@@ -22,79 +22,30 @@ You can install the latest version with the following command:
2222
2323 pip install welltestpy
2424
25+ Or from conda
2526
26- ## Documentation for welltestpy
27-
28- You can find the documentation under [ https://welltestpy.readthedocs.io ] [ doc_link ] .
29-
30-
31- ### Example 1: A campaign containing a pumping test
32-
33- In the following, we will take a look at an artificial pumping test campaign,
34- that is stored in a file called ` Cmp_UFZ-campaign.cmp ` .
35-
36- ``` python
37- import welltestpy as wtp
38-
39- # load the campaign
40- campaign = wtp.load_campaign(" Cmp_UFZ-campaign.cmp" )
41-
42- # plot the well constellation and a test overview
43- campaign.plot_wells()
44- campaign.plot()
45- ```
46-
47- #### This will give the following plots:
48-
49- <p align =" center " >
50- <img src =" https://raw.githubusercontent.com/GeoStat-Framework/welltestpy/main/docs/source/pics/01_wells.png " alt =" Wells " width =" 600px " />
51- </p >
52-
53- <p align =" center " >
54- <img src =" https://raw.githubusercontent.com/GeoStat-Framework/welltestpy/main/docs/source/pics/01_pumptest.png " alt =" Pumptest " width =" 600px " />
55- </p >
27+ conda install -c conda-forge welltestpy
5628
5729
58- ### Example 2: Estimate transmissivity and storativity
59-
60- The pumping test from example 1 can now be loaded and used to estimate the values for
61- transmissivity and storativity.
62-
63- ``` python
64- import welltestpy as wtp
65-
66- campaign = wtp.load_campaign(" Cmp_UFZ-campaign.cmp" )
67- estimation = wtp.estimate.Theis(" Estimate_theis" , campaign, generate = True )
68- estimation.run()
69- ```
70-
71- #### This will give the following plots:
72-
73- Type-Curve fitting:
74-
75- <p align =" center " >
76- <img src =" https://raw.githubusercontent.com/GeoStat-Framework/welltestpy/main/docs/source/pics/02_fit.png " alt =" Fit " width =" 600px " />
77- </p >
30+ ## Documentation for welltestpy
7831
79- Evolution of parameter estimation with SCE:
32+ You can find the documentation including tutorials and examples under
33+ https://welltestpy.readthedocs.io .
8034
81- <p align =" center " >
82- <img src =" https://raw.githubusercontent.com/GeoStat-Framework/welltestpy/main/docs/source/pics/02_paratrace.png " alt =" Trace " width =" 600px " />
83- </p >
8435
85- Scatterplot of paramter distribution during estimation:
36+ ## Citing welltestpy
8637
87- <p align =" center " >
88- <img src =" https://raw.githubusercontent.com/GeoStat-Framework/welltestpy/main/docs/source/pics/02_parainter.png " alt =" Interaction " width =" 600px " />
89- </p >
38+ If you are using this package you can cite our
39+ [ Groundwater publication] ( https://doi.org/10.1111/gwat.13121 ) by:
9040
91- The results are:
41+ > Müller, S., Leven, C., Dietrich, P., Attinger, S. and Zech, A. (2021):
42+ > How to Find Aquifer Statistics Utilizing Pumping Tests? Two Field Studies Using welltestpy.
43+ > Groundwater, https://doi.org/10.1111/gwat.13121
9244
93- * ` ln(T) = -9.22 ` which is equivalent to ` T = 0.99 * 10^-4 m^2/s `
94- * ` ln(S) = -9.10 ` which is equivalent to ` S = 1.11 * 10^-4 `
45+ To cite the code, please visit the [ Zenodo page] ( https://doi.org/10.5281/zenodo.1229051 ) .
9546
9647
97- ### Provided Subpackages
48+ ## Provided Subpackages
9849
9950``` python
10051welltestpy.data # Subpackage to handle data from field campaigns
@@ -108,7 +59,6 @@ welltestpy.tools # Subpackage with tools for plotting and triagulation
10859
10960- [ NumPy >= 1.14.5] ( https://www.numpy.org )
11061- [ SciPy >= 1.1.0] ( https://www.scipy.org )
111- - [ Pandas >= 0.23.2] ( https://pandas.pydata.org )
11262- [ AnaFlow >= 1.0.0] ( https://github.com/GeoStat-Framework/AnaFlow )
11363- [ SpotPy >= 1.5.0] ( https://github.com/thouska/spotpy )
11464- [ Matplotlib >= 3.0.0] ( https://matplotlib.org )
@@ -121,7 +71,4 @@ You can contact us via <info@geostat-framework.org>.
12171
12272## License
12373
124- [ MIT] [ license_link ] © 2018-2021
125-
126- [ license_link ] : https://github.com/GeoStat-Framework/welltestpy/blob/main/LICENSE
127- [ doc_link ] : https://welltestpy.readthedocs.io
74+ [ MIT] ( https://github.com/GeoStat-Framework/welltestpy/blob/main/LICENSE )
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