Modelling Landcover Change with a CA-Markov Model for the Siliana Hydrological Catchment (Northwestern Tunisia)

Simulating future land cover change is one of the major challenges for scientists, decision makers, and local authorities in terms of data, methods and models that should be used to create a sustainable land cover planning process. The study aims to evaluate the past land cover changes from 1990 to 2019 in Siliana catchment in Northwest Tunisia and predict the situation to 2030 and 2050

Validation of Expert and Citizen Science-based Smartphone Discharge Data

In the last decade, new ways of environmental monitoring have been emerging with the development of smart technology. Among them, citizen science has been introduced as a novel framework to generate environmental knowledge

Rainfall forecasting over a Mediterranean catchment using Empirical Statistical Downscaling techniques

Tackling the threats of climate change has become a global challenge. Rainfall in the Mediterranean region is characterized by a large spatiotemporal variability. In this research study, an Empirical Statistical Downscaling (ESD) approach was used to generate regression-based climate projections for the horizon 2100 at the level of six main climate stations in the Medjerda catchment in Tunisi

Assessing the Transferability of a Conceptual Rainfall Runoff Model within the Medjerda catchment (Tunisia)

Predicting climate change impacts on hydrological fluxes in ungauged basins remains a challenging task. In this study, we investigated the transferability of a modified version of a simple conceptual and spatially distributed hydrological model available within the ATHYS plattform to simulate hydrological behaviour within catcthments of a large South Mediterranean transboundary basin of the Medjerda bordering between Tunisia and Algeria, and characterized by contrasting climatic and physiographic condition