Detecting hydrological connectivity using causal inference from time series: synthetic and real karstic case studies

HIGHLIGHTS

• who: Hydrol. Earth Syst. Sci. et al. from the Life Institute, Universitu00e9 catholique Louvain, Louvain-la-Neuve, Belgium, Universitu00e9 La Rochelle and CNRS (UMR7266), La Rochelle, France have published the research: Detecting hydrological connectivity using causal inference from time series: synthetic and real karstic case studies, in the Journal: (JOURNAL) of 22/04/2022
• what: The authors investigate the potential of causal inference methods (CIMs) to reveal hydrological connections from time series. The aim of the differenced data is to simply illustrate the effect and value of removing past dependencies (auto-correlation, seasonality) on the . . .
  

   

  

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