Participatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peru

Descripción del Articulo

Heavy rainfall, floods and debris flow on the Rimac river watershed are recurring events that impact Peruvian people in vulnerable situations.There are few historical records, in terms of hydrometeorological variables, with sufficient temporal and spatial accuracy. As a result, Early Warning Systems...

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Detalles Bibliográficos
Autores: Arestegui, Miguel, Ordoñez, Miluska, Cisneros, Abel, Madueño, Giorgio, Almeida, Cinthia, Aliaga Nestares, Vannia, Quispe, Nelson, Millán Arancibia, Carlos, Lavado-Casimiro. W., Huaman, Samuel, Phillips, Jeremy
Formato: informe técnico
Fecha de Publicación:2022
Institución:Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio:SENAMHI-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.senamhi.gob.pe:20.500.12542/1906
Enlace del recurso:https://hdl.handle.net/20.500.12542/1906
Nivel de acceso:acceso abierto
Materia:Hidrometeorología
Lluvia
Gestión de Riesgo
Rainfall Monitoring
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 Participatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peru
title Participatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peru
spellingShingle Participatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peru
Arestegui, Miguel
Hidrometeorología
Lluvia
Gestión de Riesgo
Rainfall Monitoring
https://purl.org/pe-repo/ocde/ford#1.05.11
precipitacion - Clima y Eventos Naturales
title_short Participatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peru
title_full Participatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peru
title_fullStr Participatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peru
title_full_unstemmed Participatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peru
title_sort Participatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peru
author Arestegui, Miguel
author_facet Arestegui, Miguel
Ordoñez, Miluska
Cisneros, Abel
Madueño, Giorgio
Almeida, Cinthia
Aliaga Nestares, Vannia
Quispe, Nelson
Millán Arancibia, Carlos
Lavado-Casimiro. W.
Huaman, Samuel
Phillips, Jeremy
author_role author
author2 Ordoñez, Miluska
Cisneros, Abel
Madueño, Giorgio
Almeida, Cinthia
Aliaga Nestares, Vannia
Quispe, Nelson
Millán Arancibia, Carlos
Lavado-Casimiro. W.
Huaman, Samuel
Phillips, Jeremy
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Arestegui, Miguel
Ordoñez, Miluska
Cisneros, Abel
Madueño, Giorgio
Almeida, Cinthia
Aliaga Nestares, Vannia
Quispe, Nelson
Millán Arancibia, Carlos
Lavado-Casimiro. W.
Huaman, Samuel
Phillips, Jeremy
dc.subject.es_PE.fl_str_mv Hidrometeorología
Lluvia
Gestión de Riesgo
Rainfall Monitoring
topic Hidrometeorología
Lluvia
Gestión de Riesgo
Rainfall Monitoring
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 Heavy rainfall, floods and debris flow on the Rimac river watershed are recurring events that impact Peruvian people in vulnerable situations.There are few historical records, in terms of hydrometeorological variables, with sufficient temporal and spatial accuracy. As a result, Early Warning Systems (EWS) efficiency, dealing with these hazards, is critically limited. In order to tackle this challenge, among other objectives, the Participatory Monitoring Network (Red de Monitoreo Participativo or Red MoP, in spanish) was formed: an alternative monitoring system supported by voluntary community collaboration of local population under a citizen science approach. This network collects and communicates data captured with standardized manual rain gauges (< 3USD). So far, it covers districts in the east metropolitan area of the capital city of Lima, on dense peri-urban areas, districts on the upper Rimac watershed on rural towns, and expanding to other upper watersheds as well. Initially led by Practical Action as part of the Zurich Flood Resilience Alliance, it is now also supported by SENAMHI (National Meteorological and Hydrological Service) and INICTEL-UNI (National Telecommunications Research and Training Institute), as an activity of the National EWS Network (RNAT).
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-04-06T20:37:01Z
dc.date.available.none.fl_str_mv 2022-04-06T20:37:01Z
dc.date.issued.fl_str_mv 2022
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/report
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url https://hdl.handle.net/20.500.12542/1906
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language spa
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https://doi.org/10.5194/egusphere-egu22-13115
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dc.source.es_PE.fl_str_mv Repositorio Institucional - SENAMHI
Servicio Nacional de Meteorología e Hidrología del Perú
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spelling Arestegui, MiguelOrdoñez, MiluskaCisneros, AbelMadueño, GiorgioAlmeida, CinthiaAliaga Nestares, VanniaQuispe, NelsonMillán Arancibia, CarlosLavado-Casimiro. W.Huaman, SamuelPhillips, Jeremy2022-04-06T20:37:01Z2022-04-06T20:37:01Z2022https://hdl.handle.net/20.500.12542/1906https://hdl.handle.net/20.500.12542/1906Heavy rainfall, floods and debris flow on the Rimac river watershed are recurring events that impact Peruvian people in vulnerable situations.There are few historical records, in terms of hydrometeorological variables, with sufficient temporal and spatial accuracy. As a result, Early Warning Systems (EWS) efficiency, dealing with these hazards, is critically limited. In order to tackle this challenge, among other objectives, the Participatory Monitoring Network (Red de Monitoreo Participativo or Red MoP, in spanish) was formed: an alternative monitoring system supported by voluntary community collaboration of local population under a citizen science approach. This network collects and communicates data captured with standardized manual rain gauges (< 3USD). So far, it covers districts in the east metropolitan area of the capital city of Lima, on dense peri-urban areas, districts on the upper Rimac watershed on rural towns, and expanding to other upper watersheds as well. Initially led by Practical Action as part of the Zurich Flood Resilience Alliance, it is now also supported by SENAMHI (National Meteorological and Hydrological Service) and INICTEL-UNI (National Telecommunications Research and Training Institute), as an activity of the National EWS Network (RNAT).application/pdfspaEuropean Geosciences UnionPEhttps://meetingorganizer.copernicus.org/EGU22/EGU22-13115.htmlhttps://doi.org/10.5194/egusphere-egu22-13115info: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:SENAMHIHidrometeorologíaLluviaGestión de RiesgoRainfall Monitoringhttps://purl.org/pe-repo/ocde/ford#1.05.11precipitacion - Clima y Eventos NaturalesParticipatory rainfall monitoring: strengthening hydrometeorological risk management and community resilience in Peruinfo:eu-repo/semantics/reporttext/libro.presentacionORIGINALParticipatory-rainfall-monitoring-strengthening-hydrometeorological-risk-management-and-community-resilience-in-Peru_2022.pdfParticipatory-rainfall-monitoring-strengthening-hydrometeorological-risk-management-and-community-resilience-in-Peru_2022.pdfTexto Completoapplication/pdf57903http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/1906/1/Participatory-rainfall-monitoring-strengthening-hydrometeorological-risk-management-and-community-resilience-in-Peru_2022.pdfbc2674b432ae9ccec247ffe807ed1a94MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; 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