Mechanism, Modeling and Forecasting of Landslide Displacements(FOLADIS)

2013-1-3
Landslides cause significant damage and loss of life throughout the world. There is an increase in landslide activity as a result of continued deforestation, increased construction in landslide-prone areas, and increased regional precipitation by changing climate patterns, which is a primary trigger for landslides. One of the four priorities areas in FP7 have been identified as triggering factors and forecasting, and mitigation strategies for natural hazards. The overall goal of this research is to reduce damage caused by landslides, by increasing our understanding of the mechanism of slow-moving landslides. The specific objectives are: (1) to identify the triggering factors and failure mechanisms in landslides composed mainly of (or dominated by) cohesive soils, (2) to investigate application of numerical models in slope displacement analyses and calibration of model parameters by observed deformations in well-documented case histories. (3) to establish threshold slope displacement rates that can be used in setting up alarm levels and early warning, and to improve forecasting methods that would help predict the failure time, (4) to transfer the knowledge to end-users by preparing handbooks/guidelines and training courses. The proposed research will generate (a) a large database of well-documented landslide case histories and correlations to predict certain type of movements from slopes with certain properties (material type, slope angle, etc.), (b) a numerical methodology for the evaluation of slope stability and slope deformations including validation and calibration of model parameters with the measured deformations, (c) enhanced forecasting tools for failure time prediction in landslides, (d) the range of values of threshold displacement rates for different degrees of alert levels that can be used by decision makers, (e) guidelines and manuals covering all aspects.

Suggestions

Comparison of Human Response Against Earthquake and Tsunami
Arıkawa, Taro; Güler, Hasan Gökhan; Yalçıner, Ahmet Cevdet (2017-12-01)
The evacuation response against the earthquake and tsunamis is very important for the reduction of human damages against tsunami. But it is very difficult to predict the human behavior after shaking of the earthquake. The purpose of this research is to clarify the difference of the human response after the earthquake shock in the difference countries and to consider the relation between the response and the safety feeling, knowledge and education. For the objective of this paper, the questionnaire survey wa...
Advancement of Satellite Rainfall Applications for Hydrologic Modeling with Emphasis on Flood Monitoring (FLOODSAT)
Yılmaz, Koray Kamil(2014-3-31)
"Floods are the most widespread and frequent natural disaster responsible for significant loss of lives and property each year. The European Environmental Agency estimated that floods in Europe between 1998 and 2002 caused about 700 deaths, the displacement of about half a million people and at least 25 billion Euros in insured economic losses. As such, one of the four priority areas in FP7 has been identified as triggering factors and forecasting and mitigation strategies for natural hazards. Flood early ...
Pre-Positioning Disaster Response Facilities and Relief Items
RENKLİ, Cigdem; Duran, Serhan (2015-07-04)
Large-scale disasters cause enormous damage to people living in the affected areas. Providing relief quickly to the affected is a critical issue in recovering the effects of a disaster. Pre-disaster planning has an important role on reducing the arrival time of relief items to the affected areas and efficiently allocating them. In this study, a mixed integer programming model is proposed in order to pre-position warehouses throughout a potential affected area and determine the amount of relief items to be h...
Analysis of the 2007 and 2013 Droughts in Turkey by NOAH Hydrological Model
Bulut, Burak; Yılmaz, Mustafa Tuğrul (2016-10-01)
Analysis of drought, which is classified as a natural disaster, is globally considering the damage it gives. As a result detection of its characteristics is essential for understanding and reducing the effects of this natural disaster and for imminent prediction. In this study, soil moisture estimates obtained from NOAH hydrological model and normalized difference vegetation index obtained from MODIS observations are used to analysis the recent droughts in Turkey. With the utilization of these parameters th...
Rainfall-triggered landslides in an unsaturated soil: a laboratory flume study
Ahmadi-Adli, Mohammad; Huvaj Sarıhan, Nejan; Toker, Nabi Kartal (2017-11-01)
Extreme and/or prolonged rainfall events frequently cause landslides in many parts of the world. In this study, infiltration of rainfall into an unsaturated soil slope and triggering of landslides is studied through laboratory model (flume) tests, with the goal of obtaining the triggering rainfall intensity-duration (I-D) threshold. Flume tests with fine sand at two different relative densities (34 and 48%) and at slope angle of 56.5 degrees are prepared, and rainfall (intensity in the range of 18 to 64 mm/...
Citation Formats
N. Huvaj Sarıhan, “Mechanism, Modeling and Forecasting of Landslide Displacements(FOLADIS),” 2013. Accessed: 00, 2020. [Online]. Available: https://cordis.europa.eu/project/id/249186.