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Environmental impact assessment studies for mining area in Goa, India, using the new approach

  • Manan Sarupria
  • Sampatrao D. ManjareEmail author
  • Mohan Girap
Article
  • 105 Downloads

Abstract

The mining industry is a fundamental source for building infrastructures and an enabler for a country’s growth. Over the last decade, the act of mining has been among the top in the list of human activities which has the most disturbing and catastrophic impacts on environment, therein extensively affecting the ecological, economic, and social elements in the vicinity. There is an exigency for a pragmatic balance to exist between the global demand satisfaction of metal and environmental sustenance. In this paper, a comprehensive case study on Environmental Impact Assessment (EIA) of a mining site has been presented using the new approach. This new approach is an improved version of the traditional matrix method, incorporating a modified version of Rapid Impact Assessment Matrix (RIAM) integrated with analytical hierarchy process (AHP), thereby knocking out the limitations in the existing EIA techniques. The data used in this study is an outcome of a broad survey conducted among the people associated in both direct and indirect ways to the project actions related to the mining industry and, hence, minimizing issues such as assessors’ reproducibility, subjectivity, and non-inclusivity of all stakeholders’ opinion, which can contribute to misleading outcomes. This new approach delivers more precise and practical results for the assessment of environmental impact data.

Keywords

Mining industry Environmental Impact Assessment (EIA) Analytical hierarchy process (AHP) Rapid Impact Assessment Matrix (RIAM) method Modified matrix method 

Abbreviations

EIA

Environmental Impact Assessment

AHP

Analytical hierarchy process

RIAM

Rapid Impact Assessment Matrix Method

RI

Random index

CI

Consistency index

CR

Consistency ratio

ES

Environmental scores

Aij

ith row element in jth column of matrix A

\( \sum \limits_{j=1}^n{A}_{\mathrm{ij}} \)

Ai1 + Ai2 +…...+ Ai(n − 1) + Ain

Notes

Acknowledgements

We like to thank Birla Institute of Technology and Science Pilani, Goa, for supporting this project. We are also thankful to the Goa State Pollution Control Board, the mining company officials, and the local people living in the vicinity of the mines who contributed to the objectivity and efficiency of this new methodology. Last but not the least, we would like to extend our gratitude towards all the environmental experts who greatly contributed in analyzing and quantifying the final results in a very constructive manner.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  • Manan Sarupria
    • 1
  • Sampatrao D. Manjare
    • 1
    Email author
  • Mohan Girap
    • 2
  1. 1.Department of Chemical EngineeringBirla Institute of Technology and ScienceSancoaleIndia
  2. 2.Goa State Pollution Control BoardPanajiIndia

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