Titlebook: ;

Gourmet

,Integrated Approach for Groundwater Recharge Assessment—A Review,ues commonly consider the various thematic maps like slope, lithology, geomorphology, land use land cover, soil, drainage and lineament maps for integrated overlay analysis. These layers will be integrated in GIS environment, and knowledge-based rankings will be assigned to each part of individual t

绝食

斜谷

ANN Modeling of Groundwater Development for Irrigation,ance of both the ANN training algorithms in predicting maximum depth to water table over the study area was found to be almost similarly good. However, the performance of the LM algorithm was found slightly superior to that of the BR algorithm as well as the BP algorithm.

和平主义者

Assessment of Groundwater Quality with Special Reference to Arsenic in Ballia District, Uttar Pradeg the physico-chemical parameters of groundwater. The chemical analysis results revealed that calcium is found to be the dominant cation followed by Mg., Na. and K.. HCO. is found to be a major anion followed by Cl. and SO.. The scatter diagram between (Ca. + Mg.) versus Tz. for groundwater shows a

时间等

Assessment of Hydraulic and Geoelectric Parameters of the Aquifers and Their Relationship Using Verfrom 19.5 m (VES 19) to 149.5 m (VES 15). The average values of Porosity, Hydraulic Conductivity, and Transmissivity are 28.4%, 0.23 m/day, and 15.9 m./day, respectively. The correlation of hydraulic conductivity (.) with the porosity (.), transmissivity (.), longitudinal unit conductance (S), and a

云状

Performance Monitoring and Re-design of a Traditional Household Filter Unit for Simultaneous Removar contains Fe(II) in the range of 0.11–0.15 mg/L. However, the F. in the groundwater varies in the range of 0.5–2.5 mg/L while filtered water contains F. in the range of 0.8–2.4 mg/L (much above the permissible limit of 1.0 mg/L). The filter unit is effective in removing Fe(II) but it fails to remov

cataract

Applications of Cascade Feed Forward Neural Network for Modelling of Coagulant Dose in a Drinking W cascade feed forward neural network (CFNN) and feed forward neural network (FFNN) coagulant models were developed. Additionally, the best performing Levenberg–Marquardt (LM) and Bayesian regularization (BR) training functions among resilient back propagation (RBP), one step secant (OSS), conjugate

奴才

muffler

Assessment of Groundwater Quality of the Aquifer Adjacent to River Bharalu in Guwahati City, Assam, of the Bharalu river basin with some variation in the middle course. This variation may be due to the presence of point source contamination (domestic and municipal wastewater), non-point source contamination (runoff from refineries, construction sites), as well as natural processes (weathering of

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