Thermodynamic Prediction of Groundwater-Rock Interaction Products around Underground Disposal Sites

Geoelectric exploration and monitoring in rock salt for the safety assessment of underground waste disposal sites

The safety of an underground waste disposal site depends to a large extent on the presence and migration of the water in the rock. Geoelectrics is the most suitable method particularly in underground mining conditions to explore and monitor the moist zones in many different rocks. Recent developments in hardware, inversion schemes and petrophysical interpretation of the resistivity enable relia...

Disposal of medicinal products.

Rock dusting considerations in underground coal mines

Rock dusting to prevent coal dust explosions has been in widespread use in U.S. underground coal mines since the early 1900s. Underground coal mining technology has changed significantly over this same time period, becoming highly mechanized and produces finer coal dust particles which are more explosive. Despite the advances in mining technology, mine-wide dust sampling practices have remained...

Rock-Water Interaction and Chemical Quality Analysis of Groundwater in Hard Rock Terrain of Chamrajanagara District, Karnataka, India Using Geoinformatics

Water is the main source for domestic, engineering, industrial, agricultural and multipurpose uses which affects its supply and demand due to rapid rise in population. Occurrence and movement of groundwater are controlled by the degree of weathering, fracturing, the geomorphological set up and precipitation [1,2] Scarcity of potable drinking water is one of the major development issues in parts...

Prediction of Protein-Protein Interaction Sites Using Support Vector Machines

The identification of protein-protein interaction sites is essential for the mutant design and prediction of protein-protein networks. The interaction sites of residue units were predicted using support vector machines (SVM) and the profiles of sequentially/spatially neighboring residues, plus additional information. When only sequence information was used, prediction performance was highest us...