TITLE:
Environmental Data Observation System—Solam for Analysis and Interpretation of Soil Moisture Variation and Precipitation Indexes
AUTHORS:
Laura Vanessa Araque Lavalle, Rodrigo A. Stabile, Cassiano A. Bortolozo, Rodolfo M. Mendes, João V. C. Garcia, Mariana F. B. Motta, Marcio R. M. Andrade, Téhrrie König, Daniel Metodiev
KEYWORDS:
Slope Stability, Geotechnical Monitoring, Environmental Thresholds, Urban Slopes, Software, Warning System
JOURNAL NAME:
International Journal of Geosciences,
Vol.9 No.11,
November
26,
2018
ABSTRACT: The monitoring of urban slopes employing in-situ equipment seeks
to avoid the loss of human lives midst emergency events like landslides. Cemaden (Brazilian National Centre for Monitoring and Early Warnings of Natural Disasters) has a pilot network of soil moisture and rain gauge stations located in urban slopes to understand, prevent, and mitigate landslides. Due to the large volume of data produced by this system there was a need for tools for data retrieval and visualization. This paper describes the Solam (Environmental Data Observation System) software which generates automated graphs that enable researchers to analyze and comprise data from soil moisture sensors and rain gauge stations. Those results allow to research moisture variations in six different sensor levels (from 0.5 m to 3 m deep)
and precipitation indexes (hourly and accumulated rainfall) for the established period. This analysis will provide information to set critical environmental thresholds on base recorded landslides.