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Evaluation des risques environnementaux dans le parc marin du Saguenay-Saint-Laurent (Quebec, Canada)

机译:Saguenay-Saint-Laurent海洋公园(加拿大魁北克)的环境风险评估

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摘要

Since its foundation in 1998, the Saguenay-St. Lawrence Marine Park (SSLMP), located in the Province of Quebec, is protecting a significant portion of the St. Lawrence Estuary and the Saguenay Fjord. In this large coastal area, the important biodiversity and complexity of the ecosystem are facing human activities and their multiple impacts. In support to conservation goals, we adapted the relative risk model (RRM) as a management tool to highlight the zones the most at risk, identify the main sources of stress and develop environmental strategies to reduce global risk level in the Park.;To build such a model we focussed on variables governing environmental risk in this marine area and proceeded to an update of the necessary dataset to develop our tool. The relative significance of main land-based inputs on the global environmental contamination were first developed and then we examined the chemical and microbial contamination of several compartments of the ecosystem in the main semi-enclosed bays and streams of the Saguenay St. Lawrence Marine Park (SSLMP) . Our study provided a first estimation of each source of contamination, particularly local ones, as only a few unpublished data were previously available. Results showed a ubiquitous contamination but a heterogeneous distribution of the contamination in the ecosystem of the marine park in relation with the location of human activities. Particularly, urban effluents were highlighted as an important source of stress at a local scale but a low contributor to global contamination compared to diffuse external inputs from the St. Lawrence and Saguenay rivers, which relative apportionment was estimated from 88 to 100% depending on the analysed pollutant. This huge discrepancy between sources is mainly driven by their daily discharge but also by sorne local hydrodynamic factors discussed in this paper. Moreover, a closer look at the polycyclic aromatic hydrocarbons (PAH) distribution in intertidal sediments revealed the influence of maritime traffic. Finally, unexpected data were subject to a special focus. In the Bay of Sainte-Marguerite, an important site for belugas (endangered species of the Park), in absence of any local source of contamination, the highest level of contamination for PAH and sorne metals was recorded. Sorne hypotheses are discussed to explain observations and provide insight for further works on contamination fate in this bay.;The information derived from the bulk analysis and multi-contaminant data provided good insights to enforce our understanding of anthropogenic stress in the SSLMP. Then, dataset was integrated to develop our tool. This first deployment of the methodology over a marine conservation area al/owed to depict the regional environmental pressure from multiple anthropogenic sources of stress in the SSLMP. The RRM highlighted the mouth of XVI the Saguenay Fjord and the coastal area of the Lower St. Lawrence Estuary as the subregions to be the most at risk and incriminated vessel traffic, sewage discharges and urban runoff as the main sources of stress in those areas. Moreover, the flexibility of this risk model allowed us to proactively explore future management options (to deal with environmental risks) and assess their probable benefits. The RRM predicts that the implementation of wastewater treatment plans (to solve contamination problems) and a reduction of the navigation pressure would decrease the global risk from 25 to 32 % in the sub-regions identified as the most at risk. Finally, uncertainty and sensitivity analysis was used to provide preliminary insights on the RRM behaviour and performance, and to assist in guiding possible fine tuning in the data integration and focusing future studies to optimize the RRM and its uses.
机译:自1998年成立以来,萨格奈街位于魁北克省的劳伦斯海洋公园(SSLMP)正在保护圣劳伦斯河口和萨格奈峡湾的很大一部分。在这个大的沿海地区,重要的生物多样性和生态系统的复杂性正面临着人类活动及其多重影响。为了支持保护目标,我们采用了相对风险模型(RRM)作为管理工具,以突出显示风险最高的区域,确定压力的主要来源并制定环境战略以降低公园的全球风险水平。在这样的模型中,我们专注于控制该海洋区域中环境风险的变量,并着手更新必要的数据集以开发我们的工具。首先开发了主要的陆基投入物对全球环境污染的相对重要性,然后我们研究了Saguenay St. Lawrence海洋公园的主要半封闭海湾和溪流中生态系统几个区室的化学和微生物污染( SSLMP)。我们的研究提供了对每种污染源(尤其是本地污染源)的初步估算,因为以前只有少数未公开的数据。结果表明,与人类活动的位置有关,海洋公园生态系统中普遍存在污染物,但污染物的分布不均。特别是,城市污水被强调为地方规模上的重要压力来源,但与来自圣劳伦斯河和萨格奈河的外部外部输入相比,其对全球污染的贡献较小,根据河床的相对分配,相对分配估计为88%至100%分析污染物。源之间的巨大差异主要是由它们的日排放量引起的,也由本文讨论的索恩局部流体动力因素驱动。此外,仔细研究潮间带沉积物中的多环芳烃(PAH)分布,揭示了海上交通的影响。最后,意外数据要特别关注。在圣玛格丽特湾(白鲸(公园中的濒危物种)的重要场所),在没有任何本地污染源的情况下,记录到的PAH和金属氧化物的污染程度最高。讨论Sorne假说以解释观察结果,并为进一步研究该海湾的污染命运提供依据。;大量分析和多污染物数据得出的信息为加强我们对SSLMP中人为压力的理解提供了很好的见解。然后,集成数据集以开发我们的工具。该方法在海洋保护区上的首次部署是/已经描述了SSLMP中来自多种人为压力源的区域环境压力。 RRM强调了萨格奈峡湾(Saguenay Fjord)的口和圣劳伦斯河口下游的沿海地区是最受威胁的次区域,船只交通,污水排放和城市径流是这些地区的主要压力来源。此外,这种风险模型的灵活性使我们能够主动探索未来的管理方案(以应对环境风险)并评估其可能的收益。 RRM预测,废水处理计划的实施(以解决污染问题)和航行压力的降低将把全球风险从被确定为风险最高的子区域中降低到25%至32%。最后,不确定性和敏感性分析用于提供有关RRM行为和性能的初步见解,并有助于指导数据集成中可能的微调,并集中于未来的研究以优化RRM及其使用。

著录项

  • 作者

    Lemaire, Nicolas.;

  • 作者单位

    Universite du Quebec a Rimouski (Canada).;

  • 授予单位 Universite du Quebec a Rimouski (Canada).;
  • 学科 Biological oceanography.;Environmental management.;Environmental engineering.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 156 p.
  • 总页数 156
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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