Filters








2,249 Hits in 11.3 sec

Physically-based landslide prediction over a large region: Scaling low-resolution hydrological model results for high-resolution slope stability assessment

Sheng Wang, Ke Zhang, Ludovicus P.H. van Beek, Xin Tian, Thom A. Bogaard
2019 Environmental Modelling & Software  
Acknowledgement The first author is grateful to PhD candidate Changrang Zhou for her inspiring idea about algorithm coding. This study is supported by the National Key  ...  Conclusions This study aims to predict landslides in a very large region by coupling a low-resolution hydrological model with a high-resolution slope stability model.  ...  In order to apply physically-based models in landslide prediction with high resolution, some computational expediency is needed in large basins.  ... 
doi:10.1016/j.envsoft.2019.104607 fatcat:4a4ihvvo5zhnpnrguns5byse5u

Application of a physically based model to forecast shallow landslides at a regional scale

Teresa Salvatici, Veronica Tofani, Guglielmo Rossi, Michele D'Ambrosio, Carlo Tacconi Stefanelli, Elena Benedetta Masi, Ascanio Rosi, Veronica Pazzi, Pietro Vannocci, Miriana Petrolo, Filippo Catani, Sara Ratto (+2 others)
2018 Natural Hazards and Earth System Sciences  
</strong> In this work, we apply a physically based model, namely the HIRESSS (HIgh REsolution Slope Stability Simulator) model, to forecast the occurrence of shallow landslides at the regional scale.  ...  HIRESSS is a physically based distributed slope stability simulator for analyzing shallow landslide triggering conditions during a rainfall event.  ...  In this work, we apply a physically based model, namely the HIRESSS (HIgh REsolution Slope Stability Simulator) model, to forecast the occurrence of shallow landslides at the regional scale.  ... 
doi:10.5194/nhess-18-1919-2018 fatcat:ybzuowfrpvf2vb3yxwfqwhoyma

Machine Learning: New Potential for Local and Regional Deep-Seated Landslide Nowcasting

Adriaan L. van Natijne, Roderik C. Lindenbergh, Thom A. Bogaard
2020 Sensors  
Nowcasting and early warning systems for landslide hazards have been implemented mostly at the slope or catchment scale.  ...  These systems are often difficult to implement at regional scale or in remote areas.  ...  The assessment is either qualitative-such as low, moderate, or high hazard-or a quantitative output, such as deformation rate.  ... 
doi:10.3390/s20051425 pmid:32151069 pmcid:PMC7085549 fatcat:rqizvjduknduzojyswazmdtjxy

Regional Water Security in the Hindu Kush Himalayan Region: Role of Geospatial Science and Tools

S. M. Wahid, A. B. Shrestha, M. S. R. Murthy, M. Matin, J. Zhang, O. Siddiqui
2014 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
, space based data streaming systems for dynamic hydrological modelling, and potential applications of agent based models in effective local water use management.  ...  We present here our recent experiences and results on satellite based rainfall and run off assessments, land use and land cover change and erosion dynamics, multi thematic water vulnerability assessments  ...  Susceptibility model can be built to assess the stability of slopes and landslides prone areas.  ... 
doi:10.5194/isprsarchives-xl-8-1331-2014 fatcat:tbtvycv32rhbrkyykqqusvqhsu

Evaluation of TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis)'s predictive skill for hurricane-triggered landslides: a case study in Macon County, North Carolina

Zonghu Liao, Yang Hong, Dalia Kirschbaum, Robert F. Adler, Jonathan J. Gourley, Rick Wooten
2010 Natural Hazards  
TRIGRS (transient rainfall infiltration and grid-based regional slope-stability analysis) is a USGS landslide prediction model, coded in Fortran, that accounts for the influences of hydrology, topography  ...  The key to advancing the predictability of rainfall-triggered landslides is to use physically based slope-stability models that simulate the transient dynamical response of the subsurface moisture to spatiotemporal  ...  Financial support for the first author is from NASA Headquarter Applied Science Program and from Remote Sensing Hydrology group at University of Oklahoma (http://hydro.ou.edu).  ... 
doi:10.1007/s11069-010-9670-y fatcat:fwhguyuajbd5ziboyrkl7nj2d4

