Multi-Temporal UAV Surveys and Modelling of Soil Erosion in the Ca l'Isard Catchment, NE Spain

IF 4.3 2区 农林科学 Q2 SOIL SCIENCE
Ona Torra, Marcel Hürlimann, Càrol Puig-Polo, Felipe Buill, Caroline Le Bouteiller, Coline Ariagno, Jérôme Latron
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引用次数: 0

Abstract

This study investigates seasonal sediment dynamics in highly active Mediterranean mountain badlands by integrating multi-temporal Uncrewed Aerial Vehicle (UAV) surveys, and landscape evolution modelling (LEM) in the Ca l'Isard catchment (NE Spain). Four years (2020–2024) of high-resolution topographic data obtained from UAV revealed a consistent seasonal pattern; winter sediment accumulation (more than 0.5 m in incised channels), followed by summer export. In this sense, intense rainfall events are identified as the main drivers of soil detachment within the system. However, sediment transport through the drainage network towards the outlet points depends on the generation of sufficient runoff capable of mobilizing and transferring the previously detached material. The catchment exhibited an average substantial sediment yields (42–105 T/km2 year), with interannual variability strongly linked to seasonal patterns. The LEM, calibrated using UAV-derived digital elevation models (DEMs), successfully replicated observed fluxes at both gully (1000 m2) and catchment scales (1.32 km2). The model correctly captured the annual and seasonal sediment dynamics, revealing strong Pearson correlations (0.7) between modelled and monitored data. Minor discrepancies emerged during extreme high-intensity rainfall events. Our findings demonstrate that badland erosion is governed by climatic factors (i.e., freezing–thawing cycles, high intensity rainfalls) and highlight the value of coupling field monitoring with process-based modelling to successfully analyse sediment dynamics in rapidly eroding badlands. Moreover, this framework provides a transferable approach for quantifying sediment dynamics in similar mountain regions.

西班牙Ca l'Isard流域土壤侵蚀的多时相无人机调查与建模
本研究通过整合Ca l'Isard流域(西班牙东北部)的多时相无人机(UAV)调查和景观演变模型(LEM),研究了高度活跃的地中海山地荒地的季节性沉积物动态。从无人机获取的4年(2020-2024)高分辨率地形数据显示了一致的季节模式;冬季泥沙淤积(下切河道大于0.5 m),其次是夏季出口。从这个意义上说,强降雨事件被确定为系统内土壤剥离的主要驱动因素。然而,泥沙通过排水网络向出水点的运输取决于产生足够的径流,能够调动和转移先前分离的物质。流域平均产沙量为42 ~ 105 T/km 2年,年际变化与季节模式密切相关。LEM使用无人机衍生的数字高程模型(dem)进行校准,成功地复制了在沟壑(1000平方米)和流域(1.32平方公里)尺度上观测到的通量。该模型正确地捕获了年度和季节性沉积物动态,揭示了模型和监测数据之间很强的Pearson相关性(0.7)。在极端高强度降雨事件中出现了较小的差异。我们的研究结果表明,坏地侵蚀受气候因素(即冻融循环、强降雨)的控制,并强调了将现场监测与基于过程的建模相结合的价值,以成功分析快速侵蚀的坏地的沉积物动力学。此外,该框架为类似山区的沉积物动力学定量提供了一种可转移的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
European Journal of Soil Science
European Journal of Soil Science 农林科学-土壤科学
CiteScore
8.20
自引率
4.80%
发文量
117
审稿时长
5 months
期刊介绍: The EJSS is an international journal that publishes outstanding papers in soil science that advance the theoretical and mechanistic understanding of physical, chemical and biological processes and their interactions in soils acting from molecular to continental scales in natural and managed environments.
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