Abstract
The pollution levels in New Delhi from industrial, residential, and transportation sources are continuously growing. As one of the major pollutants, ground-level ozone is responsible for various adverse effects on both humans and foliage. The present study aims to predict daily ground-level ozone concentration maxima over a site situated in New Delhi through neural networks (NN) and multiple-regression (MR) analysis. Although these methodologies are case and site specific, they are being developed and used widely. Therefore, to test these methodologies for New Delhi where no such study is available for ground-level ozone, six models have been developed based on NNs and MR using the same input data set. The changes in the performance capability of the two methods are sensitive to the selection of input parameters. The results are encouraging, and remarkable improvements in the performance of the models have been observed.
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Mahapatra, A. Prediction of daily ground-level ozone concentration maxima over New Delhi. Environ Monit Assess 170, 159–170 (2010). https://doi.org/10.1007/s10661-009-1223-z
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DOI: https://doi.org/10.1007/s10661-009-1223-z