Effects of climate change on the surface waters of the Santa River, La Rinconada - Ancash – Peru
Descripción del Articulo
The effect of climate change on the surface waters of the Santa River, the town center la Rinconada, Ancash, Peru, was assessed. Climate change was modeled between 2006 - 2015, through temperature, precipitation, and historical evapotranspiration versus surface waters based on water availability, an...
| Autores: | , |
|---|---|
| Formato: | tesis de grado |
| Fecha de Publicación: | 2021 |
| Institución: | Universidad Tecnológica del Perú |
| Repositorio: | UTP-Institucional |
| Lenguaje: | español |
| OAI Identifier: | oai:repositorio.utp.edu.pe:20.500.12867/4574 |
| Enlace del recurso: | https://hdl.handle.net/20.500.12867/4574 https://doi.org/10.1088/1755-1315/801/1/012011 |
| Nivel de acceso: | acceso abierto |
| Materia: | Climate effect Sea water Cambio climático Agua de mar https://purl.org/pe-repo/ocde/ford#1.05.00 |
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| dc.title.es_PE.fl_str_mv |
Effects of climate change on the surface waters of the Santa River, La Rinconada - Ancash – Peru |
| title |
Effects of climate change on the surface waters of the Santa River, La Rinconada - Ancash – Peru |
| spellingShingle |
Effects of climate change on the surface waters of the Santa River, La Rinconada - Ancash – Peru Pérez Campomanes, Giovene Climate effect Sea water Cambio climático Agua de mar https://purl.org/pe-repo/ocde/ford#1.05.00 |
| title_short |
Effects of climate change on the surface waters of the Santa River, La Rinconada - Ancash – Peru |
| title_full |
Effects of climate change on the surface waters of the Santa River, La Rinconada - Ancash – Peru |
| title_fullStr |
Effects of climate change on the surface waters of the Santa River, La Rinconada - Ancash – Peru |
| title_full_unstemmed |
Effects of climate change on the surface waters of the Santa River, La Rinconada - Ancash – Peru |
| title_sort |
Effects of climate change on the surface waters of the Santa River, La Rinconada - Ancash – Peru |
| author |
Pérez Campomanes, Giovene |
| author_facet |
Pérez Campomanes, Giovene Iannacone, José |
| author_role |
author |
| author2 |
Iannacone, José |
| author2_role |
author |
| dc.contributor.author.fl_str_mv |
Pérez Campomanes, Giovene Iannacone, José |
| dc.subject.es_PE.fl_str_mv |
Climate effect Sea water Cambio climático Agua de mar |
| topic |
Climate effect Sea water Cambio climático Agua de mar https://purl.org/pe-repo/ocde/ford#1.05.00 |
| dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#1.05.00 |
| description |
The effect of climate change on the surface waters of the Santa River, the town center la Rinconada, Ancash, Peru, was assessed. Climate change was modeled between 2006 - 2015, through temperature, precipitation, and historical evapotranspiration versus surface waters based on water availability, and the best regression equations were selected. A validated survey of users of the Rinconada Irrigation Commission (CRR) was also taken. The best equation was exponential type for surface water and average precipitation. In contrast, for surface water and climate change the most appropriate was multiple linear regression. In relation to the survey, 83.33% strongly agree that they are concerned about climate change, and 81.37% agree that they are fully prepared for climate change caused by high temperatures. 27.5 % strongly disagree that the amount of water available in the canals has decreased because of climate change. It is concluded that it is possible to predict water availability in the face of the presence of climate change by applying regression users equations, and that there is concern of CRR users, in the face of the presence of climate change. |
| publishDate |
2021 |
| dc.date.accessioned.none.fl_str_mv |
2021-11-11T16:55:48Z |
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2021-11-11T16:55:48Z |
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2021 |
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info:eu-repo/semantics/bachelorThesis |
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info:eu-repo/semantics/publishedVersion |
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publishedVersion |
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https://hdl.handle.net/20.500.12867/4574 |
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https://doi.org/10.1088/1755-1315/801/1/012011 |
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https://hdl.handle.net/20.500.12867/4574 https://doi.org/10.1088/1755-1315/801/1/012011 |
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spa |
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spa |
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SUNEDU |
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IOP Conf. Series: Earth and Environmental Science;801, 012011 |
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info:eu-repo/semantics/openAccess |
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http://creativecommons.org/licenses/by/4.0/ |
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IOP Publishing |
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GB |
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Repositorio Institucional - UTP Universidad Tecnológica del Perú |
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reponame:UTP-Institucional instname:Universidad Tecnológica del Perú instacron:UTP |
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Universidad Tecnológica del Perú |
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Pérez Campomanes, GioveneIannacone, José2021-11-11T16:55:48Z2021-11-11T16:55:48Z2021https://hdl.handle.net/20.500.12867/4574https://doi.org/10.1088/1755-1315/801/1/012011The effect of climate change on the surface waters of the Santa River, the town center la Rinconada, Ancash, Peru, was assessed. Climate change was modeled between 2006 - 2015, through temperature, precipitation, and historical evapotranspiration versus surface waters based on water availability, and the best regression equations were selected. A validated survey of users of the Rinconada Irrigation Commission (CRR) was also taken. The best equation was exponential type for surface water and average precipitation. In contrast, for surface water and climate change the most appropriate was multiple linear regression. In relation to the survey, 83.33% strongly agree that they are concerned about climate change, and 81.37% agree that they are fully prepared for climate change caused by high temperatures. 27.5 % strongly disagree that the amount of water available in the canals has decreased because of climate change. It is concluded that it is possible to predict water availability in the face of the presence of climate change by applying regression users equations, and that there is concern of CRR users, in the face of the presence of climate change.Campus Lima Norteapplication/pdfspaIOP PublishingGBIOP Conf. 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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).