Combined sewer overflow (CSO) has been considered to be a source of pathogenic microorganisms for aquatic environment. For the effective control and treatment of CSOs, the microbial behavior in combined sewer system (CSS) needs to be investigated. In this study, whole-day extensive monitoring of indicator microorganisms and intestinal viruses in dry weather flow (DWF) was conducted at a small residential urban drainage area with CSS. All indicator bacteria represented similar diurnal variations in the two different monitoring campaigns; their concentrations gradually decreased to the minimum at the dawn (around 5 a.m.), increased sharply to the maximum around 7 to 8 a.m., and remained rather constant from noon to midnight. On the other hand, neither coliphages nor intestinal viruses showed any concentration peaks in the morning. The maximum/minimum load ratios ranged from 18 to 42 for total coliforms, fecal coliforms and E. coli, whereas those ratios for coliphages, enteroviruses and noroviruses G2 showed greater values than those for indicator bacteria. These results indicate that the diurnal variation patterns of bacterial and viral concentrations in DWF should be considered, which affect the discharge characteristics of each microorganism and the loads of bacteria and viruses in CSOs significantly vary with the overflow time as well.

In-sewer deposits in combined sewer systems (CSSs) are closely related with the behavior of first foul flush and combined sewer overflows. However, the research paying attention to the role of in-sewer deposits is quite rare, furthermore, their contributions for the washoff patterns of each pollutant including pathogenic microorganisms are almost never discussed so far. The artificial flushing experiment separating the washoff of in-sewer deposits from the inflow of surface pollutants was carried out to simulate the first foul flush in a CSS. The washoff behaviors of each pollutant including bacterial indicators and enteric viruses were investigated. Several morphological analyses for the concentration and load curves of each parameter were conducted and all patterns were classified according to their washoff characteristics and first foul flush patterns. The washoff behaviors of each pollutant and microorganism are different from each other and categorized into several groups according to their (i) time-series concentration and load curves and (ii) concentration vs. flow rate curves, respectively. The first foul flush patterns of each parameter were to be categorized into typical 3 groups; strong-, partial-, and no first foul flush group. The order of these groups signifies the strength of the first foul flush phenomena and the runoff priority as well.

After the recent success of several river rehabilitation projects including the Cheong-gye river case, a large number of local governments have been promoting their own projects in Korea. Most of the projects are aimed at securing the soundness of aquatic ecosystems according to the guidelines presented by the Korea Ministry of Environment. However, there is no clear guidance for the management goals of water quality and quantity. In this study, we have made an attempt to construct a habitat database (DB) for each domestic freshwater fish species. The fish population, and physical and physicochemical properties of the habitat of 70 domestic freshwater fish species were investigated using field monitoring data. After the statistical processing, the inhabitable range and optimal range of each species were suggested. Furthermore, based on the DB, a decision support system for ecological river restoration and rehabilitation has been developed, and applied for field tests. It became clear that the decision support procedure based on the fish habitat DB is useful in the planning stage of river rehabilitation projects to select the flagship fish, to decide the restoration goals considering their appropriate habitat and to suggest the optimum quantitative combination of each available water resource.