Assessing Lightning and Wild Fire Hazard by Land Properties and Cloud to Ground Lightning Data with Association Rule Mining over Alberta, Canada

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atmire.migration.oldid5492
dc.contributor.advisorKim, Jeong Woo
dc.contributor.authorCha, Donghwan
dc.contributor.committeememberWang, Xin
dc.contributor.committeememberLiang, Steve
dc.date.accessioned2017-05-01T16:32:21Z
dc.date.available2017-05-01T16:32:21Z
dc.date.issued2017
dc.date.submitted2017en
dc.description.abstractCharacteristics of Cloud to Ground (CG) lightning over Alberta, Canada were investigated by using 2010-2016 lightning data with data mining methods. The hotspot analysis was implemented to find the regions with high frequency CG lightning strikes clustered together. Generally, hotspot regions are located in central, central east and south central regions of the study regions. About 94% of annual lightning occurred in warm months (June to August) and the daily lightning frequency was influenced by diurnal heating cycle. The CG lightning frequency associated with land properties was investigated by measuring preference index (PI). The association rule mining technique was used to investigate frequent CG lightning patterns, which were verified by similarity measurement to check the patterns’ consistency. The verification of CG lightning hazard map generated with 2010-2014 data was carried out by comparing it to unprocessed raw CG lightning data from 2015-2016. The similarity coefficient values indicated that there were high correlations throughout the entire study period. The actual CG lightning generally occurred more frequently in higher risky regions in the lightning hazard map. Most wild fire (around 93%) in Alberta occurred in forests, wetland forests and wetland shrub areas. It was also found that lightning and wild fire occur in two distinct areas: frequent wild fire region with a high frequency of lightning, and frequent wild fire region with a low frequency of lightning. Further, preference index (PI) revealed locations where the wild fires occurred more frequently than in other class regions. As one of the potential applications of this research, the wild fire hazard area was estimated with the CG lightning hazard map and specific land use types.en_US
dc.identifier.citationCha, D. (2017). Assessing Lightning and Wild Fire Hazard by Land Properties and Cloud to Ground Lightning Data with Association Rule Mining over Alberta, Canada (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/25018en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/25018
dc.identifier.urihttp://hdl.handle.net/11023/3776
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
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.
dc.subjectEngineering--Environmental
dc.subject.otherAssociation rule mining
dc.subject.otherData mining
dc.subject.otherCloud to Ground (CG) lightning
dc.subject.otherHotspot Analysis
dc.subject.otherCanadian Lightning Detection Network (CLDN)
dc.subject.otherCanadian National Fire Database (CNFDB)
dc.subject.otherWild Fire
dc.titleAssessing Lightning and Wild Fire Hazard by Land Properties and Cloud to Ground Lightning Data with Association Rule Mining over Alberta, Canada
dc.typemaster thesis
thesis.degree.disciplineGeomatics Engineering
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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