This book provides a step-by-step procedure for formulation and development of Artificial Neural Networks based Vehicular pollution models. It takes into account meteorological and traffic aspects. The book will be useful for professionals and researchers working in problems associated with urban air pollution management and control
This book provides a step-by-step procedure for formulation and development of Artificial Neural Networks based Vehicular pollution models. It take...
Artificial neural networks (ANNs), which are parallel computational models, comprising of interconnected adaptive processing units (neurons) have the capability to predict accurately the dispersive behavior of vehicular pollutants under complex environmental conditions. This book aims at describing step-by-step procedure for formulation and development of ANN based VP models considering meteorological and traffic parameters. The model predictions are compared with existing line source deterministic/statistical based models to establish the efficacy of the ANN technique in explaining...
Artificial neural networks (ANNs), which are parallel computational models, comprising of interconnected adaptive processing units (neurons) have t...
Due to exponential increase in the number of vehicles registered, presence of thermal power plants and industrial activities in Delhi, the pollution levels are higher making it very clear that the pollution levels are contributed by all these sources. Hence, a study of monitoring of ambient air quality at 4 sites of Delhi city due to above-mentioned sources was carried out in order to assess the impact of various sources on pollution levels in the month of October and November 2000. Pollutants namely SO2, NOx and SPM (FSP, RSP and TSP) were monitored at 4 different locations, namely, Okhla...
Due to exponential increase in the number of vehicles registered, presence of thermal power plants and industrial activities in Delhi, the pollution l...
