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
Master's Program in Water Resources, Universidad Nacional Agraria La Molina, UNALM, Lima, Peru.
Faculty of Engineering and Management, Universidad Nacional Tecnológica de Lima Sur, Villa El Salvador, 15834, Lima, Peru.
Heliyon. 2024 May 6;10(9):e30739. doi: 10.1016/j.heliyon.2024.e30739. eCollection 2024 May 15.
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 (), 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.
受采矿活动影响,安第斯水资源中的金属污染物对水生生态系统构成风险,也给负责环境合规的监管机构带来挑战。在本研究中,生态风险评估(ERA)框架被用于评估六个采矿项目附近283个地表水监测站在旱季和雨季的溶解重金属浓度。秘鲁环境评估和森林研究所(OEFA)关于早期环境评估(EEA)的报告被用于应用各种标准和非参数统计测试。这些标准和测试包括生态、生态毒理学、化学和监管因素。本研究的主要目标是识别、分析、表征和比较不同营养级存在的风险。这些营养级被分类为T1(微藻)、T2(浮游动物和底栖无脊椎动物)和T3(鱼类)。使用商数模型估计个体风险(IR),同时使用相加概率规则评估总风险(TR)。代表营养级T3的虹鳟对铁和铜表现出最高的敏感性。统计测试将个体风险排序为铁>铜>锌>锰>铅(p<0.01)。与旱季相比,总风险在雨季更为普遍(p<0.01)。值得注意的是,约50%的监测站(n=142)被归类为高风险,9%(n=13)的监测站铜和铁的值显示为极高风险。经过调整的ERA框架在识别受采矿影响的高安第斯水生生态系统中金属污染的关键点方面显示出巨大成效。然而,建议开展专门研究,以便将污染源与具体监管行动联系起来。