Air quality assessment in and around coal washery complexes using interval type-2 fuzzy reasoning approach
| Autor: | Hepzibah R Irene, Kiruba R Judith |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Air pollution ComputerApplications_COMPUTERSINOTHERSYSTEMS General Medicine Interval (mathematics) medicine.disease_cause complex mixtures Fuzzy logic respiratory tract diseases Work (electrical) medicine Fuzzy reasoning Coal business Process engineering Environmental degradation Air quality index Mathematics |
| Zdroj: | Bulletin of Pure & Applied Sciences- Mathematics and Statistics. :281 |
| ISSN: | 2320-3226 0970-6577 |
| DOI: | 10.5958/2320-3226.2019.00027.4 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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