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Optimisation of Lilla Edet Landslide GPS Monitoring Network
KTH.
University West, Department of Engineering Science, Division of Computer, Electrical and Surveying Engineering.ORCID iD: 0000-0003-0067-8631
KTH.
2015 (English)In: Journal of Geodetic Science, ISSN 2081-9919, E-ISSN 2081-9943, Vol. 5, no 1, p. 57-66Article in journal (Refereed) Published
Abstract [en]

Since the year 2000, some periodic investigations have been performed in the Lilla Edet region to monitor and possibly determine the landslide of the area with GPS measurements. The responsible consultant has conducted this project by setting up some stable stations for GPS receivers in the risky areas of Lilla Edet and measured the independent baselines amongst the stations according to their observation plan. Here, we optimise the existing surveying network and determine the optimal configuration of the observation plan based on different criteria.We aim to optimise the current network to become sensitive to detect 5 mm possible displacements in each net point. The network quality criteria of precision, reliability and cost are used as object functions to perform single-, bi- and multi-objective optimisation models. It has been shown in the results that the single-objective model of reliability, which is constrained to the precision, provides much higher precision than the defined criterion by preserving almost all of the observations. However, in this study, the multi-objective model can fulfil all the mentioned quality criteria of the network by 17% less measurements than the original observation plan, meaning 17%of saving time, cost and effort in the project.

Place, publisher, year, edition, pages
2015. Vol. 5, no 1, p. 57-66
Keywords [en]
Displacement; Observation plan; Optimisation model; Sensitivity
National Category
Infrastructure Engineering
Research subject
ENGINEERING, Geodesy
Identifiers
URN: urn:nbn:se:hv:diva-7705DOI: 10.1515/jogs-2015-0005OAI: oai:DiVA.org:hv-7705DiVA, id: diva2:817338
Available from: 2015-06-05 Created: 2015-06-05 Last updated: 2019-12-03Bibliographically approved

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Eshagh, Mehdi

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CiteExportLink to record
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  • apa
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