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2015 GSA Annual Meeting in Baltimore, Maryland, USA (1-4 November 2015)

Paper No. 86-11
Presentation Time: 11:00 AM

LANDSLIDE DATABASE IN THE LOWER SECTION OF THE BASIN OF DEBA RIVER IN GUIPUZCUA, SPAIN: A TOOL FOR THE DEVELOPMENT OF HAZARD AND RISK SCENARIOS


SÁNCHEZ-ESPESO, Javier M. Sánchez Espeso1, REMONDO, Juan Remondo Tejerina2, BONAECHEA, Jaime Bonaechea Pico2, BRUSCHI, Viola Bruschi2, GONZÁLEZ-DÍEZ, Alberto González Díez2 and RIVAS, Maria Rivas Mantecon3, (1)Geographical Engineering and Techniques of Graphic Expression, University of Cantabria, School of Civil Engineering, Avda Los Castros s/n, Santander, 39006, Spain, (2)Department of Earth Sciences, University of Cantabria, Santander, Spain, (3)Department of Geography, Urban and spatial planning, University of Cantabria, Santander, Spain, javier.sanchez@unican.es

With the aim of making better predictions in the future to reduce the risk due to landslides, researchers try to design different hazards and risk scenarios, on the hypothesis that it is possible to conceive those scenarios with a detailed knowledge about landslides occurred in the recent past, their causes and consequences.

To build these models and risk scenarios in the lower basin of the Deba in Guipuzcoa, Spain, it has been designed a database with principal landslides recorded in the last 56 years, mainly shallow slides and flows.

It has been stored not only core attributes (location, time, triggering factors) and related documentation (historical data, scientific publications, agency archives), but also different basic data of geospatial type (images, geology, lithology, vegetation, weather data, MDE , faults, and other data). From these data we proceeded to obtain for the study area different possible causative factors (temperature, precipitation, soil, geology, lithology, ...), including its variation over time.

Currently this information is being managed using a commercial database of fileGeodatabase type with ArcGis. The recovery for analysis of possible causative factors by researchers can take place either from an Intranet, using different computing environments, both GIS (ArcGIS) like statistical (R); or using standard GIS services over the Internet for obtaining maps (WMS, WCS) or spatial entities (WFS).

In this paper, the design criteria for the geodatabase are described first. Then the focus is on obtaining the causative factors from the available spatial data. Different basic analysis are also presented. It concludes with a discussion of the strengths and weaknesses of using databases to analyze this information.

Handouts
  • gsa2015_sanchezJavier_end.pdf (6.8 MB)

    • Session No. 86

    T56. Landslide Inventories and Time Series: Data Collection, Statistics, Geospatial Analysis, and Relationships to Other Geohazards
    Monday, 2 November 2015: 8:00 AM-12:00 PM
    Room 307 (Baltimore Convention Center)
    Geological Society of America Abstracts with Programs. Vol. 47, No. 7, p.250
    © Copyright 2015 The Geological Society of America (GSA), all rights reserved. Permission is hereby granted to the author(s) of this abstract to reproduce and distribute it freely, for noncommercial purposes. Permission is hereby granted to any individual scientist to download a single copy of this electronic file and reproduce up to 20 paper copies for noncommercial purposes advancing science and education, including classroom use, providing all reproductions include the complete content shown here, including the author information. All other forms of reproduction and/or transmittal are prohibited without written permission from GSA Copyright Permissions.
    Back to: T56. Landslide Inventories and Time Series: Data Collection, Statistics, Geospatial Analysis, and Relationships to Other Geohazards
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