文章基本信息

标题：Environmental Data Observation System—Solam for Analysis and Interpretation of Soil Moisture Variation and Precipitation Indexes
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作者：Laura Vanessa Araque Lavalle ; Rodrigo A. Stabile ; Cassiano A. Bortolozo 等
期刊名称：International Journal of Geosciences
印刷版ISSN：2156-8359
电子版ISSN：2156-8367
出版年度：2018
卷号：9
期号：11
页码：658-667
DOI：10.4236/ijg.2018.911039
语种：English
出版社：Scientific Research Pub
摘要：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.
关键词：Slope StabilityGeotechnical MonitoringEnvironmental ThresholdsUrban SlopesSoftwareWarning System