Impact of river erosion on variances in colluvial movement and type for landslides in the Polish Outer Carpathians

Cebulski, Jarosław

doi:10.1016/j.catena.2022.106415

Cited by 10 publications

(6 citation statements)

References 37 publications

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“…Assigning a movement type was done based on morphology observations on DEM associated with the bedding strike and dip data measured in the landslide vicinity. Landslides that remain in contact with stream channels are constantly active, as they are under the influence of continuous fluvial erosion 44 . The intensity of colluvium erosion near the rivers in the Outer Carpathians was found to be strongly dependent on the water levels in the adjacent stream 45 .…”

Section: Discussionmentioning

confidence: 99%

Landslide type inference based on statistical analysis of a high-resolution digital elevation model in Gorce National Park, Poland

Szczepanek,

Szczęch,

Kania

2024

Sci Rep

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High-resolution digital elevation models are commonly utilized for detecting and classifying landslides. In this study, we aim to refine landslide detection and classification by analyzing the geometry of landslides using slope and aspect, coupled with descriptive statistics up to the fourth central moment (kurtosis). Employing the Monte Carlo method for creating terrain topography probability distributions and ANOVA tests for statistical validation, we analyzed 364 landslides in Gorce National Park, Poland, revealing significant kurtosis differences across landslide types and lithologies. This methodology offers a novel approach to landslide classification based on surface geometry, with implications for enhancing scientific research and improving landslide risk management strategies.

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Section: Discussionmentioning

confidence: 99%

Landslide type inference based on statistical analysis of a high-resolution digital elevation model in Gorce National Park, Poland

Szczepanek,

Szczęch,

Kania

2024

Sci Rep

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“…Slopes located closer to rivers are generally more vulnerable to landslides due to factors such as increased water infiltration, erosion, and the destabilizing effect of flowing water [33,34]. We used the Euclidean distance tool to generate the distance to the river in ArcGIS Pro.…”

Section: Conditioning Factorsmentioning

confidence: 99%

Landslide Risks to Bridges in Valleys in North Carolina

Lin,

Chen,

Tang

et al. 2024

GeoHazards

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This research delves into the intricate dynamics of landslides, emphasizing their consequences on transportation infrastructure, specifically highways and roadway bridges in North Carolina. Based on a prior investigation of bridges in Puerto Rico after Hurricane Maria, we found that bridges above water and situated in valleys can be exposed to both landslide and flooding risks. These bridges faced heightened vulnerability to combined landslides and flooding events due to their low depth on the water surface and the potential for raised flood heights due to upstream landslides. Leveraging a dataset spanning more than a century and inclusive of landslide and bridge information, we employed logistic regression (LR) and random forest (RF) models to predict landslide susceptibility in North Carolina. The study considered conditioning factors such as elevation, aspect, slope, rainfall, distance to faults, and distance to rivers, yielding LR and RF models with accuracy rates of 76.3% and 82.7%, respectively. To establish that a bridge’s location is at the bottom of a valley, data including landform, slope, and elevation difference near the bridge location were combined to delineate a bridge in a valley. The difference between bridge height and the lowest river elevation is established as an assumed flooding potential (AFP), which is then used to quantify the flooding risk. Compared to traditional flood risk values, the AFP, reported in elevation differences, is more straightforward and helps bridge engineers visualize the flood risk to a bridge. Specifically, a bridge (NCDOT ID: 740002) is found susceptible to both landslide (92%) and flooding (AFT of 6.61 m) risks and has been validated by field investigation, which is currently being retrofitted by North Carolina DOT with slope reinforcements (soil nailing and grouting). This paper is the first report evaluating the multi-hazard issue of bridges in valleys. The resulting high-fidelity risk map for North Carolina can help bridge engineers in proactive maintenance planning. Future endeavors will extend the analysis to incorporate actual flooding risk susceptibility analysis, thus enhancing our understanding of multi-hazard impacts and guiding resilient mitigation strategies for transportation infrastructure.

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“…Hiện nay trên thế giới đã và đang có nhiều nghiên cứu liên quan đến vấn đề sạt lở do hạn hán nhất là trước tình hình biến đổi khí hậu làm cho các hiện tượng thời tiết cực đoan ngày càng xảy ra phổ biến và nghiêm trọng [1][2][3][4]. Nghiên cứu [5] chỉ ra việc bổ sung nước trên hoặc dưới bề mặt trái đất tạo ra những thay đổi về ứng suất có thể gây ra trượt lở đất và đứt gãy cả ổn định và không ổn định.…”

Section: Giới Thiệuunclassified

Ứng dụng phương pháp AHP và công nghệ GIS xây dựng bản đồ phân vùng nguy cơ sạt lở bờ sông khu vực bán đảo Cà Mau

Quang Trí,

Văn Nhật,

Thị Thanh Tuyết

2024

JHM

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Impact of river erosion on variances in colluvial movement and type for landslides in the Polish Outer Carpathians

Cited by 10 publications

References 37 publications

Landslide type inference based on statistical analysis of a high-resolution digital elevation model in Gorce National Park, Poland

Landslide type inference based on statistical analysis of a high-resolution digital elevation model in Gorce National Park, Poland

Landslide Risks to Bridges in Valleys in North Carolina

Ứng dụng phương pháp AHP và công nghệ GIS xây dựng bản đồ phân vùng nguy cơ sạt lở bờ sông khu vực bán đảo Cà Mau

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