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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Zhenyu Wang - , Professur für Siedlungswasserwirtschaft (Autor:in)
  • Pei Hua - , South China Normal University (Autor:in)
  • Heng Dai - , Jinan University (Autor:in)
  • Rui Li - , Chinese Research Academy of Environmental Sciences (Autor:in)
  • Beidou Xi - , Chinese Research Academy of Environmental Sciences (Autor:in)
  • Dongwei Gui - , CAS - Xinjiang Institute of Ecology and Geography (Autor:in)
  • Jin Zhang - , Jinan University (Autor:in)
  • Peter Krebs - , Professur für Siedlungswasserwirtschaft (Autor:in)

Abstract

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.

Details

OriginalspracheEnglisch
Aufsatznummer100017
FachzeitschriftEnvironmental Science and Ecotechnology
Jahrgang2
PublikationsstatusVeröffentlicht - Apr. 2020
Peer-Review-StatusJa

Schlagworte

Ziele für nachhaltige Entwicklung

Schlagwörter

  • Bayesian network, Road and facade, Snowmelt, Trace metal, Wash-off