Water-soluble organic matter (WSOM) formed through aqueous processes contributes substantially to total atmospheric aerosol, however, the impact of water evaporation on particle concentrations is highly uncertain. Herein, we present a novel approach to predict the amount of evaporated organic mass induced by sample drying using multivariate polynomial regression and random forest (RF) machine learning models. The impact of particle drying on fine WSOM was monitored during three consecutive summers in Baltimore, MD (2015, 2016, and 2017).
View Article and Find Full Text PDFDeveloping value-added material from industrial waste is one of the sustainable ways of recycling solid waste produced from the leather industry. Noise which makes a considerable negative impact in the day to day life of people needs immediate attention where the sound absorbers play a vital role. Nanofibers can be used as sound absorbers due to their properties like porosity and high surface area.
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