Forty percent of households using tap water reported using a water filter (Table 4).
In the paper [38], this differential equation was used to model a water table profile between two parallel subsurface drains in both homogeneous and heterogeneous soils, and this application was verified by experiment.
In this study we investigate periodically time-variant lower boundary conditions in a one-dimensional soil column with a water table, using numerical solutions of Richards equation.
In this study, data from a water table monitoring network were used to develop an empirical method for predicting water table depth in space and time from a soil map, cumulative rainfall data and long term water table characteristics, in order to optimize irrigation management at regional scale.
A water table map of a 32 ha sugarcane field was generated, using observed water table depth (WTD) data from 36 piezometers monitored from September 2011 to February 2012.
A modified version of the previous model, using the water table as the impermeable lower boundary, is used to evaluate the permeability of the low-permeability stiff clay layer (3.2 × 10− 10 cm2) and permeable sand (7.2 × 10− 7 cm2) beneath it.
The results of the kriging of water table data from the wells that have measurement dates were compared to the co-kriging interpolation using the water table observations that lacked measurement dates as a secondary auxiliary dataset.
Estimates were obtained over two years (November 2011 October 2013) using the water table fluctuation method and the White method, respectively.
These estimates were compared with recharge estimates from monitored water levels in 29 dug wells using the water table fluctuation method.
Estimation of ETg using diurnal water table fluctuations, i.e. the White method, is considered simple and straightforward, but it was seldom applied in desert areas.
