1. introduction generally, landslide studies include process identification, risk analysis and landslide risk prediction (taleby and ezaddoost, 2012). nowadays, there are different methods for landslide simulation such as statistical, descriptive and process-based approaches. however, most studies in iran are based on statistical and descriptive methods (taleby and ezaddoost, 2012). landslide z...

the main purpose of this study is landslide hazard assessment the ziarat watershed (golestan province) using information value and lnrf models within geographic information. at first stage, a landslide inventory map was prepared in the study area using earlier reports and aerial photographs, and a total of 50 landslides was mapped and out of which 35 (70%) were randomly selected for building la...

In this paper, we propose a methodology for validating landslide susceptibility results in the Pinggu district (Beijing, China). A landslide inventory including 169 landslides was prepared, and eight factors correlated to landslides (lithology, tectonic faults, topographic elevation, slope gradient, aspect, slope curvature, land use, and road network) were processed, integrating two techniques,...

Landslide susceptibility assessment is a fundamental component of effective landslide prevention. One of the main challenges in landslides forecasting is the assessment of spatial distribution of landslide susceptibility. Despite the many different approaches, landslide susceptibility assessment still remains a challenge. A semi-quantitative method is proposed combining heuristic, deterministic...

A landslide susceptibility analysis is performed by means of Artificial Neural Network (ANN) and Cluster Analysis (CA). This kind of analysis is aimed at using ANNs to model the complex non linear relationships between mass movements and conditioning factors for susceptibility zonation, in order to identify unstable areas. The proposed method adopts CA to improve the selection of training, vali...

In northern parts of Iran such as the Alborz Mountain belt, frequent landslides occur due to a combination of climate and geologic conditions with high tectonic activities. This results in millions of dollars of financial damages annually excluding casualties and unrecoverable resources. This paper evaluates the landslide susceptible areas in Central Alborz using the probabilistic frequency rat...

Despite a long history of landslide research in British Columbia, there remain few data on the actual change in rates of landslides following harvesting activities other than from the Queen Charlotte Islands and the Clayoquot Sound region of Vancouver Island. The application of these data to other areas in British Columbia is problematic. This paper discusses implications of the results of a st...

A project established at the National Institute of Water and Atmospheric Research (NIWA) in New Zealand is aimed at developing a prototype of a real-time landslide forecasting system. The objective is to predict temporal changes in landslide probability for shallow, rainfalltriggered landslides, based on quantitative weather forecasts from numerical weather prediction models. Global weather for...

In February 2006, a disastrous rockslide-debris avalanche occurred in tropical mountain terrain, on Leyte Island, Central Philippines. Over 1100 people perished when the village of Guinsaugon was overwhelmed directly in the path of the landslide. The landslide was initiated by the failure of a 450 m high rock slope within the damage zone of the Philippine Fault where the rock mass consisted of ...

Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Papers published in Hydrology and Earth System Sciences Discussions are under open-access review for the journal Hydrology and Earth System Sciences Abstract Introduction Conclusions References Tables Figures Back Close Full Screen / Esc Abstract The often-used success rate (SR) in measuring cell-based landslide mod...