• Title/Summary/Keyword: sewer flow and pollution

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PREDICTION OF COMBINED SEWER OVERFLOWS CHARACTERIZED BY RUNOFF

  • Seo, Jeong-Mi;Cho, Yong-Kyun;Yu, Myong-Jin;Ahn, Seoung-Koo;Kim, Hyun-Ook
    • Environmental Engineering Research
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    • v.10 no.2
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    • pp.62-70
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    • 2005
  • Pollution loading of Combined Sewer Overflows (CSOs) is frequently over the capacity of a wastewater treatment plant (WWTP) receiving the water. The objectives of this study are to investigate water quality of CSOs in Anmyun-ueup, Tean province and to apply Storm Water Management Model to predict flow rate and water quality of the CSOs. The capacity of a local WWTP was also estimated according to rainfall duration and intensity. Eleven water quality parameters were analyzed to characterize overflows. SWMM model was applied to predict the flow rate and pollutant load of CSOs during rain event. Overall, profile of the flow and pollutant load predicted by the model well followed the observed data. Based on model prediction and observed data, CSOs frequently occurs in the study area, even with light precipitation or short rainfall duration. Model analysis also indicated that the local WWTP’s capacity was short to cover the CSOs.

Optimum Flow and Pollution Load Monitoring Time of Combined Sewers of Urban Watersheds during Dry Weather (비강우시 도시 합류식 하수도의 오염부하 산정을 위한 최적관측시간 산정연구)

  • Choi, Yong-Hun;Won, Chul-Hee;Park, Woon-Ji;Seo, Ji-Yeon;Shin, Min-Hwan;Lee, Chan-Ki;Choi, Joong-Dae
    • Journal of The Korean Society of Agricultural Engineers
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    • v.51 no.3
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    • pp.9-14
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    • 2009
  • Flow and pollution load were monitored at 2 combined sewer outlets (C-1 and C-2) of urban watersheds during dry weather from September, 2004 to April, 2006 for 20 months. The objectives were to investigate the diurnal variation of flow and pollutant load and to find the proper sampling time that could measure representative flow and pollutant load. Pollution load closed to the average daily load at C-1 could be measured at 00:00 hour and by the mean of 15:00 and 18:00 hour measures, and 15:00 and 21:00 hour measures, respectively. In addition at C-2, it was 21:00 hour and the mean of 15:00 and 18:00 hour measures. This study concluded that arbitrary sampling of flow and water quality could cause large errors in the estimation of urban pollution load and recommended that urban combined sewers should be monitored when flow and water quality showed daily average and concentration.

Characteristics and Combined Sewer Overflows (합류식 하수관거의 유출 특성 분석 조사)

  • An, Ki-Sun;Jang, Sung-Ryong;Kwon, Young-Ho
    • Journal of Environmental Science International
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    • v.19 no.6
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    • pp.747-753
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    • 2010
  • It follows in quality and sewage exclusion method of the investigation objective sector and the Combined Sewer Overflows which is suitable in regional characteristics and the confluence area against the rainfall initially a flow and the medulla and measurement - it analyzes the initial rainfall outflow possibility control plan which is suitable in the domestic actual condition and it proposes the monitor ring plan for the long-term flow and pollution load data accumulation. From the research which it sees the Infiltration water/Influent water and CSOs investigation it passes by the phase of hazard chain and Namwon right time 4 it does not hold reverse under selecting, Measurement it used the hazard automatic flow joint seal Sigma 910 machine and in case 15 minute interval of the I/I, it measured a flow at case 5, 15 minute standing of the CSOs. The water quality investigation for the water leakage investigation of the I/I and the sewage from the point which is identical with flow measurement during on-the-spot inspection duration against 6 items which include the BOD sampling and an analysis, when the rainfall analysis for CSOs fundamental investigation analyzed against 18 items which include the BOD sampling. Consequently, for the optimum interpretation invasion water / inflow water of the this investigation area day average the lowest flow - water quality assessment veterinarian optimum interpretation hazard average per day - lowest flow - it averages a medulla evaluation law department one lowest flow evaluation technique and it selects, it presentation collectively from here it gets, position result with base flow analysis of invasion water / inflow water.

Selection of concrete lining corrosion protection method for large sewer tunnels (하수터널의 콘크리트 라이닝 부식 방지공법 선정방법에 관한 고찰)

  • Moon, Joon-Shik;Lee, Sungjune
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.16 no.4
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    • pp.347-360
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    • 2014
  • Recently construction of large sewer tunnels used also as underground sluiceways/storages is increasing in order to prevent urban inundation, untreated sewage flow into rivers from combined sewer overflows and consequential river pollution due to climate change. Most of these large sewer tunnels are constructed with concrete and the concrete lining should be protected from corrosion caused by hydrogen sulfide($H_2S$). This paper introduced popular concrete corrosion protection methods for large sewer tunnels with 100-plus years of life cycle, and pros and cons of each corrosion protection methods were described by giving specific examples. However, it is difficult to objectively assess corrosion protection alternatives because of insufficient track record of corrosion protection methods applied to large sewer tunnels. In this paper, the evaluation process for selecting a corrosion protection alternative was introduced for large sewer tunnels using a case study.

