A new statistical framework for parameter subset selection and optimal parameter estimation in the activated sludge model

Kim, Y.S.; Kim, M.H.

doi:10.1016/j.jhazmat.2010.07.044

Cited by 15 publications

(5 citation statements)

References 11 publications

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“…This simplifies the representation, then compared to the original signal to identify deviations beyond a threshold. Statistical techniques like mean and standard deviation play a essential role, resulting in highly accurate identification (Kim et al, 2010). The holistic algorithm is unique in that it not only integrates the Wavelet Algorithm but also incorporates various techniques based on the physical properties of the defects.…”

Section: Wrinklesmentioning

confidence: 99%

A novel heuristic approach to detect induced forming defects using point cloud scans

Saeed,

Faisal,

Eisenbart

et al. 2024

Proc. Des. Soc.

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The research paper delves into the importance of point cloud data obtained from 3D scanning technology ensuring quality control in industrial settings. It presents a new heuristic approach that utilizes the wavelet algorithm and other techniques to detect and characterize induced forming defects accurately. The proposed approach offers more flexibility, ease of use, and better results based on descriptive and prescriptive analyses from DRM. The results demonstrate that the wavelet algorithm was successful in identifying and characterizing forming defects in point cloud data.

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Section: Wrinklesmentioning

confidence: 99%

A novel heuristic approach to detect induced forming defects using point cloud scans

Saeed,

Faisal,

Eisenbart

et al. 2024

Proc. Des. Soc.

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“…In cement and concrete technology, the substitution of aluminium dross for sand as a filler to produce bricks and other building materials can improve the stiffness and stability of the material (Kim et al, 2010). The use of aluminium dross also increases the compressive strength and porosity of cement as a raw starting material for construction and delays the setting time of concrete (Elinwa & Mbadike, 2011;Mailar et al, 2016;Reddy & Neeraja, 2016;Dai & Apelian, 2016).…”

Section: Introductionmentioning

confidence: 99%

Synthesis and Performance of PAFS Coagulant Derived from Aluminium Dross

Li¹,

Sobri²

2022

JST

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Polymerised aluminium ferric sulphate (PAFS) was prepared from aluminium dross as a coagulant in wastewater treatment. The effects of leaching time, leaching temperature, and sulfuric acid concentrations on the turbidity removal of the wastewater were investigated, and the optimum conditions were determined using response surface methodology. The results showed that the optimum PAFS preparation conditions were at a leaching time of 60 minutes, a leaching temperature of 65°C, and a sulfuric acid concentration of 1 mol/L. Furthermore, experiments were performed to investigate the effect of coagulant dosages using the PAFS prepared under the optimum leaching conditions, settling time and initial pH of the wastewater on the turbidity removal efficiency. As a result, it was found that the optimum coagulation conditions for PAFS coagulants were at a settling time of 15 minutes, coagulant dosage of 0.5g, and raw water pH 8. Under these optimum conditions, the turbidity removal efficiency of the wastewater was 91.45%. The purpose of this study was to investigate the possibility of aluminium dross utilisation as a coagulant agent for wastewater treatment. Therefore, it can be concluded that PAFS prepared by leaching metal oxides from aluminium dross is an effective wastewater coagulant.

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“…Minimizing the difference between the calculated concentration and the actual measured concentration of a pollutant is the judgment criterion for the validity of a MF model. A model calibration process is required to be built for estimating the performance of the multimedia fugacity model 13 . And the regularization or correction techniques are typically needed in the MF modelling to guarantee the solution uniqueness and stability of the models 14 .…”

Section: Introductionmentioning

confidence: 99%

Multiple Land-Use Fugacity Model to Assess the Environmental Fate of PAHs – A Mega-City Under COVID-19 Pandemic

Vilela

Nam

2021

Preprint

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Along with the accelerated process of urbanization, the contradiction between social development and environment become increasingly conspicuous. Herein, we access the transport and fate of polycyclic aromatic hydrocarbons (PAHs) by a newly proposed multiple land-use fugacity (MLUF) model to provide comprehensive understanding of PAHs distribution in an urban and suburban areas. PAHs behave differently towards distinct soil types and land covers within the soil phase. We suggest and implement the MLUF model to estimate the PAHs distribution in diverse land types. Moreover, we introduce a multivariate interpretation and systematic model calibration framework to validate the MLUF model adaptability in different land-use area. Accordingly, the organic film on impervious surfaces holds the highest PAHs concentration than other compartments, also soil and sediment phases keep most of PAHs. The potential cancer risk of PAHs in different land-usecompartments follow the order of urban green space > agricultural area > forest and semi-nature area. Besides, the dynamic MLUF model is developed and implemented to the period of COVID-19 pandemic for quantitively estimating the dynamic variations of the PAHs concentration. Finally, we can realize the better scientific understanding of the typical PAHs environmental pollutants transfer phenomena and distribution fates in urban and suburban areas.

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A new statistical framework for parameter subset selection and optimal parameter estimation in the activated sludge model

Cited by 15 publications

References 11 publications

A novel heuristic approach to detect induced forming defects using point cloud scans

A novel heuristic approach to detect induced forming defects using point cloud scans

Synthesis and Performance of PAFS Coagulant Derived from Aluminium Dross

Multiple Land-Use Fugacity Model to Assess the Environmental Fate of PAHs – A Mega-City Under COVID-19 Pandemic

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