APPLICATION OF A DETERMINISTIC SEMI-DISTRIBUTED HYDROSEDIMENTOLOGICAL MODEL FOR THE ANALYSIS OF HUMAN IMPACTS AND CLIMATE CHANGE IN WATER AVAILABILITY IN THE JARI HYDROGRAPHIC BASIN, AMAZONIA
The Amazon basin, the largest hydrographic basin globally, contributes significantly to the discharge of freshwater to the oceans and is an important regional and global climate regulator. Despite its importance and the need for its preservation, the basin has experienced a considerable increase in anthropogenic pressure on its natural vegetation, protected areas, and indigenous lands. Additionally, climate change significantly impacts its water resources and hydrological cycle. Hydrological modeling is an indispensable tool for assessing environmental impacts and managing river basins and water resources. Among the existing models, the Soil and Water Assessment Tool - SWAT, a conceptual and continuous-time model developed to manage watersheds, stands out. This work aims to identify and analyze the current flow and the water balance conditions of the Jari River hydrographic basin, Eastern Amazon, and trace the impacts on the hydrological balance resulting from deforestation and climate changes until 2050. Calibration and validation showed good agreement, with NSE values of 0.85 and 0.89, RSR values of 0.39 and 0.33, and PBIAS values of -9.5 and -0.6. Regarding deforestation, reductions of 2.80% for scenario 1 and 35% for scenario 2 in the native forest were projected. There were reductions in precipitation of 10.25% and 11.59% in the climate projection scenarios. However, climate change had a much more significant impact than changes in the basin's land use and coverage. These changes impacted the water balance components, causing significant reductions in evapotranspiration and runoff, mainly due to reductions in rainfall. Other components, such as water yield and base flow, showed moderate changes.
a