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Implementing break point observation data of water leve


D R Sena
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Dear All,

I am running a transient groundwater problem with the following configuration:

1. A river that has a transient water level from a higher value that terminates at Sea.( assumed -11 m)

2. The boundary nodes read transient water level head derived from observed pre- and post-monsoon observed water level ( The intermediary data were interpolated linearly on the desired time step.

3. Recharge defined based on a transient series equation of temporal rainfall.

I am having water level data collected in an array of wells in my study area in the month JUne and Oct . I am running a daily simulation, where in I tried once giving two break point data corresponding to the dates mentioned. When I ran the simulation I got in .os_ file as:

0.000000 3.580000 1 hed1 31.00000 --- ( Observed data line first obs date in June)

0.000000 6.380000 1 hed2 167.0000 (Observed data line second obs date in Oct)

0.000000 0.000000 1 no_hed3 0.2000000 ( 0.2 day is time step)

0.000000 0.000000 1 no_hed4 0.4000000

0.000000 0.000000 1 no_hed5 0.6000000

0.000000 0.000000 1 no_hed6 0.8000000

0.000000 0.000000 1 no_hed7 1.000000

... and so on

0.000000 0.000000 1 no_hed155 30.60000

0.000000 0.000000 1 no_hed156 30.80000

0.000000 0.000000 1 no_hed157 31.00000 ( The date of observed data first one not read )

0.000000 0.000000 1 no_hed158 31.20000

0.000000 0.000000 1 no_hed159 31.40000

.. so on

0.000000 0.000000 1 no_hed836 166.8000

0.000000 0.000000 1 no_hed837 167.0000 ( The date of Observed data second one not read)

0.000000 0.000000 1 no_hed838 167.2000

0.000000 0.000000 1 no_hed839 167.4000

I made a lot of trial but guessed that the missing data in between may be required so I tried a linear interpolation of data in the missing dates and gave it as observed data for the whole time series concurrent to my simulation. The simulation read correctly the values as I gave and the .os_ file read as follows ( made the correction to 1 day time step)

0.000000 3.576000 1 hed1 0.000000 (Observed data line first obs date)

3.420694 3.609000 1 hed2 1.000000

3.547971 3.641000 1 hed3 2.000000

3.679075 3.674000 1 hed4 3.000000

3.814485 3.707000 1 hed5 4.000000

3.954180 3.740000 1 hed6 5.000000

4.097085 3.773000 1 hed7 6.000000

4.243711 3.805000 1 hed8 7.000000

so on....

9.843607 6.449000 1 hed164 163.0000

9.817718 6.434000 1 hed165 164.0000

9.792249 6.418000 1 hed166 165.0000

9.767187 6.403000 1 hed167 166.0000

9.742520 6.388000 1 hed168 167.0000 (Observed data line second obs date)

9.718239 6.373000 1 hed169 168.0000

9.694332 6.357000 1 hed170 169.0000

9.670789 6.342000 1 hed171 170.0000

Now my problem is after running the simulation ( calibration) it assumes the water table which is unrealistically interpolated to a fictitious water level to maintain continuity and force the domain parameters adjust accordingly.

I would rather expect GMS to calibrate for me for the desired dates observed value and run normally for the dates of no observation. Can anybody trouble shoot this problem?

Sorry for to put you in inconvenience with such a big posting.

thanks

DR Sena

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You should not have to put in the "missing data". GMS creates "fake" observations at the output times of the model so that you can see the computed values for the observations points at those times.

It is not entirely clear to me what is not working in your first case.

What did you mean when you wrote this above:

0.000000 0.000000 1 no_hed157 31.00000 ( The date of observed data first one not read )

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