Stormwater Quality, Pollutant Sources, Processes, and Treatment Options

Goonetilleke, Ashantha; Lampard, Jane-Louise

doi:10.1016/b978-0-12-812843-5.00003-4

Cited by 15 publications

(11 citation statements)

References 88 publications

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“…where V sample is the measured withdrawn sample volume of each experiment in mL and h cone is the height of the truncated cone in cm. The determined h cone was used to adjust w crit to simulate the results of the experiments following Equation 8w crit = 76 − h cone 0.417 (8) where w crit is the critical settling velocity in m s −1 , which is the minimal settling velocity of the particles-withdrawn sample after 4 min, and h cone the height of the truncated cone with the same shape as the utilized glass columns and the volume of the withdrawn sample in mL.…”

Section: Model B: Spherical Particles With Consideration Of the Withdmentioning

confidence: 99%

“…RDS contains inorganic and organic pollutants such as heavy metals (e.g., Cu, Zn, Pb, Cd, Cr, Ni) and polycyclic aromatic hydrocarbons (PAH) [4][5][6]. To mitigate the effect caused by RDS on the environment, stormwater control measures (SCMs) such as stormwater quality improvement devices (SQIDs) and detention basins are designed to retain RDS from stormwater runoff by sedimentation or filtration [7,8]. However, previous studies have shown that SCMs exhibit reduced retention efficiency under winter conditions caused by low temperature and deicing salts [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Settling of Road-Deposited Sediment: Influence of Particle Density, Shape, Low Temperatures, and Deicing Salt

Rommel

Gelhardt

Welker

2020

Water

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Separation of particulate matter (PM) is the most important process to achieve a reduction of contaminants present in road runoff. To further improve knowledge about influencing factors on the settling of road-deposited sediment (RDS), samples from three sites were collected. Since particle size distribution (PSD) has the strongest effect on settling, the samples were sieved to achieve comparable PSDs so that the effects of particle density, shape, fluid temperature, and deicing salt concentration on settling could be assessed using settling experiments. Based on the experimental data, a previously proposed model that describes the settling of PM was further developed and validated. In addition, RDS samples were compared to a standard mineral material, which is currently in use to evaluate treatment efficiency of stormwater quality improvement devices. The main finding was that besides PSD, particle density is the most important influencing factor. Particle shape was thoroughly described but showed no significant improvement of the prediction of the settled mass. Temperature showed an effect on PM settling; deicing salts were negligible. The proposed models can sufficiently predict the settling of RDS in settling column experiments under varying boundary conditions and are easily applicable.

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Section: Model B: Spherical Particles With Consideration Of the Withdmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Settling of Road-Deposited Sediment: Influence of Particle Density, Shape, Low Temperatures, and Deicing Salt

Rommel

Gelhardt

Welker

2020

Water

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“…Watershed characteristics such as land use, vegetation and soil will be linked to the runoff curve number to show the potential runoff that occurs due to certain rainfall. This is because the quality and quantity characteristics of rainwater will be influenced by the natural elements of a catchment area, such as landscape characteristics, land use, soil characteristics, surface range and percentage of impermeable surface (Goonetilleke & Lampard, 2019). In this study, infiltration as a component of the water cycle changes as a result of an increase in the impermeability area in urban areas, which is also described by the CN index and surface deviation (S).…”

Section: Hydrological Analysis: Soil Consevation Service-curve Number...mentioning

confidence: 97%

Scenario of Water Sensitive Urban Design for Cimahi City, Indonesia

Ari,

Dein,

Hariyani

2023

IOP Conf. Ser.: Earth Environ. Sci.

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Cimahi City as a part of the Upper Citarum Sub-Watershed has problems with flooding, land subsidence, and clean water crisis caused by urban development. Currently, the multidisciplinary approach to urban water management has been expanded to include the hydrological cycle in it; one of the concepts that has been developed is water-sensitive urban design (WSUD). The purpose of this study is to measure changes in surface runoff as a result of changes in infiltration and runoff processes in the water cycle, calculate planned flood volume, determine the potential location and area of five WSUD elements, and formulate and measure the capability of WSUD scenarios in Cimahi City. This study uses the algebraic average, soil conservation service curve figures (SCS-CN), log-Pearson-III distribution, planned flood volume, and geospatial analysis. Based on the results of the SCS-CN method in Cimahi City in 3 time spans (2013, 2016, and 2019), there was an increase in the CN index and a decrease in the value of surface drift (S) that reflected the potential for runoff water produced. However, at the next stage of analysis, the SCS-CN method showed a decrease in surface runoff; this was due to the decreased rainfall from 2013 to 2016, then from 2016 to 2019 in Cimahi City. The geospatial analysis resulted in the potential location and area of five WSUD elements in Cimahi City. Furthermore, after testing the effectiveness of five WSUD elements and formulating a WSUD scenario, three WSUD elements were obtained as a part of the WSUD scenario in this study, namely sediment basin, retarding basin with, and stormwater harvesting. Last, the measurement of the WSUD scenario capability shows that the WSUD scenario reduces the planned flood volume by 84%.

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“…1). 2 Pollutants (gases and particulate matter) in the atmosphere reach stormwater via precipitation or dry deposition. 18,[25][26][27] Stormwater pollution is caused by the mechanical wear of automobile tires and the discharge of microplastics (MPs) into water flowing over paved surfaces.…”

Section: Sources and Constituents In Stormwatermentioning

confidence: 99%