• Journal of Korean Society of Water and Wastewater
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• v.20 no.1
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• pp.147-155
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• 2006

For the further study of the solids flux theory, several researchers have proposed models to predict sludge settling velocity for each different concentration by using sludge indexes, SVI, SSVI and $SSVI_{3.5}$. It is difficult to apply the above models to predict sludge-water interface height in a batch column because sludge settling velocity changes while sludge settle down. While sludge settle down in a batch column, sludge concentration becomes high. The sludge concentration change is one of the most critical causes of the change of sludge settling velocity. Also, sludge concentration change causes of sludge index to change. SVI is more sensitive than SSVI or $SSVI_{3.5}$ to the change of sludge concentration. Each sludge has physical characteristics of its own which makes the settling velocity for each sludge different. The purpose of this study is to establish the correction factors that are able to compensate the errors derived from each different sludge settling characteristic by using sludge indexes, therefore the correction factors are applicable to the model for the change of sludge-water interface height.

• Journal of Korean Society of Water and Wastewater
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• v.22 no.2
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• pp.219-225
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• 2008

Evaluating and designing secondary clarifier require to define characteristics of influent MLSS (Mixed Liquor Suspended Solids). In this study, bioflocculation and settling characteristics for MLSS from a Biological Nutrient Removal (BNR) plant located in near Seoul were measured. MLSS concentrations in bioreactor were about 2,500mg/L in summer and about 4,000mg/L in winter, respectively. Tests showed that there was not much bioflocculation occurred in secondary clarifier. Average ESS/DSS (Effluent Suspended Solids/Dispersed Suspended Solids) was 100%. From the settling tests, ZSV (Zone Settling Velocity) and settling constant (n) in Vesilind equation were estimated at different MLSS temperatures. SVI (Sludge Volume Index) and SSVI (Stirred Sludge Volume Index) were also measured at different temperatures. It was found that ZSV was positively correlated with temperature and n was inversely proportional to temperature. SVI and SSVI had very similar values at about $25^{\circ}C$ of MLSS, However, SVI had more than 2 times higher values than SSVI at below $20^{\circ}C$ of MLSS. Temperature effect must be considered to design and evaluate secondary clarifier.

• Journal of Korean Society of Water and Wastewater
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• v.20 no.1
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• pp.156-163
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• 2006

While sludge is settling in batch column, sludge concentration becomes high. Because the characteristic of sludge settling changes in function of time due to the sludge concentration change, the sludge settling velocity changes too. Also, because the sludge settling characteristic is influenced by a physical characteristic of sludge and a column height etc, it is difficult to exactly measure the sludge settling characteristic. Although the sludge volume indexes, SVI, SSVI and $SSVI_{3.5}$, are used to predict sludge settling characteristic, these indexes are not reliable values. Because the previously established models for sludge settling velocity predict the sludge settling velocity only, it is difficult to predict sluge-water interface height by using those models. The purpose of this experiment is to establish the empirical model which predicts the sludge interface height change with respect to the sludge physical characteristic and the settling condition.

• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.311-311
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• 2018

Generally, the water resources in South Korea were supplied from river flow and dam. Among them, the dam is the most important supplier for the residential and industrial water. However, the climate change has caused a setback in water supply chain. The objective of the study is therefore to suggest a drought index consideing dam water shortage for efficiently dam and water resources management. The standardzied balanced index(SBI), which has same concept with the standardzied precipitation index, were suggested. Also, the management index for the dam were established with SSVI and the storage percentage that compared to previous years.