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Prediction and Analysis of Ecological Climatic Conditions (Humidity/Temperature) of Different Countries Fly-Ash Using Data Mining Techniques

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Next Generation Computing Technologies on Computational Intelligence (NGCT 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 922))

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Abstract

Basically coal is a deposited rock of biological origin which is produced by the diagenesis and metamorphism of flora at a certain compression and at defined temperature; the degree of alteration endured by coal as it develops from peat to anthracite, recognized as coalification.

In recent past, there are several papers highlighted the concentration of heavy metals and metalloids in fly-ash, but there are still scanty of research which may highlight the climatic conditions especially temperature and humidity and particle size influence on metals in fly-ash. In compass of this issue, we focused our present manuscript on climatic variations especially humidity/temperature and different particle size of fly-ash and its influence on metal concentration. We used a formula for normalizing the values of generated fly-ash from coal and consequently calculated the metal concentrations in fly-ash using data mining statistical tools for two different natural variables like humidity and temperature against particle size. From our observations we noted that in all countries (India, Macedonia, Philippines and Spain) except Greece fly-ash, if we normalized the value (temperature/humidity) against particle size the lowest concentration of metals like Cr, Ni, Cu and Zn was at < 53 micron particle size and the highest metals like Pb and Zn was at 150–106 micron particle size. So, it is very clear from this normalized formula and values that particle size with normalized temperature/humidity plays role in metal concentrations in fly-ash.

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Correspondence to Divya Gupta .

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Gupta, D., Saxena, K. (2019). Prediction and Analysis of Ecological Climatic Conditions (Humidity/Temperature) of Different Countries Fly-Ash Using Data Mining Techniques. In: Prateek, M., Sharma, D., Tiwari, R., Sharma, R., Kumar, K., Kumar, N. (eds) Next Generation Computing Technologies on Computational Intelligence. NGCT 2018. Communications in Computer and Information Science, vol 922. Springer, Singapore. https://doi.org/10.1007/978-981-15-1718-1_3

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  • DOI: https://doi.org/10.1007/978-981-15-1718-1_3

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