The two day National Seminar on "Technological Advancements for Sustainable Mining and Exploration" (TASME-2025) organized jointly by the MGMI Dhanbad Chapter and CSIR-CIMFR has recomended for Greening of mining operation by creating mining standard and certification, aligning
mining operation with Environmental, Sustainable and Governance (ESG) goals besides
strengthening monitoring and evaluation mechanism.
The event attracted experts, industry leaders, and researchers, to discuss the future of sustainable mining.
Prof. Arvind Kumar Mishra, Chairman, TASME-2025 and Director, CSIR-CIMFR giving details of the recommendations said that Coal production from deep seated underground mines need to be emphasised
through research and development initiatives and mechanisation.Besdies,
R and D initiatives too is need of hour for development of echnologies
for safe, sustainable, smart, responsible and green mining.
He said that Remote sensing techniques may be beneficial for deciding the restoration modes of post
mining land. Time series landsat satellite data may be helpful in analyzing the
vegetation and achieving regrowth of the vegetation. Selection of suitable tree species based on scientific study is needed.
Use of AI/ML technique with cloud data for designing drilling and blasting subsystem parameter for obtaining the optimal blast results to improve production and productivity. However, human intervention is important in designing the blasts for the
sensitive cases, is one of the recommendation of the workshop besides several others.
Besides, top functioniries of coal mining industry several other indudtries and academic instititions took part in this seminar took part in this seminar that has also recommended for Development of low carbon generating mining equipment, Sustainable dust suppression techniques to control dust in mining operation using water
spraying, development of suitable dust suppressants, Carbon footprints of coal and other mineral mines need to be worked out and different
carbon mitigation measures need to be identified and methods needs to be developed.
