in this study, a hybrid intelligent model has been designed to predict groundwater inflow to a mine pit during its advance. novel hybrid method coupling artificial neural network (ann) with genetic algorithm (ga) called ann-ga, was utilised. ratios of pit depth to aquifer thickness, pit bottom radius to its top radius, inverse of pit advance time and the hydraulic head (hh) in the observation w...

[1] Prediction of flow through variably saturated porous media requires accurate knowledge of the soil hydraulic properties, namely the water retention function (WRF) and the hydraulic conductivity function (HCF). Unfortunately, direct measurement of the HCF is time consuming and expensive. In this study, we derive a simple closed-form equation that predicts the saturated hydraulic conductivity...

Common heat transfer fluids such as water, ethylene glycol, and engine oil have limited heat transfer capabilities due to their low heat transfer properties. Nanofluids are suspensions of nanoparticles in base fluids, a new challenge for thermal sciences provided by nanotechnology. In this study, we are to optimize and report the effects of various parameters such as the ratio of the thermal co...

Hayashi, M. and Quinton, W. L. 2004. A constant-head well permeameter method for measuring field-saturated hydraulic conductivity above an impermeable layer. Can. J. Soil Sci. 84: 255–264. Hydrologic understanding of mountainous and northern regions of Canada is poor owing to the lack of critical field data such as hydraulic conductivity. A portable field instrument, the Guelph permeameter (GP)...

An iterative geostatistical inverse approach is developed to estimate conditional effective unsaturated hydraulic conductivity parameters, soil-water pressure head, and degree of saturation in heterogeneous vadose zones. This approach is similar to the classical cokriging technique, and it uses a linear estimator that depends on covariances and cross covariances of unsaturated hydraulic paramet...

abstract saturated hydraulic conductivity (ks) is one of the most important physical properties of soils which is expensive and time-consuming to directly measure. hence, indirect methods, such as pedotransfer functions (ptfs), were developed to predict the ks. previous studies showed that most of the ptfs common in the literature can not suitably predict the ks. hence, this study was conducted...

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Measurement uncertainty is a key hindrance to the quanti_cation of water ~uxes at all scales of investigation[ Predictions of soil!water ~ux rely on accurate or representative measurements of hydraulic gradients and _eld! state hydraulic conductivity[ We quanti_ed the potential magnitude of errors associated with the parameters and variables used directly and indirectly within the DarcyÐBucking...