Journal ArticleDOI
Forecasting of Air Quality Index in Delhi Using Neural Network Based on Principal Component Analysis
Anikender Kumar,Pramila Goyal +1 more
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TLDR
In this paper, a neural network based on principal component analysis (PCA) was used to forecast the daily air quality index (AQI) of criteria air pollutants in Delhi.Abstract:
Forecasting of the air quality index (AQI) is one of the topics of air quality research today as it is useful to assess the effects of air pollutants on human health in urban areas. It has been learned in the last decade that airborne pollution has been a serious and will be a major problem in Delhi in the next few years. The air quality index is a number, based on the comprehensive effect of concentrations of major air pollutants, used by Government agencies to characterize the quality of the air at different locations, which is also used for local and regional air quality management in many metro cities of the world. Thus, the main objective of the present study is to forecast the daily AQI through a neural network based on principal component analysis (PCA). The AQI of criteria air pollutants has been forecasted using the previous day’s AQI and meteorological variables, which have been found to be nearly same for weekends and weekdays. The principal components of a neural network based on PCA (PCA-neural network) have been computed using a correlation matrix of input data. The evaluation of the PCA-neural network model has been made by comparing its results with the results of the neural network and observed values during 2000–2006 in four different seasons through statistical parameters, which reveal that the PCA-neural network is performing better than the neural network in all of the four seasons.read more
Citations
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Journal ArticleDOI
Effect of lockdown amid COVID-19 pandemic on air quality of the megacity Delhi, India.
TL;DR: The study is thought to be a useful supplement to the regulatory bodies since it showed the pollution source control can attenuate the air quality.
Journal ArticleDOI
Indoor Air Quality Improvement in COVID-19 Pandemic: Review
Nehul Agarwal,Nehul Agarwal,Chandan Swaroop Meena,Chandan Swaroop Meena,Binju P Raj,Binju P Raj,Lohit Saini,Lohit Saini,Ashok Kumar,Ashok Kumar,N. Gopalakrishnan,N. Gopalakrishnan,Anuj Kumar,Anuj Kumar,Nagesh Babu Balam,Nagesh Babu Balam,Tabish Alam,Tabish Alam,Nishant Raj Kapoor,Nishant Raj Kapoor,Vivek Aggarwal,Vivek Aggarwal +21 more
TL;DR: In this paper, a review of all the possible measures to improve the indoor air quality taking into account the affecting parameters has been done, which can deliberately help in bringing down the impact of declined air quality and prevent future biological attacks from affecting the occupant's health.
Journal ArticleDOI
Prediction of Air Pollutants Concentration Based on an Extreme Learning Machine: The Case of Hong Kong.
Jiangshe Zhang,Weifu Ding +1 more
TL;DR: This work proposes predicting the concentration of air pollutants by the use of trained extreme learning machines based on the data obtained from eight air quality parameters in two monitoring stations, including Sham Shui Po and Tap Mun in Hong Kong for six years.
Journal ArticleDOI
Artificial intelligence based approach to forecast PM2.5 during haze episodes: A case study of Delhi, India
TL;DR: In this paper, the authors have analyzed the haze episodes in a year and developed the forecasting methodologies for it, and compared with the other modeling techniques e.g., multiple linear regression (MLR), and artificial neural network (ANN).
Journal ArticleDOI
A Review on Air Quality Indexing System
TL;DR: A review of all the major air quality indices developed worldwide is presented in this paper, which can be broadly classified as single pollutant index or multi-pollutant index with different aggregation method.
References
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Posted Content
Public-health impact of outdoor and traffic-related air pollution: a European assessment
P. Filliger,M. Herry,F. Horak,V. Puybonnieux-Texier,Philippe Quénel,Jodi Schneider,R. Seethaler,J.C. Vernaud,H. Sommer,Nino Künzli,R. Kaiser,Sylvia Medina,Michael Studnicka,Olivier Chanel +13 more
TL;DR: In this paper, the authors estimated the impact of outdoor and traffic-related air pollution on public health in Austria, France, and Switzerland, and found that air pollution contributes to mortality and morbidity.
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