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I am working on interpolating groundwater time-series data for quite a challenging hydrogeological environment. The area consists mostly of limestone and the groundwater levels experience massive fluctuations. The time-series is irregular and sparse for the earlier years, in addition to missing about a decade worth of data during the 2000s. Extensive groundwater pumping occurs in the area; from 2 quarries as well as from drinking water extraction.
I have tried using both Hantush WellModel and looping multiple wells in an stress-model, the second approach worked best. The highest R2 values I get are in the mid 0.60 range. I have tried using different response functions for the recharge, as well as applying linear trend where applicable, but with little success. I am trying to see if I can find slightly better pumping data for the earlier years, where I am currently using mean values, but I suspect this won't have a large effect. I am currently trying to test a non-linear recharge model to see if this helps.
I was wondering if there are any additional factors I can take into account to improve my results?
I am attaching a simulated plot where I have used a gamma response function for the recharge, looped multiple wells and added a linear trend for 1985-1995.
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Hello!
I am working on interpolating groundwater time-series data for quite a challenging hydrogeological environment. The area consists mostly of limestone and the groundwater levels experience massive fluctuations. The time-series is irregular and sparse for the earlier years, in addition to missing about a decade worth of data during the 2000s. Extensive groundwater pumping occurs in the area; from 2 quarries as well as from drinking water extraction.
I have tried using both Hantush WellModel and looping multiple wells in an stress-model, the second approach worked best. The highest R2 values I get are in the mid 0.60 range. I have tried using different response functions for the recharge, as well as applying linear trend where applicable, but with little success. I am trying to see if I can find slightly better pumping data for the earlier years, where I am currently using mean values, but I suspect this won't have a large effect. I am currently trying to test a non-linear recharge model to see if this helps.
I was wondering if there are any additional factors I can take into account to improve my results?
I am attaching a simulated plot where I have used a gamma response function for the recharge, looped multiple wells and added a linear trend for 1985-1995.
All help is very much appreciated!
![Screenshot 2021-03-18 at 16 49 43](https://user-images.githubusercontent.com/80254088/111656158-8fe2fb80-880a-11eb-8e56-bfd0740e8cb9.png)
![Screenshot 2021-03-18 at 16 49 23](https://user-images.githubusercontent.com/80254088/111656148-8ce80b00-880a-11eb-9372-86091c56d3ec.png)
![Screenshot 2021-03-18 at 16 49 33](https://user-images.githubusercontent.com/80254088/111656155-8e193800-880a-11eb-9fe4-38245dda679c.png)
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