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首页> 外文期刊>Ecological indicators >Long-term monitoring programs to assess environmental pressures on coastal area: Weighted indexes and statistical elaboration as handy tools for decision-makers
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Long-term monitoring programs to assess environmental pressures on coastal area: Weighted indexes and statistical elaboration as handy tools for decision-makers

机译:评估沿海地区环境压力的长期监测计划:加权指数和统计数据作为决策者的便捷工具

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摘要

Data generated by long-term monitoring programs for coastal areas are intricate and require advanced tools able to identify the factors, natural or anthropogenic, responsible for the observed quality status. In the present study, data stemming from a 5-year monitoring programme of the Apulian coast were utilized for validating a speedy and comprehensive approach to assess the environmental quality of the marine-coastal area. Selecting 12 indicator contaminants controlling the pollution degree of the bottom sediments and attributing to each of them a weighted relevance according to their hazard potential, two multimetric indexes were calculated, helping to establish how and to what extent the selected contaminants could affect the achievement of good chemical and ecological status of coastal area. The relationships between calculated hazard degree values and the main natural factors loading on the study area were addressed through multivariate analyses. The variability of hazard degree values over time was explained by means of combined use of multivariate analyses and multimetric indexes, affording a handy method that allows to differentiate the role of natural factors, such as hydrodynamic and morphological features of the coastal track versus that of anthropogenic pressures. The combined approach adopted supports a reliable hazard assessment at long-term period and at a large spatial scale.
机译:沿海地区长期监测计划生成的数据非常复杂,需要先进的工具才能识别造成观察到的质量状况的自然因素或人为因素。在本研究中,利用来自阿普利亚海岸5年监测计划的数据来验证一种快速而全面的方法来评估海洋沿海地区的环境质量。选择12种指示性污染物来控制底部沉积物的污染程度,并根据其潜在危害对它们进行加权关联,计算出两个多指标指标,以帮助确定所选污染物如何以及在多大程度上影响良好沉积物的实现。沿海地区的化学和生态状况。通过多变量分析解决了计算出的危险程度值与研究区域主要自然因素之间的关系。通过结合使用多元分析和多指标指标来解释危险程度值随时间的变化,提供了一种方便的方法,可以区分自然因素的作用,例如沿海航迹的水动力和形态特征与人为的特征压力。所采用的组合方法可在长期和大空间范围内支持可靠的危害评估。

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