Abstract
Environmental systems are complex with a web of chemical, physical, and biological interactions driving its measurable chemical characteristics. Thus, to characterize the properties of an airshed, watershed, or other definable ecosystem, large multivariate data sets are needed to provide the basis for identifying the sources of material and understanding their transport, transformation, and fate. Such large data sets then lend themselves to appropriate mathematical and statistical analysis to transform the data into more compact and interpretable results that can serve as the basis for systematic descriptions of the system and to assist in developing the deterministic mathematical models that are needed to estimate the likely effects of future activities or control strategies. This chapter provides illustrative examples of applications of a variety of chemometric methods to environmental problems.
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