VARIATION IN THERMODYNAMIC STRUCTURE OF PBL AS A MONSOON DEPRESSION PASSES——A CASE STUDY

Vertical profiles of virtual potential temperature,specific humidity,temperature at saturation points,moist staticenergies along with parcel condensing levels using minisonde data are analysed for two stations through which a mon-soon depression passed.The height of the cloud base came down as low as 910 hPa level from 835 hPa.Equivalent po-tential temperature increased in the vertical profile as well as in the conserved variable diagram as the depression ap-proached the station.Parcel condensing levels showed clearly inversion top and cloud top but not in all cases.Moist stat-ic energy showed an increase upto 10 kJ/kg as the depression approached.     

Analysis of Beams on Pasternak Foundation Using Quintic Displacement Functions

Geotechnical and Geological Engineering - Beams supported by elastic foundations one of the complex soil-structure interaction problems and analysis carried out using the concept of “beam on...     

Investigation of Environmental-Concern Trace Elements in Coal and Their Combustion Residues from Thermal Power Plants in Eastern India

Natural Resources Research - The bituminous-to-sub-bituminous quality feed coals of thermal power plants contain several environmental-concern trace elements (As, Se, Ni, Cr, Zn, Pb, Cu, Cd, Co and...     

A non-stationary geostatistical approach to multigaussian kriging for local reserve estimation

Multigaussian kriging technique has many applications in mining, soil science, environmental science and other fields. Particularly, in the local reserve estimation of a mineral deposit, multigaussian kriging is employed to derive panel-wise tonnages by predicting conditional probability of block grades. Additionally, integration of a suitable change of support model is also required to estimate the functions of the variables with larger support than that of the samples. However, under the assumption of strict stationarity, the grade distributions and important recovery functions are estimated by multigaussian kriging using samples within a supposedly spatial homogeneous domain. Conventionally, the underlying random function model is required to be stationary in order to carry out the inference on ore grade distribution and relevant statistics. In reality, conventional stationary model often fails to represent complicated geological structure. Traditionally, the simple stationary model neither considers the obvious changes in local means and variances, nor is it able to replicate spatial continuity of the deposit and hence produces unreliable outcomes. This study deals with the theoretical design of a non-stationary multigaussian kriging model allowing change of support and its application in the mineral reserve estimation scenario. Local multivariate distributions are assumed here to be strictly stationary in the neighborhood of the panels. The local cumulative distribution function and related statistics with respect to the panels are estimated using a distance kernel approach. A rigorous investigation through simulation experiments is performed to analyze the relevance of the developed model followed by a case study on a copper deposit.