Tropentag, September 10 - 12, 2025, Bonn "Reconciling land system changes with planetary health"

Assessing the hydrological impacts of land use/cover change in the Ouémé river basin, West Africa

¹Kwame Nkrumah University of Science and Technology, Dept. of Civil Engineering (WASCAL), Ghana
²Technical University of Munich, Chair of Hydrology and River Basin Management, Germany
³Kwame Nkrumah University of Science and Technology (KNUST), Dept. of Agricultural and Biosystems Engineering, Ghana

Abstract

Population growth, unsustainable land-use practices, and climate change pose significant challenges to agri-food systems. This study examined the relationships between land use/cover change and changes in water balance within the Ouémé River Basin, which are essential for developing sustainable agroecological strategies. LULC was categorised from Landsat imagery for 1986, 2000, 2015 and 2023 using a supervised classification in Google Earth Engine into five main classes: Forests, Savannah, Settlements/bare lands, Water bodies, and Agricultural lands. These historical maps and climate data from 1998 to 2016 were used to simulate water balance components, including surface runoff, lateral flow, baseflow, aquifer recharge, and actual evapotranspiration, using the Soil and Water Assessment Tool (SWAT). The SWAT model was calibrated using observed discharge data from 1998 to 2008. The relationship between the LULC types and average annual water balance components values at the entire basin scale was then analysed using Partial Least Squares regression. Between 1986 and 2023, Forests and Savannahs declined by 4 % and 24 %, respectively, while Agricultural land and Settlements/bare lands expanded by 28 % and 1 %, respectively. These changes were associated with an increase in surface runoff (32 mm/year) and reductions in baseflow (5 mm/year), lateral flow (6 mm/year), aquifer recharge (22 mm/year) and actual evapotranspiration (6 mm/year). These LULC change trends might increase flood risks, limit water availability, and threaten agricultural productivity. The findings underscore the urgency of promoting agroecological practices that integrate sustainable land management and climate adaptation to ensure resilient agricultural systems and environmental sustainability.

Keywords: Google Earth Engine, hydrological changes, Landsat, Ouémé River Basin, partial least squares regression, SWAT, West Africa

Contact Address: Ernestina Annan, Kwame Nkrumah University of Science and Technology, Dept. of Civil Engineering (WASCAL), 65a Cote de Casa, Accra, Ghana, e-mail: ernestinaannan39gmail.com