Geomorphic effect of debris-flow sediments on the Min River, Wenchuan Earthquake region, western China

Hu, Xudong; Zhou, Liqin; Liu, Weiming; Wang, Hao; Cui, Lei

doi:10.1007/s11629-021-6816-1

Cited by 11 publications

(2 citation statements)

References 54 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…where S is channel slope, °; ks is the steepness index, m 0.9 ; A is the upstream catchment area, m 2 ; in This study we fixed concavity index of θ = 0.45 to extract the normalized steepness index (ksn) to facilitate the comparison of the differences between of more reaches [26].…”

Section: Steepness Index Extractionmentioning

confidence: 99%

Geomorphic effect of landslide dam on the Jinsha River

Zhou,

Liu,

Zhou

2024

ACE

View full text Add to dashboard Cite

As an extreme surface process, landslide dam affects the long-term change of river landform, especially the change of channel and hillslope. The Jinsha River is located on the eastern edge of the Qinghai-Tibet Plateau, the structural geology is active, developed more landslide geological disaster. Based on the 30 m SRTM DEM, we automatically extracted the river longitudinal profile, steepness index, river knickpoint and excess topography using TopoToolbox. Through interpretation of remote sensing imagery and field work, we identified 660 landslide dams, more than 90% are located in the excess topography with a threshold hillslope of 30. Our analysis reveals that there are 481 river knickpoints were extracted with heights above 30 m, Among them, 70 river knickpoints have good spatial correlation with the landslide dam, landslide dam has an impact can form knickpoints of up to 478m. In the densely distributed river channel of the landslide dam, the steepness index with the relatively high values. Therefore, landslide dams may have a significant inf1uence on the channel and hillslope, we should pay attention to the role of landslide dam in the evolution of river landscape.

show abstract

Section: Steepness Index Extractionmentioning

confidence: 99%

Geomorphic effect of landslide dam on the Jinsha River

Zhou,

Liu,

Zhou

2024

ACE

View full text Add to dashboard Cite

show abstract

“…'Telemetering' refers to the collection of objects to be studied at a remote point from which they are then automatically transmitted to a receiving device for monitoring [9]. Telemetry technologies offer excellent integration performance, tracking performance and remote-control performance, being widely used to analyze and manage natural disasters [10].…”

Section: Introductionmentioning

confidence: 99%

Feature Extraction Algorithm of Massive Rainstorm Debris Flow Based on Ecological Environment Telemetry

Li,

Zhao,

et al. 2023

Water

View full text Add to dashboard Cite

In order to accurately extract the characteristics of debris flow caused by group rainstorms, effectively identify the on-site information of debris flow, and provide a scientific basis for debris flow monitoring, early warning and disaster control, this paper proposes a method for extracting the characteristics of heavy rainstorm debris flow using multiregional ecological environment remote sensing. In the ecological environment where debris flows occur frequently, remote sensing data of heavy rainstorm debris flows are preprocessed using remote sensing technology, providing an important basis for the feature extraction of debris flows. The kernel principal component analysis method and Gabor filters are innovatively used to extract the spectral and texture features of rainstorm and debris flow remote sensing images, and the convolutional neural network structure is improved based on the open source deep learning framework, integrating multilevel features to generate debris flow feature maps. The improved convolution neural network is then used to extract the secondary features of the fusion feature map, and the feature extraction of heavy rainstorm debris flow is realized. The experiment shows that this method can accurately extract the characteristics of heavy rainstorm debris flow. Fused remote sensing images of debris flow effectively ameliorate the problem of insufficient informational content in a single image and improve image clarity. When the Gabor kernel function has eight different directions, the feature extraction effect of the debris flow image in each direction of the heavy rainstorm is the best.

show abstract

Wildfire, extreme precipitation and debris flows, oh my! Channel response to compounding disturbances in a mountain stream in the Upper Colorado Basin, USA

Ridgway,

Lane,

Canham

et al. 2024

Earth Surf Processes Landf

View full text Add to dashboard Cite

Compounding changes in climate and human activities stand to increase sediment input to rivers in many landscapes, including via discrete perturbations such as post‐fire debris flows. Because sediment supply is a dominant control on river morphology, understanding mountain river responses to sediment regime perturbations is critical to predicting and addressing downstream effects to infrastructure, water security and aquatic habitat. A growing body of literature explores the causes, likelihood, size and composition of post‐fire debris flows, but the channel response to these disturbances remains poorly studied. This study used repeat field surveys, time‐lapse photographs and pre‐ and post‐disturbance remote sensing datasets to document and analyse space‐ and time‐varying channel response to post‐fire debris flows along a steep mountain stream in the Upper Colorado River Basin, USA. Specifically, we evaluated channel morphology and bed composition changes, correlations between channel changes and valley and channel attributes, and the relative importance of spring snowmelt versus summer monsoon events. Several cross‐sectional channel change types were observed from lidar a month after post‐fire debris‐flow events, including channelized and braided incision into deposits, incision into the pre‐fire channel bed, bank erosion and no change. Channel changes were most correlated with pre‐fire channel width, valley width and unit stream power, and these relationships could be tested in other burned locations to evaluate their transferability. Repeat channel surveys before and after snowmelt indicate rapid recovery and channel narrowing following major sediment disturbances, although sediment deposits remained in the channel margins. Together, these results highlight the importance of field and remote sensing‐based channel surveys to improve understanding of, and potential to predict, mountain channel response to compounding climate disturbances.

show abstract

Geomorphic effect of debris-flow sediments on the Min River, Wenchuan Earthquake region, western China

Cited by 11 publications

References 54 publications

Geomorphic effect of landslide dam on the Jinsha River

Geomorphic effect of landslide dam on the Jinsha River

Feature Extraction Algorithm of Massive Rainstorm Debris Flow Based on Ecological Environment Telemetry

Wildfire, extreme precipitation and debris flows, oh my! Channel response to compounding disturbances in a mountain stream in the Upper Colorado Basin, USA

Contact Info

Product

Resources

About