Abstract

It is common sense that the possibility of a rockfall increases after an intense rainfall and it is well documented that rainfalls accelerate earth surface displacements such as landslides and rockfalls. This qualitative correlation is highly affected by the geology and climate condition of the area under consideration. The research project entitled "Development of an integrated system for rockfall identification in highways", funded by the Operational Program Competitiveness and Entrepreneurship (co-funded by the European Regional Development Fund (ERDF)) aims to develop an operational system for early warning of rockfalls that occur along transportation corridors. To accomplish this goal the influence and the time gap between triggering mechanisms and rockfall incidents is investigated. In this work, previous studies towards quantitative correlation of rainfall magnitude and earth surface displacements are briefly presented. Based on these works, and taking into account that rockfall incidents, in the majority of Mediterranean countries, are not well-documented, data obtained by a slope stability monitoring network are used to quantitatively determine the magnitude of the rainfall that caused the slope's movement.

Document Type

Article

Publication Date

6-19-2015

Notes/Citation Information

Published in Proceedings of SPIE, v. 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), article 95350M, p. 95350M-1 through 95350M-10.

Copyright 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

Chrysanthos Steiakakis, Zacharias Agioutantis, Evangelia Apostolou, Georgia Papavgeri and Achilleas Tripolitsiotis, "Quantitative correlation of rainfall and earth surface displacements for slope stability studies", Proceedings of SPIE 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2015), 95350M (June 19, 2015).

http://dx.doi.org/10.1117/12.2193463

Digital Object Identifier (DOI)

http://dx.doi.org/10.1117/12.2193463

Funding Information

This work has been performed under the framework of the "Cooperation 2011" project ISTRIA (11_SYN_9_1389) funded from the Operational Program "Competitiveness and Entrepreneurship" (co-funded by the European Regional Development Fund)) and managed by the Greek General Secretariat for Research and Technology.

Share

COinS