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  • 1
    Keywords: Natural disasters. ; Environmental management. ; Environmental policy. ; Natural Hazards. ; Environmental Management. ; Environmental Policy.
    Description / Table of Contents: Kyenotes: Landslide Recognition and Mapping for Slope Disaster Risk Reduction and Management - Keynote Speech -- Landslide susceptibility mapping by interpretation of aerial photographs, AHP and precise DEM -- Landslide recognition and mapping: New landslide inventory map of the Sudetes Mountains (south-western Poland) -- Gullies as landforms for landslide initiation – examples from the Dubračina River Basin (Croatia) -- Opportunities and challenges of the object-oriented automatic landslide detection from the high resolution Digital Elevation Model -- Can Repeat LiDAR Surveys Locate Future Massive Landslides? -- Semi-automatic Landslide Inventory Mapping with Multiresolution Segmentation Process: A Case Study from Ulus District (Bartin, NW Turkey) -- Landslide mapping based on UAV and SfM – Case study of the 2018 Prnjavor Čuntićki landslide, Croatia -- Developing recognition and simple mapping by UAV/SfM for local resident in mountainous area in Vietnam – A case study in Po Xi Ngai Community, Laocai province -- Landslide activity classification based on Sentinel-1 satellite radar interferometry data -- Updating Landslide Activity State and Intensity by Means of Persistent Scatterer Interferometry -- Damming predisposition of river networks: a mapping methodology -- Landslides along Halong-Vandon Expressway in Quang Ninh province, Vietnam -- Landslide hazard assessment and zonation – susceptibility modelling: New data on geological conditions of landslide activity on Vorobyovy Gory (Moscow, Russia) -- Impact of agricultural management in vineyards to landslides susceptibility in Italian Apennines -- Landslide susceptibility in two secondary rivers of La Ciénega watershed, Nevado de Toluca volcano, Mexico -- An Ordinal Scale Weighting Approach for Susceptibility Mapping Around Tehri Dam, Uttarakhand, India -- Potential Analysis of Deep-seated Landslides Caused by Typhoon Morakot Using Slope Unit -- Landslide susceptibility assessment using binary logistic regression in northern Philippines Landslide Hazard Mapping of Penang Island Malaysia based on Multilayer Perceptron Approach -- Landslide Susceptibility Mapping Based on the Deep Belief Network: A Case Study in Sichuan Province, China -- A Comparative study of deep learning and conventional neural network forevaluating landslide susceptibility using landslide initiation zones -- Landslide susceptibility assessment by ensemble-based Machine Learning models -- Application of Machine Learning Algorithms and Their Ensemble for Landslide Susceptibility Mapping -- Overcoming data scarcity related issues for landslide susceptibility modeling with machine learning -- Practical accounting of uncertainties in data-driven landslide susceptibility models. Examples from the Lanzhou case study -- Assessment of shallow landslides susceptibility using SHALSTAB and SINMAP at Serra do Mar, Brazil -- Regional slope stability analysis in landslide hazard assessment context, North Macedonia example -- Applying the Newmark model in the assessment of earthquake triggered landslides during the 2017 Ms 7.0 Jiuzhaigou earthquake, China -- Evaluation of secondary landslide susceptibility for the rescue activity using LiDAR UAV data -- Methodology for landslides assessment causing river channel obstructions and the consequent water shortage in rural communities -- Landslide hazard assessment and zonation – temporal and size modelling: Landslide Size Distribution Characteristics of Cretaceous and Eocene Flysch Assemblages in the Western Black Sea Region of Turkey -- A statistical exploratory analysis of inventoried slide-type movements for South Tyrol (Italy) -- Assessing landslide volume for landform hazard zoning purposes -- Empirical relationships to estimate the probability of runout exceedance for various landslide types -- Rapid sensitivity analysis for reducing uncertainty in landslide hazard assessment -- Applying debris flow simulation for detailed hazard and risk mapping -- Debris-Flow Peak Discharge Calculation Model Based on Erosion Zoning -- Assessment of rainfall-induced landslides in Tomioka city, Gunma Prefecture, Japan (Oct 2019) based on a simple prediction model and assumption parameters -- Rainfall-induced lahar occurrences shortly after eruptions and its initiation processes in Japan -- Spatiotemporal Assessment of Geological Hazard Safety along Railway Engineering using a Novel Method: A Case Study of the Sichuan-Tibet Railway, China -- Slope Stability and Landslide Hazard in Volubilis Archaeological Site (Morocco) -- Landslide data and information for disaster mitigation: Slope Hazard and Risk