Selection of Sustainable Locations for Fish Farms in the Amazon Region of Northern Brazil Using Geophysical and Sedimentological Data

In recent years, aquaculture operations in northeastern Pará, in northern Brazil, have expanded at a much faster rate than the national average, to the extent that the region is now an important national fish farming nucleus. While this region has enormous potential for aquaculture given its vast water resources, it faces a range of problems, including the need to select adequate sites to guarantee the sustainability and success of fish farming operations, as a source of food for the local population. The present study was based on the integration of direct (sedimentological analysis) and indirect methods [ground-penetrating radar (GPR) and seismic surveys] to evaluate the characteristics of a proposed fish farming site in the Amazonian town of Braganca, in northern Brazil. The GPR data revealed that the subsoil has horizontal to subhorizontal layers, with the presence of a water table at a depth of 6–7 m. The subsoil has a sandy substrate mixed with clay, as confirmed by the shallow-refraction seismic data. The classification of the soil also confirmed this diagnosis, with a predominance of sand (mean = 64.43%), and clay (mean = 22.72%) and silt (mean = 12.85%) in smaller proportions. These percentages are well below the recommended values (25% clay and 45% clay + silt) needed to ensure a minimum loss of water from the excavated substrate through infiltration. Overall, the analyses confirmed that the site surveyed here was not adequate for the installation of fish farming ponds. The study integrated two geophysical methods (GPR and seismic) and sedimentology to assess the site of a proposed fish farm, and provided a highly effective diagnosis of the characteristics of the proposed fish farm, which can be extended to other aquaculture operations in the study region.

Authors

Institutions

Publication Details

Journal
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Published
2025-01-01
DOI
https://doi.org/10.1109/jstars.2025.3612299
Primary Topic
Fish biology, ecology, and behavior
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Selection of Sustainable Locations for Fish Farms in the Amazon Region of Northern Brazil Using Geophysical and Sedimentological Data

João Andrade dos Reis, Ramón Peña, Pedro Andrés Chira Oliva, Amanda de Souza Santos et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fish biology, ecology, and behavior
article

Selection of Sustainable Locations for Fish Farms in the Amazon Region of Northern Brazil Using Geophysical and Sedimentological Data

João Andrade dos Reis, Ramón Peña, Pedro Andrés Chira Oliva, Amanda de Souza Santos, Fabrício de Assis de Sousa Texeira
article en

Abstract

In recent years, aquaculture operations in northeastern Pará, in northern Brazil, have expanded at a much faster rate than the national average, to the extent that the region is now an important national fish farming nucleus. While this region has enormous potential for aquaculture given its vast water resources, it faces a range of problems, including the need to select adequate sites to guarantee the sustainability and success of fish farming operations, as a source of food for the local population. The present study was based on the integration of direct (sedimentological analysis) and indirect methods [ground-penetrating radar (GPR) and seismic surveys] to evaluate the characteristics of a proposed fish farming site in the Amazonian town of Braganca, in northern Brazil. The GPR data revealed that the subsoil has horizontal to subhorizontal layers, with the presence of a water table at a depth of 6–7 m. The subsoil has a sandy substrate mixed with clay, as confirmed by the shallow-refraction seismic data. The classification of the soil also confirmed this diagnosis, with a predominance of sand (mean = 64.43%), and clay (mean = 22.72%) and silt (mean = 12.85%) in smaller proportions. These percentages are well below the recommended values (25% clay and 45% clay + silt) needed to ensure a minimum loss of water from the excavated substrate through infiltration. Overall, the analyses confirmed that the site surveyed here was not adequate for the installation of fish farming ponds. The study integrated two geophysical methods (GPR and seismic) and sedimentology to assess the site of a proposed fish farm, and provided a highly effective diagnosis of the characteristics of the proposed fish farm, which can be extended to other aquaculture operations in the study region.

IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingVol. 18
University of Parma (IT), Xavier School (PH), Universidade Federal Rural da Amazônia (BR), Institute of Applied Geophysics of the Academy of Sciences (RU), Institute of Marine and Coastal Research (AR), Universidad de la Amazonia (CO), Unidade Hospitalar de Bragança (PT)
Openalex Percentile: Top 75%
Fish biology, ecology, and behavior
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.