AIR QUALITY ASSESSMENT IN AND AROUND COAL WASHERY  COMPLEXES USING INTERVAL TYPE-2 FUZZY REASONING  APPROACH

Kiruba R Judith; Hepzibah R Irene

doi:10.48165/

Authors

Kiruba R Judith Department of Computer Science T.B.M.L.College, Porayar, Tamil Nadu 609307, India.
Hepzibah R Irene PG& Research Department of Mathematics, T.B.M.L. College, Porayar, Tamil Nadu 609307, India.

DOI:

https://doi.org/10.48165/

Keywords:

Industrial coal washery complexes, Air Pollution, Air quality assessment, Interval type-2 fuzzy logic syste, Air quality index.

Abstract

This paper presents a model based on interval type-2 fuzzy reasoning approach for assessment of air quality in coal washery complexes. In the proposed model, emission rates of SPM and SO2 from various sources and activities of coal washery complexes are estimated using fuzzy models. The presented models would be a pioneering work for the environmental researchers, engineers, policy makers and protection agencies to assess the impact of industrial activities in coal washery complexes. This approach would enable a better understanding of the pattern of environmental degradation through the sources and quantitatively assess to overcome the problem.

References

. Gorai, A., Upadhyay, A. and Goyal, P. (2014). Design of fuzzy synthetic evaluation model for air quality assessment,. Environ. Syst. Decisions, 34(3), 456-469.

. Madhave Rao, B. (1994). Air pollution in coal mining and coal based industries and their general effect, Impact of mining on the environment, (Proceeding of International Symposium), 35-44. [3]. Akkaya, G., Turanoglu, B. and Oztas, S. (2015). An integrated fuzzy AHP and fuzzy MOORA

approach to the problem of industrial engineering sector choosing, Exp. Syst. Appl., 42 (24), 9565- 9573.

. Banerjee, G.K., Srivastava, K.K., Chakravarty, M.K. and Sundararajan, M. (2012). An Approach Towards the Estimation of Emission Rates from Various Activities of Naomundih Iron Ore Mine – Case Study, Journal of Scientific and Industrial Research, 62, 339-343.

. Abdullah, I. and Khalid, N.D. (2012). Classification of air quality using fuzzy synthetic multiplication, Environmental Monitoring and Assessment, 184(11), 6957-6965.

. Debnath, J., Majumdar, Debasish and Biswas, Animesh (2018). Air quality assessment using weighted interval type-2 fuzzy inference system, Ecological Informatics, (Elsevier ) 46, 133-146. [7]. Yadav, J., Kharat, V. and Deshpande, A. (2014). Fuzzy description of air quality using fuzzy inference system with degree match via computing with words- A case study, Air Quality, Atmosphere and Health, (Springer ) 7, 325-334.

. Zadeh, L.A. (1965). Fuzzy sets, Inf. Control, 8, 338-353.

. Sundararajan, M., Banerjee, G.K., Nikhil, K. and Misra, D.D. (2002). Air Quality Dispersion Scenario at Noamundi Iron Ore Mine through Mathematical Modelling and Computer Simulation - A Case Study, Presented in the National Symposium on Sustainable Mining Technology: Present and Future, Organized by Anna University at Chennai 14-15th March 2002.

. Sundararajan, M., Loveson, V.J., Chattopadhyay, A. and Venugopal, R. (2002). Impact of Coal Preparation Plants on Nearby Fluvial Systems and Assessment Through Mathematical Modeling And Computer Simulation, Proceedings of International Conference on Challenges in Coal and Mineral Beneficiation, Organized at I.S.M, Dhanbad, (2002), 303-310.

. Busen, R. and Hanel, G. (1990). Radiation budget of the boundary layer, Part-I: measurement of absorption radiation by atmospheric particles and water vapour, Contribution of Atmospheric Physics, 60, 229-240.