Abstract
Pollution is one of the major needs to address in the world’s environmental change due to industrialization, urbanization and deforestation. Pollution nature’s cause is widely in range and to maintain proper level is a key issue. Here, we are considering industrial and urban-based air quality index predication and this air index is referral to air quality. The air index is a key variable or major factor to establish the relation between the source emission and ambient air concentration. The artificial neural network (ANN) modeling deployment helps environmental management and its planning in a optimize way. Angul-Talcher is one of the industrial zones in eastern region of India. The seasonal variations of air quality indexing parameter like Suspended Particular Matter (SPM) and Respirable Suspended Particular Matter (RSPM), carbon monoxide (CO), sulphur-dioxide (SO2), nitric-oxide (NO) and nitrogen-dioxide (NO2) with the environmental effective parameter such as temperature (Tair), relative humidity(RH) and air velocity (Vair) are considered as inputs for the design and study. Recent development for high speed computing environment helps to analyze this kind of problem. ANN models are shown better result when it is applied to many environmental engineering problems to address for environmental analysis and management. The model, we used to study the air quality, is a feed-forward neural network for predication.
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Acknowledgements
The author has pleasure to acknowledge Dr. Subhra Keshari Biswal, doctoral and post-doctoral in Environmental Science and Engineering, Life member of Indian Association of Environmental management, for his help in this work.
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Sahoo, L., Praharaj, B.B., Sahoo, M.K. (2021). Air Quality Prediction Using Artificial Neural Network. In: Borah, S., Pradhan, R., Dey, N., Gupta, P. (eds) Soft Computing Techniques and Applications. Advances in Intelligent Systems and Computing, vol 1248. Springer, Singapore. https://doi.org/10.1007/978-981-15-7394-1_3
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DOI: https://doi.org/10.1007/978-981-15-7394-1_3
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