Modeling the evolution of loess-covered landforms in the Loess Plateau of China using a DEM of underground bedrock surface

Xiong, Liyang; Tang, Guoan; Li, Fayuan; Yuan, Baoyin; Lu, Zhiqu

doi:10.1016/j.geomorph.2013.12.009

Cited by 90 publications

(48 citation statements)

References 41 publications

(43 reference statements)

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“…Results confirm that with increasing thresholds, the TRCI gradually decreases, and that there is an increasing BTCI during the loess-deposition process. Besides a gradually decreasing trend, the average TRCI values are all greater than 1 but gradually move toward 1, suggesting that modern terrain has a higher topographic relief than underlying terrain in these relatively small watersheds, a finding that appears to contradict results from other studies (Xiong et al, 2014c). The finding from study Area B warranted more detailed For the entire study Area A, we used the aforementioned watershed terrain analysis method to investigate the loesslandform inheritance relationship.…”

Section: Spatial Variation Of Landform Inheritancementioning

confidence: 84%

“…Profound controlling effects that shape the morphology of modern topography from the paleotopography could be found over the study's entire macro‐scale Loess Plateau (Liu, ; Yuan et al, ; Xiong et al, ). Our results also suggest that modern topography preserved the primary trend of the paleotopography during the loess‐deposition process.…”

Section: Discussionmentioning

confidence: 99%

“…Hence, there is a need to examine the effect of scale on the spatial variation of loess deposition in relation to paleotopography. With the development of the multiple data source acquisition and digital terrain analysis method (Geomorphometry; Evans, 2012), it is possible to reconstruct pre-existing underlying paleotopography (Alexander et al, 2008;Campani et al, 2012;Perron and Fagherazzi, 2012;Castillo et al, 2014;Xiong et al, 2014c;Bergonse and Reis, 2015). A comparative analysis of both dual-layer terrains, including modern terrain and paleotopography, could help to reveal the landform evolution process.…”

Section: Introductionmentioning

confidence: 99%

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Paleotopographic controls on loess deposition in the Loess Plateau of China

Xiong

Tang

Strobl

et al. 2016

Earth Surf Processes Landf

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The underlying pre‐existing paleotopography directly influences the loess deposition process and shapes the morphology of current loess landforms. An understanding of the controlling effects of the underlying paleotopography on loess deposition is critical to revealing the mechanism of loess‐landform formation. However, these controlling effects exhibit spatial variation as well as uncertainty, depending on a study's data sources, methodologies and particular research scope. In this study, the geological history of a study area in the Loess Plateau of China that is subject to severe soil erosion is investigated using detailed geological information and digital elevation models (DEMs), and an underlying paleotopographic model of the area is constructed. Based on the models of modern terrain and paleotopography, we introduce a watershed hierarchy method to investigate the spatial variation of the loess‐landform inheritance relationship and reveal the loess deposition process over different scales of drainage. The landform inheritance relationships were characterized using a terrain‐relief change index (TRCI) and a bedrock terrain controllability index (BTCI). The results show that the TRCI appears to have an inverse relationship with increasing research scope, indicating that, compared with the paleotopography of the region, modern terrain has lower topographic relief over the entire area, while it has higher topographic relief in the smaller, local areas. The BTCI strengthens with increasing drainage area, which demonstrates a strong controlling effect over the entire study area, but a weak effect in the smaller, local areas because of the effect of paleotopography on modern terrain. The results provide for an understanding of the spatial variation of loess deposition in relation to paleotopography and contribute to the development of a process‐based loess‐landform evolution model. Copyright © 2015 John Wiley & Sons, Ltd.

