Détails Publication
Copulas approach for modeling the stochastic dependence of three physico- chemical components of groundwater in the province of Sissili (Burkina Faso),
Lien de l'article: https://dx.doi.org/10.16929/ajas/2024.1577.283
Discipline: Statistiques et Probabilités
Auteur(s): Fabrice Ouoba, Vini Yves Bernadin Loyara, Sibiri Narcisse Dolemweogo and Diakarya Barro
Auteur(s) tagués:
LOYARA Vini Yves Bernadin
Renseignée par : LOYARA Vini Yves Bernadin
Résumé
This study aims to model the stochastic dependence between potassium (K+), iron (F e2+), and ammonium (N H+4 ) concentrations in groundwater from the
Sissili province in Burkina Faso. To achieve this, we rely on the Student, Frank, and H ¨usler–Reiss copulas to capture the full range of hydro-geochemical dependence structures. This statistical approach provides a reliable, flexible, and robust tool for analyzing environmental characteristics while supporting the sustainable management of water resources
Mots-clés
Copulas; stochastic dependence; groundwater; modeling