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Roving pharmacies: Modelling the dispersion of pharmaceutical contamination in estuaries

机译:巡回药店:建模药物污染在河口中的分散

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摘要

We characterized the transport pathways of pharmaceuticals released from wastewater outfalls in one of Europe's largest estuarine systems (Tagus estuary, Portugal), to identify areas of ecological relevance prone to environmental degradation due to increased exposure to these emerging contaminants. Particle source, Lagrangian trajectories and arrivals over time (1, 6, and 10 days) were used as a proxy to determine the exposure potential and vulnerability of different habitats to an array of pharmaceuticals with different environmental degradation rates and half-lives. Then, exposure potential was combined with information on sensitive habitats to identify vulnerable areas in the estuary. Three different freshwater inflow scenarios were considered simulating Medium flow, No flow and flood conditions (High flow). Model results for areas with higher particle density were concordant with concentration hotspots of pharmaceuticals. Higher potential exposure in a larger area of the estuary was observed for the High freshwater flow; yet reduced particles export to adjacent coastal areas highlights the potential of estuaries and bays as particle sinks. In all modeled scenarios, vulnerable areas were predominantly located in the southern bays up to day 6, and later in eastern areas, which include a nature reserve. These areas are largely composed of intertidal soft substratum and salt marshes habitats, and thus warrant prioritization for monitoring and risk assessment of pharmaceuticals exposure in the Tagus estuary due to the higher risk of exposure of a wealth of vertebrate and invertebrate species that use them. This framework allowed the identification of vulnerable areas to pharmaceutical contamination and can be a valuable instrument to plan the location for wastewater treatment plants (WWTPs) in estuaries and coastal areas.
机译:我们的特征在于欧洲最大的河口系统(Tagus河口,葡萄牙)中的废水排污物中释放的药品的运输途径,以识别由于这些新兴污染物的暴露而易于对环境降级的生态相关性。粒子源,拉格朗日轨迹和抵达时间(1,6和10天)被用作代理,以确定不同栖息地对具有不同环境降级率和半衰期的药物阵列的曝光潜力和脆弱性。然后,曝光潜力与关于敏感栖息地的信息相结合,以识别河口的脆弱区域。三种不同的淡水流入场景被认为是模拟介质流量,没有流动和洪水条件(高流量)。粒子密度较高的区域的模型结果与药物的浓度热点相应。对于高淡水流动,观察到河口的较大面积的潜在暴露更高;然而,对邻近沿海地区的颗粒导出的降低凸显了河口河口和海湾的潜力。在所有建模方案中,弱势地区主要位于南湾,最多一天的南部海湾,后来在东部地区,包括自然保护区。这些地区主要由透透型软稻和盐沼栖息地组成,因此由于使用它们的丰富脊椎动物和无脊椎动物物种的暴露风险较高,因此在TABUS河口中的监测和风险评估的优先考虑。该框架允许识别易受攻击的地区给制药污染,并可以是规划河口和沿海地区的废水处理厂(WWTPS)的位置。

著录项

  • 来源
    《Ecological indicators》 |2020年第8期|106437.1-106437.11|共11页
  • 作者单位

    Univ Lisbon Fac Sci MARE Marine & Environm Sci Ctr P-1749016 Campo Grande Portugal|Univ Lisbon Fac Ciencias Dept Biol Anim P-1749016 Lisbon Portugal;

    Univ Lisbon Fac Sci MARE Marine & Environm Sci Ctr P-1749016 Campo Grande Portugal|Univ Adelaide Sch Biol Sci Southern Seas Ecol Labs Adelaide SA 5005 Australia;

    Univ Lisbon Fac Sci MARE Marine & Environm Sci Ctr P-1749016 Campo Grande Portugal|Univ Lisbon Fac Ciencias Dept Biol Vegetal P-1749016 Lisbon Portugal;

    Ctr Bordeaux INRAE UR EABX 50 Ave Verdun F-33612 Cestas France;

    Univ Lisbon Fac Sci MARE Marine & Environm Sci Ctr P-1749016 Campo Grande Portugal|Univ Lisbon Fac Ciencias Dept Biol Vegetal P-1749016 Lisbon Portugal;

    Univ Aveiro CESAM Dept Fis P-3810193 Aveiro Portugal;

    Univ Aveiro CESAM Dept Fis P-3810193 Aveiro Portugal;

    Univ Lisbon Fac Sci MARE Marine & Environm Sci Ctr P-1749016 Campo Grande Portugal|Univ Lisbon Fac Ciencias Dept Biol Anim P-1749016 Lisbon Portugal;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Emerging contaminants; Wastewater treatment plants; Hydrodynamic model; Extreme river flow; Habitat vulnerability indicator;

    机译:新兴污染物;废水处理厂;流体动力学模型;极端河流;栖息地漏洞指标;

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