SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru
Descripción del Articulo
In Peru, heavy precipitations (PR) are the second natural phenomenon with the greatest number of people affected in recent decades. Landslides (known as “huaycos” in Peru) are mostly produced by PR and located overall on the Andes mountains. In this regard, to monitoring and inform in advance about...
| Autores: | , , , , , |
|---|---|
| Formato: | objeto de conferencia |
| Fecha de Publicación: | 2020 |
| Institución: | Servicio Nacional de Meteorología e Hidrología del Perú |
| Repositorio: | SENAMHI-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorio.senamhi.gob.pe:20.500.12542/1021 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12542/1021 https://doi.org/10.5194/egusphere-egu2020-10970 |
| Nivel de acceso: | acceso abierto |
| Materia: | Precipitación Fenómenos Meteorológicos Hidrometeorología Huaycos Andes Evaluación de Riesgos Deslizamiento de Tierras https://purl.org/pe-repo/ocde/ford#1.05.11 precipitacion - Clima y Eventos Naturales |
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| dc.title.es_PE.fl_str_mv |
SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru |
| title |
SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru |
| spellingShingle |
SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru Millán Arancibia, Carlos Precipitación Fenómenos Meteorológicos Hidrometeorología Huaycos Andes Evaluación de Riesgos Deslizamiento de Tierras https://purl.org/pe-repo/ocde/ford#1.05.11 precipitacion - Clima y Eventos Naturales |
| title_short |
SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru |
| title_full |
SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru |
| title_fullStr |
SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru |
| title_full_unstemmed |
SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru |
| title_sort |
SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru |
| author |
Millán Arancibia, Carlos |
| author_facet |
Millán Arancibia, Carlos Lavado-Casimiro, W. Vega-Jácome, Fiorella Felipe-Obando, Oscar Acuña Azarte, Julia Takahashi, Ken |
| author_role |
author |
| author2 |
Lavado-Casimiro, W. Vega-Jácome, Fiorella Felipe-Obando, Oscar Acuña Azarte, Julia Takahashi, Ken |
| author2_role |
author author author author author |
| dc.contributor.author.fl_str_mv |
Millán Arancibia, Carlos Lavado-Casimiro, W. Vega-Jácome, Fiorella Felipe-Obando, Oscar Acuña Azarte, Julia Takahashi, Ken |
| dc.subject.es_PE.fl_str_mv |
Precipitación Fenómenos Meteorológicos Hidrometeorología Huaycos Andes Evaluación de Riesgos Deslizamiento de Tierras |
| topic |
Precipitación Fenómenos Meteorológicos Hidrometeorología Huaycos Andes Evaluación de Riesgos Deslizamiento de Tierras https://purl.org/pe-repo/ocde/ford#1.05.11 precipitacion - Clima y Eventos Naturales |
| dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#1.05.11 |
| dc.subject.sinia.none.fl_str_mv |
precipitacion - Clima y Eventos Naturales |
| description |
In Peru, heavy precipitations (PR) are the second natural phenomenon with the greatest number of people affected in recent decades. Landslides (known as “huaycos” in Peru) are mostly produced by PR and located overall on the Andes mountains. In this regard, to monitoring and inform in advance about the most susceptible regions to landslides, the National Service of Meteorology and Hydrology of Peru (SENAMHI) has launched the national system for monitoring of landslides produced by PR, called SILVIA (“Sistema de Monitoreo de Movimientos en Masa generados por Lluvias Intensas” in spanish). The methodology couple PR thresholds (7 days of antecedent PR) from PISCO operational precipitation (a gridded daily precipitation product of SENAMHI) with the susceptibility map for landslide hazard produced by the Peruvian Geological, Mining and Metallurgical Institute (INGEMMET). Both inputs products are combined in a purposely-built hazard matrix to get a spatially and temporally variable for landslide hazard: while statistical PR thresholds are used to accomplish a temporal definition with very coarse spatial resolution, landslide susceptibility maps provide static spatial information about the probability of landslide occurrence at fine spatial resolution. The hazard matrix combines three susceptibility classes (S1, low susceptibility; S2 medium susceptibility; S3 high and very high susceptibility) and three PR rate classes (L1, L2, L3), defining three hazard classes, from P1 (low hazard) to P3 (high hazard). |
| publishDate |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2021-06-30T18:03:46Z |
| dc.date.available.none.fl_str_mv |
2021-06-30T18:03:46Z |
| dc.date.issued.fl_str_mv |
2020 |
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info:eu-repo/semantics/conferenceObject |
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text/libro.presentacion |