Effect of a Hydrologic Similarity Unit and Storm Sewer Resolution on the SWMM Model Performance (수문학적 유사단위와 우수관망의 공간정밀도가 SWMM모형 성과에 미치는 영향)

  • Ha, Sung-Ryong;Lee, Kang-Won
    • Journal of the Korean Association of Geographic Information Studies
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    • v.9 no.2
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    • pp.79-90
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    • 2006
  • The partitioning level of a catchment becomes an issue if the calculated results from different levels show the same performance regardless of the levels. This study aims to identify the proper processing level of spatial resolution for the SWMM model application in an urban area. Using GIS overlaying technique, the division of subcatchments as a hydrologic similarity unit (HSU) is achieved with a comprehensive consideration of surface slope conditions, flow directions of storm sewers, and current land cover situation. Three surface-sewer alternatives are made on the basis of three different levels of surface divisions as well as the number of sewer connections and used as runoff simulation fields for the application of SWMM. As the result, it is found that the effect of a spatial resolution on the surface runoff results is not significant. On the other hand, the accumulated pollution load from an unit subcatchment, which is built by aggregation of several unit subcatchments consisting of various land cover conditions is reduced through the deterioration of surface spatial resolution. Although overall runoff pattern and accumulated runoff are little affected by spatial resolution, the simulated runoff from sewer outlet shows slight difference at the peak appearance time. The gap between surface pollution load accumulated and it discharged from the sewer outlet in a surface-sewer alternative during runoff period is monitored but the level of error is less than 5-10% except the lowest spatial resolution case.

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Study on the Runoff Characteristics of Non-point Source Pollution in Municipal Area Using SWMM Model -A Case Study in Jeonju City (SWMM모델을 이용한 도시지역 비점오염원의 유출특성 연구 -전주시를 대상으로)

  • Paik Do-Hyson;Lim Young-Hwan;Choi Jin-Kyu;Jung Paul-Gene;Kwak Dong-Heui
    • Journal of Environmental Science International
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    • v.14 no.12
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    • pp.1185-1194
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    • 2005
  • The runoff characteristics of non-point source pollutions in the municipal area of Jeonju were investigated and analyzed by using the SWMM (Storm Water Management Model). The flow rates and water qualities of runoff from two types of drainage conduits were measured respectively. One was a conventional combined sewer system and the other was a separated sewer system constructed recently From August to November in 2004, investigations on two rainfall events were performed and flow rate, pH, BOD, COD, SS, T-N and T-P were measured. These data were also used for model calibration. On the basis of the measured data and the simulation results by SWMM, it is reported that $80-90\%$ of pollution load is discharged in the early-stage storm runoff. Therefore, initial 10-30 mm of rainfall should be controlled effectively for the optimal treatment of non-point source pollution in urban area. Also, it was shown that the SWMM model was suitable for the management of non-point source pollution in the urban area and for the analysis of runoff characteristics of pollutant loads.

Estimation of Storage Capacity for CSOs Storage System in Urban Area (도시유역 CSOs 처리를 위한 저류형시스템 설계용량 산정)

  • Jo, Deok Jun;Lee, Jung Ho;Kim, Myoung Su;Kim, Joong Hoon;Park, Moo Jong
    • Journal of Korean Society on Water Environment
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    • v.23 no.4
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    • pp.490-497
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    • 2007
  • A Combined sewer overflows (CSOs) are themselves a significant source of water pollution. Therefore, the control of urban drainage for CSOs reduction and receiving water quality protection is needed. Examples in combined sewer systems include downstream storage facilities that detain runoff during periods of high flow and allow the detained water to be conveyed by an interceptor sewer to a centralized treatment plant during periods of low flow. The design of such facilities as stormwater detention storage is highly dependant on the temporal variability of storage capacity available (which is influenced by the duration of interevent dry periods) as well as the infiltration capacity of soil and recovery of depression storage. As a result, a continuous approach is required to adequately size such facilities. This study for the continuous long-term analysis of urban drainage system used analytical probabilistic model based on derived probability distribution theory. As an alternative to the modeling of urban drainage system for planning or screening level analysis of runoff control alternatives, this model have evolved that offer much ease and flexibility in terms of computation while considering long-term meteorology. This study presented rainfall and runoff characteristics of the subject area using analytical probabilistic model. This study presented the average annual COSs and number of COSs when the interceptor capacity is in the range $3{\times}DWF$ (dry weather flow). Also, calculated the average annual mass of pollutant lost in CSOs using Event Mean Concentration. Finally, this study presented a decision of storage volume for CSOs reduction and water quality protection.

