Department of Civil, Architectural and Environmental Engineering, University of Napoli, Federico II. Via Claudio 21, 80125, Napoli, Italy.
Department of Civil, Architectural and Environmental Engineering, University of Napoli, Federico II. Via Claudio 21, 80125, Napoli, Italy.
Chemosphere. 2022 Sep;303(Pt 1):134955. doi: 10.1016/j.chemosphere.2022.134955. Epub 2022 May 22.
Almost 140 years of industrial exploitation have severely degraded the environment of Bagnoli Coroglio (BC), the westernmost neighborhood of the city of Naples (Italy). In this peculiar area, however, geogenic processes overlap with the impact of human activities, making it difficult to distinguish between anthropogenic and geogenic pollution sources. This is particularly true for Arsenic, the concentration of which in the marine sediments largely exceeds the tolerable level for human health and the background value for local pyroclastics. After several studies have used traditional tools based on multivariate statistics, this article attempts at tackling the problem via numerical modeling, which provides a deeper insight into the physics that governs the pollution process. Therefore, we use a particle tracking model to assess whether arsenic levels in the seabed can be affected by the influx of thermal water from an artificial channel outfalling at the westernmost part of the coast The climatic forcings that drive the marine circulation are simplified to basic "scenarios", in which wind and waves are stationary in strength and direction. Since the simulation time is much less than the contamination timescale, the comparison between numerical results and measurements is essentially qualitative and concerns the shape of contamination contours. It was found the primary forcing that enables seabed pollution is the tidal circulation, which, moreover, acts continuously in time. Quantitative arguments based on regression analysis suggest the discharge of thermal water explains almost a quarter of the observed pollution, which is consistent with previous research based on multivariate statistics.
近 140 年的工业开发严重破坏了那不勒斯(意大利)西部巴尼奥利科罗戈利(BC)的环境。然而,在这个特殊的地区,地球化学过程与人类活动的影响重叠,使得区分人为和地球化学污染源变得困难。对于砷来说尤其如此,其在海洋沉积物中的浓度大大超过了人类健康的可容忍水平和当地火山碎屑岩的背景值。在使用基于多元统计的传统工具进行了多项研究之后,本文尝试通过数值建模来解决该问题,这为污染过程的物理性质提供了更深入的了解。因此,我们使用粒子跟踪模型来评估来自海岸最西部人工渠道排放的热水是否会影响海底的砷含量。驱动海洋环流的气候强迫简化为基本的“情景”,其中风强度和方向保持不变。由于模拟时间远小于污染时间尺度,因此数值结果与测量值之间的比较基本上是定性的,并且涉及污染轮廓的形状。研究发现,能够造成海底污染的主要驱动力是潮汐环流,而且它在时间上是连续作用的。基于回归分析的定量论点表明,热水的排放解释了近四分之一的观察到的污染,这与基于多元统计的先前研究一致。