This session addresses the complex challenge of understanding, representing, predicting and managing lentic inland waters, such as lakes and reservoirs, and their ecosystems in the context of their catchments. The focus is twofold:
- understanding and linking physical, chemical and ecological processes in lakes and reservoirs with both natural and anthropogenic influences from their catchments. Key factors include nutrient loading, floods and droughts, land use changes, forest fires, sediment inputs, and road salting.
- exploring the role of lakes and reservoirs management, including hydropower generation, water level regulation and flushing techniques, and their impact on rivers, groundwater and the overall aquatic environment both upstream and downstream.
In this way, the session aims to bridge limnology and hydrology into a common understanding of how to better connect lakes and reservoirs to their catchments to ultimately advance our understanding of inland waters and improve water management practices.
We welcome contributions based on experimental research, monitoring, modelling, machine learning, and remote sensing, with a focus on developing integrated lake-catchment approaches.
- understanding and linking physical, chemical and ecological processes in lakes and reservoirs with both natural and anthropogenic influences from their catchments. Key factors include nutrient loading, floods and droughts, land use changes, forest fires, sediment inputs, and road salting.
- exploring the role of lakes and reservoirs management, including hydropower generation, water level regulation and flushing techniques, and their impact on rivers, groundwater and the overall aquatic environment both upstream and downstream.
In this way, the session aims to bridge limnology and hydrology into a common understanding of how to better connect lakes and reservoirs to their catchments to ultimately advance our understanding of inland waters and improve water management practices.
We welcome contributions based on experimental research, monitoring, modelling, machine learning, and remote sensing, with a focus on developing integrated lake-catchment approaches.