Mapping Project (PBRC) – An Overview of Disaster Risk Reduction Initiative -- Risk-informed Land Use Planning for Landslide Disaster Risk Reduction -- Landslides in steep-slope agricultural landscapes -- From satellite images to field survey: a complete scheme of lanslide InSAR monitoring -- Slope disaster risk reduction map as a communication tool for community based DRR in Japan & Vietnam -- Landslide vulnerability of people, communities and the built environment: People vulnerability to landslide: risky behaviours and dangerous conditions by gender and age -- Using mixed-methods to understand community vulnerability to debris flows in Montecito, CA -- Innovation in analysis and forecasting of vulnerability to slow-moving landslides -- Sentinel-1 PSI data for the evaluation of landslide geohazard and impact -- On the use of UAVs for landslide exposure of households: La Gloria neighbourhood, Teziutlán, Puebla -- Ordinal Logistic Regression to automatic classify shallow landslide risk level in Sao Paulo city, Brazil -- Site-specific risk assessment of buildings exposed to rock fall in India- A case study -- Cutting-edge technologies aiming for better outcomes of landslide disaster mitigation.
    Abstract: This book is a part of ICL new book series “ICL Contribution to Landslide Disaster Risk Reduction” founded in 2019. Peer-reviewed papers submitted to the Fifth World Landslide Forum were published in six volumes of this book series. This book contains the followings: • Keynotes • Landslide detection, recognition and mapping • Landslide susceptibility assessment and modelling • Landslide size statistics and temporal modelling • Data and information for landslide disaster mitigation • Vulnerability to landslides of people, communities and the built environment Dr. Fausto Guzzetti is General Director of Office III – Technical and Scientific Activities for Risk Forecasting and Prevention, Department of Civil Protection, Italian Presidency of the Council of Ministers, on leave from the Italian National Research Council. Prof. Snježana Mihalić Arbanas is a Full Professor of the Faculty of Mining, Geology and Petroleum Engineering of the University of Zagreb, Croatia. She is the Chair of ICL Network Committee. Paola Reichenbach is a Senior Researcher of the Research Institute for Geo-Hydrological Protection, an institute of the Italian National Research Council (IRPI-CNR), Perugia, Italy. Prof. Kyoji Sassa is the Founding President and the Secretary-General of the International Consortium on Landslides (ICL). He has been the Editor-in-Chief of International Journal Landslides since its foundation in 2004. Prof. Peter Bobrowsky is the President of the International Consortium on Landslides. He is a Senior Scientist of Geological Survey of Canada, Ottawa, Canada. Prof. Kaoru Takara is the Executive Director of the International Consortium on Landslides. He is a Professor and Dean of Graduate School of Advanced Integrated Studies (GSAIS) in Human Survivability (Shishu-Kan), Kyoto University.
    Type of Medium: Online Resource
    Pages: XXIX, 505 p. 417 illus., 385 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030602277
    Series Statement: ICL Contribution to Landslide Disaster Risk Reduction,
    DDC: 551
    Language: English
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  • 2
    Call number: 8/M 96.0086
    In: Advances in natural and technological hazards research
    Type of Medium: Monograph available for loan
    Pages: xii, 353 S.
    ISBN: 0792335023
    Series Statement: Advances in natural and technological hazards research 5
    Classification:
    C.2.8.
    Language: English
    Location: Reading room
    Branch Library: GFZ Library
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  • 3
    Electronic Resource
    Electronic Resource
    Oxford, UK : Blackwell Publishing Ltd
    Terra nova 3 (1991), S. 0 
    ISSN: 1365-3121
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Geosciences
    Notes: The results of a research project on the extent of debris-flow processes in the Monti Sibillini area (Central Italy) are presented. Debris flows have greatly contributed in shaping the landscape of the Monti Sibillini territory. Based on the dominant active process they can be subdivided into three sections: a source area, a transport area and a depositional area. Four environments can be identified as source areas: landslide deposits, highly fractured rocks, scree or talus deposits, and glacial deposits. The evolution of some of the largest features present in the area is examined. These may have developed from an initial stage of mostly gully erosion and minor landsliding, through an intermediate stage characterized by extensive mass-movement, to a final stage dominated by fluvial processes. Lastly, generalizations on the debris-flow hazard in the study area are made.
