Influence of urbanisation characteristics on the variability of particle-bound heavy metals build-up: A comparative study between China and Australia.
Influence of urbanisation characteristics on the variability of particle-bound heavy metals build-up: A comparative study between China and Australia.
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DOI：
10.1016/j.envpol.2018.07.123
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发表时间：
2018-11
影响因子：
8.9
通讯作者：
Buddhi Wijesiri;An Liu;C. Gunawardana;Nian Hong;Panfeng Zhu;Y. Guan;A. Goonetilleke
中科院分区：
文献类型：
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作者：
Buddhi Wijesiri;An Liu;C. Gunawardana;Nian Hong;Panfeng Zhu;Y. Guan;A. Goonetilleke
城市雨水中的重金属污染对人类和生态系统健康构成了潜在的风险。设计可靠的污染缓解战略需要可靠的雨水建模方法。目前的模拟实践不考虑城市化特征对雨水质量的影响。这可能会破坏雨水质量模型结果的准确性。本研究使用了一个由1000多个数据集组成的数据库，利用贝叶斯网络比较了中国（深圳）和澳大利亚（黄金海岸）不同城市地区人为和自然因素影响下城市表面重金属累积（最重要的雨水污染物过程之一）的特征。结果表明，两个区域的重金属累积负荷（深圳平均值-黄金海岸平均值）/深圳平均值之差分别为0.45（Al）、0.88（Cr）、0.99（Mn）、0.68（Fe）、0.98（Ni）、0.24（Cu）、0.47（Zn）和0.13（Pb）。研究结果还证实，深圳和黄金海岸的交通对不同粒径颗粒物累积的影响不同，交通作为重金属的来源和驱动重金属再分布的因素发挥着不同的作用。路面粗糙度也被发现影响不同的两个区域之间的积累过程。更重要的是，对固有过程不确定性的评估显示，深圳不同道路站点之间的重金属积聚比黄金海岸的变化范围更大。该研究强调了来源和关键人为因素对不同地理位置的城市区域之间颗粒结合重金属积累的变化的影响的明显区别。研究结果提供了新的知识，以提高城市雨水水质建模的准确性。
Heavy metal pollution of urban stormwater poses potential risks to human and ecosystem health. The design of reliable pollution mitigation strategies requires reliable stormwater modelling approaches. Current modelling practices do not consider the influence of urbanisation characteristics on stormwater quality. This could undermine the accuracy of stormwater quality modelling results. This research study used a database consisting of over 1000 datasets to compare the characteristics of heavy metal build-up (one of the most important stormwater pollutant processes) on urban surfaces under the influence of anthropogenic and natural factors specific to different urban regions from China (Shenzhen) and Australia (Gold Coast), using Bayesian Networks. The outcomes show that the differences in heavy metals build-up loads between the two regions (mean value for Shenzhen – mean value for Gold Coast)/mean value for Shenzhen) were 0.45 (Al), 0.88 (Cr), 0.99 (Mn), 0.68 (Fe), 0.98 (Ni), 0.24 (Cu), 0.47 (Zn) and 0.13 (Pb), respectively. The research outcomes also confirmed that the influence of traffic on the build-up of different sized particles varies between Shenzhen and Gold Coast, and traffic plays distinct roles as a source and as a factor that drives heavy metal re-distribution. The road surface roughness was also found to influence build-up process differently between the two regions. More importantly, the assessment of inherent process uncertainty revealed that heavy metal build-up between different road sites in Shenzhen varies over a wider range than in Gold Coast. The study highlighted a clear distinction in the influence of sources and key anthropogenic factors on the variability of particle-bound heavy metals build-up between geographically different urban regions. The study outcomes provide new knowledge to enhance the accuracy of urban stormwater quality modelling.