Lake Toho is a small freshwater lake located in southern Benin. From February to June 2024, water quality was assessed using monitoring equipment. The results indicate high levels of nutrients that could cause ecological problems such as eutrophication and the disappearance of aquatic species. Market gardening and riverside agriculture are responsible for this pollution.

The Lake Nokoué and Porto-Novo Lagoon complex represents the most important Lagoon system in Benin. It  Regarding the hydrological regime, a predominance of strictly freshwater taxa was noted during the High water period in Lake Nokoué. Furthermore, this predominance was recorded during both High and Low water periods within the Porto-Novo Lagoon. Thus, the variation of these taxa was found to be more pronounced in Lake Nokoué than in the Porto-Novo Lagoon.

The Lower Ouémé Valley is suitable to rice production thanks to its fertile soils and water resources, though challenged by water management. Two innovative approaches, Smart-Valleys and Intensive Rice Cultivation System, have been implemented to remedy this situation. The combination of these two approaches can improve productivity while conserving water resources. However, their success depends on farmers' ongoing training, access to quality inputs and institutional support.

This study examines how family farms in Kandi, northern Benin, are affected by rainfall flooding. Data from 80 farmers show that smaller farms are most vulnerable due to limited resources, while larger farms are better equipped to cope. Strengthening education, training, credit access, and cooperative support can help small farmers adapt. The research highlights inequalities in vulnerability and the need for inclusive strategies to improve resilience.

This study focus on maps soil loss in the Zou catchment in central Benin to help protect farmland. Using satellite images, rainfall records and soil data, we identified areas where soil lost is most at risk. Most of the basin shows low soil loss risk, while small zones on steep slopes are more exposed. The results show the important for better land care and future work with higher-resolution satellite data.

This study aims to improve river flow prediction in a region where hydrological data are limited, which is essential for water management and flood preparedness. We combined a traditional rainfall–runoff model with data-driven learning methods to correct systematic simulation errors. Results show that the combined approach predicts river flow more accurately than the traditional model alone. These findings highlight a practical way to improve water resource planning in data-limited regions.

Fish farming supports food security in Benin, but traditional methods can be inconsistent. We built a simple system that monitors water conditions, adjusts conditions automatically, and reduces manual work. Tests showed more stable environments and healthier fish. This approach offers an affordable way for small farmers to improve production through easy real-time management.

This study explored how droughts have evolved over time in northern Benin, a region that relies heavily on rainfall for farming. By analyzing rainfall and river flow patterns, the research found that while conditions improved after major droughts in the 1970s and 1980s, recent years have seen longer dry spells and worsening water shortages. These results can inform better planning for farming and water use in a changing climate.

This study examines extreme river flows in south-eastern Senegal to better understand flood risks. Using historical data, we analyzed how often very high river flows occur and how large they can be. The results show that rare but intense floods can be expected over long periods. These findings help improve planning for water management and infrastructure, and support better preparation for future flood events in the region.