EGU24-13287, updated on 09 Mar 2024
https://doi.org/10.5194/egusphere-egu24-13287
EGU General Assembly 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

From Field to Flow: Assessing River-Aquifer Dynamics in Tropical Regions with In-Situ Dataset Insights

José Gescilam Sousa Mota Uchôa1, Paulo Tarso S. Oliveira1,2, André S. Ballarin1,3, André Almagro2, Antônio A. Meira Neto4, Didier Gastmans5, Scott Jasechko6, Ying Fan7, and Edson C. Wendland1
José Gescilam Sousa Mota Uchôa et al.
  • 1University of São Paulo, São Carlos School of Engineering, Department of Hydraulics and Sanitation, Brazil (gescilam@usp.br)
  • 2Faculty of Engineering, Architecture and Urbanism, and Geography, Federal University of Mato Grosso do Sul, Campo Grande, MS, Brazil.
  • 3Department of Civil Engineering, University of Calgary, AB, Canada
  • 4Department of Civil and Environmental Engineering, Colorado State University, Fort Collins, CO, USA.
  • 5Environmental Studies Center, São Paulo State University, Av. 24A, 1515, Bela Vista, Rio Claro, SP, Brazil.
  • 6Bren School of Environmental Science & Management, University of California, Santa Barbara, USA.
  • 7Department of Earth and Planetary Sciences, Rutgers University, New Brunswick, New Jersey, USA.

In recent years, the scientific community has directed significant attention towards understanding river-aquifer interactions due to their pivotal role in hydrological and biogeochemical processes with implications for solving diverse engineering challenges. Despite the growing focus on these interactions, most studies remain confined to local scales, hindering their incorporation into comprehensive continental-scale water resources management. Addressing this gap, our study pioneers the empirical verification of river-aquifer flow directions (characterizing losing or gaining rivers) in a tropical context. We leveraged an extensive database comprising approximately 150 thousand wells spanning the entirety of Brazil, and we developed empirical power equations using data from around 500 river gauge stations to estimate river water levels under low-flow conditions. To ascertain the flow direction of river-aquifer interactions, we compared hydraulic gradients between groundwater levels of wells and their nearest rivers. A river was classified as losing when its water levels were above those of neighboring wells, indicating potential water loss to underlying aquifers. Stringent connectivity criteria were applied, including a maximum distance of 1 km between wells and rivers, well depth not exceeding 100 meters, and exclusion of wells in confined aquifers. Our study conducted systematic robustness checks, exploring the sensitivity of the data to chosen time intervals, variations in river water levels under low-flow conditions, and the inclusion of confined aquifers. Our findings reveal that more than half of Brazilian rivers are prone to losing water to underlying aquifers. The results underscore the significance of our in-situ data-driven methodology, indicating that losing rivers, widespread throughout Brazilian territory, may serve as potential points of groundwater contamination. Particularly crucial in tropical regions with elevated organic matter input into rivers, given the inadequate wastewater treatment. The findings emphasize the critical necessity of analyzing river-aquifer interactions for effective water resource management on both local and continental scales.

How to cite: Sousa Mota Uchôa, J. G., Tarso S. Oliveira, P., S. Ballarin, A., Almagro, A., A. Meira Neto, A., Gastmans, D., Jasechko, S., Fan, Y., and C. Wendland, E.: From Field to Flow: Assessing River-Aquifer Dynamics in Tropical Regions with In-Situ Dataset Insights, EGU General Assembly 2024, Vienna, Austria, 14–19 Apr 2024, EGU24-13287, https://doi.org/10.5194/egusphere-egu24-13287, 2024.