scholarly journals Assessment of Restorative Maintenance Practices on the Infiltration Capacity of Permeable Pavement

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1563 ◽  
Author(s):  
Mari Danz ◽  
William Selbig ◽  
Nicolas Buer

Permeable pavement has the potential to be an effective tool in managing stormwater runoff through retention of sediment and other contaminants associated with urban development. The infiltration capacity of permeable pavement declines as more sediment is captured, thereby reducing its ability to treat runoff. Regular restorative maintenance practices can alleviate this issue and prolong the useful life and benefits of the system. Maintenance practices used to restore the infiltration capacity of permeable pavement were evaluated on three surfaces: Permeable interlocking concrete pavers (PICP), pervious concrete (PC), and porous asphalt (PA). Each of the three test plots received a similar volume of runoff and sediment load from an adjacent, impervious asphalt parking lot. Six different maintenance practices were evaluated over a four-year period: Hand-held pressure washer and vacuum, leaf blower and push broom, vacuum-assisted street cleaner, manual disturbance of PICP aggregate, pressure washing and vacuuming, and compressed air and vacuuming. Of the six practices tested, five were completed on PICP, four on PC, and two on PA. Nearly all forms of maintenance resulted in increased average surface infiltration rates. Increases ranged from 94% to 1703% for PICP, 5% to 169% for PC, and 16% to 40% for PA. Disruption of the aggregate between the joints of PICP, whether by simple hand tools or sophisticated machinery, resulted in significant (p ≤ 0.05) gains in infiltration capacity. Sediment penetrated into the solid matrix of the PC and PA, making maintenance practices using a high-pressure wash followed by high-suction vacuum the most effective for these permeable pavement types. In all instances, when the same maintenance practice was done on multiple surfaces, PICP showed the greatest recovery in infiltration capacity.

RBRH ◽  
2020 ◽  
Vol 25 ◽  
Author(s):  
Marília Neves Marinho ◽  
Artur Paiva Coutinho ◽  
Severino Martins dos Santos Neto ◽  
Cézar Augusto Casagrande ◽  
Guilherme Teotônio Leite Santos ◽  
...  

ABSTRACT Permeable pavement (PP) is an alternative for the management of urban rainwater that allows the reduction of effective precipitation through the infiltration process. In this study was evaluated the infiltration capacity of a PP of hollow concrete blocks in a parking lot of the Federal University of Pernambuco. The hydraulic characterization and the infiltration capacity were analyzed in real scale, using a simple ring infiltrometer of 100 cm in diameter through the Beerkan method. Infiltration tests were carried out at twelve points of the PP. The BEST algorithm was applied in it Best-Intercept and Best-Slope version, to estimate the hydraulic parameters of the van Genutchen and Brooks and Corey equations for the retention and hydraulic conductivity of the PP surface. The values of saturated hydraulic conductivity determined by the BEST Intercept method were higher than those obtained by BEST Slope. The sorptivity values estimated by BEST Slope and Intercept were similar, with BEST Slope values slightly higher. Moderate infiltration variability was observed on the PP surface, as well as within the same type of texture. The Beerkan method proved to be adaptable to measure, in field scale, the three-dimensional infiltration in the PP covering layer.


2012 ◽  
Vol 17 (5) ◽  
pp. 597-603 ◽  
Author(s):  
Jorge Rodriguez-Hernandez ◽  
Daniel Castro-Fresno ◽  
Andrés H. Fernández-Barrera ◽  
Ángel Vega-Zamanillo

1990 ◽  
Vol 70 (4) ◽  
pp. 593-605 ◽  
Author(s):  
M. A. NAETH ◽  
R. L. ROTHWELL ◽  
D. S. CHANASYK ◽  
A. W. BAILEY

Infiltration capacity is generally reduced with increased grazing intensity and reduced range condition, mainly through vegetation and litter removal, soil structure deterioration, and compaction. Only one study has documented the effect of grazing on Canadian rangelands, necessitating further investigation. In this study, impacts of long-term grazing on infiltration were assessed in mixed prairie and fescue grassland ecosystems of southern and central Alberta, Canada. Grazing regimes were of light to very heavy intensities, grazed early, late, and continuously during the growing season. Ungrazed controls were evaluated at each site. Infiltration was measured with double ring infiltrometers. Heavy intensity and/or early season grazing had greater impact on infiltration than light intensity and/or late season grazing. In mixed prairie, initial and steady state infiltration rates in the control were 1.5 and 1.7 times higher, respectively, than those in the early season grazed treatment. In parkland fescue, initial rates were lowest in June grazed treatments and steady state rates were highest in light autumn grazed and control treatments. Initial infiltration rates in foothills fescue control and light grazed treatments were 1.5–2.3 times those in heavy and very heavy grazed treatments. Steady state rates were 1.5–2 times higher in light grazed and control treatments than in moderate, heavy, and very heavy grazed treatments. Key words: Infiltration, infiltration rate, grazing, rangelands


