Investigation clogging dynamic of permeable pavement systems using embedded sensors

Razzaghmanesh, Mostafa; Borst, Michael

doi:10.1016/j.jhydrol.2018.01.012

Cited by 27 publications

(12 citation statements)

References 23 publications

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“…These locations had either side road parking strips or permeable pavement parking lots. In these studies, the hypothesis was that the clogging progresses from the upstream boundary of the permeable pavement section toward the downstream boundary and this was generally supported by earlier studies [14,28]. In the case of permeable pavement strips, the clogging progressed from the road curbside perpendicular to the road car traffic.…”

Section: Sensors and Modelling Effortsmentioning

confidence: 54%

“…Various types of TDRs and WCRs have been used for clogging mechanism investigations in various locations across the USA [14,28,29]. These locations had either side road parking strips or permeable pavement parking lots.…”

Section: Sensors and Modelling Effortsmentioning

confidence: 99%

“…In the case of permeable pavement strips, the clogging progressed from the road curbside perpendicular to the road car traffic. Tipping bucket rain gauges were buried under the permeable pavement section in one of these studies [14] as an alternative method for studying the clogging mechanisms. Cumulative recordings from the buried tipping bucket rain gauges were compared with data from a tipping bucket rain gauge that was located on a rooftop of a nearby building.…”

Section: Sensors and Modelling Effortsmentioning

confidence: 99%

“…Pressure transducers are able to record the depth of water ponding inside the storage gallery [14,15,30]. It is then possible to calculate the capture rates and hydraulic head inside the storage gallery.…”

Section: Sensors and Modelling Effortsmentioning

confidence: 99%

“…In addition, if combined with an underground reservoir in warm climates such as Australia, it is then possible to reuse the harvested water in urban landscapes [10,12]. In addition, in areas with native soils of low infiltration capacity, the addition of underground reservoirs improves the exfiltration performance of the permeable pavement system [13,14]. There are three types of common permeable pavements, namely porous concrete (PC), permeable interlocking concrete pavers (PICP), and porous asphalt (PA) [15][16][17].…”

Section: Introductionmentioning

confidence: 99%

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A Review of Permeable Pavement Clogging Investigations and Recommended Maintenance Regimes

Razzaghmanesh

Beecham

2018

Water

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Understanding clogging mechanisms in permeable pavements can help optimize the required maintenance regime. In this review paper, methods for investigating clogging mechanisms are described. These include surface infiltration methods, the use of embedded sensors, and the development of modelling tools. Previously conducted surface infiltration tests indicate the importance of the age of a permeable pavement system and also local climatic conditions, including rainfall intensity. The results indicate that porous concrete generally has the highest infiltration capacity and this is followed by permeable interlocking concrete pavement and then porous asphalt. The measured infiltration rates decreased significantly even within two years of installation. There was an indirect relationship between surface infiltration rates and the age of the pavements. It was also found that the rainfall characteristics are important in selecting the type of pavement. Sensor technologies have been used mainly in the United States and there has been a reluctance to use such technologies in other parts of the world. Few studies have been conducted into modelling the changing performance of permeable pavement systems over time and there is a need to develop more general models. Various methods and machinery have been developed for cleaning and maintaining permeable pavements and there is no universally preferred approach currently available. Indeed, several of the commonly used maintenance methods have been shown to be relatively ineffective.

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Section: Sensors and Modelling Effortsmentioning

confidence: 54%

Section: Sensors and Modelling Effortsmentioning

confidence: 99%

Section: Sensors and Modelling Effortsmentioning

confidence: 99%

Section: Sensors and Modelling Effortsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Review of Permeable Pavement Clogging Investigations and Recommended Maintenance Regimes

Razzaghmanesh

Beecham

2018

Water

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Urban stormwater characterization, control, and treatment

Rodak

Moore

David³

et al. 2019

Water Environment Research

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This review summarizes over 250 studies published in 2018 related to the characterization, control, and management of urban stormwater runoff. The review covers three broad themes: (a) quantity and quality characterization of stormwater, (b) control and treatment of stormwater runoff, and (c) implementation and assessment of watershed‐scale green stormwater infrastructure (GSI). Each section provides an overview of the 2018 literature, common themes, and future work. Several themes emerged from the 2018 literature including exploration of contaminants of emerging concern within stormwater systems, characterization and incorporation of vegetation‐driven dynamics in stormwater control measures, and the need for interdisciplinary perspectives on the implementation and assessment of GSI.Practitioner points Over 250 studies were published in 2018 related to the characterization, control, and treatment of stormwater. Studies cover general stormwater characteristics, control and treatment systems, and watershed‐scale assessments. Trends in 2018 include treatment trains, vegetation dynamics, and interdisciplinary perspectives.

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Artificial Intelligence-Based Prediction of Permeable Pavement Surface Infiltration Rates

Malik

Abogadil

Khan

et al. 2022

Lecture Notes in Civil Engineering

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Permeable pavements are a type of low impact development technology that is an alternative to conventional asphalt pavements. These pavements are used to address urban stormwater runoff concerns through infiltration and storage. Overtime, sediments carried by stormwater runoff degrade the performance of these pavements and can eventually diminish the infiltration capacity to the point where no infiltration takes place.Maintenance procedures have been developed for permeable pavements and these procedures are necessary for sufficient long-term hydraulic performance. However, these procedures are expensive and are thus performed infrequently or not at all, leading to many permeable pavement systems that no longer perform at their designed infiltration capacity.The objective of this research is to develop a data-driven model to predict the infiltration rate of permeable pavements. Four permeable concrete lab specimens were constructed and subjected to clogging cycles while obtaining surface images and infiltration data. An artificial neural network was created to investigate the relationship between the images of the pavement surface and its associated surface infiltration rate.Images of the surface were converted to grayscale and parameters of the grayscale image, namely the mean, variance, and skewness, were used as inputs to the model.Modelling results presented in this thesis demonstrate that the use of images of the surface of a pavement were adequate in predicting the surface infiltration rate. Image parameters were seen to have significant trends as test cycles progressed. In general, images of specimens that yielded lower SIRs were whiter (larger grayscale mean), more compact (smaller grayscale variance), and had a larger positive skewness. These models can be used to estimate the surface infiltration rates of permeable concrete pavements, leading to more widespread maintenance and thus, ensure the designed hydraulic performance level is maintained.iii TABLE OF CONTENTS ABSTRACT .

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Investigation clogging dynamic of permeable pavement systems using embedded sensors

Cited by 27 publications

References 23 publications

A Review of Permeable Pavement Clogging Investigations and Recommended Maintenance Regimes

A Review of Permeable Pavement Clogging Investigations and Recommended Maintenance Regimes

Urban stormwater characterization, control, and treatment

Artificial Intelligence-Based Prediction of Permeable Pavement Surface Infiltration Rates

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