Site Selection for a Network of Weather Stations Using AHP and Near Analysis in a GIS Environment in Amazonas, NW Peru
Meteorological 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 cr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Climate |
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| Online Access: | https://www.mdpi.com/2225-1154/9/12/169 |
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| author | Nilton B. Rojas Briceño Rolando Salas López Jhonsy O. Silva López Manuel Oliva-Cruz Darwin Gómez Fernández Renzo E. Terrones Murga Daniel Iliquín Trigoso Miguel Barrena Gurbillón Elgar Barboza |
| author_facet | Nilton B. Rojas Briceño Rolando Salas López Jhonsy O. Silva López Manuel Oliva-Cruz Darwin Gómez Fernández Renzo E. Terrones Murga Daniel Iliquín Trigoso Miguel Barrena Gurbillón Elgar Barboza |
| author_sort | Nilton B. Rojas Briceño |
| collection | DOAJ |
| description | Meteorological 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 km<sup>2</sup>) 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. |
| first_indexed | 2024-03-10T04:23:00Z |
| format | Article |
| id | doaj.art-90dc81390759438ebae6ba99bb078fd0 |
| institution | Directory Open Access Journal |
| issn | 2225-1154 |
| language | English |
| last_indexed | 2024-03-10T04:23:00Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Climate |
| spelling | doaj.art-90dc81390759438ebae6ba99bb078fd02023-11-23T07:44:58ZengMDPI AGClimate2225-11542021-11-0191216910.3390/cli9120169Site Selection for a Network of Weather Stations Using AHP and Near Analysis in a GIS Environment in Amazonas, NW PeruNilton B. Rojas Briceño0Rolando Salas López1Jhonsy O. Silva López2Manuel Oliva-Cruz3Darwin Gómez Fernández4Renzo E. Terrones Murga5Daniel Iliquín Trigoso6Miguel Barrena Gurbillón7Elgar Barboza8Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, PeruInstituto de Investigación para el Desarrollo Sustentable de Ceja de Selva, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Chachapoyas 01001, PeruMeteorological 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 km<sup>2</sup>) 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.https://www.mdpi.com/2225-1154/9/12/169analytical hierarchy processmeteorological stationnear analysissuitability mapping |
| spellingShingle | Nilton B. Rojas Briceño Rolando Salas López Jhonsy O. Silva López Manuel Oliva-Cruz Darwin Gómez Fernández Renzo E. Terrones Murga Daniel Iliquín Trigoso Miguel Barrena Gurbillón Elgar Barboza Site Selection for a Network of Weather Stations Using AHP and Near Analysis in a GIS Environment in Amazonas, NW Peru Climate analytical hierarchy process meteorological station near analysis suitability mapping |
| title | Site Selection for a Network of Weather Stations Using AHP and Near Analysis in a GIS Environment in Amazonas, NW Peru |
| title_full | Site Selection for a Network of Weather Stations Using AHP and Near Analysis in a GIS Environment in Amazonas, NW Peru |
| title_fullStr | Site Selection for a Network of Weather Stations Using AHP and Near Analysis in a GIS Environment in Amazonas, NW Peru |
| title_full_unstemmed | Site Selection for a Network of Weather Stations Using AHP and Near Analysis in a GIS Environment in Amazonas, NW Peru |
| title_short | Site Selection for a Network of Weather Stations Using AHP and Near Analysis in a GIS Environment in Amazonas, NW Peru |
| title_sort | site selection for a network of weather stations using ahp and near analysis in a gis environment in amazonas nw peru |
| topic | analytical hierarchy process meteorological station near analysis suitability mapping |
| url | https://www.mdpi.com/2225-1154/9/12/169 |
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