Ke Song, Wenyu Wang, Xinlan Liang, Yang Liu, Ying Cao, Yong Wang
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In this study, we developed an improved depression-filling algorithm based on digital elevation models (DEMs) to evaluate the sediment index of connectivity (<i>IC</i>) under different microtopographic treatments (surfaces with continuous depressions, alternating depressions, continuous mounds, alternating mounds, continuous mounds and depressions, and alternating mounds and depressions) during rainfall events. A smooth surface was used for the control treatment. The results indicated that the presence of microtopographic conditions and the type of algorithm significantly influenced sediment connectivity and yield. The mean <i>IC</i> values obtained from different algorithms notably differed. The combined M&V depression-filling–simulated annealing algorithms (M&V–SAA) generated relatively few parallel flow directions, thereby promoting the creation of additional continuous sediment connectivity paths. 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引用次数: 0
摘要
沉积物连通性是评估土壤侵蚀程度的重要指标,从而反映了给定流域内潜在的输沙能力。洼地充填是地表微地形水文分析中最基本的操作步骤之一。然而,在斜坡尺度下,高效算法计算的微地形对沉积物连通性的影响仍然不确定。本研究基于数字高程模型(dem)开发了一种改进的洼地填充算法,以评估降雨期间不同微地形处理(连续洼地、交替洼地、连续丘地、交替丘地、连续丘地和交替丘地)下的沉积物连通性指数(IC)。采用光滑表面作为对照处理。结果表明,微地形条件的存在和算法类型对泥沙连通性和产量有显著影响。不同算法得到的平均IC值差异显著。组合的M&;V洼地填充模拟退火算法(M&V - saa)产生相对较少的平行流动方向,从而促进了额外的连续沉积物连通路径的产生。在降雨强度为60 mm h−1的条件下,丘丘交替坡面产沙量显著增加,丘丘与洼地交替坡面产沙量显著降低。通过M&; V-SAA算法计算的IC值与产沙量呈显著正相关,而通过其他算法计算的IC值与产沙量无显著相关。在M&;V算法中集成了模拟退火机制,从而提高了微形貌尺度下计算IC值的准确性。这些发现可以为沉积物连通性模型的优化提供重要信息,并提供降雨事件中沉积物运输的精确定量描述。
Microtopography-scale research on the sediment connectivity of hillslopes based on optimised M&V depression-filling and a simulated annealing algorithm
Sediment connectivity serves as a crucial indicator for assessing the extent of soil erosion, thus reflecting the potential sediment transport capacity within a given watershed. Depression filling is one of the most elementary operation procedures in the hydrologic analysis of surface microtopography. However, the influence of microtopography on sediment connectivity calculated by a high-efficiency algorithm at the hillslope scale remains uncertain. In this study, we developed an improved depression-filling algorithm based on digital elevation models (DEMs) to evaluate the sediment index of connectivity (IC) under different microtopographic treatments (surfaces with continuous depressions, alternating depressions, continuous mounds, alternating mounds, continuous mounds and depressions, and alternating mounds and depressions) during rainfall events. A smooth surface was used for the control treatment. The results indicated that the presence of microtopographic conditions and the type of algorithm significantly influenced sediment connectivity and yield. The mean IC values obtained from different algorithms notably differed. The combined M&V depression-filling–simulated annealing algorithms (M&V–SAA) generated relatively few parallel flow directions, thereby promoting the creation of additional continuous sediment connectivity paths. The slope surface with alternating mounds significantly increased the sediment yield, whereas that with alternating mounds and depressions markedly decreased the sediment yield at a rainfall intensity of 60 mm h−1. The IC value calculated via the M&V–SAA algorithm was significantly positively correlated with the sediment yield, whereas the IC values calculated via the other algorithms were not significantly correlated with the sediment yield. A simulated annealing mechanism was integrated into the M&V algorithm, thereby increasing the accuracy of the calculated IC values at the microtopographic scale. These findings could critically inform the optimisation of sediment connectivity models and provide a precise quantitative description of sediment transport during rainfall events.
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