vulnerabilities. Our results unveiled a significant escalation in soil erosion anomalies over the past two decades. In particular, 15 % of the areas receiving precipitation in all of North Africa are currently at medium to high risk of soil erosion versus only 7 % in 2002. These risks are concentrated in urban areas, where each year, ∼29,000 people become highly vulnerable to these hazards, up from ∼22,000 in 2002. These increases are primarily associated with the surge in semi-unformal urban settings and the rise in rain aggressiveness and storminess. These factors, combined with the poor public perception of the imminence of these risks, create hotspots where the impacts are becoming insurmountable, as considered herein for the case of the recent catastrophic floods in Derna, Libya, used as a validation site. We conclude that increased soil erosion will modulate the impacts of upcoming catastrophic floods. As such, a pressing change in urban and land use policies in expansive areas of North Africa is called for to increase their resilience to upcoming hydroclimatic fluctuations.

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北非日益严重的水土流失风险及其在调节灾难性洪水中的作用
北非日益加剧的水文气象变化正在造成前所未有的洪水、干旱和土地退化模式,并日益与人员伤亡、社会经济不稳定和人口外流相关联。这些模式及其未来预测在很大程度上仍未量化,加剧了对一些人口密集地区的影响。针对这一不足,我们采用基于像素的遥感数据关联分析和土壤流失建模来限制北非十年水文气候和生态系统变化的不确定性。利用谷歌地球引擎中基于云的大数据分析,我们建立了降水模式与地表纹理特征之间的卷积关系,评估了大陆尺度上土壤侵蚀风险的空间分布。我们的调查采用了多步骤方法,将从土壤侵蚀中得出的风险区域与高分辨率人口数据相结合,提供了对不同脆弱性区域的重要见解。我们的研究结果揭示了过去二十年土壤侵蚀异常现象的显著升级。特别是,目前整个北非有 15% 的降水地区面临中度到高度的土壤侵蚀风险,而 2002 年这一比例仅为 7%。这些风险主要集中在城市地区,每年有 29,000 人极易受到这些危害的影响,而 2002 年只有 22,000 人。这些增长主要与半不正规城市环境的激增以及雨水强度和暴雨量的增加有关。这些因素,再加上公众对这些风险迫在眉睫的认识不足,形成了影响变得难以克服的热点地区,本文将利比亚德尔纳最近发生的灾难性洪灾作为验证地点。我们的结论是,水土流失的加剧将调节即将到来的灾难性洪水的影响。因此,迫切需要改变北非广袤地区的城市和土地使用政策,以提高其对即将到来的水文气候波动的适应能力。
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来源期刊
International journal of applied earth observation and geoinformation : ITC journal
International journal of applied earth observation and geoinformation : ITC journal Global and Planetary Change, Management, Monitoring, Policy and Law, Earth-Surface Processes, Computers in Earth Sciences
CiteScore
12.00
自引率
0.00%
发文量
0
审稿时长
77 days
期刊介绍: The International Journal of Applied Earth Observation and Geoinformation publishes original papers that utilize earth observation data for natural resource and environmental inventory and management. These data primarily originate from remote sensing platforms, including satellites and aircraft, supplemented by surface and subsurface measurements. Addressing natural resources such as forests, agricultural land, soils, and water, as well as environmental concerns like biodiversity, land degradation, and hazards, the journal explores conceptual and data-driven approaches. It covers geoinformation themes like capturing, databasing, visualization, interpretation, data quality, and spatial uncertainty.
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