1. Antanasijević DZ, Pocajt VV, Povrenović DS, Ristić MĐ, Perić-Grujić AA (2013) PM10 emission forecasting using artificial neural networks and genetic algorithm input variable optimization. Sci Total Environ 443:511–519
2. Bai Y, Li Y, Wang X, Xie J, Li C (2016) Air pollutants concentrations forecasting using back propagation neural network based on wavelet decomposition with meteorological conditions. Atmos Pollut Res 7:557e566
3. Bedoui S, Gomri S, Samet H, Kachouri A (2016) A prediction distribution of atmospheric pollutants using support vector machines, discriminant analysis and mapping tools (case study: Tunisia). Pollution 2(1):11–23
4. Bhaskar BV, Rajasekhar RVJ, Muthusubramaian P, Kesarkar AP (2008) Measurement and modeling of respirable particulate (PM10) and lead pollution over Madurai, India. Air Qual Atmos Health 1:45–55
5. Breuste J, Rahimi A (2015) Many public urban parks, but who profits from them? The example of Tabriz, Iran. Ecological Processes 4(6):1–15