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Ecological risk of metals in Andean water resources: A framework for early environmental assessment of mining projects in Peru.
Moreno-Aguirre, Simón B; Vértiz-Osores, Jacinto J; Paredes-Espinal, Christian E; Meseth, Enrique; Vílchez-Ochoa, Guillermo L; Espino-Ciudad, Jessica A; Flores Del Pino, Lisveth.
Afiliação
  • Moreno-Aguirre SB; Master's Program in Water Resources, Universidad Nacional Agraria La Molina, UNALM, Lima, Peru.
  • Vértiz-Osores JJ; Faculty of Engineering and Management, Universidad Nacional Tecnológica de Lima Sur, Villa El Salvador, 15834, Lima, Peru.
  • Paredes-Espinal CE; Technical Operations Functional Unit (OTEC), Organismo de Evaluación y Fiscalización Ambiental (OEFA), Lima, Peru.
  • Meseth E; Doctoral Program in Water Resources, Universidad Nacional Agraria La Molina, UNALM, Lima, Peru.
  • Vílchez-Ochoa GL; Research Office in Geosciences, Environment and Climate, Asociación Ingenieros para el Desarrollo - Engineers for Development INDEFOD, Paita, Piura, Peru.
  • Espino-Ciudad JA; Faculty of Engineering and Management, Universidad Nacional Tecnológica de Lima Sur, Villa El Salvador, 15834, Lima, Peru.
  • Flores Del Pino L; Technical Operations Functional Unit (OTEC), Organismo de Evaluación y Fiscalización Ambiental (OEFA), Lima, Peru.
Heliyon ; 10(9): e30739, 2024 May 15.
Article em En | MEDLINE | ID: mdl-38765175
ABSTRACT
Metallic contaminants in Andean water resources influenced by mining activities poses risks to aquatic ecosystems and a challenge to regulatory agencies responsible for environmental compliance. In this study, the Ecological Risk Assessment (ERA) framework was adapted to assess dissolved heavy metal concentrations at 283 surface water monitoring stations near to six mining projects during the dry and wet seasons. Reports from OEFA-Peru on Early Environmental Assessment (EEA) were used to apply various criteria and non-parametric statistical tests. They included ecological, ecotoxicological, chemical, and regulatory factors. The main goal of this research was to identify, analyze, characterize, and compare the risks present at different trophic levels. These levels were categorized as T1 (Microalgae), T2 (Zooplankton and Benthic invertebrates), and T3 (Fish). Individual risk (IR) was estimated using the quotient model, while total risk (TR) was assessed using the additive probability rule. Rainbow trout (Oncorhynchus mykiss), representing trophic level T3, showed the highest sensitivity to Fe and Cu. Statistical tests ranked the IR as Fe > Cu > Zn > Mn > Pb (p < 0.01). The TR was more prevalent during the wet season compared to the dry season (p < 0.01). Notably, around 50 % of the monitoring stations (n = 142) were classified as high risk, and 9 % (n = 13) showed extremely high-risk values for Cu and Fe. The adapted ERA framework demonstrated great effectiveness in identifying critical points of metal contamination in high Andean aquatic ecosystems under mining influence. However, specialized studies are suggested that allow the sources of pollution to be associated with specific regulatory actions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Peru Idioma: En Revista: Heliyon Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Peru País de publicação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE País/Região como assunto: America do sul / Peru Idioma: En Revista: Heliyon Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Peru País de publicação: Reino Unido