Storm-Water CSOs for Reservoir System Designs in Urban Area (도시유역 저류형 시스템 설계를 위한 CSOs 산정)

  • Jo, Deok-Jun;Kim, Myoung-Su;Lee, Jung-Ho;Park, Moo-Jong;Kim, Joong-Hoon
    • Proceedings of the Korea Water Resources Association Conference
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    • 2005.05b
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    • pp.1199-1203
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    • 2005
  • Combined sewer overflows(CSOs) are themselves a significant source of water pollution. Therefore, the control of urban drainage for CSOs reduction and receiving water quality protection is needed. Examples in combined sewer systems include downstream storage facilities that detain runoff during periods of high flow and allow the detained water to be conveyed by an interceptor sewer to a centralized treatment plant during periods of low flow. The design of such facilities as stormwater detention storage is highly dependant on the temporal variability of storage capacity available(which is influenced by the duration of interevent dry periods) as well as the infiltration capacity of soil and recovery of depression storage. As a result, a contiunous approach is required to adequately size such facilities. This study for the continuous long-term analysis of urban dranage system used analytical Probabilistic model based on derived probability distribution theory. As an alternative to the modeling of urban drainage system for planning or screening level analysis of runoff control alternatives, this model have evolved that offer much ease and flexibility in terms of computation while considering long-term meteorology. This study presented rainfall and runoff characteristics or the subject area using analytical Probabilistic model. Runoff characteristics manifasted the unique characteristics of the subject area with the infiltration capacity of soil and recovery of depression storage and was examined appropriately by sensitivity analysis. This study presented the average annual COSs and number of COSs when the interceptor capacity is in the range 3xDWF(dry weather flow). Also, calculated the average annual mass of pollutant lost in CSOs using Event Mean Concentration. Finally, this study presented a dicision of storage volume for CSOs reduction and water quality protection.

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Optimal Operating Condition of Vortex Separator for Combined Sewer Overflows Treatment (합류식 하수관거 월류수 처리를 위한 와류형 분리장치의 최적 운전조건)

  • Han, Jung-kyun;Joo, Jae-young;Lee, Bum-joon;Na, Ji-hun;Park, Chul-hwi
    • Journal of Korean Society of Water and Wastewater
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    • v.23 no.5
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    • pp.557-564
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    • 2009
  • A combined sewer system can quickly drain both storm water and sewage, improve the living environment and resolve flood measures. A combined sewer system is much superior to separate sewer system in reduction of the non-point source pollutant load. However, during rainfall. it is impossible in time, space and economic terms to cope with the entire volume of storm water. A sewage system that exceeds the capacity of the sewer facilities drain into the river mixed with storm-water. In addition, high concentration of CSOs by first-flush increase pollution load and reduce treatment efficiency in sewage treatment plant. The aim of this study was to develope a processing unit for the removal of high CSOs concentrations in relation to water quality during rainfall events in a combined sewer. The most suitable operational design for processing facilities under various conditions was also determined. With a designed discharge of 19.89 m/min, the removal efficiency was good, without excessive overflow, but it was less effective in relation to underflow, and decreased with decreasing particle size and specific gravity. It was necessary to lessen radius of vortex separator for increasing inlet velocity in optimum range for efficient performance, and removal efficiency was considered to high because of rotation increases through enlargement of comparing height of vortex separator in diameter. By distribution of influent particle size, the actual turbulent flow and experimental results was a little different from the theoretical removal efficiency due to turbulent effect in device.

Model Predictive Control for Distributed Storage Facilities and Sewer Network Systems via PSO (분산형 저류시설-하수관망 네트워크 시스템의 입자군집최적화 기반 모델 예측 제어)

  • Baek, Hyunwook;Ryu, Jaena;Kim, Tea-Hyoung;Oh, Jeill
    • Journal of the Korean Institute of Intelligent Systems
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    • v.22 no.6
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    • pp.722-728
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    • 2012
  • Urban sewer systems has a limitation of capacity of rainwater storage and problem of occurrence of untreated sewage, so adopting a storage facility for sewer flooding prevention and urban non-point pollution reduction has a big attention. The Korea Ministry of Environment has recently introduced a new concept of "multi-functional storage facility", which is crucial not only in preventive stormwater management but also in dealing with combined sewer overflow and sanitary sewer discharge, and also has been promoting its adoption. However, reserving a space for a single large-scale storage facility might be difficult especially in urban areas. Thus, decentralized construction of small- and midium-sized storage facilities and its operation have been introduced as an alternative way. In this paper, we propose a model predictive control scheme for an optimized operation of distributed storage facilities and sewer networks. To this aim, we first describe the mathematical model of each component of networks system which enables us to analyze its detailed dynamic behavior. Second, overflow locations and volumes will be predicted based on the developed network model with data on the external inflow occurred at specific locations of the network. MPC scheme based on the introduced particle swarm optimization technique then produces the optimized the gate setting for sewer network flow control, which minimizes sewer flooding and maximizes the potential storage capacity. Finally, the operational efficacy of the proposed control scheme is demonstrated by simulation study with virtual rainstorm event.