Name: Air Quality Prediction in Multi Industries Using Computer Simulation (en Inglés)
Price: 2236.64 MXN
Availability: InStock
Author: Kiruba, R. Judith ; Rajan, M. Sundara ; Hepzibah, R. Irene
ISBN: 9786206786269

Envío gratis

portada Air Quality Prediction in Multi Industries Using Computer Simulation (en Inglés)

Formato

Libro Físico

Autor

R. Judith Kiruba

M. Sundara Rajan

R. Irene Hepzibah

Editorial

LAP Lambert Academic Publishing

Idioma

Inglés

N° páginas

204

Encuadernación

Tapa Blanda

Dimensiones

22.9 x 15.2 x 1.2 cm

Peso

0.30 kg.

ISBN13

9786206786269

Categorías

Tecnología: cuestiones generales

Air Quality Prediction in Multi Industries Using Computer Simulation (en Inglés)

R. Judith Kiruba (Autor) · M. Sundara Rajan (Autor) · R. Irene Hepzibah (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

Libro Nuevo

$ 2,236.64

$ 3,727.73

Ahorras: $ 1,491.09

40% descuento

Envío normal

Origen: Estados Unidos (Costos de importación incluídos en el precio)

Se enviará desde nuestra bodega entre el Jueves 25 de Julio y el Viernes 02 de Agosto.

Lo recibirás en cualquier lugar de México entre 1 y 3 días hábiles luego del envío.

Reseña del libro "Air Quality Prediction in Multi Industries Using Computer Simulation (en Inglés)"

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.