Tropospheric Ozone Prediction with Land Cover Regression in Baton Rouge, Louisiana
Ground level ozone (O3) is a pollutant of great public health concern. Spatial interpolation techniques provide powerful tools in estimating O3 exposure, but many fall short when predicting O3 on complex surfaces, especially given the high local variability typically associated with O3 data. Like m...
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| Format: | Others |
| Language: | en |
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LSU
2016
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| Online Access: | http://etd.lsu.edu/docs/available/etd-05262016-085417/ |