Water: Acid mine drainage, a metal-containing water that is formed by the chemical reaction between water and rocks containing sulphur-bearing minerals, can pollute water around a coal mine with heavy metals including copper, lead and mercury. Land: Coal mining can lead to soil erosion and dust, and it disturbs large tracts of land. According to the Internation Energy Agency (IEA), replacing older coal-fired power plants with more efficient plants could significantly reduce the industry’s greenhouse gas emissions.Ĭoal mining’s effect on the environment reaches beyond the atmosphere - the Earth also feels its effects. Using technological advances, the industry has been successful in recovering the methane and preventing it from releasing it into the atmosphere. Mining also produces methane gas, which has a much greater global warming potential than carbon dioxide. Coal-fired power plants can reduce CO2 emissions by capturing the gas and injecting it into deep geological formations for storage. The coal industry is working to improve these detrimental effects.Ĭoal is the dominant carbon dioxide emissions source related to electricity generation according to the Energy Information Administration (EIA). We can apply data mining to various sources:-įirstly before applying data mining, we need to understand the problem and identify the goal.Coal mining and coal use has historically had a negative impact on the environment, particularly by creating harmful gases including carbon dioxide and methane. Different data sources that can be minedĭata Mining can be applied to any kind of data, but it is only applicable as long as the data contains meaningful information. These decisions are very helpful for an organization to have a competitive edge over its competitors or rival organizations. Now with the help of useful information, Many Organizations can decide how to run their business. So, To uncover useful information we use data mining. This data is very difficult to manage and it is very hard to find or uncover useful information from this data. Organizations receive a substantial amount of data from customers, sensors, databases, and many other data sources. Data Mining is considered very significant to organizations. Data Mining is also known as Knowledge discovery in databases.
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