Coal India (India)

Background: Uncertainty is a common factor in every real-life decision-making problem. Possibility theory is one uncertainty theory in Fuzzy sets (FS). The possibility-based decision-making under a fuzzy environment is a significant multi-criteria decision-making (MCDM) method. Methods: A bipolar FS is an extension of a fuzzy set. With the bipolarity concept, we can handle both positive and negative thoughts. In this study, we have provided a possibility mean of a bipolar fuzzy number. We have developed a ranking method for bipolar fuzzy numbers using this pos-sibility concept. A novel possibility MCDM method is suggested for solving the water resources management (WRM) in the Nagpur area, Maharashtra State, India. Results: The MCDM technique is an effective tool for solving WRM problems in an area. Many uncertainties and bipolarities occur together in Nagpur water resources. WRM technique with fuzzy is one approach that can be used to solve the area's water problem. We have used the pro-posed MCDM to address the water-related issues of this district. With this proposed MCDM method, numerically, we employed water resource problems under a bipolar fuzzy environ-ment. Conclusion: The Nagpur area is covered by Basaltic rock and faces water shortage. The district is experiencing severe water shortages. Groundwater, surface water, and rainfall are three water resources considered as alternatives. According to the proposed MCDM technique in Nagpur district, Groundwater is the best water source from three flanks: quality of water, affordability, and availability.

Abstract Climate change is having a profound impact on Western India, manifesting in altered weather patterns and ecological shifts. This research paper delves into an extensive analysis of meteorological data spanning the years 1981 to 2018, covering nearly four decades of climatic variations. Utilizing data from 40 meteorological stations across the region, examined changes in key climate variables including precipitation, humidity, wind speed, pressure, and temperature. We used Geographic Information Systems (GIS) to analyze spatial patterns of climate and forest cover changes. This approach visualized and quantified the climate changes over the studied period effectively. The results showed an average temperature increase of 0.66°C and a decrease in precipitation by 25.36 mm, indicating a trend towards warmer and drier conditions. The spatial analysis provided a clearer understanding of how these changes are distributed across Western India, linking them directly to shifts in forest ecosystems as evidenced by changes in the Normalized Difference Vegetation Index (NDVI) for the corresponding months and years. The findings from this research are critical for policymakers, as they offer valuable insights that can inform strategies for environmental conservation and restoration, ensuring sustainable management of the region's natural resources in the face of ongoing global warming.

Underground mining is a difficult area for miners to work. Miners must go to the working faces by walking, which is not only time consuming but also physically demanding. In mines, a man-rider chair lift system (MRCL) has been developed to alleviate the strain stresses caused by walking lengthy and uneven distances up to the working faces. All parameters, including horizontal and vertical distances, variation and inclination of underground mines, slope forces considering the weight of persons and chair, forces acting towards return and drive unit, curves angles, power to operate, and rope safety factor, are calculated mathematically while modelling a man-rider chair lift system for both the installation and extension phases. We analyzed the analytical approach in conjunction with practical installation of the man-rider chair lift system to establish if the installation and extension of MRCL is genuinely feasible in the current scenario. We also created a simulation model of steel wire rope in Creo 8.0 for analyzing the various stresses on it with the Ansys R 16.2 software. In both phase I and phase II, the factor of safety is above that recommended, and the system is a hundred percent reliable, risk-free, and safe for operation.