Air Quality Prediction in Multi Industries Using Computer Simulation: System Analysis and Algorithm Development for Air Quality Prediction in and Around Multi Industrial Source Complexes - M. Sundara Rajan,R. Irene Hepzibah,R. Judith Kiruba
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Piegāde 15-21 darba dienu laikā
30 dienu atgriešanas politika
The issues arising from coal washery operations, particularly concerning the air environment, demand a systematic examination through a suitable computer algorithm. This algorithm should be developed based on mathematical models to quantify the impact on the air environment system. Consequently, this study aims to design and implement a computer algorithm, utilizing an appropriate contaminant transport mode ... Pilns apraksts
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Aprašymas
The issues arising from coal washery operations, particularly concerning the air environment, demand a systematic examination through a suitable computer algorithm. This algorithm should be developed based on mathematical models to quantify the impact on the air environment system. Consequently, this study aims to design and implement a computer algorithm, utilizing an appropriate contaminant transport model, to predict environmental parameters in and around coal washery complexes. The study identifies significant sources within coal washery operations and examines the pollution scenario of various industrial complexes, as well as the environmental status of nearby rivers, streams, and townships. The developed computer algorithm for predicting the dispersion of air pollutants serves as a versatile tool to address environmental issues related to air pollution. It can be considered a universal model that, with the identification of air pollution sources and estimation of their emission rates using suitable statistical models, can be applied to predict air pollution for various industries.
Vairāk informācijas
| Autors | M. Sundara Rajan, R. Irene Hepzibah, R. Judith Kiruba |
|---|---|
| Izdevējs | LAP LAMBERT Academic Publishing |
| Izlaides gads | 2023 |
| Vāka tips | Mīkstais vāks |
| EAN | 9786206786269 |