Xiansheng Liu, Xun Zhang, Rui Wang, Ying Liu, Hadiatullah Hadiatullah, Yanning Xu, Tao Wang, Jan Bendl, Thomas Adam, Jürgen Schnelle-Kreis, Xavier Querol
In this study, we propose a novel long short-term memory (LSTM) neural network model that leverages color features (HSV: hue, saturation, value) extracted from street images to estimate air quality with particulate matter (PM) in four typical European environments: urban, suburban, villages, and the harbor. To evaluate its performance, we utilize concentration data for eight parameters of ambient PM (PM1.0 , PM2.5 , and PM10 , particle number concentration, lung-deposited surface area, equivalent mass concentrations of ultraviolet PM, black carbon, and brown carbon) collected from a mobile monitoring platform during the nonheating season in downtown Augsburg, Germany, along with synchronized street view images...
February 14, 2024: Environmental Science & Technology