Shallow landslide susceptibility assessment in a data-poor region of Guatemala (Comitancillo municipality)

Federico Preti, Tommaso Letterio
2015 Journal of Agricultural Engineering  
The results of the comparison show the effectiveness of the method developed to estimate input parameters for a deterministic model, in regions where physical data related to the assessment of shallow  ...  A key factor in risk-mitigation strategies is the evaluation of deterministic physical models for hazard assessment in these data-poor regions.  ...  Francesco Anichini for his support during field monitoring activities and the Italian Research Project of Relevant Interest (PRIN2010-2011), prot. 20104ALME4, National network for monitoring, modeling,  ... 
doi:10.4081/jae.2015.450 fatcat:t7poopw7ybe2jfrby2gpbfaixm

Advances in landslide nowcasting: evaluation of a global and regional modeling approach

Dalia Bach Kirschbaum, Robert Adler, Yang Hong, Sujay Kumar, Christa Peters-Lidard, Arthur Lerner-Lam
2011 Environmental Earth Sciences  
This study draws upon a prior work's recommendations to develop a new approach for considering landslide susceptibility and hazard at the regional scale.  ...  The regional algorithm scenario represents an important step forward in advancing regional and global-scale landslide hazard assessment.  ...  Geological Survey for providing the landslide inventory data used in this analysis and to Graziella Devoli, Giovanni Molina, Estuardo Lira and Gerald Wieczorek for providing lithology information within  ... 
doi:10.1007/s12665-011-0990-3 fatcat:tjwy62d5bngp3j5x2y57tmezau

A hydroclimatological approach to predicting regional landslide probability using Landlab

Ronda Strauch, Erkan Istanbulluoglu, Sai Siddhartha Nudurupati, Christina Bandaragoda, Nicole M. Gasparini, Gregory E. Tucker
2018 Earth Surface Dynamics  
The physically based model couples the infinite-slope stability model with a steady-state subsurface flow representation and operates in a digital elevation model.  ...  We demonstrate the model in a steep mountainous region in northern Washington, USA, over 2700<span class="thinspace"></span>km<sup>2</sup>.  ...  of Hydrologic Science, Inc.  ... 
doi:10.5194/esurf-6-49-2018 fatcat:qk6exhw5qbfe7ifdcjuv7mgxwm

The Rwenzori Mountains, a landslide-prone region?

Liesbet Jacobs, Olivier Dewitte, Jean Poesen, Damien Delvaux, Wim Thiery, Matthieu Kervyn
2015 Landslides. Journal of the International Consortium on Landslides  
In order to address these questions, a first landslide inventory based on archive information is built for the Rwenzori Mountains.  ...  Whether or not this region is prone to landsliding and more generally whether global landslide inventories and hazard assessments are accurate in data-poor regions such as the East African highlands are  ...  Pablo Grosse for the help provided in the topographic analysis. We thank three anonymous reviewers for their constructive comments and suggestions.  ... 
doi:10.1007/s10346-015-0582-5 fatcat:aph75fvd65hbrfxchidz6be46y

Assessment of Regional Shallow Landslide Stability Based on Airborne Laser Scanning Data in the Yingxiu Area of Sichuan Province (China)

Chun Liu, Min Hu, Ping Lu, Weiyue Li, Marco Scaioni, Hangbin Wu, Yu Huang, Bin Ye
2016 European Journal of Remote Sensing  
Although with these uncertainties, using ALS data and its derived high precision DEM, the physically-based SINMAP model is expected to provide a solid basis for further landslide susceptibility mapping  ...  Airborne Laser Scanning (ALS) data were acquired to derive a Digital Elevation Model (DEM) with sufficient accuracy and resolution, as an input for the regional landslide stability analysis.  ...  Basic Research Program of China (Project No.2013CB733204 and No.2013CB733203), the National Natural Science Foundation of China (Project No. 41371333 and No. 41671413), the Fundamental Research Funds for  ... 
doi:10.5721/eujrs20164944 fatcat:efrqbkn3cfcmrm7kr6z66cxes4

