Hierarchy structure characteristics analysis for the China Loess watersheds based on gully node calibration

Zhu, Hao; Zhao, Yipeng; Xu, Yuexue; Liu, Haiying

doi:10.1007/s11629-018-5000-8

Cited by 8 publications

(8 citation statements)

References 35 publications

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“…Gullies, as vessels of material and energy transportation during earth surface processes (Perron et al 2009;Willett et al 2014;Shruthi et al 2015;Xiong et al 2017), are the most active geomorphic units and widely distributed in the Loess Plateau and other regions (Korzeniowska et al 2018;Li et al 2019). Accompanying gully development, soil erosion arises and gully morphology changes constantly, which sculptures a complex and diverse combination of geomorphology (Valentin et al 2005;Wu and Cheng 2005;Castillo and Gómez 2016;Lv et al 2017;Zhu et al 2018). In other words, the gully of different development stage shows different gully morphology.…”

Section: Introductionmentioning

confidence: 99%

“…The thoughts to extract these topographic feature elements were mainly based on terrain morphologic features (such as variations of the slope, curvature, and elevation), hydrological analysis (such as the flow accumulation and counter-current tracking), geomorphic structural features, and the image edge detection. Based on this, the scale effect of gully feature elements and their spatial structure has been explored in some typical drainage basins (Sharma et al 2011;Li et al 2005a;Zhu et al 2018;Dai et al 2019). Furthermore, According to these extracted topographic feature elements, spatial variations of the gully morphology and the hydrological property have been analyzed via the constructed statistical indexes.…”

Section: Introductionmentioning

confidence: 99%

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Spatial variation of gully development in the loess plateau of China based on the morphological perspective

Dai

et al. 2020

Earth Sci Inform

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Gullies characterized by frequent material exchange have profoundly affected the loess landforms evolution in the Loess Plateau of China. Accompanying gully development, various types of gullies have shaped the distinctive loess landforms. Thus, the spatial variations of gully morphology map the regional differences of gully development and loess landforms. Based on 6 key test areas with 5 m resolution DEM and 156 evenly distributed test areas with 25 m resolution DEM, a comprehensive gullyshape index system of topographic feature points, lines, and surfaces was constructed to describe spatial differences of the gully development. After comparing gully-shape indexes in the key test areas, an obvious correlation existed between these indexes and loess landform types. The gully development degree was low in Shenmu and Chunhua, high in Suide, Yanchuan, and Ganquan, while Yijun lay in-between. Using the method of Universal Kriging interpolation, a series of spatial interpolation maps of the gully-shape indexes were obtained, which revealed gully development degree in the whole Loess Plateau. Overall, The active areas of gully development were basically distributed along loess hilly ridges, loess hills, loess ridges, and in a few medium mountain areas, while the inactive areas were basically distributed in the thin loess coverage areas, including plains, river terraces, aeolian dunes, and a few loess platforms. Finally, the gully development regionalization was realized, which contained 6 subzones. These results provided significant references for loess landform research and soil erosion management in the Loess Plateau.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial variation of gully development in the loess plateau of China based on the morphological perspective

Dai

et al. 2020

Earth Sci Inform

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“…The Loess watershed is a hierarchical organization system composed of gully feature nodes and gullies (Zhu et al, 2018). The spatial structure of the loess watershed can be decomposed into a gully organization structure composed of gullies and different gully feature nodes, such as gully confluence nodes, gully source points, and watershed outlet points (Zhu et al 2012(Zhu et al , 2018. Nodes, edges, and weights are the three basic elements for constructing a GWCN.…”

Section: Methodsmentioning

confidence: 99%

“…With advances in digital terrain analysis (DTA), a series of intensive studies on landforms of the Loess Plateau has been conducted from various aspects, such as landform evolution, landform features, and regional distribution patterns (Lv et al, 2017;Ge et al, 2005). Moreover, the terrain features of typical loess landforms have been explored from a range of perspectives (Zhu et al 2014(Zhu et al , 2018Sharma et al 2011;Zhang et al, 2015), and the complex evolutionary processes of these landforms have been simulated through different methodologies, such as the cellular automata model, slope spectrum, and the modern catchment landform evolution model (Tian et al, 2008;Cao et al, 2013;Li et al, 2016). In addition, the effects of variations in regional vegetation on soil erosion on the Loess Plateau have been comprehensively analyzed (Zheng 2006;Chen et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

