Articles | Volume 18, issue 6
https://doi.org/10.5194/nhess-18-1735-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/nhess-18-1735-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimation of the susceptibility of a road network to shallow landslides with the integration of the sediment connectivity
Massimiliano Bordoni
CORRESPONDING AUTHOR
Department of Earth and Environmental Sciences, University of Pavia,
Pavia, 27100, Italy
M. Giuseppina Persichillo
Department of Earth and Environmental Sciences, University of Pavia,
Pavia, 27100, Italy
Claudia Meisina
Department of Earth and Environmental Sciences, University of Pavia,
Pavia, 27100, Italy
Stefano Crema
Research Institute for Geo-Hydrological Protection, National Research
Council, Padova, 35127, Italy
Marco Cavalli
Research Institute for Geo-Hydrological Protection, National Research
Council, Padova, 35127, Italy
Carlotta Bartelletti
Department of Earth Sciences, University of Pisa, Pisa, 56126, Italy
Yuri Galanti
Department of Earth Sciences, University of Pisa, Pisa, 56126, Italy
Michele Barsanti
Department of Civil and Industrial Engineering, University of Pisa,
Pisa, 56126, Italy
Roberto Giannecchini
Department of Earth Sciences, University of Pisa, Pisa, 56126, Italy
Giacomo D'Amato Avanzi
Department of Earth Sciences, University of Pisa, Pisa, 56126, Italy
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- Use of UAV-based photogrammetry products for semi-automatic detection and classification of asphalt road damage in landslide-affected areas N. Nappo et al. 10.1016/j.enggeo.2021.106363
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- Source areas, connectivity, and delivery rate of sediments in mountainous-forested hillslopes: A probabilistic approach A. Cislaghi & G. Bischetti 10.1016/j.scitotenv.2018.10.318
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- Lateral sediment connectivity of landslides occurred under a heavy rainstorm and its influence on sediment yield of slope-channel cascade on the Loess Plateau X. Yan et al. 10.1016/j.catena.2022.106378
- Data‐driven modelling of joint debris flow release susceptibility and connectivity S. Steger et al. 10.1002/esp.5421
- Slope instabilities in steep cultivation systems: Process classification and opportunities from remote sensing P. Tarolli et al. 10.1002/ldr.3798
- The influence of the inventory on the determination of the rainfall-induced shallow landslides susceptibility using generalized additive models M. Bordoni et al. 10.1016/j.catena.2020.104630
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- The effects of land use and topographic changes on sediment connectivity in mountain catchments M. Llena et al. 10.1016/j.scitotenv.2018.12.479
- Landslide-inventory of the Cinque Terre National Park (Italy) and quantitative interaction with the trail network E. Raso et al. 10.1080/17445647.2019.1657511
- A near-real-time model for estimating probability of road obstruction due to earthquake-triggered landslides B. Wilson et al. 10.1177/87552930211020022
- Effect of spatial variability of earthquake ground motions on the reliability of road system P. Ering & G. Sivakumar Babu 10.1016/j.soildyn.2020.106207
- Response of Road Rill Erosion to Rainfall Types and Road Maintenances on the Loess Plateau: Implications for Road Erosion Control Q. XU et al. 10.2139/ssrn.4053366
- A Multi-Hazard Risk Assessment Model for a Road Network Based on Neural Networks and Fuzzy Comprehensive Evaluation C. Zhou et al. 10.3390/su16062429
- A Deep Learning Model for Road Damage Detection After an Earthquake Based on Synthetic Aperture Radar (SAR) and Field Datasets S. Karimzadeh et al. 10.1109/JSTARS.2022.3189875
- Sediment connectivity as a key to understand geomorphic effects of the Storm Alex in two mountain catchments of the Mediterranean Alps (Italy) F. Ardizzone et al. 10.1016/j.geomorph.2024.109176
- Assessing the stability conditions of a slope movement in Northern Italy interacting with the provincial road network A. Valletta et al. 10.1016/j.trpro.2023.11.243
- Regional assessment of coastal landslide susceptibility in Liguria, Northern Italy, using MaxEnt S. Orefice & C. Innocenti 10.1007/s11069-024-06833-5
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- National and regional-scale landslide indicators and indexes: Applications in Italy M. Donnini et al. 10.1515/geo-2022-0375
- Preface: Landslide–transport network interactions F. Taylor et al. 10.5194/nhess-20-2585-2020
- Combining Statistical, Displacement and Damage Analyses to Study Slow-Moving Landslides Interacting with Roads: Two Case Studies in Southern Italy G. Pecoraro et al. 10.3390/app13053368
- Evaluation of Rainfall-Induced Landslides triggering using a multidisciplinary approach I. Fustos et al. 10.11144/Javeriana.SC25-2.eorl
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- Challenges of mapping, modelling and quantifying sediment connectivity J. Hooke & J. Souza 10.1016/j.earscirev.2021.103847
- Modeling linkages between erosion and connectivity in an urbanizing landscape A. Michalek et al. 10.1016/j.scitotenv.2020.144255
- On the nexus between landslide susceptibility and transport infrastructure – an agent-based approach M. Schlögl et al. 10.5194/nhess-19-201-2019
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Latest update: 04 Nov 2024
Short summary
This paper aimed to develop and test a data-driven model for the identification of road sectors that are susceptible to be hit by shallow landslides triggered in slopes upstream of infrastructure. Most susceptible road traits were those located below steep slopes with a limited height (lower than 50 m), where sediment connectivity is high. The results of the susceptibility analysis can give asset managers indispensable information on the relative criticality of the different roads.
This paper aimed to develop and test a data-driven model for the identification of road sectors...
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