Source Identification on High PM2.5 Days Using SEM/EDS, XRF, Raman, and Windblown Dust Modeling
نویسندگان
چکیده
منابع مشابه
Identification and Characterization of Dust Source in Khorasan Razavi Province
Background and Amis: One of the phenomena in arid and semi-arid regions is dust storm. Dust is one of the environmental issues that affect the quality and pollution of the air, human health, soil fertility, visibility, economy, and many social and environmental aspects of the community. The present research has been carried out to identify and characterize the areas of dust source in Khorasan...
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Predicting dust sources area and determining the affecting factors is necessary in order to prioritize management and practice deal with desertification due to wind erosion in arid areas. Therefore, this study aimed to evaluate the application of three machine learning models (including generalized linear model, artificial neural network, random forest) to predict the vulnerability of dust cent...
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ژورنال
عنوان ژورنال: Aerosol and Air Quality Research
سال: 2019
ISSN: 1680-8584,2071-1409
DOI: 10.4209/aaqr.2019.05.0276