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Combining chemometric tools for assessing hazard sources and factors acting simultaneously in contaminated areas. Case study: 'Mar Piccolo' Taranto (South Italy)

机译:结合化学计量学工具来评估在污染区域中同时起作用的危险源和因素。案例研究:“ Mar Piccolo” Taranto(意大利南部)

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Almost all marine coastal ecosystems possess complex structural and dynamic characteristics, which are influenced by anthropogenic causes and natural processes as well. Revealing the impact of sources and factors controlling the spatial distributions of contaminants within highly polluted areas is a fundamental propaedeutic step of their quality evaluation. Combination of different pattern recognition techniques, applied to one of the most polluted Mediterranean coastal basin, resulted in a more reliable hazard assessment. PCA/CA and factorial ANOVA were exploited as complementary techniques for apprehending the impact of multi-sources and multi-factors acting simultaneously and leading to similarities or differences in the spatial contamination pattern. The combination of PCA/CA and factorial ANOVA allowed, on one hand to determine the main processes and factors controlling the contamination trend within different layers and different basins, and, on the other hand, to ascertain possible synergistic effects. This approach showed the significance of a spatially representative overview given by the combination of PCA-CA/ANOVA in inferring the historical anthropogenic sources loading on the area. (C) 2017 Elsevier Ltd. All rights reserved.
机译:几乎所有海洋沿海生态系统都具有复杂的结构和动态特征,这些特征也受到人为原因和自然过程的影响。揭示污染源和控制污染严重区域内污染物空间分布的因素的影响,是对其质量进行评估的基本步骤。结合使用最严重的地中海沿岸盆地之一的不同模式识别技术,可以进行更可靠的危害评估。 PCA / CA和阶乘方差分析被用作补充技术,以理解同时作用的多源和多因素的影响,并导致空间污染模式的相似或不同。 PCA / CA和阶乘方差分析的结合,一方面可以确定控制不同层和不同盆地内污染趋势的主要过程和因素,另一方面还可以确定可能的协同效应。这种方法显示了由PCA-CA / ANOVA组合提供的具有空间代表性的概观在推断该地区的历史人为源负荷方面的重要性。 (C)2017 Elsevier Ltd.保留所有权利。

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