Air pollution has become a critical global environmental problem and causes significant public health impacts. Even though this environmental problem is of importance to human health, our knowledge about emissions, chemical transformations and deposition rates of air pollutants and the resultant population exposures is still limited. We propose this comprehensive study to address this issue using Doppler LiDARs network, unmanned aerial vehicles (UAV) and atmospheric modeling.