Evaluation and Optimization of Weather Networks in Athabasca Oil Sands Region

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dc.contributor.advisorHassan, Quazi
dc.contributor.advisorGupta, Anil
dc.contributor.authorDeshmukh, Dhananjay
dc.contributor.committeememberAchari, Gopal
dc.date2023-06
dc.date.accessioned2023-02-01T22:02:46Z
dc.date.available2023-02-01T22:02:46Z
dc.date.issued2023-01-26
dc.description.abstractThe monitoring of weather is required for climate studies, research, and forecasting. For the monitoring purpose, three networks of 19 stations i.e., Water Quantity Program (WQP), Meteorological Towers (MT), and Edge Sites (ES) were operational in Athabasca oil sands region. The overall objective of the study was to identify similarities/redundancies in meteorological observations for the optimization of weather networks. For this, firstly similarity among meteorological parameters have been quantified for air temperature (AT), relative humidity (RH), solar radiation (SR), barometric pressure (BP), precipitation (PR), and snow depth (SD) among station-pairs of each network. In this process, Pearson’s correlation coefficient (r) and average absolute error (AAE) were the best representative measures from the methods of association and coincidence while proposed percentage of similarity (PS%) was the best in comparison to r and AAE to quantify the similarity. Further, RH found to be the least variable with strong and acceptable similarity in each network while similarity was decreased in order of SD, BP, AT, SR, and PR respectively. Secondly, Wind data has been analyzed for these three networks to find the optimal network. Here, it has been revealed that wind rose diagram only appropriate for visual comparison of wind characteristics while r, AAE and PS measures were suitable for similarity analysis of wind. Later, it has been found that all station from these three networks were required to represent wind variability in the region due to very low and unacceptable PS values. Thirdly, influence of land cover and topography have been evaluated on meteorological parameters of these 19 stations where they categorised under seven groups based on similar kind of land cover and topography. In this evaluation, parameters AT and SR were shown strong correlation but limited similarity while RH exhibit the least variability in each group. Moreover, BP and SD have some similarities while PR and WSD were highly variable due to various locational factors other than similar land cover and topography.en_US
dc.identifier.citationDeshmukh, D. (2023). Evaluation and optimization of weather networks in Athabasca oil sands region (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.urihttp://hdl.handle.net/1880/115798
dc.identifier.urihttps://dx.doi.org/10.11575/PRISM/40703
dc.language.isoengen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectcorrelation analysisen_US
dc.subjectsimilarity analysisen_US
dc.subjectweather network optimizationen_US
dc.subjectwind speed and directionen_US
dc.subjectrationalizationen_US
dc.subjectAthabasca river basinen_US
dc.subjectweatheren_US
dc.subjectredundancyen_US
dc.subjectclimateen_US
dc.subject.classificationEngineeringen_US
dc.subject.classificationEngineering--Environmentalen_US
dc.titleEvaluation and Optimization of Weather Networks in Athabasca Oil Sands Regionen_US
dc.typedoctoral thesisen_US
thesis.degree.disciplineEngineering – Geomaticsen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameDoctor of Philosophy (PhD)en_US
ucalgary.item.requestcopytrueen_US
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