Steam stripping for removal of organic pollutants from water. 1. Stripping effectiveness and stripper design

Hwang, Yng Long; Keller, George E.; Olson, James D.

doi:10.1021/ie00007a021

Cited by 40 publications

(23 citation statements)

References 4 publications

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“…Some chlorinated aromatics are volatile and can be removed by air stripping process [11,12]. However, the transfer of these toxic chemicals into air phase would cause air quality concerns and the efficiency is limited for most of chlorinated aromatics [13]. Anaerobic biodegradation were used to remove chlorinated aromatics in wastewater treatment [14,15].…”

Section: Introductionmentioning

confidence: 99%

The influence of chlorinated aromatics’ structure on their adsorption characteristics on activated carbon to tackle chemical spills in drinking water source

Lin

Zhang

et al. 2015

Front. Environ. Sci. Eng.

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This study focused on evaluating the efficiency of powdered activated carbon (PAC) adsorption process and tackling chlorobenzenes and chlorophenols spill in drinking water source. The adsorption kinetics and PAC's capacities for five chlorobenzenes and three chlorophenols at drinking water contamination levels were studied in order to determine the influence of different functional groups on the adsorption behavior. The results showed that PAC adsorption could be used as an effective emergency drinking water treatment process to remove these compounds. The adsorption kinetics took 30 min to achieve nearly equilibrium and could be described by both pseudo first-order and pseudo second-order models. A mathematic relationship was developed between the pseudo first-order adsorption rate constant, k 1 , and the solutes' properties including lgK ow , polarizability and molecular weight. The Freundlich isotherm equation could well describe the adsorption equilibrium behaviors of chlorinated aromatics with r 2 from 0.920 to 0.999. The H-bond donor/acceptor group, hydrophobicity, solubility and molecular volume were identified as important solute properties that affect the PAC adsorption capacity. These results could assist water professionals in removing chlorinated aromatics during emergency drinking water treatment.

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Section: Introductionmentioning

confidence: 99%

The influence of chlorinated aromatics’ structure on their adsorption characteristics on activated carbon to tackle chemical spills in drinking water source

Lin

Zhang

et al. 2015

Front. Environ. Sci. Eng.

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“…The water layer, with a low concentration of VOC is recycled. The model was developed following ideas of the open literature (Bravo, 1994;Hwang, 1992). The process model has four degrees of freedom (liquid loading, temperature of treated water, steam flowrate for heating and steam flowrate for stripping).…”

Section: Steam Strippingmentioning

confidence: 99%

A multi-objective mathematical programming framework for a sustainability analysis of wastewater treatment processes

Romero-Hernandez

Ponsich

Hernández

et al. 2010

IJEPDM

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Industrial processes are gradually becoming more efficient as new designs consider the effect on costs and environmental impacts and costs. However, decisions on operating costs might not always be in hand with lower environmental impacts. Therefore, innovative approaches are needed to better understand and recognise the economic and environmental effects of industrial processes. This paper presents a multi-objective mathematical programming framework for a sustainability analysis of two wastewater treatment processes: pervaporation (PERV) and steam stripping (SS). The framework comprises mass and energy balances, design specifications, equipment size and utilities consumption. In addition, the framework makes use of life cycle approaches to quantify the environmental impact of the process under a holistic perspective. As a result, optimal operating conditions, at which environmental impact and treatment cost are minimised, have been identified. The multi-objective operating curves developed as part of this paper serve as a basis for decision making geared towards sustainable process designs.

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“…All the aqueous solubility experimental data used were taken from [9,11,12]. Figure 5 presents experimental and predicted results with the new correlation in the database used for its development.…”

Section: Appendix: Prediction Of Aqueous Solubilitiesmentioning

confidence: 99%

Prediction Helps Analytical Experimental Work for Environmental Purposes

et al. 2001

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Abstract. Analytical work, especially for environmental purposes, involves in the typical case determination of organic compounds in compartments, where their presence is very small. Identi®cation of the appropriate experimental technique, whose range of applicability covers the concentration value involved, requires an estimate of this value. To this purpose, we present in this study a methodology for the prediction of the concentration of organic pollutants in the various environmental compartments (aquatic biota, air, sediment and soil) from the knowledge of the concentration in one of them. In case where the pollutant's concentration is not available for any of the compartments, the proposed methodology can be used to estimate the maximum expected concentration in each one of them assuming that the water phase is saturated with the pollutant. The latter value can be obtained from a simple correlation presented here.The methodology is based on the correlation of the partition coef®cients of pollutants among the various environmental compartments with two important thermodynamic quantities of pollutants: the octanol/ water partition coef®cient and the Henry's law coefficient, which can be easily predicted by simple models presented here. Application of the methodology to ®eld experimental data gives very satisfactory results at least for identifying the appropriate experimental technique.Key words: Pollutants; prediction; environmental compartments; octanol-water partition coef®cient; Henry's law coef®cient; solubility.Application of a certain experimental technique, for the measurement of the concentration of pollutants in the environment, has a certain range of applicability. For example Albanis and Hela [1] present detection limit concentrations for a variety of pesticides in water using gas chromatography with¯ame thermionic detection (GC-FTD) and mass selective detection (GC-MSD) using two different capillary columns: a DB-1 for GC-FTD and a HP-5 one for GC-MSD. Some of this information is presented in Table 1 and shows that detection limits can differ within the same method for the different pesticides as well as for the same pesticide with the two different methods by more than two orders of magnitude. In order, thus, for the experimentalist to decide on the most appropriate technique for the measurement of the concentration of a particular pollutant in a certain environmental compartment (aquatic biota, air, water, soil, and sediment) it is very useful to have a ®rst estimate of its concentration.We present here a methodology that provides this ®rst estimate for two possible cases. In the ®rst, the concentration is known in one of the compartments, usually water; in the second, the concentration is not known in any of the compartments. The methodology is applicable for slowly bio-degrading chemical pollutants, such as pesticides, polycyclic aromatic hydrocarbons (PAH's), halogenated compounds, polychlorinated biphenyls (PCB's) etc., whose distribution among the various environmental compartments reach ...

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Steam stripping for removal of organic pollutants from water. 1. Stripping effectiveness and stripper design

Cited by 40 publications

References 4 publications

The influence of chlorinated aromatics’ structure on their adsorption characteristics on activated carbon to tackle chemical spills in drinking water source

The influence of chlorinated aromatics’ structure on their adsorption characteristics on activated carbon to tackle chemical spills in drinking water source

A multi-objective mathematical programming framework for a sustainability analysis of wastewater treatment processes

Prediction Helps Analytical Experimental Work for Environmental Purposes

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