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conferenceObject |
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Millan, C., Lavado, W., Vega, F., Felipe, O., Acuña, J., and Takahashi, K.: SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru, (2020) EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10970, https://doi.org/10.5194/egusphere-egu2020-10970 |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12542/1021 |
| dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.5194/egusphere-egu2020-10970 |
| dc.identifier.url.none.fl_str_mv |
https://hdl.handle.net/20.500.12542/1021 |
| identifier_str_mv |
Millan, C., Lavado, W., Vega, F., Felipe, O., Acuña, J., and Takahashi, K.: SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru, (2020) EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10970, https://doi.org/10.5194/egusphere-egu2020-10970 |
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https://hdl.handle.net/20.500.12542/1021 https://doi.org/10.5194/egusphere-egu2020-10970 |
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eng |
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eng |
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https://meetingorganizer.copernicus.org/EGU2020/EGU2020-10970.html |
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info:eu-repo/semantics/openAccess |
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European Geosciences Union |
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Millán Arancibia, CarlosLavado-Casimiro, W.Vega-Jácome, FiorellaFelipe-Obando, OscarAcuña Azarte, JuliaTakahashi, Ken2021-06-30T18:03:46Z2021-06-30T18:03:46Z2020Millan, C., Lavado, W., Vega, F., Felipe, O., Acuña, J., and Takahashi, K.: SILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peru, (2020) EGU General Assembly 2020, Online, 4–8 May 2020, EGU2020-10970, https://doi.org/10.5194/egusphere-egu2020-10970https://hdl.handle.net/20.500.12542/1021https://doi.org/10.5194/egusphere-egu2020-10970https://hdl.handle.net/20.500.12542/1021In Peru, heavy precipitations (PR) are the second natural phenomenon with the greatest number of people affected in recent decades. Landslides (known as “huaycos” in Peru) are mostly produced by PR and located overall on the Andes mountains. In this regard, to monitoring and inform in advance about the most susceptible regions to landslides, the National Service of Meteorology and Hydrology of Peru (SENAMHI) has launched the national system for monitoring of landslides produced by PR, called SILVIA (“Sistema de Monitoreo de Movimientos en Masa generados por Lluvias Intensas” in spanish). The methodology couple PR thresholds (7 days of antecedent PR) from PISCO operational precipitation (a gridded daily precipitation product of SENAMHI) with the susceptibility map for landslide hazard produced by the Peruvian Geological, Mining and Metallurgical Institute (INGEMMET). Both inputs products are combined in a purposely-built hazard matrix to get a spatially and temporally variable for landslide hazard: while statistical PR thresholds are used to accomplish a temporal definition with very coarse spatial resolution, landslide susceptibility maps provide static spatial information about the probability of landslide occurrence at fine spatial resolution. The hazard matrix combines three susceptibility classes (S1, low susceptibility; S2 medium susceptibility; S3 high and very high susceptibility) and three PR rate classes (L1, L2, L3), defining three hazard classes, from P1 (low hazard) to P3 (high hazard).application/pdfengEuropean Geosciences Unionhttps://meetingorganizer.copernicus.org/EGU2020/EGU2020-10970.htmlinfo:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de Américahttp://creativecommons.org/licenses/by-nc-nd/3.0/us/Repositorio Institucional - SENAMHIServicio Nacional de Meteorología e Hidrología del Perúreponame:SENAMHI-Institucionalinstname:Servicio Nacional de Meteorología e Hidrología del Perúinstacron:SENAMHIPrecipitaciónFenómenos MeteorológicosHidrometeorologíaHuaycosAndesEvaluación de RiesgosDeslizamiento de Tierrashttps://purl.org/pe-repo/ocde/ford#1.05.11precipitacion - Clima y Eventos NaturalesSILVIA: An operational system to monitoring landslides forced by heavy precipitations at national scale in Peruinfo:eu-repo/semantics/conferenceObjecttext/libro.presentacionORIGINALSILVIA-An-operational-system-to-monitoring-landslides-forced-by-heavy-precipitations-at-national-scale-in-Peru_2020.pdfSILVIA-An-operational-system-to-monitoring-landslides-forced-by-heavy-precipitations-at-national-scale-in-Peru_2020.pdfTexto Completoapplication/pdf7249433http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/1021/1/SILVIA-An-operational-system-to-monitoring-landslides-forced-by-heavy-precipitations-at-national-scale-in-Peru_2020.pdf4693c878f7ffa577fc1c80ebdf00dd37MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).