A comparison landslide susceptibility assessment ... - Meeting Organizer
Recommend Documents
and Earth. System Sciences. Landslide susceptibility assessment considering landslide typology. A case study in the area north of Lisbon (Portugal). J. L. Zêzere.
Background: Indonesia is one of the most earthquake prone countries in the world. More than .... manual, coseismic landslide assessment is classified into ...... geografis untuk kajian geomorfologi studi kasus di sebagian Daerah Istimewa.
5 days ago - namely decision tree (DT), support vector machines (SVM), Back Propagation neural network. (BPNN), and Long Short Term Memory (LSTM) ...
is determined based on entropy (Yufeng and Fengxiang 2009). ...... Chen W, Pourghasemi HR, Panahi M, Kornejady A, Wang J, Xie X, Cao S (2017e) Spatial ...
Landslide hazard in Bukavu (DR Congo): a geomorphological assessment ... Elise Monsieurs (1,7,8), Espoir Mugisho Birhenjira (2), Jean-Robert Nshokano (9),.
per Parish, St John parish has the largest percentage of buildings located in ...... in 1991 in the village of Cotton Bailey parish of St. John when a large boulder.
Nov 30, 2016 - Conditional Analysis and Rare Events Logistics. Regression: A ... events. The predictive ability obtained from the two methodologies, was eva-.
In this control area, three main elements at risN, namely the main road SS18, the railway and the SNAM plant, are located. It can be noticed that the runout zone ...
Nov 28, 2017 - central Yellow River valley, and is 100â300 m thick (Liu 1985). ...... approach: a case study in the Cuyahoga Valley National Park, Ohio.
Apr 11, 2011 - A GIS-based multivariate statistical analysis for shallow landslide susceptibility mapping in La. Pobla de Lillet Area (Eastern Pyrenees, Spain).
Abstract. This research is focused on developing landslide susceptibility, risk and management zonation map in the Ilam dam basin, in the west of Iran. For.
Aug 27, 2015 - The fieldwork was carried out with help of local representatives, who ..... As the assessment was originally planned as a desk study, only limited time was ... (http://odm.gov.dm/index.php/resources/major-events-affecting-.
susceptibility assessment from different area around the world, ... historical and recent times. ..... unit, moon shaped super unit: two long (K-feldspar granite).
Landslide monitoring and early warning systems in Lower Austria - ... costly, monitoring systems have been installed. However, these ... on an external server.
(1) Everglades Wetland Research Park, Florida Gulf Coast University, Naples, Florida, United States, (2) Corporación. Universitaria Lasallista, Bogota, Colombia ...
University of Transport Technology ... Uttarakhand Himalaya has been selected as a case study to ... as dense forest, open-forest, non-forest, and scrub land.
Postolonnec Formation in the Armorican Massif (France): integrating. pXRF ... Rennes, France, (4) Department of Geology, Ghent University, Ghent, Belgium.
comparison of Ruwertal (Germany) with the Montes de Málaga (Spain). Jesús Rodrigo Comino (1), José Damián Ruiz Sinoga (2), José María Senciales ...
(Sidi Daoui, Ben Guerrir). The phosphate oxygen isotopic compositions of shark
teeth display large range across the entire series (18.5–22.4. %¸) which can ...
Carla S.S. Ferreira (1,2), Rory P.D. Walsh (3), Richard A. Shakesby (3), Tammo S. Steenhuis (4), António J.D.. Ferreira (2), and Celeste O.A. Coelho (1).
area (Northern Portugal). Tiago Cerejo (1), Jose Francisco Santos (1), Joao Carlos Sousa (2), Nuno Castanho (2), Gabriel Sergio (2), and. Sara Ribeiro (1).
Ekaterina Rets (1), Martina Barandun (2), Egor Belozerov (3), Dmitry Petrakov (3), and Alena Shpuntova (3). (1) Water Problems Institute Russian Academy of ...
A comparison landslide susceptibility assessment ... - Meeting Organizer
watershed, Romania. Radu Irimia (1) and Ionut Cosmin Sandric (1,2). (1) University of Bucharest, Faculty of Geography, Romania, (2) Esri Romania, Bucharest, ...
A comparison landslide susceptibility assessment methods in the Luncavat watershed, Romania Radu Irimia (1) and Ionut Cosmin Sandric (1,2) (1) University of Bucharest, Faculty of Geography, Romania, (2) Esri Romania, Bucharest, Romania
This paper uses quantitative approaches to generate a landslide susceptibility maps (LSM) for the Luncav˘at, watershed, located in the Getic Subcarpathians, Romania. The purpose of this study is to evaluate and to compare the results of multivariate and bivariate landslide susceptibility methods. For this study it was decided to use only three predictor factors: slope gradient, lithology and a land-use/land-cover. The study area spreads over approximate 300 km2. This area is highly affected by mass movements, over 65% of the area is moderately or highly susceptible to landslides. Bivariate and multivariate statistical analyses were applied to calculate a landslide susceptibility index. It was found that the results from all the methods converge for aproximate 75% of the Luncavat watershed. However, the bivariate method had some severe deficiencies and parts of the high and medium landslides susceptibility classess did not overlapped with the actual landslide inventory map. The result of the multivariate technique was more sensitive to the different local features of the test zone and it resulted in more accurate and homogeneous susceptibility maps. It is anticipated that the result of this work can be used by local authorithies to help identify high risk landslide areas, and those that are safe for building and other human activities
