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8. India: Mineral Policy

Author

Akhouri, Utkarsh, Thakur, Saurabh, Pathak, Khanindra, Section editor, Tiess, Günter, editor, Majumder, Tapan, editor, and Cameron, Peter, editor

Published
2023
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14. Contextual Soft Dropout Method in Training of Artificial Neural Networks

Author

Ly, Tu Nga, Kern, Rafał, Pathak, Khanindra, Wołk, Krzysztof, Burnell, Erik Dawid, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Nguyen, Ngoc Thanh, editor, Chittayasothorn, Suphamit, editor, Niyato, Dusit, editor, and Trawiński, Bogdan, editor

Published
2021
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48. Risk assessment and prediction of forest health for effective geo-environmental planning and monitoring of mining affected forest area in hilltop region.

Author

Kayet, Narayan, Pathak, Khanindra, Chakrabarty, Abhisek, Kumar, Subodh, Chowdary, Vemuri Muthayya, and Singh, Chandra Prakash

Subjects
*FOREST health, *ENVIRONMENTAL risk assessment, *FOREST management, *RISK assessment, *MINES & mineral resources, *FORECASTING
Abstract

This paper focuses on forest health risk (FHR) assessment and prediction in the mining-affected forest region using AHP model based on multi-criteria analysis in a GIS platform. We considered a total twenty-eight (twenty two present and six predicted) causative parameters including climate, natural or geomorphological, forestry, topographical, environmental, and anthropogenic. The assessment results of FHR show that of the total existing forest area, 2.85% area under very high, 13.63% high, 31.98% moderate, 32.68% low, and 18.87% are under very low categories. According to the assessment and prediction FHR results, the very high-risk classes were found at mines surrounding forest compartments. The sensitivity analysis showed that some factors were more sensitive to FHR. The correlation results showed a negative relationship between FHR and distance from mines and foliar dust concentration. This work will provide a basic guideline for effective planning and management in forestry studies for the mining-affected region. [ABSTRACT FROM AUTHOR]

Published
2022
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