ARTICLE
Copulas approach for modeling the stochastic dependence of three physicochemical components of groundwater in the province of Sissili (Burkina Faso)
- African Journal of Applied Statistics , volume 11 (2) : 1613-1627
Lien de l'article :
https://dx.doi.org/10.16929/ajas/2024.1613.284
Discipline :
Mathématiques
Auteur(s) :
Fabrice Ouoba ; Vini Yves Bernadin Loyara ; Sibiri Narcisse Dolemweogo and Diakarya Barro
Auteur(s) tagués :
DOLEMWEOGO Sibiri Narcisse
Renseignée par : DOLEMWEOGO Sibiri Narcisse
Résumé
This study aims to model the stochastic dependence between potassium (K+), iron (Fe2+), and ammonium (NH+ 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.