Geomorphic effectiveness of check dams in a debris-flow catchment using multi-temporal topographic surveys

Cucchiaro, Sara; Cavalli, Marco; Vericat, Damià; Crema, Stefano; Llena, Manel; Beinat, Alberto; Marchi, Lorenzo; Cazorzi, Federico

doi:10.1016/j.catena.2018.11.004

Cited by 85 publications

(37 citation statements)

References 62 publications

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“…Terrestrial Laser Scanner (TLS) and Structure from Motion (SfM) topographic surveys carried out in selected sectors of the basin, have permitted evaluating the erosion and depositions related to debris flows (Cucchiaro et al, 2018) and the effect of check dams on sediment dynamics (Cucchiaro et al, 2019a). The lack of this information for the whole basin and the entire monitoring period, however, hampers the understanding of the variations in frequency and magnitude of the debris flows in the Moscardo Torrent basin.…”

Section: Discussionmentioning

confidence: 99%

Debris flows recorded in the Moscardo catchment (Italian Alps) between 1990 and 2019

Marchi¹,

Cazorzi²,

Arattano³

et al. 2020

Preprint

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Abstract. This paper presents debris-flows data recorded in the Moscardo Torrent (eastern Italian Alps) between 1990 and 2019. In this time interval, 30 debris flows were observed, 26 of them were monitored by sensors installed on the channel, while four were only documented through post-event observations. Monitored data consist of debris-flow hydrographs, measured utilizing ultrasonic sensors, and rainfall. Debris flows in the Moscardo Torrent occur from early June to the end of September, with higher frequency in the first part of summer. The paper presents data on triggering rainfall, flow velocity, peak discharge, and volume for the monitored hydrographs. Simplified triangular hydrographs and dimensionless hydrographs were derived to show the basic features of the debris flows in the Moscardo Torrent (time to peak, surge duration, flow depth) and permitting comparison with other instrumented catchments. The dataset is made available to the public with the following DOI: https://doi.pangaea.de/10.1594/PANGAEA.919707 .

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Section: Discussionmentioning

confidence: 99%

Debris flows recorded in the Moscardo catchment (Italian Alps) between 1990 and 2019

Marchi¹,

Cazorzi²,

Arattano³

et al. 2020

Preprint

Self Cite

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“…The existing studies assume that the influencing factors for susceptibility are constant over time [15,54]. However, the DEM data always change significantly over time owing to landscape reshaping, such as landslides and engineering construction [30,31,55]. A susceptibility assessment is, therefore, closely related to the data source [56], and as such the susceptibility maps of the study area are not consistent.…”

Section: Advantages and Limitationsmentioning

confidence: 99%

“…However, because of landscape changes and reshaping processes (e.g., earthquakes and engineering construction), the DEM data usually show obvious temporal variation. An example of significant temporal variation of DEM data was shown by Cucchiaro et al, who substantiated that the DEM difference of the eastern Italian Alps within one month is up to 0.14 m [30]. Pineux et al demonstrated that the changes experienced by a DEM over time are obvious and unpredictable [31].…”

Section: Introductionmentioning

confidence: 97%

Exploring the Impact of Multitemporal DEM Data on the Susceptibility Mapping of Landslides

Wang

Han

et al. 2020

Applied Sciences

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Digital elevation models (DEMs) are fundamental data models used for susceptibility assessment of landslides. Due to landscape change and reshaping processes, a DEM can show obvious temporal variation and has a significant influence on assessment results. To explore the impact of DEM temporal variation on hazard susceptibility, the southern area of Sichuan province in China is selected as a study area. Multitemporal DEM data spanning over 17 years are collected and the topographic variation of the landscape in this area is investigated. Multitemporal susceptibility maps of landslides are subsequently generated using the widely accepted logistic regression model (LRM). A positive correlation between the topographic variation and landslide susceptibility that was supported by previous studies is quantitatively verified. The ratio of the number of landslides to the susceptibility level areas (RNA) in which the hazards occur is introduced. The RNA demonstrates a general decrease in the susceptibility level from 2000 to 2009, while the ratio of the decreased level is more than fifteen times greater than that of the ratio of the increased level. The impact of the multitemporal DEM on susceptibility mapping is demonstrated to be significant. As such, susceptibility assessments should use DEM data at the time of study.

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“…) and the impact of channel control works on such an active catchment (Cucchiaro et al. ). Such a test site offers the opportunity to evaluate the accuracy of several interpolation techniques with a special focus on morphometry‐related analyses.…”

Section: Test Areamentioning

confidence: 99%

Can inpainting improve digital terrain analysis? Comparing techniques for void filling, surface reconstruction and geomorphometric analyses

Crema

Llena

Calsamiglia

et al. 2020

Earth Surf Processes Landf

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The investigation of form and processes in geomorphology and ecology is highly dependent on topographic data: a reliable digital terrain representation is in fact a key issue across environmental and earth sciences. In many cases, the processing of high‐resolution topographic data (e.g., light detection and ranging (LiDAR), structure from motion) has to face issues such as void filling, vegetation/feature removal and interpolation accuracy that are usually related to (i) intrinsic limitations of the adopted technology, (ii) local conditions affecting the survey or (iii) specific design scenario. In this paper, we develop a methodology to test the accuracy of an image inpainting algorithm to fill data voids in complex mountain areas. The devised experiment exploits the availability of a high‐resolution, LiDAR‐derived digital terrain model and the inpainting approach accuracy is checked against some widely used interpolation techniques (natural neighbor, spline, inverse distance weighting, kriging). In order to better mimic the actual surface texture, a methodology to introduce local topographic variability to the interpolated surface is also presented. The results show a better performance of the inpainting algorithm especially in the case of complex and rugged topography. Two examples showing an effective usage and accuracy of the proposed technique are reported, highlighting the drawbacks that a poor surface representation can introduce. The whole procedure is made freely available within a Matlab® script with the addition of sample files. ©2019 John Wiley & Sons, Ltd. ©2020 John Wiley & Sons, Ltd.

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Geomorphic effectiveness of check dams in a debris-flow catchment using multi-temporal topographic surveys

Cited by 85 publications

References 62 publications

Debris flows recorded in the Moscardo catchment (Italian Alps) between 1990 and 2019

Debris flows recorded in the Moscardo catchment (Italian Alps) between 1990 and 2019

Exploring the Impact of Multitemporal DEM Data on the Susceptibility Mapping of Landslides

Can inpainting improve digital terrain analysis? Comparing techniques for void filling, surface reconstruction and geomorphometric analyses

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