Special Issue "Permeable Pavements and Their Role in Sustainable Urban Development"

A special issue of Water (ISSN 2073-4441).

Deadline for manuscript submissions: 28 February 2018

Special Issue Editor

Guest Editor
Assoc. Prof. Terry Lucke

Stormwater Research Group (SWRG), School of Science and Engineering, University of the Sunshine Coast, Building H1.Room 2.48, QLD 4558 Australia
Website | E-Mail
Phone: +61 7 5456 5185

Special Issue Information

Dear Colleagues,

Permeable (or porous) pavements have been in commercial use now for around three decades globally, and they are often used as an alternative to conventional hard impervious surfaces, such as roads, car parks, footpaths, and pedestrian areas. They are generally implemented as part of an overall water management strategy, such as Sustainable Urban Drainage Systems (SUDS) in Europe, Water Sensitive Urban Design (WSUD) in Australia, or Low Impact Development (LID) in the USA. Permeable pavements have considerably different design objectives and requirements than conventional pavements. Their use can result in numerous stormwater management and environmental benefits including reducing peak runoff volumes and velocities from paved areas, reducing downstream pollution loads, improving infiltration and water table recharge and providing more potential stormwater harvesting and reuse options. While the use of permeable pavements has markedly increased in recent years, there are still some significant barriers to their more widespread adoption.  This Special Issue will focus on the role of permeable pavements in sustainable urban development. Potential research areas include:

  • design advances

  • infiltration performance improvements

  • maintenance issues

  • potential for water reuse

  • governance and regulatory issues

  • pollution removal and water quality improvement

  • stormwater management strategies and opportunities.

I would therefore like to call for original papers to disseminate and share research findings on the role of permeable pavements in sustainable urban development. Papers will be selected by a rigorous peer review procedure with the aim of rapid and wide dissemination of research results, development and application.

Assoc. Prof. Terry Lucke
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1500 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Stormwater pollution

  • Infiltration performance

  • Water quality improvement

  • Maintenance options

  • Water reuse opportunities

Published Papers (2 papers)

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Research

Open AccessArticle Determining Surface Infiltration Rate of Permeable Pavements with Digital Imaging
Water 2018, 10(2), 133; doi:10.3390/w10020133
Received: 22 December 2017 / Revised: 23 January 2018 / Accepted: 29 January 2018 / Published: 31 January 2018
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Abstract
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
[...] Read more.
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. Full article
(This article belongs to the Special Issue Permeable Pavements and Their Role in Sustainable Urban Development)
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Open AccessFeature PaperArticle Hydrologic and Water Quality Evaluation of a Permeable Pavement and Biofiltration Device in Series
Water 2018, 10(1), 33; doi:10.3390/w10010033
Received: 30 November 2017 / Revised: 19 December 2017 / Accepted: 27 December 2017 / Published: 3 January 2018
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Abstract
Two stormwater control measures (SCMs) installed in series were monitored for their individual impact on the hydrology and water quality of stormwater runoff from a 0.08-hectare watershed in Fayetteville, North Carolina, for 22 months. Runoff was first treated by permeable interlocking concrete pavement
[...] Read more.
Two stormwater control measures (SCMs) installed in series were monitored for their individual impact on the hydrology and water quality of stormwater runoff from a 0.08-hectare watershed in Fayetteville, North Carolina, for 22 months. Runoff was first treated by permeable interlocking concrete pavement (PICP), the underdrain of which discharged into a proprietary box filter (Filterra® biofiltration) which combined high-flow-engineered media with modest biological treatment from a planted tree. Due to a deteriorating contributing drainage area and high ratio of impervious area to permeable pavement area (2.6:1), clogging of the permeable pavement surface caused an estimated 38% of stormwater to bypass as surface runoff. Fifty-six percent of runoff volume infiltrated underlying soils, and the remaining 6% exited the Filterra® as treated effluent; the hydrologic benefit of the Filterra® was minimal, as expected. Primary treatment through the PICP significantly reduced event mean concentrations (EMCs) of total suspended solids (TSS), total phosphorus (TP), total nitrogen (TN), and total Kjeldahl nitrogen (TKN) but contributed to a significant increase in nitrate/nitrite (NO2,3–N) concentrations. Secondary treatment by the Filterra® further reduced TSS and TP concentrations and supplemented nitrogen removal such that treatment provided by the overall system was as follows: TSS (removal efficiency (RE): 96%), TP (RE: 75%), TN (RE: 42%), and TKN (RE: 51%). EMCs remained unchanged for NO2,3–N. Despite EMC reductions, additional load reduction due to the Filterra® was modest (less than 2%). This was because (1) a majority of pollutant load was removed via PICP exfiltration losses, and (2) nearly all of the export load was from untreated surface runoff, which bypassed the Filterra®, and therefore the manufactured device never had the opportunity to treat it. Cumulative load reductions (based only upon events with samples collected at each sampling location) were 69%, 60%, and 41% for TSS, TP, and TN, respectively. When surface runoff was excluded, load reductions increased to over 96%; lower run-on ratios (which would reduce clogging rate) and/or increased maintenance frequency might have improved pollutant load removal. Full article
(This article belongs to the Special Issue Permeable Pavements and Their Role in Sustainable Urban Development)
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Evaluation of the impact of seasonal variability and design on green infrastructure performance and modeling

Author: David G Chandler <dgchandl@syr.edu>

Affiliation: Associate Professor, Civil and Environmental Engineering, Syracuse University

Abstract: Increased adoption of green infrastructure practices for stormwater management demands attention to design related performance factors under a range of climate conditions. A comparative study of the performance for different green infrastructure installations was conducted in Syracuse New York. Runoff reduction was predominantly determined by season and type of green infrastructure. The ratio of green infrastructure area to contributing area and surface retention area to contributing area are found to be key design factors. The design of the inlet and texture of the granular media in the storage volume also affect total stormwater capture and rate of loss from storage. The empirical findings of discharge for various types of green infrastructure are not well represented by EPA Stormwater calculator (SWC) indicating the need for monitoring programs to support models of runoff reduction at individual sites.
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