Environmental Applications of Chemometrics by Joseph J. Breen, Philip E. Robinson

By Joseph J. Breen, Philip E. Robinson

content material: tender autonomous approach to classification analogy : use in characterizing advanced combinations and environmental residues of polychlorinated biphenyls / D.L. Stalling, T.R. Schwartz, W.J. Dunn, III, and J.D. Petty --
comparing info caliber in huge information bases utilizing pattern-recognition options / Robert R. Meglen and Robert J. Sistko --
Exploratory facts research of rainwater composition / Richard J. Vong, Ildiko E. Frank, Robert J. Charlson, and Bruce R. Kowalski --
Multivariate research of electron microprobe-energy dispersive X-ray chemical aspect spectra for quantitative mineralogical research of oil shales / Lawrence E. Wangen, Eugene J. Peterson, William B. Hutchinson, and Leonard S. Levinson --
program of trend popularity to high-resolution fuel chromatographic info acquired from an environmental survey / John M. Hosenfeld and Karin M. Bauer --
caliber coverage functions of development attractiveness to human tracking information / Philip E. Robinson, Joseph J. Breen, and Janet C. Remmers --
Description of pollution by way of development popularity applying the ARTHUR application / F.W. Pijpers --
software of soppy autonomous modeling of sophistication analogy development attractiveness to air pollutant analytical facts / Donald R. Scott --
Cluster research of chemical compositions of person atmospheric debris facts / T.W. Shattuck, M.S. Germani, and P.R. Buseck --
tracking polycyclic fragrant hydrocarbons : an environmental program of fuzzy C-varieties development reputation / R.W. Gunderson and okay. Thrane --
purposes of molecular connectivity indexes and multivariate research in environmental chemistry / Gerald J. Niemi, Ronald R. Regal, and Gilman D. Veith --
development attractiveness of Fourier rework IR spectra of natural compounds / Donald S. Frankel --
Use of composited samples to extend the precision and likelihood of detection of poisonous chemical substances / Gregory A. Mack and Philip E. Robinson --
The alpha and beta of chemometrics / George T. Flatman and James W. Mullins --
Statistical matters in measuring airborne asbestos degrees following an abatement application / Jean Chesson, Bertram P. cost, Cindy R. Stroup, and Joseph J. Breen --
Estimation of spatial styles and inventories of environmental contaminants utilizing kriging / Jeanne C. Simpson --
basic modeling via chemical analogy development popularity / W.J. Dunn, III, Svante Wold, and D.L. Stalling --
a high quality keep an eye on protocol for the analytical laboratory / Robert R. Meglen --
Statistical receptor versions solved by way of partial least squares / Ildiko E. Frank and Bruce R. Kowalski.

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Peterson, William B. Hutchinson, and Leonard S. Levinson Chemistry Division, Los Alamos National Laboratory, Los Alamos, NM 87545 Methods for determinin environmental sample chemical element data are under investigation. Major elements are determined by simultaneous analysis of the energy dispersive spectra from an electron microprobe system. Elemental data and size are obtained for 1000 locations on a single shale sample. The elemental data are analyzed by clustering methods to determine inherent sample groups and to produce sample subsets containing fewer mineral components.

Exact emission p r o f i l e s for the copper smelter and for a power plant located further upwind were not available for c a l c u l a t i o n of source contributions to Western Washington rainwater composition. This type of calculation i s more d i f f i c u l t for rainwater than for aerosol samples due to atmospheric gas to p a r t i c l e conversion of sulfur and nitrogen species and due to variations i n scavenging e f f i c i e n c i e s among species. Gatz (14) has applied the CEB to rainwater samples and discussed the effect of variable s o l u b i l i t y on the evaluation of the s o i l or road dust factor.

3. VONG ET AL. Analysis of Rainwater Composition 35 information, the intercorrelations among the measurements, may remain hidden i n the complexity of the data. Multivariate pattern recognition techniques attempt to i d e n t i f y underlying factors contained i n the measurements while reducing the dimensionality of the data. , the influence of a smelter or seasalt). In a search f o r the chemical and meteorological factors c o n t r o l l i n g r a i n water composition we have demonstrated the performance of these techniques i n the analysis of data consisting of rainwater samples collected weekly at three s i t e s i n Western Washington State i n 1982-83.

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