A BMP selection process based on the granulometry of runoff solids in a separate urban catchment

Anta, José; Peña, Enrique; Suárez, Joaquín; Cagiao, Juan

doi:10.4314/wsa.v32i3.5268

Cited by 21 publications

(17 citation statements)

References 16 publications

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“…4) are consistent with those of previous studies investigating particle distribution in urban runoff (Anta et al 2006;Goonetilleke et al 2009;Sansalone and Kim 2008): Particle size in urban runoff was predominantly less than 100 μm. However, the particles are smaller in the Beijing runoff compared with other research results.…”

Section: Particle Size Distribution Of Ss In the Runoffssupporting

confidence: 82%

Nitrogen and phosphorus associating with different size suspended solids in roof and road runoff in Beijing, China

Ren

Wang

et al. 2015

Environ Sci Pollut Res

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Roofs and roads, accounting for a large portion of the urban impervious land surface, have contributed significantly to urban nonpoint pollution. In this study, in Beijing, China, roof and road runoff are sampled to measure the suspended solids (SS), nitrogen (N), and phosphorus (P) contained in particles with different sizes. The SS content in the road runoff (151.59 mg/L) was sevenfold that in the roof runoff (21.13 mg/L, p<0.05). The SS contained more coarse particulates in the roof runoff than in road runoff. The small particulates in the range of 0.45-50 μm consisted of 59 % SS in the roof runoff and 94 % SS in the road runoff. P was mainly attached to particle sizes of 10-50 μm in the roof (73 %) and road (48 %) runoffs, while N was mainly in a dissolved phase state in both runoffs. So, the different associations of N and P raise a challenge in preventing stormwater pollution in urban environments.

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Section: Particle Size Distribution Of Ss In the Runoffssupporting

confidence: 82%

Nitrogen and phosphorus associating with different size suspended solids in roof and road runoff in Beijing, China

Ren

Wang

et al. 2015

Environ Sci Pollut Res

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“…As a result of the heterodisperse size gradation combined with highly variable flow and higher PM density, sampling the entire PSD of wet weather PM are not effectively carried out by automatic samplers (Furumai et al 2002;Li et al 2005) or quantified by standard analytical techniques such as TSS (Gray et al 2000;Bent et al 2001;James 2003;Down and Lehr 2005;Selbig et al 2007). However, automatic samplers and TSS have been widely adopted from wastewater monitoring and continue to be utilized as methods to monitor PM in dry and wet weather flows (Wu et al 1998;Drapper et al 2000;Droste 1997;Taebi and Droste 2004;Anta et al 2006). …”

Section: Aggregate Indices and Sampling Of Particulate Matter In Wet mentioning

confidence: 99%

Size Distribution of Wet Weather and Dry Weather Particulate Matter Entrained in Combined Flows from an Urbanizing Sewershed

Piro

Carbone

Garofalo

et al. 2009

Water Air Soil Pollut

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Urban drainage transports a complex and heterogeneous mixture of aqueous-phase chemicals and also solid-phase particulate matter (PM). In this study, event-scale particle size distribution (PSD) of wet and dry weather flows are measured, modeled, and compared. The flows are generated from a complex urbanizing sewershed (Liguori catchment) in Cosenza, Italy. Results indicate PSDs are heterodisperse, ranging from colloidal to sand-size PM. On an event scale, dry weather PSDs are coarser than wet weather flows, yet within each flow class results indicate flow-limited behavior and only nominal variability during and between events. PSDs from each event and flow category are modeled with a cumulative gamma distribution. Results produced nonparametric distributions of shape (γ) and scaling (α) parameters as well as a d 50 index. Wet weather flows generated statistically significantly higher distributions of γ and α and statistically significantly lower d 50 . Nonparametric parameter distributions illustrate greater, yet still nominal variability for wet weather flows.

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“…These rainfall‐runoff PM characteristics are not effectively captured by automatic samplers (Furumai et al, 2002; Li et al, 2005) or quantified by standard analytical techniques, such as TSS (Gray et al, 2000; Bent et al, 2001; James, 2003; Down and Lehr, 2005; Selbig et al, 2007). None the less, automatic samplers and TSS have been widely adopted from wastewater and persist as sampling and analytical methods to monitor the chemistry of urban rainfall‐runoff and examine the transport of PM (Wu et al, 1998; Andral et al, 1999; Drapper et al, 2000; Taebi and Droste, 2004; Anta et al, 2006).…”

Section: Wastewater Particulate Matter As Total Suspended Solid and Wmentioning

confidence: 99%

Transport of Particulate Matter Fractions in Urban Source Area Pavement Surface Runoff

Sansalone

Kim

2008

J of Env Quality

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This study used manual full cross-sectional flow discrete sampling and suspended sediment concentration (SSC) methods to gravimetrically characterize noncolloidal hetero-disperse particulate matter (PM). This PM was examined as suspended, settleable, and sediment fractions to assess the distinct transport behavior of each PM fraction throughout each runoff event. Eight runoff events loading an urban paved source area watershed were examined to characterize transport of PM (as SSC) and fractions thereof. An event-based PM mass balance demonstrated recoveries exceeding 90%. With respect to PM transport, two phases were differentiated using a first flush index (m = DeltaM/DeltaV) developed in this study. The m >/= 1 and m < 1 transport phases of the coarser settleable/sediment PM accounted for a higher mass fraction of PM transported during higher flow rates, whereas delivery of the finer suspended fraction became more significant at lower flows. A positive relationship between PM concentration and particle size distribution was found for all events. Event mean concentrations (EMCs) of PM (as SSC) were compared with literature EMCs, sampling methods, and PM analysis method (as total suspended solids [TSS]). Particulate matter study results (as SSC) were higher than many published EMCs (as TSS) (p < 0.05). Differences are attributed to full cross-sectional flow sampling and the use of the the SSC method in contrast to automated sampling combined with TSS methods. Representative characterization of hetero-disperse source area PM is important for water chemistry monitoring, regulatory decisions, best management practice performance and maintenance, and PM inventories in urban systems.

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A BMP selection process based on the granulometry of runoff solids in a separate urban catchment

Cited by 21 publications

References 16 publications

Nitrogen and phosphorus associating with different size suspended solids in roof and road runoff in Beijing, China

Nitrogen and phosphorus associating with different size suspended solids in roof and road runoff in Beijing, China

Size Distribution of Wet Weather and Dry Weather Particulate Matter Entrained in Combined Flows from an Urbanizing Sewershed

Transport of Particulate Matter Fractions in Urban Source Area Pavement Surface Runoff

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