http://hdl.handle.net/10174/14423 2026-04-05T21:18:03Z http://hdl.handle.net/10174/41053 Title: ROBIN: Reference observatory of basins for international hydrological climate change detection Authors: Turner, S.; Hannaford, J.; Barker, L.J.; Suman, G.; Armitage, R.; Fonseca, R. Abstract: Human-induced warming is modifying the water cycle. Adaptation to posed threats requires an understanding of hydrological responses to climate variability. Whilst these models, and understanding and quantifying emerging trends in the water cycle. To date, Observatory of Basins for INternational hydrological climate change detection (ROBIN) – the endeavours and advance change detection studies to support international climate policy and adaptation. 2025-01-01T00:00:00Z http://hdl.handle.net/10174/40994 Title: Global hydrological dataset of daily streamflow data from the Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN), 1863 - 2022 Authors: Turner, S.; Hannaford, J.; Barker, L.J.; Suman, G.; Armitage, R.; Fonseca, R. Editors: Environmental Information Data Center Abstract: The Reference Observatory of Basins for INternational hydrological climate change detection (ROBIN) dataset is a global hydrological dataset containing publicly available daily flow data for 2,386 gauging stations across the globe which have natural or near-natural catchments. Metadata is also provided alongside these stations for the Full ROBIN Dataset consisting of 3,060 gauging stations. Data were quality controlled by the central ROBIN team before being added to the dataset, and two levels of data quality are applied to guide users towards appropriate the data usage. Most records have data of at least 40 years with minimal missing data with data records starting in the late 19th Century for some sites through to 2022. 2024-01-01T00:00:00Z http://hdl.handle.net/10174/40850 Title: Advancing the Understanding of Sediment Contamination Dynamics in the Iron Quadrangle (Brazil): A Comparative Analysis of Pollution Indices for PTE Assessment Authors: Vicq, R.; Leite, M.G.P; Leão, L.; Nalini Júnior, H.A.; Gomes, P.; Fonseca, R.; Valente, T. Abstract: The assessment of sediment contamination is a critical component in understanding the dynamics of potentially toxic elements (PTEs) in aquatic ecosystems, particularly in regions with intensive mining activities. This study focuses on the Rio das Velhas basin, located in the Iron Quadrangle (IQ), one of the most important mining provinces in the world, characterized by extensive anthropogenic pressures and rich geological diversity. A comprehensive evaluation of sediment contamination in this region was conducted, applying multiple univariate and multielement indices, including the contamination factor (CF), enrichment factor (EF), modified contamination degree (mCd), pollution index (PI), modified pollution index (MPI), and ecological risk index (RI). A high sampling density (1 sample per 15 km2) enabled the creation of geochemical maps and the identification of contamination hotspots. The results revealed that As and Cd are the most concerning elements, with concentrations exceeding regional background levels. While EF provided a more sensitive and comprehensive spatial distribution of contamination, MPI emerged as a robust index for capturing geochemical trends in complex environments. The study also highlighted that over 20% of the samples exceeded guideline values for sediment quality, posing ecological risks. Elevated concentrations of PTEs, particularly As and Cd, raise concerns about their potential mobilization and bioaccumulation, threatening aquatic ecosystems. These findings underscore the urgent need for enhanced monitoring and targeted management strategies in mining-impacted basins. This work not only advances the understanding of sediment contamination dynamics in the IQ but also establishes a methodological framework for evaluating sediment quality in heavily impacted mining regions worldwide. 2025-02-01T00:00:00Z http://hdl.handle.net/10174/40847 Title: Hydrogeochemistry of Surface Waters in the Iron Quadrangle, Brazil: High-Resolution Mapping of Potentially Toxic Elements in the Velhas and Paraopeba River Basins. Authors: Vicq, R.; Leite, M.G.P; Leão, L.; Nalini Júnior, H.A.; Cunha e Silva, D.C.; Fonseca, R.; Valente, T. Abstract: The assessment of sediment contamination is a critical component in understanding the dynamics of potentially toxic elements (PTEs) in aquatic ecosystems, particularly in regions with intensive mining activities. This study focuses on the Rio das Velhas basin, located in the Iron Quadrangle (IQ), one of the most important mining provinces in the world, characterized by extensive anthropogenic pressures and rich geological diversity. A comprehensive evaluation of sediment contamination in this region was conducted, applying multiple univariate and multielement indices, including the contamination factor (CF), enrichment factor (EF), modified contamination degree (mCd), pollution index (PI), modified pollution index (MPI), and ecological risk index (RI). A high sampling density (1 sample per 15 km2) enabled the creation of geochemical maps and the identification of contamination hotspots. The results revealed that As and Cd are the most concerning elements, with concentrations exceeding regional background levels. While EF provided a more sensitive and comprehensive spatial distribution of contamination, MPI emerged as a robust index for capturing geochemical trends in complex environments. The study also highlighted that over 20% of the samples exceeded guideline values for sediment quality, posing ecological risks. Elevated concentrations of PTEs, particularly As and Cd, raise concerns about their potential mobilization and bioaccumulation, threatening aquatic ecosystems. These findings underscore the urgent need for enhanced monitoring and targeted management strategies in mining-impacted basins. This work not only advances the understanding of sediment contamination dynamics in the IQ but also establishes a methodological framework for evaluating sediment quality in heavily impacted mining regions worldwide. 2025-02-01T00:00:00Z