Solving the chemical mass balance problem using an artificial neural network

Article Abstract:

The use of a back-propagation artificial neural network for modeling air pollution source apportionment problems was proposed. National Bureau of Standards aerosol composition data was used to illustrate the technique. It was shown that the back-propagation artificial neural network was capable of making satisfactory predictions. It was also capable not only of pinpointing actual active sources but quantifying source contributions as well.

Usage, Computer networks, Measurement, Environmental aspects, Neural networks, Pollution, Air pollution

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An investigation into the use of chitosan for the removal of soluble silver from industrial wastewater

Article Abstract:

The biopolymer chitosan was analyzed as a means for removing soluble silver from industrial wastewater. Also, chitosan, at approximately $8 per pound, costs far less than commercial resins at about $50 per pound.

Primary nonferrous metals, not elsewhere classified, Primary Smelting and Refining of Nonferrous Metal (except Copper and Aluminum), Silver, Waste Treatment Chemicals ex Biocides, Precious metal products, Biopolymers, Industrial wastes, Solubility, Constructed wetlands, Waste treatment chemicals, Metal wastes

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Pattern recognition of soil samples based on the microbial fatty acid contents

Article Abstract:

Chemical species that are biologically derived, and associated with a particular crop in a farming area, can be more helpful in discriminating soil samples.

Fatty Acids & Derivatives, Soil microbiology, Fatty acids

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