Exploratory analysis of atmospheric pollution in a coastal forest ecosystem in central Italy

R. Aromolo, V. Moretti, L. Salvati
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Abstract

Exploratory analysis of atmospheric pollution in a coastal forest ecosystem in central Italy - The study of spatial and temporal distribution of heavy metals in the atmosphere through the continuous assessment of deposition is of great interest for the analysis of anthropogenic pressure on the environment and the potential toxicity to humans and other living organisms. Information based on reliable estimates of heavy metals is therefore crucial for the evaluation of environmental quality. Trends in heavy metal concentration in atmospheric depositions on a coastal forest ecosystem (Castelporziano, Rome) are analyzed in the present study based on a three-year monitoring field survey over three sites representative of different woodland characteristics in the area. Our results highlight both the influence of transportation processes in the short and medium distance based on the human pressure reflecting urban expansion and infrastructure development on the fringe of Castelporziano pristine forest. Further studies investigating the latent correlation with meteorological variables at various temporal scales are needed to provide a comprehensive picture of environmental conditions in a forest ecosystem subjected to increasing human pressure. Analysis of runoff water quality and the determination of other heavy metals, such as arsenic, may identify additional sources of pollution impacting soil and forest ecosystem.
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意大利中部沿海森林生态系统大气污染的探索性分析
意大利中部沿海森林生态系统大气污染的探索性分析——通过对沉积的连续评估来研究大气中重金属的时空分布,对于分析人为对环境的压力以及对人类和其他生物的潜在毒性具有重要意义。因此,以可靠的重金属估计值为基础的资料对于评价环境质量至关重要。本研究基于对该地区代表不同林地特征的三个地点进行的为期三年的监测实地调查,分析了沿海森林生态系统(Castelporziano, Rome)大气沉积物中重金属浓度的趋势。我们的研究结果强调了基于城市扩张和基础设施发展的人类压力在Castelporziano原始森林边缘的中短途交通过程的影响。需要进一步研究在不同时间尺度上与气象变量的潜在相关性,以便全面了解受人类压力增加影响的森林生态系统的环境状况。对径流水质的分析和对砷等其他重金属的测定,可能会查明影响土壤和森林生态系统的其他污染源。
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来源期刊
Annals of Silvicultural Research
Annals of Silvicultural Research Agricultural and Biological Sciences-Forestry
CiteScore
2.70
自引率
0.00%
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