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Singh R.K.,ICAR Research Complex for NEH Region | Panda R.K.,Indian Institute of Technology Kharagpur | Satapathy K.K.,National Institute of Research on Jute and Allied Fibre Technology | Ngachan S.V.,ICAR Research Complex for NEH Region
Water Resources Management

The Water Erosion Prediction Project (WEPP) watershed model was calibrated and validated for a hilly watershed treated with graded bunding and water-harvesting tank in high rainfall condition of eastern Himalayan range in India. The performance of the model for the treated watershed was unacceptable with percent deviation of -45. 81 and -38. 35 respectively for runoff and sediment yield simulations when calibrated parameter values for the nearby untreated watershed were used. This was possibly due to differences in soil properties and average land slope. When soil parameters were calibrated for the treated watershed, the model performance improved remarkably. During calibration, the model simulated surface runoff and sediment yield with percent deviations equal to +6. 24 and +9. 02, and Nash-Sutcliffe simulation coefficients equal to 0. 85 and 0. 81, respectively. During validation period, the model simulated runoff and sediment yield with percent deviations equal to +8. 56 and +9. 36, and Nash-Sutcliffe simulation coefficients equal to 0. 81 and 0. 80, respectively. The model tended to slightly under-predict runoff and sediment yield of higher magnitudes. The model performance was quite sensitive to soil parameters namely, rill erodibility, interrill erodibility, hydraulic conductivity, critical shear stress and Manning's roughness coefficient with varying levels. The WEPP model picked up the hydrology associated with bund and water-harvesting tank, and simulated runoff and sediment yield well with overall deviations within ±10% and Nash-Sutcliffe simulation coefficients >0. 80. Simulation results indicate that in high slope and high rainfall conditions of eastern Himalayan region of India where vegetative measures are not adequate to restrict soil loss within the permissible limit, the WEPP model can be applied to formulate structure-based management strategies to control soil loss and to develop water resources. © 2011 Springer Science+Business Media B.V. Source

Debnatha S.,National Institute of Research on Jute and Allied Fibre Technology | Madhusoothanan M.,Anna University
Indian Journal of Fibre and Textile Research

Thermal resistance and air permeability of needle-punched nonwoven fabric made from jute and polypropylene blends have been studied using the Box and Behnken factorial design to observe the effect of fabric weight, needling density and blend proportion on thickness, thermal resistance, specific thermal resistance, air permeability and sectional air permeability. Correlation matrix and cluster analysis have also been used to understand the relationship and grouping behaviour of the dependent and independent variables. It is observed that the thermal resistance and thickness increase but air permeability and sectional air permeability decrease significantly with the increase in fabric weight at all levels of jute contents. Significant (p < 0.05000) negative correlations r = - 0.67 and r = - 0.61 exist between needling density & thermal resistance and needling density & specific thermal resistance respectively. The highest thermal resistance and specific thermal resistance have been obtained at 430 g/m2 fabric weight and 150 punches/cm2 needling density. All dependent variables are highly influenced by fabric weight (Euclidean distance ~ 560) which is a different cluster identity. Source

Chakraborty S.,Ramakrishna Mission Vivekananda University | Weindorf D.C.,Texas Tech University | Li B.,Louisiana State University | Ali M.N.,Ramakrishna Mission Vivekananda University | And 2 more authors.
Environmental Pollution

This pilot study compared penalized spline regression (PSR) and random forest (RF) regression using visible and near-infrared diffuse reflectance spectroscopy (VisNIR DRS) derived spectra of 164 petroleum contaminated soils after two different spectral pretreatments [first derivative (FD) and standard normal variate (SNV) followed by detrending] for rapid quantification of soil petroleum contamination. Additionally, a new analytical approach was proposed for the recovery of the pure spectral and concentration profiles of n-hexane present in the unresolved mixture of petroleum contaminated soils using multivariate curve resolution alternating least squares (MCR-ALS). The PSR model using FD spectra (r2 = 0.87, RMSE = 0.580 log10 mg kg-1, and residual prediction deviation = 2.78) outperformed all other models tested. Quantitative results obtained by MCR-ALS for n-hexane in presence of interferences (r2 = 0.65 and RMSE 0.261 log10 mg kg-1) were comparable to those obtained using FD (PSR) model. Furthermore, MCR ALS was able to recover pure spectra of n-hexane. ©2014 Elsevier Ltd. All rights reserved. Source

Sengupta S.,National Institute of Research on Jute and Allied Fibre Technology | Sengupta A.,Bengal Engineering and Science University
Indian Journal of Fibre and Textile Research

Electrical resistance of jute canvas, hessian and cross-laid needle-punched nonwoven fabrics has been measured in a laboratory made set-up. Effect of gauge length, voltage, moisture, fibre orientation, temperature, area density has been studied and analysed. It is observed that electrical resistance increases with the increase in gauge length and decreases with the increase in input voltage, moisture, temperature and area density. Jute hessian, canvas and nonwoven fabrics show the resistance value in descending order. Length-wise electrical resistance is higher than width-wise resistance of jute needlepunched nonwoven fabric, whereas in case of canvas and hessian the effect is reversed. Source

Sengupta S.,National Institute of Research on Jute and Allied Fibre Technology
Indian Journal of Fibre and Textile Research

Statistical models, using central composite rotatable experimental design, have been developed to predict sound transmission loss of jute needle-punched non woven fabric based on the three important parameters, namely needling density, depth of needle penetration and mass per unit area. From this model and its contour diagrams, the simultaneous effects of these parameters can be understood and prediction of sound transmission loss can be made knowing the values of independent parameters. The correlation coefficient between observed and predicted values is 0.94. The maximum sound loss is achieved for 14-15 mm depth of needle penetration, whereas the minimum sound loss is observed for area density 650 g/m2 and punch density 180 punches/cm2. Source

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