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GIS-based multicriteria analysis for landslide monitoring base station evaluation using ordered weight averaging

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dc.contributor.authorMustafa I.S.en_US
dc.contributor.authorDin N.M.en_US
dc.contributor.authorOmar R.C.en_US
dc.contributor.authorid26967833900en_US
dc.contributor.authorid9335429400en_US
dc.contributor.authorid35753735300en_US
dc.date.accessioned2023-05-29T08:07:37Z
dc.date.available2023-05-29T08:07:37Z
dc.date.issued2020
dc.description.abstractA slope monitoring system is important for power utilities since its assets, especially transmission lines at high altitude areas, are vulnerable to landslide. One of the best real-time monitoring approaches is to install appropriate sensors for detecting slope failure.Sensor data is collected electronically via antenna and sent to a centralized data location via communication channels. This telemetry system relies on wide area communication accessible at that location. To improve network performance, the position of every base stations should be strategically planned to ensure data integrity. However, there are numerous factors to be considered when choosing the alternative of the communication technologies such as topography, accessibility, power supply availability and others. Therefore, this study proposes a Geographical Information System (GIS)-based system with an emphasis on the multi-criteria decision analysis (MCDA) for preliminary site suitability of base station placement. The factors are classified into five main criteria which are technical, topography, risk assessment, land cover and accessibility criteria and then the weight is justified by the experts for final weight consensus. Fuzzy membership function is used in standardization stage to reclassify and transform the input criteria data based on a range of specific set. The Analytical Hierarchy Process (AHP) is used to generate an alternative decision using a multi-criteria evaluation (MCE) technique. The criteria maps were combined and overlaid using weighted linear combination (WLC) techniques and ordered weighted average (OWA). The results yielded that GIS-WLC and OWA model can be integrated into MCDA to select and the optimal site of antenna base station placement. � 2020 Alpha Publishers. All rights reserved.en_US
dc.description.natureFinalen_US
dc.identifier.epage5747
dc.identifier.issue9
dc.identifier.scopus2-s2.0-85094119259
dc.identifier.spage5730
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85094119259&partnerID=40&md5=526a475fd18115c88c7caf051f78072e
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/25256
dc.identifier.volume10
dc.publisherAlpha Publishersen_US
dc.sourceScopus
dc.sourcetitleJournal of Green Engineering
dc.titleGIS-based multicriteria analysis for landslide monitoring base station evaluation using ordered weight averagingen_US
dc.typeArticleen_US
dspace.entity.typePublication
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