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<p>The significant rise in the air pollution index due to black carbon (BC) can be ascribed to heavy energy dependency of developing nations on coal as their primary energy resource. For countries like India, Coal is the principal contributor to energy demand required for electricity generation and expansion of industry. Bokaro, Jharia and Raniganj are the three important coal fields located in India. The BC concentration data from these coal fields is analysed and forecasted with a suitable developed conjunction mathematical model to look for solutions to the alarming pollution levels both nationally and globally. The model so developed helps to lower the error metrices significantly while forecasting the pollution data as compared to individual soft computing model.</p>

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Black Carbon Concentration Forecasting using Wavelet-ANFIS Conjunction Model

  • 期刊论文

  • 发表日期：

    2026年1月15日

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  • Jatinder Kaur,
  • Sarbjit Singh,
  • Kulwinder Singh Parmar

摘要

The significant rise in the air pollution index due to black carbon (BC) can be ascribed to heavy energy dependency of developing nations on coal as their primary energy resource. For countries like India, Coal is the principal contributor to energy demand required for electricity generation and expansion of industry. Bokaro, Jharia and Raniganj are the three important coal fields located in India. The BC concentration data from these coal fields is analysed and forecasted with a suitable developed conjunction mathematical model to look for solutions to the alarming pollution levels both nationally and globally. The model so developed helps to lower the error metrices significantly while forecasting the pollution data as compared to individual soft computing model.