• Journal of Korean Society of Environmental Engineers
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• v.22 no.10
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• pp.1861-1867
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• 2000

Granular activated carbon(GAC) adsorption is one of the best available technology to remove synthetic organic chemicals(SOCs) from water supplies and wastewater. In order to satisfy enviromental criteria and reduce GAC treatment cost, optimal study of reverse stratified tapered adsorber(RSTA) has been conducted. The RSTA was found to provide on increase in breakthrough time when compared to a conventional cylindrical adsorber(CA). Through the RSTA optimal experiment, optimal mean bed velocity was decided 19.10cm/min and optimal angle was decided RSTA($3.0^{\circ}$). Adsorption efficiency was increased with increasing activated carbon doses and the number of activated carbon layers.

• Journal of Korean Society of Environmental Engineers
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• v.22 no.4
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• pp.723-731
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• 2000

In recent years, the amount and number of synthetic organic compounds(SOCs) discharged from various industries has been increasing. Granular activated carbon(GAC) adsorption is one of the best available technology to remove SOCs from water supplies and wastewater. In this paper competitive adsorption for binary mixture of 4-nitrophenol and phenol on reverse stratified tapered adsorber(RSTA) using GAC was studied. Two isotherm experiments were conducted, one for phenol and the other for 4-nitrophenol. The phenol data of binary mixture isotherm were not fitted to Freundlich isotherm. The competitive adsorption increased significantly with decreasing carbon dose and increasing adsorbate concentration. The RSTA was found to provide an increase in breakthrough time when decreasing flow rate, increasing angle and injection layers. The performance enhancement provided by RSTA can be exploited in separation and in the purification of fluids.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.1
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• pp.76-89
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• 2013

The exploration of the interaction effect among the components of attractiveness is impossible; therefore, this study uses an indirect estimates approach with multiple scale items that can measure the interaction effect among the components of attractiveness to solve the problem of direct estimates. Previous studies focused on intra-store type competition as their subjects; subsequently, this study dealt with intra-store type competition as well as inter-store type competition in the competing and selecting activities among fashion retailing stores with different business models (such as department stores, road brand stores, discount stores, outlets and internet shopping malls). This study suggests a generalized model for shopping attractiveness of stores and proposes a fashion retailing store type attractiveness (FaRSTA) model instead of a simple relative importance between store selection standards.