Evaluating Drying Potential of Different Sludge Types: Effect of Sludge Organic Content and Commonly Used Chemical Additives

Tunçal, Tolga

doi:10.1080/07373937.2010.482704

Cited by 25 publications

(4 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Running a regression model is possible by defining the regression model. The linear regression model with the dependent variable Y and independent variable p x1, x2,..., xp is defined as follows [20]:…”

Section: Regression Methodsmentioning

confidence: 99%

Multiple Imputation for Hydrological Missing Data by Using a Regression Method (Klang River Basin)

Khalifeloo¹

2015

IJRET

View full text Add to dashboard Cite

Rainfall amounts and water surface elevation are considered as one of the most important climatic parameters. Because these two parameters will have a direct impact on water resources management decisions such as meet the water needs and prevent flooding. But in some cases, for some reason all time series data are not fully recorded. To fill the gaps in the data, several interpolation methods currently used. One of these methods is regression analysis as a statistical method. By using regression, we can determine the mathematical relationship coefficients between inputs and outputs. By achieving the equation, we can obtain the unknown quantities. In this research, the daily data between 2005 to 2015 for 5 Rain-gauge stations and 3 elevation measurement of water surface stations in the Klang River Basin were used. The main goal was to find the missing value of the water level in the mentioned three stations by rainfall and water level data. To evaluate the obtained results, Multiple R, R 2 , and Standard Error were used. The results indicate that the standard error in normalized data was less than the regular data.

show abstract

Section: Regression Methodsmentioning

confidence: 99%

Multiple Imputation for Hydrological Missing Data by Using a Regression Method (Klang River Basin)

Khalifeloo¹

2015

IJRET

View full text Add to dashboard Cite

show abstract

“…The Box–Behnken design is a response surface methodology, which is a collection of mathematical and statistical techniques that are useful for the modeling and analysis of problems in which a response of interest is influenced by several variables and the objective is to optimize this response. This optimization process involves a series of steps: identify the problem to be solved, determine the factors and levels that affect the response variable, performing the statistically designed experiments, and data analysis [].…”

Section: Methodsmentioning

confidence: 99%

Treatment of dyehouse effluents using sequential combinations of electrochemical oxidation, membrane separation, and activated sludge

Tunçal

Kaygusuz

2013

Env Prog and Sustain Energy

Self Cite

View full text Add to dashboard Cite

Reducing water demand in textile sector is one of the important environmental concerns. In this study, individual and combined effects of selected operational parameters on a full‐scale electrochemical oxidation (ECO) process treating dyehouse effluent were investigated experimentally. Combinations of variables including current density, wastewater pH, and conductivity resulting in maximum color removal efficiency were determined using the Box‐Behnken design method. In addition to color removal, variations in wastewater organic composition before and after ECO were also examined critically. Removal and/or generation of 22 polycyclic aromatic hydrocarbons (PAHs) before and after ECO were investigated under variable operational conditions. Treatability of ECO effluent using conventional activated sludge process was investigated by both full‐scale monitoring studies and batch‐scale nitrification tests. Toxicity impact of raw, ozonized, and electrochemically treated wastewaters on nitrifiers were also determined and compared. Water reuse and salt recovery alternatives were assessed by full‐scale tests in a pilot plant which is composed of nanofiltration (NF), reverse osmosis (RO), and activated sludge processes. Advantages and disadvantages of applying ECO process as a pretreatment prior to membrane‐based or biological methods were critically evaluated. The average flux values of NF and RO membranes without ECO were 39 ± 2 and 19.5 ± 1 L m−2 h−1, respectively. The average flux values of NF and RO membranes without ECO were 39 ± 2 and 19.5 ± 1 L m−2 h−1, respectively. The permeability of the membranes for raw dyehouse effluent (without ECO) were estimated to be 6.0 ± 11 and 0.73 ± 0.6 L m−2 h−1 bar−1 Another important observation was formation of some PAHs including naphthalene, acenaphtylene, anthracene, benzo(a)anthracene, and benzo(g,h,i)perylene as a function of operational conditions maintained in ECO process. © 2013 American Institute of Chemical Engineers Environ Prog, 33: 472–481, 2014

show abstract

“…Tuncal noted that organic content of sludge had a significant negative impact on drying potential of sludge [27] .…”

Section: Introductionmentioning

confidence: 99%

Drying Kinetics and Characteristics of Sewage Sludge/Rice Straw Mixture

Cai

Xiao

et al. 2015

Drying Technology

View full text Add to dashboard Cite

This study aimed at investigating thin-layer drying characteristics of the sludge mixed with different rice straw contents (1% wet basis (wb), 2% wb, 3% wb and 5% wb). The experimental results showed that adding 1%wb, 2%wb and 3%wb rice straw to sludge is helpful for improvement in drying rate of sludge as the surface area and cracks increase but the drying rate of the sludge mixed with 5%wb rice straw decreasing with reduction in thermal conductivity. When the content of rice straw is 2%wb, the increase amplitude of drying rate is the highest, it increased by 14.6%, 14.8%, 16.0% and 17.6% at 100°C, 120°C, 140°C and 160°C, respectively. The model proposed by this study gave better prediction compared with the other models and satisfactorily described drying characteristics of sludge/rice straw mixture as well, and is applicable under the given experimental conditions. The values of R 2 , RMSE and 2 χ varied from 0.99935 to 0.99992, 0.00295 to 0.00830 and 0.00001 to 0.00007, respectively.

show abstract

Evaluating Drying Potential of Different Sludge Types: Effect of Sludge Organic Content and Commonly Used Chemical Additives

Cited by 25 publications

References 22 publications

Multiple Imputation for Hydrological Missing Data by Using a Regression Method (Klang River Basin)

Multiple Imputation for Hydrological Missing Data by Using a Regression Method (Klang River Basin)

Treatment of dyehouse effluents using sequential combinations of electrochemical oxidation, membrane separation, and activated sludge

Drying Kinetics and Characteristics of Sewage Sludge/Rice Straw Mixture

Contact Info

Product

Resources

About