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Environmental management 18 (1994), S. 623-633 
    ISSN: 1432-1009
    Keywords: Landslide ; Flood ; Inventory ; Data base ; Italy
    Source: Springer Online Journal Archives 1860-2000
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Notes: Abstract The AVI project was commissioned by the Minister of Civil Protection to the National Group for Prevention of Hydrogeologic Hazards to complete an inventory of areas historically affected by landslides and floods in Italy. More than 300 people, divided into 15 research teams and two support groups, worked for one year on the project. Twenty-two journals were systematically searched for the period 1918–1990, 350,000 newspaper issues were screened, and 39,953 articles were collected. About 150 experts on mass movement and floods were interviewed and 1482 published and unpublished technical and scientific reports were reviewed. The results of the AVI project, in spite of the limitations, represent the most comprehensive archiving of mass movement and floods ever prepared in Italy. The type and quality of the information collected and the methodologies and techniques used to make the inventory are discussed. Possible applications and future developments are also presented.
    Type of Medium: Electronic Resource
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  • 5
    Publication Date: 2007-10-08
    Description: Large numbers of landslides can be associated with a trigger, for example, an earthquake or a large storm. We have previously hypothesized that the frequency--area statistics of landslides triggered in an event are well approximated by a three-parameter inverse-gamma distribution, irrespective of the trigger type. The use of this general distribution was established using three substantially complete and well-documented landslide event inventories: 11,000 landslides triggered by the Northridge California Earthquake, 4000 landslides triggered by rapidly melting snow cover in the Umbria region of Italy, and 9000 landslides triggered by heavy rainfall associated with Hurricane Mitch in Guatemala. In this paper, we examine further this general landslide distribution by using an inventory of 165 landslides triggered by heavy rainfall in the region of Todi, Central Italy. Our previous studies have shown the applicability of our general landslide distribution to events with 4000-11,000 landslides. This smaller inventory provides a critical step in examining the applicability of the general landslide distribution. We find very good agreement of the Todi event with our general distribution. This also provides support for our further hypothesis that the mean area of landslides triggered by an event is approximately independent of the event size.
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  • 6
  • 7
    Publication Date: 2009-01-13
    Print ISSN: 1384-6175
    Electronic ISSN: 1573-7624
    Topics: Geography
    Published by Springer
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  • 8
    Publication Date: 2020-05-15
    Description: The 2016 Central Italy seismic sequence was characterized by two main events: 24 August, Mw 6, and 30 October, Mw 6.5. We carried out high-resolution field sampling and DInSAR analysis of the coseismic and intra-sequence ground deformations along the Mt Vettore-Mt Bove causative fault (VBF). We found that during the intra-sequence period (24 August–30 October), the ground experienced some deformations whose final patterns seemed to be retraced and amplified by the following mainshock. We interpreted that (i) immediately after the 24 August earthquake, the deformation observed in the southern VBF expanded northwards and westwards over a Length of Deforming Ground (LDG) ranging between 28.7 and 36.3 km, and (ii) it extended to the whole portion of the hanging wall that was later affected by mainshock coseismic deformation. Assuming the LDG to be an indicator for an expected (=coseismic) surface rupture length and using known scaling functions, we obtained 6.4 ≤ Mw ≤ 6.7 for a possible incoming earthquake, which is consistent with the mainshock magnitude. We suggest that the evolution of the ground deformations after a significant seismic event might provide insights on the occurrence of new earthquakes with magnitudes comparable to or larger than the former.
    Electronic ISSN: 2076-3263
    Topics: Geosciences
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  • 9
    Publication Date: 2020-04-01
    Print ISSN: 0013-7952
    Electronic ISSN: 1872-6917
    Topics: Geosciences
    Published by Elsevier
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  • 10
    Publication Date: 1994-07-01
    Print ISSN: 0364-152X
    Electronic ISSN: 1432-1009
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering
    Published by Springer
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