Author(s): Marangani Juliap
Linked Author(s):
Keywords: Coastal aquifers; Network monitoring
Abstract: The water supply, in many coastal areas with great density of population depends, to a great extent, of underground waters for their economical activities, including agriculture, for this reason a monitoring network for coastal aquifers based in a reduced number of monitoring wells can represent an important alternative, on face of the economic restrictions of a project of this type. Therefore it is necessary to optimize the number of sampling points when choosing suitable sampling times and positions. A method for the design of an optimal network monitoring of a coastal aquifer is proposed here. The objective is to adecuate and use the methodology for groundwater quality network monitoring design, proposed by Herrera-Pinder (1998) that uses the Kalman filter in combination with stochastic simulation of the underground flow and the transport of solutes. The Network design method can be divided into four parts: in the first three parts, no actual data is needed, only the positions and times at which groundwater could be sampling. Therefore, when we refer to sampling positions or sampling times, these are the possible positions of sampling wells and possible sampling times for each one of these wells. This methodology is implemented through a computer program called GWQMonitor that uses ArgusOne as a graphical interface that controls only the first three parts. This methodology does not take into account variable water density, for that reason we will use SEAWAT, developed by Guo and Bennett, (1998); Guo and Langevin, (2002) that is a combination of MODFLOW and MT3DMS (Zheng y Wang, 1999) and it is designed for simulate variable density groundwater flow and solute transport.
Year: 2007