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		<identifier>8JMKD3MGPDW34P/3Q5DN2P</identifier>
		<repository>sid.inpe.br/mtc-m16c/2017/12.01.19.38</repository>
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		<issn>2179-4820</issn>
		<citationkey>CabettePereOlivPita:2017:CoSyMo</citationkey>
		<title>Computational system for monitoring and risk analysis based on TerraMA2</title>
		<format>Pendrive, On-line.</format>
		<year>2017</year>
		<secondarytype>PRE CN</secondarytype>
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		<size>2008 KiB</size>
		<author>Cabette, Ricardo Ramos,</author>
		<author>Pereira, Marconi Arruda,</author>
		<author>Oliveira, Tales Moreira,</author>
		<author>Pitanga, Heraldo Nunes,</author>
		<affiliation>Universidade Federal de São João Del Rei (UFSJ)</affiliation>
		<affiliation>Universidade Federal de São João Del Rei (UFSJ)</affiliation>
		<affiliation>Universidade Federal de São João Del Rei (UFSJ)</affiliation>
		<affiliation>Universidade Federal de Viçosa (UFV)</affiliation>
		<editor>Davis Jr., Clodoveu A. (UFMG),</editor>
		<editor>Queiroz, Gilberto R. de (INPE),</editor>
		<e-mailaddress>lubia@dpi.inpe.br</e-mailaddress>
		<conferencename>Simpósio Brasileiro de Geoinformática, 18 (GEOINFO)</conferencename>
		<conferencelocation>Salvador</conferencelocation>
		<date>04-06 dez. 2017</date>
		<publisher>Instituto Nacional de Pesquisas Espaciais (INPE)</publisher>
		<publisheraddress>São José dos Campos</publisheraddress>
		<pages>169-180</pages>
		<booktitle>Anais</booktitle>
		<tertiarytype>Full papers</tertiarytype>
		<transferableflag>1</transferableflag>
		<abstract>The intensity to which natural phenomena have been occurring and surprising the population imposes on Engineering the search for preventive measures that minimize the contingent of people affected by these tragedies. It happens due to the imminent risks of disasters, posed by rain combined with the soil properties, slope and the type of use and land occupation existing in the region. From this perspective, an experimental program aimed at issuing warnings is justified from the technological point of view. Therefore, the present work presents an elaboration of a monitoring system to analysis and alert generation of risks for the city of Ouro Preto, state of Minas Gerais, based on TerraMA2. The project used as a case studies 33 occurrences of slope disruption in the city of Ouro Preto, made available by the city's Civil Defense. The obtained results showed that the generated model, based on the intensity of the accumulated rainfall, as well as the lithological maps, use and occupation and slope, would be effective to identify, in advance, risk situations.</abstract>
		<area>SRE</area>
		<language>pt</language>
		<targetfile>21cabette_pitanga.pdf</targetfile>
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		<url>http://mtc-m16c.sid.inpe.br/rep-/sid.inpe.br/mtc-m16c/2017/12.01.19.38</url>
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