2013 ◽  
Vol 361-363 ◽  
pp. 1503-1506
Author(s):  
Jyh Dong Lin ◽  
Chen Yu Hsu ◽  
Yu Min Su

This study was to evaluate the permeable pavement constructed topdown by porous asphalt, compacted natural grading base materials, in-situ soil blended with coarse sand, and geotextile with crushed gravel. The permeable pavement was paved on the field testing site where it was installed a rainfall simulation device to control the intensity of rainfall. The coefficient of permeability and water content for each layer were collected as well as the volumetric water of infiltration and surface run-off. Test results show that the permeability of surface layer was degrading severely after nine years in service, while base and subbase remained functional. While rainfall simulation performed, it indicates that the permeable pavement can retain 0.2139m3 of water with infiltration and surface run-off measured by 0.4665m3 and 0.1413m3, respectively. The analysis of flood peak present that permeable pavement can delay the occurrence of flood peak generated by the surface run-off and ease it quickly by continuous infiltration.


2021 ◽  
Vol 69 (3) ◽  
pp. 332-346
Author(s):  
Larissa Virgínia da Silva Ribas ◽  
Artur Paiva Coutinho ◽  
Laurent Lassabatere ◽  
Severino Martins dos Santos Neto ◽  
Suzana Maria Gico Lima Montenegro ◽  
...  

Abstract The permeable pavement is a compensatory drainage technique for urban waters that aims to control runoff and to ensure ideal hydrological conditions. This work had as main objectives to evaluate the infiltration capacity of a permeable pavement (PP) at real scale, through analytical and numerical modeling. It relies on water infiltration experiments and related modeling for the hydrodynamic characterization of the coating layer (saturated hydraulic conductivity, Ks , and sorptivity, S). A large panel of analytical and numerical models was considered, and several estimates were obtained. Then, the criteria for the evaluation of the maintenance requirement of the permeable pavements were computed for all the Ks -estimates considering the NCRS standards (assessment of permeability levels). The results indicated nice fits and accurate estimates for both the saturated hydraulic conductivity and the sorptivity. However, the Ks -estimates depended on the considered model and led to contrasting results in terms of classification. For 8 of the 9 models, the value of the Ks -estimate leads to the classification of “Group A” of the NCRS soil classification, meaning a very permeable material. In contrasts, the last method (numerical inverse modeling) classified the permeable pavement as “Group D”, i.e., soils with low permeability. Those results show the importance of the selection of characterization methods regarding the assessment of the hydrological classification of permeable pavements.


Author(s):  
Alaa Nabil El-Hazek

This paper presents an Excel approach for infiltration capacity for different types of lands. That is to employ the popular Microsoft Excel software to represent the measured infiltration data graphically. Regression analysis is performed for the accumulated infiltration versus the time. Equations are obtained to predict the accumulated infiltration at required times. Thirty one raw infiltration measurements from various sources are gathered, studied and analyzed applying this approach. Measurements include different types of soil textures and land covers. The infiltration rates are measured by the commonly used infiltrometer. Both single infiltrometer and double infiltrometer are employed. It is concluded that the presented Polynomial infiltration model of Excel approach for the accumulated infiltration is associated with high accuracy, where the values of coefficient of determination (R2) range between 0.9850 and 0.9998. The obtained equations can help in irrigation processes. All the gathered raw experimental infiltration measurements are also analyzed employing Horton and Kostiakov infiltration models. It is found that the Polynomial infiltration model of Excel approach has higher accuracy, followed by Kostiakov model, and finally Horton model. The values of different constants of Horton and Kostiakov infiltration models for all cases are obtained. The accuracy of the Polynomial, Horton and Kostiakov infiltration models are studied considering the types of soil texture and land cover. Investigating the constants A, B and C of the obtained equation of the polynomial infiltration model of Excel approach, it is found that all A values are negative, all B values are positive, and all C values are positive except for sandy clay and sandy clay loam soils. There is no specific trend for the effect of the associated land cover on constants A, B, and C except for loamy sand soil, where B and C values for bare land are greater than their values for irrigated land.


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