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Cédric GOHOUEDE

Specialization : Numerical Modeling and Simulation (NMS)

Thesis Topic: Modeling of Daily Flows of the Ouémé Watershed at Savè Using Stochastic Differential Equations.

Current Position : PhD Candidate in Computational Mathematics, Juja, Kenya

RECENT PUBLICATIONS:

  • Modelling daily river discharge using stochastic differential equation in Ouémé at Savè Basin, Benin, West Africa.

    • Description: This work investigates the uncertainties in the rainfall-runoff process using a stochastic approach based on the deterministic ModHyPMA model, incorporating Gaussian white noise and solving the associated Fokker-Planck equation numerically to improve discharge simulations in the Ouémé at Savè Basin, demonstrating better performance metrics compared to the deterministic model.
    • Link: https://doi.org/10.5897/IJWREE2021.1025
  • Conservation agriculture compared to conventional tillage improves the trade-off between ground-dwelling arthropod trophic groups for natural pest regulation in cotton cropping systems.

    • Description: This study uses statistics to demonstrate that conservation agriculture, characterized by minimal soil disturbance, crop residue cover, and crop rotation, significantly enhances soil macrofauna biodiversity, herbivore predation rates, and predator abundance compared to conventional tillage, highlighting its potential to improve pest regulation and soil sustainability in cotton-based cropping systems.
    • Link: https://doi.org/10.1016/j.gecco.2024.e03223