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Influence of traffic on build-up of polycyclic aromatic hydrocarbons on urban road surfaces: A Bayesian network modelling approach
Environmental Pollution ( IF 7.6 ) Pub Date : 2017-12-06 , DOI: 10.1016/j.envpol.2017.10.125
Yingxia Li , Ziliang Jia , Buddhi Wijesiri , Ningning Song , Ashantha Goonetilleke

Due to their carcinogenic effects, Polycyclic Aromatic Hydrocarbons (PAHs) deposited on urban surfaces are a major concern in the context of stormwater pollution. However, the design of effective pollution mitigation strategies is challenging due to the lack of reliability in stormwater quality modelling outcomes. Current modelling approaches do not adequately replicate the interdependencies between pollutant processes and their influential factors. Using Bayesian Network modelling, this research study characterised the influence of vehicular traffic on the build-up of the sixteen US EPA classified priority PAHs. The predictive analysis was conditional on the structure of the proposed BN, which can be further improved by including more variables. This novel modelling approach facilitated the characterisation of the influence of traffic as a source of origin and also as a key factor that influences the re-distribution of PAHs, with positive or negative relationship between traffic volume and PAH build-up. It was evident that the re-distribution of particle-bound PAHs is determined by the particle size rather than the chemical characteristics such as volatility. Moreover, compared to commercial and residential land uses, mostly industrial land use contributes to the PAHs load released to the environment. Carcinogenic PAHs in industrial areas are likely to be associated with finer particles, while PAHs, which are not classified as human carcinogens, are likely to be found in the coarser particle fraction.



中文翻译:

交通对城市道路表面多环芳烃堆积的影响:贝叶斯网络建模方法

由于其致癌作用,在雨水污染的背景下,沉积在城市表面的多环芳烃(PAH)是一个主要问题。但是,由于雨水质量建模结果缺乏可靠性,因此有效的污染缓解策略的设计具有挑战性。当前的建模方法不能充分复制污染物过程及其影响因素之间的相互依存关系。使用贝叶斯网络模型,本研究描述了交通流量对美国EPA分类的16种优先PAHs积累的影响。预测分析取决于所提议的BN的结构,可以通过包含更多变量来进一步改进该结构。这种新颖的建模方法有助于将交通影响的特征描述为来源,并且作为影响PAH重新分配的关键因素,交通量与PAH积累之间具有正向或负向关系。显然,结合颗粒的PAHs的重新分布是由颗粒大小决定的,而不是由化学特性(如挥发性)决定的。此外,与商业和住宅用地相比,工业用地大部分是释放到环境中的多环芳烃负荷的原因。工业领域的致癌多环芳烃可能与较细的颗粒有关,而未归类为人类致癌物的多环芳烃则可能在较粗的颗粒部分中发现。流量与PAH增长之间存在正或负的关系。显然,结合颗粒的PAHs的重新分布是由颗粒大小决定的,而不是由化学特性(如挥发性)决定的。此外,与商业和住宅用地相比,工业用地大部分是释放到环境中的多环芳烃负荷的原因。工业领域的致癌多环芳烃可能与较细的颗粒有关,而未归类为人类致癌物的多环芳烃则可能在较粗的颗粒部分中发现。流量与PAH增长之间存在正或负的关系。显然,结合颗粒的PAHs的重新分布是由颗粒大小决定的,而不是由化学特性(如挥发性)决定的。此外,与商业和住宅用地相比,工业用地大部分是释放到环境中的多环芳烃负荷的原因。工业领域的致癌多环芳烃可能与较细的颗粒有关,而未归类为人类致癌物的多环芳烃则可能在较粗的颗粒部分中发现。与商业和住宅用地相比,工业用地主要是向环境释放的多环芳烃负荷的原因。工业领域的致癌多环芳烃可能与较细的颗粒有关,而未归类为人类致癌物的多环芳烃则可能在较粗的颗粒部分中发现。与商业和住宅用地相比,工业用地主要是向环境释放的多环芳烃负荷的原因。工业领域的致癌多环芳烃可能与较细的颗粒有关,而未归类为人类致癌物的多环芳烃则可能在较粗的颗粒部分中发现。

更新日期:2017-12-06
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