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Source Apportionment and Risk Assessment of Urban Diffuse Pollutants of Heavy Metals and Polycyclic Aromatic Hydrocarbons on Urban Watershed

In this Dissertation, systematic work has been carried out to study the road-deposited sediment and its adsorbed pollutants from a stormwater pollution perspective. Solid-phase concentration, surface load, source apportionment, risk assessment, and desorption dynamics of polycyclic aromatic hydrocarbons and/or heavy metals in road-deposited sediments (RDS) were investigated. In order to provide data to assist potential strategies of stormwater pollution mitigation and integrated catchment management to minimise the adverse impacts of RDS adsorbed pollutants on stormwawter quality, the following specific topics were addressed.

⑴ The influences of traffic load and antecedent dry-weather period on pollution level and ecological risk of heavy metals in RDS were analyzed.
⑵ The build-up dynamics and chemical fractionation of metals were determined.
⑶ The potential source contributions and risk assessment of polycyclic aromatic hydrocarbons in size-fractionated RDS were firstly determined by a Principal component analysis - Multiple linear regression receptor model.
⑷ The qualitative and quantitative source apportionments of polycyclic aromatic hydrocarbons were subsequently investigated through a combined qualitative Molecular Diagnostic Ratio and quantitative Positive Matrix Factorization source apportionment with an extended data set.
⑸ The exposure risk of polycyclic aromatic hydrocarbons were evaluated and calculated by incremental lifetime cancer risk models.
⑹ Then, a novel ecological risk assessment approach to the RDS adsorbed toxic substances was developed, which was explored exclusively for the study of RDS for a water pollution aspect.
⑺ Finally, the effects of rainwater, major wastewater constituents of dissolved organic matter and surfactant on the leaching of heavy metals from RDS were carried out.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:30225
Date15 March 2019
CreatorsZhang, Jin
ContributorsKrebs, Peter, Liao, Zhenliang, Borchardt, Dietrich, Technische Universität Dresden
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageEnglish
Detected LanguageEnglish
Typedoc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess

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