Groundwater time series

Hey guys

After being done with Runoff time series, it is inevitable challenge the groundwater time series. As I mentioned before (1, 2, 3), I think coastal aquifers have very significant affect on the lake itself. Their flux to the lake or even the salinity intrusion from lake to the aquifer are the consequences of this interaction.

Most of the researchers used to handle this interaction with Darcy's law (Darcy, 1856), while others try to control it by the chemical components that transfers between lake and aquifer. Such methods are useless for me cause I don't have any observation data on chemical components and/or hydraulic conductivity between lake and aquifers. Thus, I tried to solve it by simplifying the problem.

Figure 1 shows the potential elevation of the aquifer in comparison with lake water level. As a potential depth of influx/drainage it can be used as the potential depth which would affect the lake surface at most correlated wells near the shore line or from underneath.

Fig.1. Schematic of potential influx/outflow between lake and coastal aquifers

For this, in the first place an iso-correlation map between lake and coastal aquifer will be generated. In the next stage an iso-correlation map with different lag times (Cross-correlation) will be investigated also. Then, proper wells (i.e. most correlated ones) will be selected and iso-height maps of water level in aquifers will be recognized. Then the potential depth between lake and aquifer will be calculated by subtracting the Lake water level from wells' water level.

This values could be positive or negative which defines the availability of GW in flux/draining the lake, which would be very handy in my calculation. In addition, I will not loose site of depth while using a semi-water budget or mass balance equation while all variables have dimensions in length.

Please do not hesitate to share your point of view with me

Babak