A mathematical model to eliminate the traffic pollution with phytoremediation method and base on neural network

In this research a three-part mathematical model for eliminate the traffic air pollution by phytoremediation method based on root growth and death of plants in the system is presented. The model components are based on parameters with different volumes that each has first order determine degradation coefficient. When root moves in the soil, the soil placed in the layers cycle close to the roots (rhizosphere), the root death zone and of soil zone. So however in this model it assumed that the contamination is without moving and fixed but considering that the roots will penetrate in the soil, soil is closest to the rhizosphere. Therefore in this research to consider the root growth, the model is included the spatial grows (grows exponentially with the depth) and temporal growth (the sinusoidal variation with time). Neural network method used to set up and determine the model coefficient. In this regards used from soil contaminant data during 10 years in 4 research site besides Tehran highways.