Neuro-Fuzzy Approach to Forecast NO2 Pollutants Addressed to Air Quality Dispersion Model over Delhi, India
| Autor: | Pramila Goyal, Dhirendra Mishra |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Pollutant
Pollution 010504 meteorology & atmospheric sciences Meteorology media_common.quotation_subject Air pollution Environmental engineering Statistical model 010501 environmental sciences medicine.disease_cause 01 natural sciences Wind speed medicine Environmental Chemistry Environmental science Visibility Air quality index AERMOD 0105 earth and related environmental sciences media_common |
| Zdroj: | Aerosol and Air Quality Research. 16:166-174 |
| ISSN: | 2071-1409 1680-8584 |
| DOI: | 10.4209/aaqr.2015.04.0249 |
| Popis: | Air pollution forecasting is the most important environmental issue in urban areas as it is useful to assess the effects of air pollutants on human health. It has been observed that the air pollution has been increased above the standard level in the urbanized area of Delhi and will be a major problem in the next few years. Therefore, the main objective of the present study is to develop the model that can forecast daily concentrations of air pollutions in one-day advance. In the present study, the artificial intelligence based Neuro-Fuzzy (NF) model has been proposed for air quality forecasting and the concentration of nitrogen dioxide (NO2) pollutant has been chosen for analysis. The available meteorological variables viz. temperature, pressure, relative humidity, wind speed and direction, visibility and the estimated concentrations through AERMOD. The application of introducing AERMOD aims to improve the forecasting ability of model on the basis the emissions from anthropogenic sources. The training and validation have been made with the eight and two year’s available seasonal daily data respectively. The evaluation of the model has been made by comparing its results with observed values as well as other statistical models like MLR and ANN, which reveals that the NF model is performing well and can be used for operational use. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|