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dc.contributor.authorRojas Briceño, Nilton B.-
dc.contributor.authorSalas López, Rolando-
dc.contributor.authorSilva López, Jhonsy Omar-
dc.contributor.authorOliva Cruz, Manuel-
dc.contributor.authorGómez Fernández, Darwin-
dc.contributor.authorTerrones Murga, Renzo E.-
dc.contributor.authorIliquin Trigoso, Daniel-
dc.contributor.authorBarrena Gurbillón, Miguel-
dc.contributor.authorBarboza Castillo, Elgar-
dc.coverage.spatialPerúes_PE
dc.date.accessioned2022-03-02T23:23:08Z-
dc.date.available2022-03-02T23:23:08Z-
dc.date.issued2021-11-28-
dc.identifier.citationRojas Briceño, N.B.; Salas López, R.; Silva López, J.O.; Oliva-Cruz, M.; Gómez Fernández, D.; Terrones Murga, R.E.; Iliquín Trigoso, D.; Barrena Gurbillón, M.; Barboza, E. Site Selection for a Network ofWeather Stations Using AHP and Near Analysis in a GIS Environment in Amazonas, NW Peru. Climate 2021, 9, 169. doi: 10.3390/cli9120169es_PE
dc.identifier.urihttps://hdl.handle.net/20.500.12955/1627-
dc.description.abstractMeteorological observations play a major role in land management; thus, it is vital to properly plan the monitoring network of weather stations (WS). This study, therefore, selected ‘highly suitable’ sites with the objective of replanning the WS network in Amazonas, NW Peru. A set of 11 selection criteria for WS sites were identified and mapped in a Geographic Information System, as well as their importance weights were determined using Analytic Hierarchy Process and experts. A map of the suitability of the territory for WS sites was constructed by weighted superimposition of the criteria maps. On this map, the suitability status of the 20 existing WS sites was then assessed and, if necessary, relocated. New ‘highly suitable’ sites were determined by the Near Analysis method using existing WS (some relocated). The territory suitability map for WS showed that 0.3% (108.55 km2) of Amazonas has ‘highly suitable’ characteristics to establish WS. This ‘highly suitable’ territory corresponds to 26,683 polygons (of ≥30 × 30 m each), from which 100 polygons were selected in 11 possible distributions of new WS networks in Amazonas, with different number and distance of new WS in each distribution. The implementation of this methodology will be a useful support tool for WS network planning.es_PE
dc.description.tableofcontentsAbstract. 1. Introduction. 2. Materials and methods. 3. Results. 4. Discussion. 5. Conclusions. References.es_PE
dc.formatapplication/pdfes_PE
dc.language.isospaes_PE
dc.publisherMDPIes_PE
dc.relation.ispartofClimate 2021, 9(12), 169es_PE
dc.rightsinfo:eu-repo/semantics/openAccesses_PE
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/es_PE
dc.sourceInstituto Nacional de Innovación Agrariaes_PE
dc.source.uriRepositorio Institucional - INIAes_PE
dc.subjectAnalytical hierarchy processes_PE
dc.subjectMeteorological stationes_PE
dc.subjectNear análisises_PE
dc.subjectSuitability mappinges_PE
dc.titleSite Selection for a Network ofWeather Stations Using AHP and Near Analysis in a GIS Environment in Amazonas, NW Perues_PE
dc.typeinfo:eu-repo/semantics/articlees_PE
dc.subject.ocdehttps://purl.org/pe-repo/ocde/ford#4.05.00es_PE
dc.identifier.journalClimatees_PE
dc.relation.publisherversionhttps://doi.org/10.3390/cli9120169es_PE
dc.publisher.countrySuizaes_PE
dc.identifier.doihttps://doi.org/10.3390/cli9120169-
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