Green blasting policy: Simultaneous forecast of vertical and horizontal distribution of dust emissions using artificial causality-weighted neural network

Author:

Bakhtavar EzzeddinORCID,Hosseini ShahabORCID,Hewage Kasun,Sadiq Rehan

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Strategy and Management,General Environmental Science,Renewable Energy, Sustainability and the Environment

Reference55 articles.

1. Monitoring and assessment of pollutants resulting from bench-blasting operations;Abdollahisharif;J. Min. Environ.,2016

2. Green biocompatible approach to reduce the toxic gases and dust caused by the blasting in surface mining;Abdollahisharif;Environ. Earth. Sci.,2016

3. Predicting blasting propagation velocity and vibration frequency using artificial neural networks;Álvarez-Vigil;Int. J. Rock Mech. Min. Sci.,2012

4. Towards the development of a low cost airborne sensing system to monitor dust particles after blasting at open-pit mine sites;Alvarado;Sensors,2016

5. Airblast prediction through a hybrid genetic algorithm-ANN model;Armaghani;Neural Comput. Appl.,2018

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