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Section: Spatial Variation Of Landform Inheritancementioning

confidence: 84%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Paleotopographic controls on loess deposition in the Loess Plateau of China

Xiong

Tang

Strobl

et al. 2016

Earth Surf Processes Landf

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“…The Loess Plateau of China is the most typical loess landform in the world due to its intact geomorphological sequences, and as such it has received increasing attention (Xiong et al, 2014). The present study uses the Sheng mu, Sui de, Yan chuan, Gan quan, Yi jun, Chun hua and Chang wu for case studies (Figure 1a), for the following reasons: (1) the study areas should cover both intact sequences and morphological diversity; (2) the landform types of case areas should closely approach the sequence from "Huang Tu Mao" to "Huang Tu Liang", and to "Huang Tu Yuan".…”

Section: Data Preparationmentioning

confidence: 99%

DEM-based Feature Information Index of Runoff Nodes

Hu¹,

Strobl²

2016

giforum

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Runoff nodes, located where stream segments merge to form a larger one, carry important structural geographic information. Extensive research has been done on runoff nodes, but there is still a lack of work on measuring the information content of runoff nodes across watersheds. This paper develops a novel index, called the "Feature Information Index of Runoff Nodes" (FIIRN), to assess the feature information content according to the Theory of Rough Sets (TRS). Firstly, this paper establishes the conception of, and the algorithm behind, FIIRN. Then, by exploring seven typical landforms of the Loess Plateau of China as case studies, values of FIIRN are calculated after extracting all the runoff nodes. Our experiment shows that FIIRN can effectively represent the feature information of watersheds, such as runoff order or evolutionary status. In summary, FIIRN will play a significant role in future watershed analysis.

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“…Most past works on early identification of landslide were carried out from the following aspects, such as geological landform (Derbyshire et al 1995, Zhang et al 2012a, mathematical statistics (Gao et al 2010), remote sensing of geographic information technology (Meng et al 2009, Xiong et al 2014, differential Interferometric synthetic aperture radar (Wasowski andBovenga 2014, Zeng et al 2014), etc. However, there was little loess landslide research about early recognition based on filed investigation (Mentes et al 2009, Xu et al 2012a, Wasowski and Bovenga 2014.…”

Section: Introductionmentioning

confidence: 99%

Study on Early Recognition of Loess Landslides Based on Field Investigation

Peng¹,

Xu²,

Xing³

et al. 2016

IJGE

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For the purpose of agriculture irrigation, river water has been introduced into Heifangtai region from the Yellow River several times a year since 1968, which ensued a steady rise in underground water level by a yearly rate of 0.18 m with a cumulative total rise of up to 20 m over Heifangtai catchment. This ponding effect of water injection triggered landslides (3~5 events per year) at the edge of Heifangtai tableland. Failures of loess slopes have caused high causalities, and inhibited the local economy. This study aims at investigating the distribution patterns of loess landslides and their formation conditions in Heifangtai region, so as to establish approaches to early recognition and prediction of underlying landslides. Landslides in Heifangtai were delineated through visual interpretation of high resolution images obtained by unmanned aerial vehicle photogrammetry. Digital Elevation Model with high resolution 10 cm was acquired by 3D laser scanning technology and closerange photogrammetry. With field investigation, landslide distribution patterns and characteristics, as well as the local geological structure, were examined and two early recognition criteria for landslides are established. The results indicate that an intact slope section between two old landslide sections is the most possible locations for new landslides and areas with rising groundwater level are prone to landslides. For example, in 2015 a landslide occurred at the gaps of a 2014 landslide body. The rising of local groundwater level was induced either by blockage of underground water outlets by landslide deposits and freeze in winter or by heavy rainfall. Early recognition of loess landslides would protect local communities and land resources from landslide hazards.

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Modeling the evolution of loess-covered landforms in the Loess Plateau of China using a DEM of underground bedrock surface

Cited by 90 publications

References 41 publications

Paleotopographic controls on loess deposition in the Loess Plateau of China

Paleotopographic controls on loess deposition in the Loess Plateau of China

DEM-based Feature Information Index of Runoff Nodes

Study on Early Recognition of Loess Landslides Based on Field Investigation

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