Analysis of Correlation Between Secondary PM2.5 and Factory Pollution Sources by Using ANN and the Correlation Coefficient

• Published in: IEEE access Vol. 5; pp. 22812 - 22822
• Main Authors: Chang, Jui-Hung, Tseng, Chien-Yuan
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.01.2017; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Air monitoring; Air pollution; Ammonia; Artificial neural network; Artificial neural networks; Atmospheric modeling; Chemical reactions; Classification; Correlation; Correlation analysis; Correlation coefficients; Exhaust gases; Factories; Farming; Industrial plants; Industries; mean square error methods; Meteorological data; Monitoring; Pollution monitoring; Pollution sources; Production facilities; Stations; tensorflow

Industry 4.0 is gaining more attention from the public, and thus the correlation between factories and nearby environmental pollution sources is a subject worth in-depth research. Among environmental issues, Particulate Matter2.5 (PM2.5) has received considerable attention in recent years from acade...