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A Data Based Model to Predict Landslide Induced by Rainfall in Rio de Janeiro City
Entry ID: tsinghua_teen_model_landslide_rainfall1


Summary
Abstract: Landslide prediction is complex and involves many factors, such as geotechnical, geological, topographical, and even meteorological. This work presents a methodology by using a Data Mining approach in order to predict landslide occurrences induced by rainfall in Rio de Janeiro city. Landslide and rain data records from 1998 to 2001 were obtained from field technical reports and 30 automatic rain ... View entire text
Service Citation
Originators: Fábio T. de Souza, Nelson. F. F. Ebecken
Title: A Data Based Model to Predict Landslide Induced by Rainfall in Rio de Janeiro City
Release_Date: 2012-02-01
Provider: Postgraduate Program in Urban Management, Pontifical Catholic University of Parana (PUCPR)
Edition: 1.0
URL: http://link.springer.com/article/10.1007/s10706-011-9451-8
Service Keywords
MODELS >LAND SURFACE MODELS Parameter Definition
HAZARDS MANAGEMENT >HAZARDS PLANNING Parameter Definition

Instrument
RAIN GAUGES Ancillary Description
Personnel
Role: TECHNICAL CONTACT
Role: SERF AUTHOR
Email: fabiocoppe at yahoo.com.br
Email: fabio.teodoro at pucpr.br
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Extended Metadata Properties
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Creation and Review Dates
SERF Creation Date: 2015-09-02
SERF Last Revision Date: 2015-09-10


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