Particle size analysis for improved sedimentation and filtration in waste water treatment

doi:10.1016/s0273-1223(99)00191-2

Cited by 6 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nanoparticles lost from any model compartment due to depuration were assumed to leave the current system to the local sediment, independent of the current model. Suspended solids in the model formulation were defined as having a particle density of 1.3 g/cm 3 and a number-weighted mean particle diameter of 10 μm . Steady-state solutions of the above system of equations were solved analytically and analyzed using Wolfram Mathematica.…”

Section: Methodsmentioning

confidence: 92%

Nanoparticle Surface Affinity as a Predictor of Trophic Transfer

Geitner

Marinakos

Guo

et al. 2016

Environ. Sci. Technol.

View full text Add to dashboard Cite

Nanoscale materials, whether natural, engineered, or incidental, are increasingly acknowledged as important components in large, environmental systems with potential implications for environmental impact and human health. Mathematical models are a useful tool for handling the rapidly increasing complexity and diversity of these materials and their exposure routes. Presented here is a mathematical model of trophic transfer driven by nanomaterial surface affinity for environmental and biological surfaces, developed in tandem with an experimental functional assay for determining these surface affinities. We found that nanoparticle surface affinity is a strong predictor of uptake through predation in a simple food web consisting of the algae Chlorella vulgaris and daphnid Daphnia magna. The mass of nanoparticles internalized by D. magna through consuming nanomaterial-contaminated algae varied linearly with surface-attachment efficiency. Internalized quantities of gold nanoparticles in D. magna ranged from 8.3 to 23.6 ng/mg for nanoparticle preparations with surface-attachment efficiencies ranging from 0.07 to 1. This model, coupled with the functional-assay approach, may provide a useful screening tool for existing materials as well as a predictive model for their development.

show abstract

Section: Methodsmentioning

confidence: 92%

Nanoparticle Surface Affinity as a Predictor of Trophic Transfer

Geitner

Marinakos

Guo

et al. 2016

Environ. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…In the SER configuration, higher fractions of particles (13% to 15%) were in the range of 54 to 158 μm in (RBF+) DF-L and (RBF+) PC-L than in the DF-L and PC-L in the PAR configuration (5% to 7%), likely due to the removal of larger solids by the upstream RBF. The comparison of the PSD of raw WW and PC effluents at four municipal WRRFs in Hamburg (Germany) indicated similar PSDs for primary effluents with less than 10% of the particle mass larger than 50 μm (Tiehm et al, 1999).…”

Section: Psd Of Liquid Fractionsmentioning

confidence: 99%

Physico‐chemical characteristics and biodegradability of primary effluent and particulate matter removed by microscreens

Alizadeh

Chowdhury

Ghodsi

et al. 2023

Water Environment Research

View full text Add to dashboard Cite

In this study, the physical, chemical, and biological characteristics of raw wastewater were compared with the liquid and solid streams generated by a primary clarifier (PC), a rotating belt filter (RBF, 350 μm), and a drum filter (DF, 60 μm) and series (SER) combination of an RBF with a PC or a DF using pilot-scale primary treatment units. The RBF removed about 36% of the influent total suspended solids. The DF and PC yielded an influent total suspended solid removal of 47% to 55% in both individual (parallel) and SER configurations. The size fractionation and chemical characterizations of the liquid fractions indicated a significant change in the wastewater composition in both filter configurations with no variation in the biodegradability of liquid fractions. The solids recovered by RBF had a higher total solids (TS) concentration and a higher volatile solids (VS) content (0.92 g VS/g TS) than that of DF and PC treatments (0.58 to 0.84 g VS/g TS). DF and PC sludge demonstrated a higher biodegradability rate (k 1 ; 0.11 d À1 < k 1 < 0.20 d À1 ) than solids recovered by RBF (0.09 d À1 ). The retained solids in the SER configuration demonstrated a significantly lower theoretical biochemical methane potential than the parallel configuration, likely due to the presence of smaller particles with a significantly higher ratio of particulate chemical oxygen demand over volatile suspended solids (1.86 to 2.40 g chemical oxygen demand/g volatile suspended solids). These results indicated that the physical, chemical, and biological characteristics of liquid and solids from different filter configurations are required to determine design criteria to upgrade or retrofit water resource recovery facilities using an RBF or a DF.Yves Coemau is a member of the Water Environment Federation (WEF).

show abstract

Particle Size Distribution (PSD) Obtained in Effluents from an Advanced Primary Treatment Process Using Different Coagulants

Mejía

Cisneros

2000

Chemical Water and Wastewater Treatment VI

View full text Add to dashboard Cite

Particle size analysis for improved sedimentation and filtration in waste water treatment

Cited by 6 publications

References 8 publications

Nanoparticle Surface Affinity as a Predictor of Trophic Transfer

Nanoparticle Surface Affinity as a Predictor of Trophic Transfer

Physico‐chemical characteristics and biodegradability of primary effluent and particulate matter removed by microscreens

Particle Size Distribution (PSD) Obtained in Effluents from an Advanced Primary Treatment Process Using Different Coagulants

Contact Info

Product

Resources

About