The Influence of Different Pavement Surfaces on Atmospheric Copper, Lead, Zinc, and Suspended Solids Attenuation and Wash-Off

Murphy, Louise U.; Cochrane, Thomas A.; O’Sullivan, Aisling D.

doi:10.1007/s11270-015-2487-2

Cited by 17 publications

(15 citation statements)

References 47 publications

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“…One important yet relatively seldom studied means of metals transferring to sediments is storm water run-off. Contemporary studies [2,[5][6][7][8][9][10] revealed that storm water run-off carried metals originating from a variety of everyday activities associated with tire wear, corrosion, roof run-off and fuel combustion products. It is well established that run-off from urbanized catchment is abundant in HMs [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…However, little is known as regards the influence of the run-off from urbanized catchment composed of soft, natural surfaces (forest, lawns, gardens) vs run-off from 2 of 14 paved surfaces (roads, sidewalks, squares, fuel stations) on the metals levels in the run-off receivers. The types of pavements are not equivalent from the spreading pollutants in watershed management perspective [6]. Within a city different kinds of retention tanks (RTs) are built in order to intercept the overflow of storm water [14,15].…”

Section: Introductionmentioning

confidence: 99%

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Heavy Metals in Sediments of Urban Streams: Contamination and Health Risk Assessment of Influencing Factors

et al. 2019

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Sediments of two urban streams in northern Poland outflowing to the Baltic Sea were assessed to explain the spatial variation in relation to urbanization level of the catchment, the role of retention tanks (RTs) and identification of pollution level. During the 3 month period of investigation sediment samples were collected from the inflow (IN) and outflow (OUT) of six RTs located on streams for flood protection. Six heavy metals (HMs) were investigated: Cu, Pb, Zn, Cd, Ni, Cr. The assessment of four geochemical enrichment indices used to quantify contamination of HMs in the sediments at IN and OUT samples was carried out. Contamination factor (CF), pollution load index (PLI), geoaccumulation index (Igeo) and potential ecological risk (RI) were calculated and the indices usefulness was assessed. Also, the hazard quotient (HQ) was calculated to assess health risk associated with dredging works. In sediments from RTs where paved surfaces constituted more than 70% of the catchment the HMs concentrations were from one to three times higher for Ni and from two to 143 times higher for Cu in comparison to soft catchment results. The extremely high Cu concentration (1114 mg/kg d.w.) found in sediments at RT Orłowska IN was most likely associated with large area of roofs covered with copper sheet. Calculation of CF, PLI, Igeo, RI, HQ indicators allows for a complex and multi-dimensional assessment of sediment status. Among these, CF and PLI classified the analyzed sediments as most polluted. Basing on the sedimentary HMs concentrations the health risk level via dermal exposure pathway was assessed as low.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Heavy Metals in Sediments of Urban Streams: Contamination and Health Risk Assessment of Influencing Factors

et al. 2019

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“…The transportation-based land uses both demonstrated a strong correlation of pollutant load to antecedent dry days (ADD) (Antunes and Ramísio, 2015;Sajjad et al, 2015), with the Sajjad study showing that the pollutant load from light rail was 2 to 9 times less than an Zhang, Li, and Dai (2015) investigated the washoff of sediment from road surfaces based on rainfall characteristics; these studies indicated an increase in TSS concentration with longer rainfall duration, greater rainfall intensity and greater ADD. Murphy et al (2015b) also demonstrated a link between TSS in runoff and pavement type, with impermeable concrete having the largest TSS load in runoff. Similarly, Chow et al (2015) showed an increasing TSS buildup on roadways based on ADD, with sediment build-up generally reaching a maximum at 5 days in several areas in southern Malaysia.…”

Section: Stormwater Quantitymentioning

confidence: 86%

Urban Stormwater Characterization, Control, and Treatment

Vogel

Moore²

2016

Water Environment Research

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The following review presents a synthesis of 181 journal articles published during 2015 that represent progress toward better characterizing, controlling, and treating urban stormwater runoff. The review is structured by general topical areas related to (1) stormwater quality and quantity characterization; (2) engineered stormwater control and treatment practices, including erosion and sediment control, stormwater ponds, constructed stormwater wetlands, bioretention, permeable pavement, greenroofs, and rainwater harvesting systems; and (3) watershed-scale modeling and optimization of stormwater control and treatment practices. Common research themes emerging from this collection of studies include potential to enhance hydrologic and pollutant treatment performance of stormwater practices via media amendments and the use of innovative outlet control structures, as well as development of a more mechanistic understanding of hydrologic and water-quality functions to inform modeling and performance predictions. These studies serve to expand the field's knowledge base and will inform future efforts to further improve stormwater control and treatment at various spatial and temporal scales.

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“…That mainly results from the complex processes involved in the formation and transport of sediments and pollutants within the catchment. In a vast majority of papers, the factors that influence the quality of sediments are defined in general terms [22][23][24][25][26][27]. The studies state that the quality of sediments depends on atmospheric conditions, catchment characteristics, or stormwater runoff dynamics.…”

Section: Independent Variables and Their Selectionmentioning

confidence: 99%

Modeling of Heavy Metal (Ni, Mn, Co, Zn, Cu, Pb, and Fe) and PAH Content in Stormwater Sediments Based on Weather and Physico-Geographical Characteristics of the Catchment-Data-Mining Approach

Bąk

Szeląg

Sałata

et al. 2019

Water

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The processes that affect sediment quality in drainage systems show high dynamics and complexity. However, relatively little information is available on the influence of both catchment characteristics and meteorological conditions on sediment chemical properties, as those issues have not been widely explored in research studies. This paper reports the results of investigations into the content of selected heavy metals (Ni, Mn, Co, Zn, Cu, Pb, and Fe) and polycyclic aromatic hydrocarbons (PAHs) in sediments from the stormwater drainage systems of four catchments located in the city of Kielce, Poland. The influence of selected physico-geographical catchment characteristics and atmospheric conditions on pollutant concentrations in the sediments was also analyzed. Based on the results obtained, statistical models for forecasting the quality of stormwater sediments were developed using artificial neural networks (multilayer perceptron neural networks). The analyses showed varied impacts of catchment characteristics and atmospheric conditions on the chemical composition of sediments. The concentration of heavy metals in sediments was far more affected by catchment characteristics (land use, length of the drainage system) than atmospheric conditions. Conversely, the content of PAHs in sediments was predominantly affected by atmospheric conditions prevailing in the catchment. The multilayer perceptron models developed for this study had satisfactory predictive abilities; the mean absolute error of the forecast (Ni, Mn, Zn, Cu, and Pb) did not exceed 21%. Hence, the models show great potential, as they could be applied to, for example, spatial planning for which environmental aspects (i.e., sediment quality in the stormwater drainage systems) are accounted.

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The Influence of Different Pavement Surfaces on Atmospheric Copper, Lead, Zinc, and Suspended Solids Attenuation and Wash-Off

Cited by 17 publications

References 47 publications

Heavy Metals in Sediments of Urban Streams: Contamination and Health Risk Assessment of Influencing Factors

Heavy Metals in Sediments of Urban Streams: Contamination and Health Risk Assessment of Influencing Factors

Urban Stormwater Characterization, Control, and Treatment

Modeling of Heavy Metal (Ni, Mn, Co, Zn, Cu, Pb, and Fe) and PAH Content in Stormwater Sediments Based on Weather and Physico-Geographical Characteristics of the Catchment-Data-Mining Approach

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