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Network environmental analysis based ecological risk assessment of a naphthalene-contaminated groundwater ecosystem under varying remedial schemes

机译:不同补救方案下基于网络环境分析的萘污染的地下水生态系统的生态风险评估

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Many of the existing ecological risk studies for groundwater ecosystems paid little attention to either small-scale regions (e.g., an industrial contamination site) or ignored anthropogenic activities (e.g., site remediation). This study presented a network environmental analysis based ecological risk assessment (ERA) framework to a naphthalene-contaminated groundwater remediation site. In the ERA, four components (vegetation, herbivore, soil micro-organism and carnivore) were selected, which are directly or indirectly exposed to the contaminated groundwater ecosystem. By incorporating both direct and indirect ecosystem interactions, the risk conditions of the whole ecosystem and its components were quantified and illustrated in the case study. Results indicate that despite there being no input risks for herbivores and carnivores, the respective integral risks increase to 0.0492 and 0.0410. For soil microorganisms, 58.8% of the integral risk comes from the input risk, while the other 41.2% of the integral risk comes from the direct risk. Therefore, the risk flow within the components is a non-negligible risk origination for soil micro-organisms. However, the integral risk for vegetation was similar to the input risk, indicating no direct risk. The integral risk at the 5-year point after remediation was the highest for the four components. This risk then decreased at the 10-year point, and then again increased. Results from the sensitivity analysis also suggest that the proposed framework is robust enough to avoid disturbance by parameter uncertainty. (C) 2016 Published by Elsevier B.V.
机译:现有的许多针对地下水生态系统的生态风险研究很少关注小规模区域(例如工业污染现场)或忽略了人为活动(例如场地修复)。这项研究为萘污染的地下水修复站点提供了基于网络环境分析的生态风险评估(ERA)框架。在ERA中,选择了四个成分(植被,草食动物,土壤微生物和食肉动物),它们直接或间接暴露于受污染的地下水生态系统。通过结合直接和间接的生态系统相互作用,整个生态系统及其组成部分的风险状况得以量化并在案例研究中得到说明。结果表明,尽管食草动物和食肉动物没有输入风险,但各自的整体风险却增加到0.0492和0.0410。对于土壤微生物,整体风险中有58.8%来自输入风险,而其他整体风险中有41.2%来自直接风险。因此,组件内的风险流是土壤微生物不可忽略的风险来源。但是,植被的整体风险与输入风险相似,表明没有直接风险。修复后5年的积分风险是这四个组成部分中最高的。然后,该风险在10年点下降,然后再次上升。敏感性分析的结果还表明,所提出的框架具有足够的鲁棒性,可以避免参数不确定性造成的干扰。 (C)2016由Elsevier B.V.发布

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