Integrating sediment connectivity and stream power index with RUSLE for modelling soil erosion dynamics in a large Himalayan basin under modern and future climate scenarios

IF 2.8 3区 地球科学 Q2 GEOGRAPHY, PHYSICAL
Shobhit Singh, Somil Swarnkar, Rajiv Sinha
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Abstract

Soil erosion in mountainous catchments is one of the most serious problems and, combined with monsoonal rainfall, triggers several disasters such as landslides, flash floods, debris flows and siltation in river channels. The Himalayan basins are particularly susceptible to erosion because of their unique geological, topographic and geomorphological settings. Human-induced perturbances such as road construction, tunnelling, dams, reservoirs and other infrastructure projects have further increased soil erosion, impacting millions of people in these regions. The Tawi River in the western Himalayas is an important tributary of the Indus River system. It is characterized by a large mountainous catchment prone to severe erosion and a relatively smaller alluvial part that is prone to flooding. We have used an integrated approach of soil erosion modelling (RUSLE) and geomorphic analysis, including sediment connectivity and stream power distribution to compute sediment transport potential (STP). We then combine soil erosion modelling and STP results to compute the Soil Erosion and Transport Index (SETI) for assessing soil erosion dynamics in the Tawi basin. The SETI shows a strong correlation with sediment yield estimates, confirming its reliability in assessing sediment transport dynamics in the study area. In this novel approach implemented in a GIS framework, we have further investigated the impact of climate change on soil erosion and its dynamics. Our results show that the Tawi basin is extremely diverse in terms of erosion and sediment yield owing to variable topographic, geomorphic and landcover characteristics of the subbasins. Topographic steepness (LS factor) has the highest contribution towards soil erosion followed by crop and management (CP) factor in most subbasins. Further, we show that soil erosion rates will be accelerated under future warming climates by 6–67% compared to modern rates for the mountainous and transitional subbasins, whereas the alluvial subbasins will not be impacted much. Accordingly, soil erosion dynamics and associated hazards are likely to be intensified in the mountainous and transitional basins. The alluvial basins will remain unaffected in terms of soil erosion dynamics, but the flood risk is likely to be increased manifold because of accelerated sediment flux and channel aggradation.

Abstract Image

结合沉积物连通性和河流动力指数与RUSLE模拟现代和未来气候情景下大喜马拉雅盆地土壤侵蚀动力学
山区集水区的土壤侵蚀是最严重的问题之一,再加上季风降雨,引发了山体滑坡、山洪暴发、泥石流和河道淤积等几种灾害。喜马拉雅盆地由于其独特的地质、地形和地貌环境,特别容易受到侵蚀。人为干扰,如道路建设、隧道开挖、水坝、水库和其他基础设施项目,进一步加剧了土壤侵蚀,影响到这些地区的数百万人。位于喜马拉雅山西部的塔威河是印度河水系的一条重要支流。它的特点是一个大的山区集水区,容易受到严重的侵蚀,而一个相对较小的冲积区,容易发生洪水。我们使用了土壤侵蚀模型(RUSLE)和地貌分析的综合方法,包括泥沙连通性和河流功率分布来计算泥沙输送潜力(STP)。然后,我们将土壤侵蚀模型和STP结果结合起来计算土壤侵蚀和运输指数(SETI),用于评估塔威盆地的土壤侵蚀动态。SETI显示出与产沙量的强相关性,证实了其在评估研究区域输沙动力学方面的可靠性。在GIS框架下实施的这种新方法中,我们进一步研究了气候变化对土壤侵蚀及其动态的影响。研究结果表明,由于各子盆地的地形、地貌和土地覆盖特征不同,塔维盆地的侵蚀产沙量差异极大。地形坡度因子(LS)对土壤侵蚀的贡献最大,其次是作物和经营因子(CP)。此外,我们发现在未来变暖气候下,山地和过渡性亚盆地的土壤侵蚀速率将比现代速率加快6-67%,而冲积亚盆地则不会受到太大影响。因此,山地和过渡盆地的土壤侵蚀动力学和相关危害可能会加剧。在土壤侵蚀动力学方面,冲积盆地不会受到影响,但由于泥沙通量加快和河道淤积,洪水风险可能会成倍增加。
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来源期刊
Earth Surface Processes and Landforms
Earth Surface Processes and Landforms 地学-地球科学综合
CiteScore
6.40
自引率
12.10%
发文量
215
审稿时长
4 months
期刊介绍: Earth Surface Processes and Landforms is an interdisciplinary international journal concerned with: the interactions between surface processes and landforms and landscapes; that lead to physical, chemical and biological changes; and which in turn create; current landscapes and the geological record of past landscapes. Its focus is core to both physical geographical and geological communities, and also the wider geosciences
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