Multi-scale Robust Modelling of Landslide Susceptibility: Regional Rapid Assessment and Catchment Robust Fuzzy Ensemble [chapter]

Claudio Bosco, Daniele de Rigo, Tom Dijkstra, Graham Sander, Janusz Wasowski
2013 IFIP Advances in Information and Communication Technology  
Applying landslide susceptibility models at a regional scale, in order for the slope stability changes to be rapidly assessed in burnt areas, is a challenging task.  ...  The theoretical basis of SINMAP involves a mechanistic infinite slope stability model linked with a topographically based steady-state hydrology model.  ... 
doi:10.1007/978-3-642-41151-9_31 fatcat:xjzc6hm7mrajrd3ccq4qdojrje

A hydro-climatological approach to predicting regional landslide probability using Landlab

Ronda Strauch, Erkan Istanbulluoglu, Sai Siddhartha Nudurupati, Christina Bandaragoda, Nicole M. Gasparini, Gregory E. Tucker
2017 Earth Surface Dynamics Discussions  
The physically-based model couples the infinite slope stability model with a steady-state subsurface flow representation and operates on a digital elevation model.  ...  We demonstrate the model in a steep mountainous region in northern Washington, U.S.A., using 30-m grid resolution over 2,700&amp;thinsp;km<sup>2</sup>.  ...  of Hydrologic Science, Inc.  ... 
doi:10.5194/esurf-2017-39 fatcat:wjgqw4muxrhhditqob7e2mhgjy

Rainfall Induced Landslide Studies in Indian Himalayan Region: A Critical Review

Abhirup Dikshit, Raju Sarkar, Biswajeet Pradhan, Samuele Segoni, Abdullah M. Alamri
2020 Applied Sciences  
A review of landslides studies conducted in this region is therefore important to provide a general picture of the state-of-the-art, a reference point for researchers and practitioners working in this  ...  region for the first time, and a summary of the improvements most urgently needed to better address landslide hazard research and management.  ...  Physical models assess the relationship between rainfall conditions and hydrological conditions of the soil, which affects slope stability.  ... 
doi:10.3390/app10072466 fatcat:ulwvnxcdlzhh3njxtdqed6giva

Towards a real-time susceptibility assessment of rainfall-induced shallow landslides on a regional scale

L. Montrasio, R. Valentino, G. L. Losi
2011 Natural Hazards and Earth System Sciences  
This paper deals with the application, on a regional scale, of two physically-based stability models: SLIP (Shallow Landslides Instability Prediction) and TRIGRS (Transient Rainfall Infiltration and Grid-based  ...  Results of the SLIP model on a regional scale, over a one year time interval, are finally presented.  ...  The authors would also like to thank Paola Reichenbach, Apiniti Jotisankasa and the other anonymous reviewer for their valuable comments. Edited by: P. Reichenbach Reviewed by: A. Jotisankasa and R.  ... 
doi:10.5194/nhess-11-1927-2011 fatcat:fxqfvtqxfvezbl47ljsdr4n5ze

Regional Landslide Hazard Assessment Using Extreme Value Analysis and a Probabilistic Physically Based Approach

Hyuck-Jin Park, Kang-Min Kim, In-Tak Hwang, Jung-Hyun Lee
2022 Sustainability  
Therefore, a physically based approach with probabilistic analysis was adopted here to estimate the spatial distribution of landslide probability.  ...  rather than the slope failure process.  ...  This was used in conjunction with a grid-based regional slope stability model (Transient Rainfall Infiltration and Grid-Based Regional Slope-Stability Model, TRIGRS) [68] , which estimates shallow landslide  ... 
doi:10.3390/su14052628 fatcat:6grppabi3fdmbi6kafqwxyogp4
« Previous Showing results 1 — 15 out of 2,249 results