Sentence examples for in the mining process from inspiring English sources

In Samarinda, farmers and residents say that open-pit coal mining has drained water tables — essential for rice farming — because of the large amounts of water used in the mining process, Mining also has increased flooding because it denudes topsoil on hills, leading to rapid runoff of torrential rains into waterways.

Influenced by coal mining, resistivity of far-surface aquifer increases in the mining process, in post-mining deposition stable period, local ground water of the aquifer infiltrates, resistivity decreases, and its water bearing basically recovers to the pre-mining state.

Such knowledge can be helpful to mining operations since reclamation, although often considered to be the last step in the mining process, must actually be integrated earlier in the mining process if post-mining land uses are to be achieved.

Consequently, different data structures may be utilized in the mining process to enhance efficiency.

Critics said the mine would destroy four mountain tops and cyanide used in the mining process could leach into water sources.

Company officials have said they will be considerate of cultural concerns in the mining process, which they hope to begin in 2013.

According to them, the differences in the absorption by the plants of the region can be attributed to the possible development of resistance mechanisms towards metals (e.g., evasion) and to the presence of the different chemical forms of metals generated in the mining processes that have been reported in the area by Razo et al. [ 15].

In [1], authors are interested in modeling and automating the mining process of relevant ARs.

This program can be used for accurate modeling of deposition in a reservoir and the mining process itself.

In the early days, the mining process could be competitively and profitably run from a series of graphics cards linked to a home computer, but in recent years bitcoin mining has become a BIG business.

However, the mining process in microarray-based analysis typically requires in-depth statistical and analytical skills and poses a challenge to researchers who do not possess the required expertise [9].