Examples ======== Below you can find examples of how Pastas models are used for the analysis of groundwater levels. Examples in the form of Python scripts can also be found on the `examples directory on GitHub `_. .. toctree:: :maxdepth: 4 :hidden: :glob: prepare_timeseries basic_model fix_parameters calibration_options adding_rivers adding_wells multiple_wells adding_trends changing_responses threshold_non_linear non_linear_recharge recharge_estimation snowmodel comparing_models diagnostic_checking timestep_analysis uncertainty uncertainty_emcee standardized_groundwater_index signatures Basics ------ `Preprocessing user-provided time series`_ `A basic model`_ `Fixating parameters while fitting`_ `Calibration`_ `Modeling with different timesteps`_ .. _Preprocessing user-provided time series: prepare_timeseries.ipynb .. _A basic model: basic_model.ipynb .. _Fixating parameters while fitting: fix_parameters.ipynb .. _Calibration: calibration_options.ipynb .. _Modeling with different timesteps: modeling_timestep.ipynb Stressmodels ------------ `Adding surface water levels`_ `Adding pumping wells`_ `Adding multiple wells`_ `Adding trends`_ `Changing response functions`_ .. _Adding surface water levels: adding_rivers.ipynb .. _Adding pumping wells: adding_wells.ipynb .. _Adding multiple wells: multiple_wells.ipynb .. _Adding trends: adding_trends.ipynb .. _Changing response functions: changing_responses.ipynb Non-linear (Recharge) Models ~~~~~~~~~~~~~~~~~~~~~~~~~~~~ `Threshold non-linearities`_ `Non-linear recharge models`_ `Estimating recharge`_ `Modeling snow`_ .. _Threshold non-linearities: threshold_non_linear.ipynb .. _Non-linear recharge models: non_linear_recharge.ipynb .. _Estimating recharge: recharge_estimation.ipynb .. _Modeling snow: snowmodel.ipynb Model Evaluation ---------------- `Comparing models visually`_ `Diagnostic checking`_ `Reducing autocorrelation`_ `Uncertainty quantification`_ `MCMC uncertainty`_ .. _Comparing models visually: comparing_models.ipynb .. _Diagnostic checking: diagnostic_checking.ipynb .. _`Reducing autocorrelation`: timestep_analysis.ipynb .. _Uncertainty quantification: uncertainty.ipynb .. _MCMC uncertainty: uncertainty_emcee.ipynb Applications ------------ `Standardized Groundwater Index`_ `Groundwater signatures`_ .. _Standardized Groundwater Index: standardized_groundwater_index.ipynb .. _Groundwater signatures: signatures.ipynb STOWA Manual (Dutch only) ------------------------- In 2021 the STOWA published a manual on time series analysis. This manual has some general notebooks on preprocessing data, model structure, calibration and assessment with Pastas. There are also more case-specific notebooks available on determining stresses, characteristics, system analysis and predicting. The notebooks (currently Dutch only) can be found `here `_.