PREDICTION OF CLIMATIC CONDITION USING DATA MINING TOOLS AND ITS IMPACT ON FLY-ASH METAL CONCENTRATION

摘要

Coal fly-ash is a heterogeneous material. Generally in fly-ash several factors affect or control the concentrations of mineral elements (in traces) that include element sources, element existence, combustion process, volatilization-condensation mechanism and of course the particle size. Since last several years so many papers published and highlighted the topic of concentration of mineral elements in coal fly-ash, and focused mainly on the particle size and weather conditions etc. Our current manuscript is dealing and giving emphasis on climatic conditions such as temperature and humidity, which is in most cases plays a leading role in the concentration of mineral elements in fly-ash. In this manuscript we developed a formula and consequently calculated the concentration of mineral elements in fly-ash using data mining statistical techniques like "Regression" for two different variables such as humidity and temperature against particle size. It is recorded from our current result that when we exceeded the temperature and humidity Zn, Cu, Cd and Pb shows less concentration among all tested mineral elements and finally the concentration of tested metal was in the order of Mn＞Ni＞Cr＞Zn＞Cu＞Pb＞Co＞Cd. It is clear from our present result that the particle size, temperature and humidity play a role in metal concentration raise or decline in fly-ash.