Support System Design for Deep Coal Mining by Numerical Modeling and a Case Study

Importance of numerical modeling in mine design gained pace after modern way of approach took birth through many variants. Methods such as Continuum and Discontinuum emerge as most effective in resolving certain issues. Cases such as heterogeneity, prevailing boundary conditions in continuum case and presence of discontinuities in other have provided solutions for many causes. A suitable support system is designed for deep virgin coal mining blocks of Godavari Valley Coalfield in India. This analysis is carried out using numerical modeling technique. The results show that the stresses at an angle to the level galleries are adverse. The level gallery/dip-raise may be oriented at 200 to 400 to reduce roof problems.

Designing A New Suitable Support System for Deep Virgin Coal Mining Blocks of Godavari Valley Coalfield

Importance of support system in mine design gained pace after modern way of approach took birth through many variants. A suitable support system is designed for deep virgin coal mining blocks of Godavari valley coalfield in India. This is achieved by measuring stress state by sophisticated method followed by geotechnical hazard mapping for identifying potential roof instability, predict hazards in advance and integrating the above parameters for analyze effects on stress due to different mining geometries by using numerical modelling technique. The three-dimensional numerical analysis study pours much light on effects causing instability than the 2D program. The results show that the stresses at an angle to the Level galleries are adverse. The level gallery/dip-raise may be oriented at 200 to 400 to reduce roof problems.

Lithological variations and drainage evolution in a marginal region: A case study from Chandrapur block of the Pranhita-Godavari Basin, Central India.

Field mapping and interpretation of sedimentary structures in Gojoli region of Chandrapur block along the eastern margin of the Pranhita-Godavari valley suggests westward flowing channels during the Neoproterozoic. Present channels in this part of Chandrapur block are south/ southeast flowing and possess clear imprints of the basin-margin faults and lineaments. Drainage parameters in its Neoproterozoic stratigraphic sequence suggest impervious substrates probably due to high degree of consolidation and filling of rock-fractures by hydrothermal solution activities. However, the same for the Gondwana’s friable sandstone (towards western region) and Archaean gneisses (in the eastern part) has been observed consistent probably due to its porous nature and development of thick weathering profile. The affiliation of drainage with tectonism is therefore, from Neoproterozoic to Cenozoic era within contrasting lithology, was out of synchronization intermittently.

Tree Species Composition and Forest Stratification along the Gradients in the Dry Deciduous Forests of Godavari Valley, Telangana, India

It is important to understand the tree species composition, abundance, species diversity and stratification in tropical dry deciduous forests that are under threat. A quadrat study was attempted in the dry deciduous forests along the ecological gradients in the Godavari Valley of northern Telangana, India. The study records the presence of 110 flowering plant taxa belonging to 82 genera and 37 families in 120 sampled plots, and there was enumeration of 15,192 individuals of ≥10 cm girth at breast height. Tectona grandis (teak) is the principal forest cover component in the region, which often formed pure stands in Adilabad and, to some extent, in Nizamabad districts. Further down to the Warangal district, teak was gradually replaced by Terminalia alata. Twenty tree species were found dominant at one place to the other, and the top 10 dominant taxa have shared nearly 41% of the total density of the forest cover. The tree relative density ranged from 0.007% to 20.84%. The values of Importance Value Index were between 0.245 (12 spp. including some exotics) and 32.6 (teak). These baseline data help to know the change detection along the gradients in the tropical forest ecosystem of a major river valley in the region and the drivers of change