“…From a geomorphological viewpoint, the Loess Plateau, as a representative area of gully terrain, can be abstracted into massive gully structures, which are hierarchical organization systems composed of gully feature nodes and gullies (Zhu et al, 2018). Since gullies are the most active and basic landform units of loess landforms (Korzeniowska et al 2018), the complex network methodology can be used to simulate the gully spatial structure of loess landforms and explore the overall spatial distribution of their terrain features on the Loess Plateau.…”

Section: Introductionmentioning

confidence: 99%

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Quantitative analysis and spatial distribution of landform spatial structure on Loess Plateau

Lin

Chen

Qianqian

et al. 2022

Progress in Physical Geography: Earth and Environment

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The Loess Plateau is the largest gully geomorphic region in the world, characterized by the most intense soil erosion in a typical loess-covered area. Previous studies have focused on the terrain and texture of this region; however, there have been no systematic studies on the gully spatial structure of the Loess Plateau. Therefore, the present study investigated the characteristics and spatial distribution of landform spatial structure over the Loess Plateau. Specifically, gully weighted complex networks (GWCNs) were applied to simulate the gully spatial structure of loess landforms, and a series of quantitative indices were introduced to delineate these. Using 57 geomorphological units uniformly distributed across the Loess Plateau as test areas and six typical loess landforms as sample areas, GWCNs were constructed, and using these GWCNs, the spatial structure and internal mechanisms of typical loess landforms were explored. From a series of fresh insights, such as the regional scale-free distribution, homologous structure, tightness, community effect, connectivity, stability, and complexity, regular variations in quantitative indices delineate the spatial distribution of the characteristics of landform spatial structure over the plateau. Moreover, the spatial distribution of complex network indices exhibited strong spatial coupling with loess landforms. Overall, GWCNs could be effectively used for landform recognition and performed well. In conclusion, these experimental results suggest that introducing complex networks into landform studies can offer novel insights into landform quantitative analyses. The present work is of great significance, as it proposes a new methodology for describing the spatial structure and terrain features of landforms in quantitative analyses and furthers our understanding of landform genesis.

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Using music and music‐based analysis to model and to classify terrain in geomorphology

Lin,

Yu,

Chen

et al. 2024

Earth Surf Processes Landf

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Music has long served as a bridge between science and nature, allowing for the artistic expression of natural and human‐made phenomena. While music has been used in geomorphology as an engaging teaching strategy, its application in specific scientific inquiries within geomorphology remains relatively unexplored. Drawing on the morphological similarities between music and terrain relief, this work introduced a novel music‐based method for modelling and expressing terrain relief based on the drainage basin profile (DBP). It converts terrain relief into pitches and time values according to mapping rules and then describes terrain relief in an audible form. Based on 5 sample areas and 360 drainage basins on the Loess Plateau, we developed the application of the proposed method on four core geomorphic tasks, including landform interpretation, analysis, recognition and classification. Experimental results show that (1) terrain music can interpret the terrain relief and landform evolution processes through its musical structure and rhythmic variations; (2) music derivatives are related to different terrain features, such as terrain relief, terrain variation intensity, landform evolution degree and terrain complexity, and have a well‐functioning relationship with a series of conventional terrain derivatives; (3) leveraging machine learning techniques, the terrain music method is effective for landform recognition, achieving an overall accuracy of 88.85% and a mean accuracy of 88.85%; and (4) via a case study in Northern Shaanxi, music modelling successfully divided it into 12 distinct landform regions and 8 landform types. Different landform regions exhibit clear regional boundaries and gradual transition zones, while specific landform regions share prominent terrain, spatial clustering and landform processes. Our delineation provides reasonable and effective landform differentiation but captures additional bed‐rock mountain features compared with a traditional method. This study highlights that music is not only an artistic expression but also a valuable research paradigm for a wide range of geomorphic tasks, offering fresh perspectives and enhancing our understanding of loess landforms. The results show a promising effort to integrate music theory into practical geomorphic tasks, demonstrating the potential of using music as a medium for conveying and analysing spatial information in geomorphology.

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Hierarchy structure characteristics analysis for the China Loess watersheds based on gully node calibration

Cited by 8 publications

References 35 publications

Spatial variation of gully development in the loess plateau of China based on the morphological perspective

Spatial variation of gully development in the loess plateau of China based on the morphological perspective

Quantitative analysis and spatial distribution of landform spatial structure on Loess Plateau

Using music and music‐based analysis to model and to classify terrain in geomorphology

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