dc.creatorRojas Briceño, Nilton B.
dc.creatorSalas López, Rolando
dc.creatorSilva López, Jhonsy Omar
dc.creatorOliva Cruz, Manuel
dc.creatorGómez Fernández, Darwin
dc.creatorTerrones Murga, Renzo E.
dc.creatorIliquin Trigoso, Daniel
dc.creatorBarrena Gurbillón, Miguel
dc.creatorBarboza Castillo, Elgar
dc.date.accessioned2022-03-02T23:23:08Z
dc.date.accessioned2023-05-24T15:00:15Z
dc.date.available2022-03-02T23:23:08Z
dc.date.available2023-05-24T15:00:15Z
dc.date.created2022-03-02T23:23:08Z
dc.date.issued2021-11-28
dc.identifierRojas 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/cli9120169
dc.identifierhttps://hdl.handle.net/20.500.12955/1627
dc.identifierClimate
dc.identifierhttps://doi.org/10.3390/cli9120169
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/6440076
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.
dc.languagespa
dc.publisherMDPI
dc.publisherSuiza
dc.relationClimate 2021, 9(12), 169
dc.relationhttps://doi.org/10.3390/cli9120169
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceInstituto Nacional de Innovación Agraria
dc.sourceRepositorio Institucional - INIA
dc.subjectAnalytical hierarchy process
dc.subjectMeteorological station
dc.subjectNear análisis
dc.subjectSuitability mapping
dc.titleSite Selection for a Network ofWeather Stations Using AHP and Near Analysis in a GIS Environment in Amazonas, NW Peru
dc.typeinfo:eu-repo/semantics/article


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