Browse by author
Lookup NU author(s): Dr Anil Namdeo
Full text for this publication is not currently held within this repository. Alternative links are provided below where available.
Normal 0 false false false EN-GB ZH-CN X-NONE MicrosoftInternetExplorer4 Several attempts are being made worldwide to understand the gravity of the problem well known to us as air pollution. Researchers and policy-makers have been trying to manage the scenario through scientific, regulatory and non-regulatory options. This paper is another attempt to study the performance evaluation of some well-known air quality dispersion models like AERMOD, ADMS, ISCST3 and CALINE 4 and dispersion calculation codes like GFLSM and DFLSM. The performance evaluation of such models and codes is being carried out in Delhi, India. These models/codes are Gaussian based, with different levels of sophistication. Their individual performances have been reported elsewhere. This study will report on the applicability and performance of these models and the two codes for Indian conditions. Sufficient amount of emission, meteorological, and traffic activity data are needed for running these models/codes. The evaluation of these models/codes has been carried out in Delhi by using the historical air quality, meteorological and traffic data for the year 2007. Modelled concentrations of key pollutants (CO, NO2 and RPM) have been compared with the observed concentrations at a precision air quality monitoring station, ITO Junction in Delhi. This is one of the busiest junctions in Delhi and carries very heavy traffic with mixed vehicle fleet consisting of from two wheelers, three wheelers, cars, vans, buses and heavy duty vehicles. Delhi vehicle fleet runs on a variety of fuels ranging from petrol and diesel to CNG. The models/codes have been evaluated using standard performance indicators like Mean Bias Error (MBE), Mean Absolute Error (MAE), Root Mean Square Error (RMSE) and Index of Agreement (d). A comparative matrix of models performance has been produced based on key performance indicator and also on the ease of input data predation, application and suitability to Indian applications.
Author(s): Namdeo AK, Nagendra SMS, Khare M, Bell M, Sohel I, Cairns J
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: 10th Urban Environment Symposium
Year of Conference: 2010
