Environmental Data Observation System—Solam for Analysis and Interpretation of Soil Moisture Variation and Precipitation Indexes

作     者：Laura Vanessa Araque Lavalle Rodrigo A.Stabile Cassiano A.Bortolozo Rodolfo M.Mendes Joao V.C.Garcia Mariana F.B.Motta Marcio R.M.Andrade Tehrrie Konig Daniel Metodiev 

作者机构：National Center for Monitoring and Early Warning of Natural Disasters(CEMADEN/MCTIC)Sao Jose dos CamposBrazil 

出 版 物：《International Journal of Geosciences》 (地球科学国际期刊（英文）)

年 卷 期：2018年第9卷第11期

页      面：658-667页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

基　　金：Conselho Nacional de Desenvolvimento Cientifico e Tecnologico(CNPq)for the Research Fellowship Program(grant 300610/2017-3)-(300538/2017-0) 

主　　题：Slope Stability Geotechnical Monitoring Environmental Thresholds Urban Slopes Software Warning System 

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.