Predicting Wildfires and Measuring their Impacts: Case Studies in British Columbia

Simple item page
dc.contributor.authorXu, Zhen
dc.contributor.supervisorVan Kooten, G. C.
dc.date.accessioned2014-04-29T18:12:22Z
dc.date.available2014-04-29T18:12:22Z
dc.date.copyright2014en_US
dc.date.issued2014-04-29
dc.degree.departmentDepartment of Geography
dc.degree.levelDoctor of Philosophy Ph.D.en_US
dc.description.abstractAs the most destructive forest disturbance in British Columbia, wildfire becomes more worrisome for increasing uncertainty due to climate change. The current study investigates the potential to predict wildfire occurrence using climate indexes and quantify its marginal prices for property values at the municipal level, so as to provide a quantitative indicator for decision making in regard to influences of wildfire occurrence in the near future. First, significant correlations between monthly temperature and precipitation and large fire occurrence with distinctions in terms of distances to municipalities are proved by statistical analysis. Monthly wildfire occurrence are then statistically estimated with the four-month lags of the El NiƱo index and predicted using count models with regional differences. At last, the hedonic pricing model shows distance based positive impact of fire frequency and negative impact of fire size in neighbouring areas on property values.en_US
dc.description.proquestcode0366en_US
dc.description.proquestcode0478en_US
dc.description.proquestcode0463en_US
dc.description.proquestemailzach_xu@hotmail.comen_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/5310
dc.languageEnglisheng
dc.language.isoenen_US
dc.rights.tempAvailable to the World Wide Weben_US
dc.subjectWildfire Occurrenceen_US
dc.subjectGeographical Information System Modelen_US
dc.subjectClimate Indexen_US
dc.subjectBritish Columbia Interioren_US
dc.subjectProperty Valueen_US
dc.titlePredicting Wildfires and Measuring their Impacts: Case Studies in British Columbiaen_US
dc.typeThesisen_US

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Xu_Zhen_PhD_2014.pdf
Size:
2.37 MB
Format:
Adobe Portable Document Format
Description:
PhD Dissertation
Download
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.74 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Electronic Theses and Dissertations (ETD)
 
University of Victoria Libraries

We acknowledge and respect the LəkĢ“Ź·É™Å‹É™n (Songhees and Esquimalt) Peoples on whose territory the university stands, and the LəkĢ“Ź·É™Å‹É™n and WĢ±SƁNEĆ Peoples whose historical relationships with the land continue to this day.