Stormwater quality of spring–summer-fall effluent from three partial-infiltration permeable pavement systems and conventional asphalt pavement

Drake, Jennifer; Bradford, Andrea; Seters, Tim Van

doi:10.1016/j.jenvman.2013.11.056

Cited by 103 publications

(62 citation statements)

References 11 publications

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“…PPS has been shown to not only mitigate stormwater water quantities [1][2][3][4][5][6][7] but water quality as well [1,[8][9][10]. Various types of PPS have seen increasing use in recent years including porous asphalt, porous concrete, and permeable interlocking concrete pavers [11,12].…”

Section: Introductionmentioning

confidence: 99%

Determining Surface Infiltration Rate of Permeable Pavements with Digital Imaging

Valeo

Gupta

2018

Water

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Cell phone images of pervious pavement surfaces were used to explore relationships between surface infiltration rates (SIR) measured using the ASTM C1701 standard test and using a simple falling head test. A fiber-reinforced porous asphalt surface and a highly permeable material comprised of stone, rubber and a polymer binder (Porous Pave) were tested. Images taken with a high-resolution cellphone camera were acquired as JPEG files and converted to gray scale images in Matlab ® for analysis. The distribution of gray levels was compared to the surface infiltration rates obtained for both pavements with attention given to the mean of the distribution. Investigation into the relationships between mean SIR and parameters determined from the gray level distribution produced in the image analysis revealed that mean SIR measured in both pavements were proportional to the inverse of the mean of the distribution. The relationships produced a coefficient of determination over 85% using both the ASTM and the falling head test in the porous asphalt surface. SIR measurements determined with the ASTM method were highly correlated with the inverse mean of the distribution of gray levels in the Porous Pave material as well, producing coefficients of determination of over 90% and Kendall's tau-b of roughly 70% for nonparametric data.

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Section: Introductionmentioning

confidence: 99%

Determining Surface Infiltration Rate of Permeable Pavements with Digital Imaging

Valeo

Gupta

2018

Water

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“…Water 2016, 8,429 7 of 12 these reservoirs, the source of these compounds could be dead plant remains, and in reservoir No. 9, in which the dominating source of nitrogen compounds could be deposition of nitrogen oxides from fuel combustion [17].…”

Section: Indicators Characterizing the Nutrient Conditionsmentioning

confidence: 99%

“…the total pollutant mass delivered to the surface water systems such as rivers and lakes [8]. During the infiltration of collected runoff water, the pollutants may be adsorbed, transformed, biologically degraded or volatised [9,10].…”

mentioning

confidence: 99%

Quality of Water in the Road Drainage Systems in the Warsaw Agglomeration, Poland

Fronczyk

Radziemska

Dynowski

et al. 2016

Water

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“…Porous pavements also allow for considerable water quality improvements by treating and trapping stormwater pollutants [14,16]. Drake et al, (2014) [17] examined the water quality performance of three porous pavement systems over spring, summer and fall in Ontario, Canada. The study showed that the use of porous pavements can mitigate the impact of urbanization on receiving surface water systems through quantity control and stormwater treatment.…”

Section: Introductionmentioning

confidence: 99%

Filtering Capability of Porous Pavements

Thives

Ghisi

Brecht

et al. 2017

The 2nd International Electronic Conference on Water Sciences

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Abstract:The objective of this study is to assess the filtering capability of porous pavement models and the quality of rainwater and stormwater filtered by such models. Three slabs of porous asphalt mixtures and two systems composed of porous layers that resulted in porous pavement structures were produced. Data were collected in two phases: using rainwater directly from the sky and then using stormwater collected from a street. The models with different layers were assembled in acrylic boxes and rainwater was stored in the boxes in each rainfall event. Parameters such as pH, dissolved oxygen, ammonia, phosphorus, nitrite, aluminium, chromium, copper, zinc and iron were measured. The infiltration capacity of the models varied from 83.4% to 83.7%. For both rainwater and stormwater quality analyses, there was an increase in the concentration of the following parameters: phosphorus, iron, aluminium, zinc, nitrite, chromium, cooper and pH; there was no significant variation in the concentration of dissolved oxygen; and there was a decrease in ammonia in one of the models. However, the concentrations of only phosphorus and aluminium exceeded the limits established by the Brazilian National Environmental Council and National Water Agency for the use of non-potable water. The models were capable of filtering rainwater and stormwater, and reducing the concentration of ammonia. It can be concluded that it is possible to collect stormwater from asphalt porous surfaces and porous pavements. Porous pavements are able to filter out certain pollutants from stormwater and rainwater, and were shown to be an alternative to harvest rainwater for non-potable uses and to recharge the water table.

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Stormwater quality of spring–summer-fall effluent from three partial-infiltration permeable pavement systems and conventional asphalt pavement

Cited by 103 publications

References 11 publications

Determining Surface Infiltration Rate of Permeable Pavements with Digital Imaging

Determining Surface Infiltration Rate of Permeable Pavements with Digital Imaging

Quality of Water in the Road Drainage Systems in the Warsaw Agglomeration, Poland

Filtering Capability of Porous Pavements

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