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Statistical Analyses of Ozone Temporal Trends in Calgary, Alberta: an Application of Multivariate Geostatistics

Yusoff, Nooryusmiza (2001) Statistical Analyses of Ozone Temporal Trends in Calgary, Alberta: an Application of Multivariate Geostatistics. Masters thesis, Universiti Teknologi Petronas.

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Abstract

The prediction of tropospheric (surface) ozone episodes is a challenging task that requires the integration of physicochemical and statistical techniques. Governmental agencies such as the U.S. Environmental Protection Agency (EPA) and Alberta Environment favor physicochemical modeling in order to capture the complexity of the underlying physical processes. Unlike physicochemical models, statistical techniques are usually based on spatial and/or temporal correlations between relevant variates. The statistical models also require less exhaustive data sets for accurate predictions; this major advantage is perhaps more obvious when ozone prediction is performed for a longer period of interest. The primary objective of this research is to investigate statistical techniques for modeling ozone and/or other pollutant concentrations given only sparse environmental records at the monitoring stations. Straightforward linear regression based techniques are implemented initially but the inadequacy of these approaches for predicting detailed temporal ozone variations is verified by the results. Then geostatistical paradigms of kriging and sequential stochastic simulation are implemented to incorporate temporal correlation in the form ofvariogram. Secondary variables (covariates) can also be useful for providing extra information and their influence is accounted for in cokriging and cosimulation. The positive-definiteness of auto and cross-covariances are ensured via a linear model of coregionalization (LMC). The "two-point" statistic (variogram) is found to be insufficient and hence this thesis strives to explore methodologies for modeling the highly fluctuating temporal profiles with a view to providing a sound framework for subsequent extensions to spatiotemporal modeling. Ill

Item Type: Thesis (Masters)
Academic Subject : Academic Department - Petroleum Geosciences - Geology - Stratigraphy and structure - Analysis of structural traps
Subject: Q Science > QE Geology
Divisions: Geoscience and Petroleum Engineering
Depositing User: Users 2053 not found.
Date Deposited: 30 Sep 2013 16:55
Last Modified: 25 Jan 2017 09:47
URI: http://utpedia.utp.edu.my/id/eprint/7825

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