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pip install baseflow
importbaseflowimportpandasaspddf=pd.read_csv(baseflow.example,index_col=0)df_sta=pd.DataFrame(data=[[30,-28.4,659], [-109.4,33,1611]],index=df.columns,columns=['lon','lat','area'])dfs,df_kge=baseflow.separation(df,df_sta,return_kge=True)print(f'Best Method:\n{df_kge.idxmax(axis=1)}')
The directory structure of baseflow looks like this:
├── methods <- implements for 12 baseflow separation methods│├── recession_analysis <- tools for estimating recession coefficiency│├── param_estimate <- backward and calibration approaches to estimate other parameters│├── comparison <- an evaluation criterion to comparison different methods│├── requirements.txt <- File for installing baseflow dependencies│└── README.md
- Implement the nolinear reservoir assumption from thepaper
- Employ a time-varing recession coefficiency for baseflow separation
- The current version only applies to the daily scale
- The package needs to be updated to support hourly baseflow separation
- Xie, J., Liu, X., Jasechko, S., Berghuijs, W. R., Wang, K., Liu, C., Reichstein, M., Jung, M., & Koirala, S. (2024). Majority of global river flow sustained by groundwater. Nature Geoscience, 17(8), 770–777.https://doi.org/10.1038/s41561-024-01483-5
- Xie, J., Liu, X., Wang, K., Yang, T., Liang, K., & Liu, C. (2020). Evaluation of typical methods for baseflow separation in the contiguous United States. Journal of Hydrology, 583, 124628.https://doi.org/10.1016/j.jhydrol.2020.124628
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12 baseflow separation methods with automatic parameter calibration
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