首页|Influence of surface properties and antecedent environmental conditions on particulate-associated metals in surface runoff

Influence of surface properties and antecedent environmental conditions on particulate-associated metals in surface runoff

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Particulate-associated trace metals have been regarded as an important pollution source for urban surface runoff.Cd,Pb,Cu,Zn and total solids (TS) washed off two different surfaces (low-elevated facade and road surfaces) under two kinds of antecedent environmental conditions (dry and snow-melting) were determined in this study.Wet-vacuuming sweeping (WVS) and surface washing (SW) methods,representing the maximum pollution potential and common rainfall-induced wash-off condition respectively,were used to collect the particulate matters.The result shows that the wash-off concentrations of trace metals were found in the order of Cd (2.28 ± 2.08 μg/l) ＜ Pb (435.85 ± 412.61 μg/l) ＜ Cu (0.93 ± 0.61 mg/l) ＜ Zn (2.52 ± 2.30 mg/l).The snow-melting process had a considerable influence on the wash-off concentrations of the trace metals on both road and facade surfaces.It reduced ＞38％ and ＞79％ of metals and TS concentrations in the facade surface and road surface runoff respectively.The wash-off concentrations of Cd,Cu,and Zn on the road surface 45-780％ higher than those on the facade surfaces.The sensitivity analysis based on the Bayesian network indicates that the wash-off concentrations of metals were mainly dependent on the antecedent environmental conditions or the surface properties while the sampling methods had a minor influence.Therefore,to accurately model the pollutant migration in the surface runoff requires an improving method considering different surfaces and antecedent environment conditions.

Trace metalRoad and facadeWash-offSnowmeltBayesian network

Zhenvu Wang、Pei Hua、Heng Dai、Rui Li、Beidou Xi、Dongwei Gui、Jin Zhang、Peter Krebs

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Institute of Urban Water Management, Technische Universit(a)t Dresden, 01062, Dresden, Germany

The Environmental Research Institute, MOE Key Laboratory of Environmental Theoretical Chemistry, South China Normal University, 510006, Guangzhou,China

Institute of Groundwater and Earth Sciences, Jinan University, 510632, Guangzhou, China

State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing, 100012, China

State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences,Urumqi, 830011, Xinjiang,China

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authors would like to gratefully thank Mrs.Ann Marie Lotz Valverde,Mr.Julian David Reyes Silva and Mr.Viacheslav Safronskii This work was jointly supported by the project of "Collaborative early warning information systems for urban infrastructures (CO

Grant no : 03G0852A

2020

环境科学与技术
湖北省环境科学研究院

环境科学与技术

CSTPCDCSCD北大核心
影响因子：0.943
ISSN：1003-6504
年,卷(期)：2020.2(4)
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