Title
Site selection for a network of weather stations using ahp and near analysis in a gis environment in amazonas, nw peru
Date Issued
01 December 2021
Access level
open access
Resource Type
journal article
Author(s)
Oliva-Cruz M.
Fernández D.G.
Trigoso D.I.
Gurbillón M.B.
Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas
Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas
Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas
Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas
Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas
Publisher(s)
MDPI
Abstract
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 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.
Volume
9
Issue
12
Language
English
OCDE Knowledge area
Meteorología y ciencias atmosféricas
Subjects
Scopus EID
2-s2.0-85121629080
Source
Climate
ISSN of the container
22251154
Sponsor(s)
This research was funded by Public Investment Project SNIP No. 312235—GEOMÁTICA, executed by the Instituto de Investigación para el Desarrollo Sustentable de Ceja de Selva (INDES-CES) of the Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas (UNTRM)
Sources of information:
Directorio de Producción Científica
Scopus