• Title/Summary/Keyword: sewer drainage

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Estimation of Solid Sediments Load by Sewer and Land Surface for Maintenance of Combined Sewer Systems (합류식 관거 유지관리를 위한 하수 및 지표면 고형물 부하량 산정)

  • Lee Jae-Soo;Park Moo-Jong
    • Journal of Korea Water Resources Association
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    • v.39 no.6 s.167
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    • pp.533-544
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    • 2006
  • The deposition of solids in combined sewer systems results in a loss of flow capacity that may restrict flow and cause a local flooding and enhanced solids deposition. In order to solve these problems and proper pipe management, estimation of solid loads from sewer and surface in a drainage basin is needed but this task is very difficult and extremely expensive. In this study, generalized procedures for estimating sewer solid loads during dry weather in combined sewer systems and for estimating solid loads on surface in a drainage basin developed by the U. S. Environmental Protection Agency were applied and analyzed in Gunja drainage basin in Korea. As result, the estimated solid loads from sewer and surface are 205.8,759kg/yr and 1,321,993kg/yr respectively, and total solid loads is 1,527,752kg/yr. The estimated solid removal from street cleaning, dredging from pipe system and pumping house is 1,486,636kg/yr. Therefore, the applied methods show resonable results. More reliable estimation can be achieved if long-term measurements and adjustment of estimation equations are carried out, and this estimation methods can be used usefully for the management of combined sewer system with reduction of cost and effort.

Analysis of Estimation Technique for Solid Sediments in Combined Sewer Systems (합류식 관거 내 고형물 퇴적량 산정기법 분석)

  • Lee, Jae-Soo
    • Journal of Korea Water Resources Association
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    • v.39 no.5 s.166
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    • pp.405-415
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    • 2006
  • The deposition of sewer solids during dry weather in combined sewer systems results in a loss of flow capacity that may restrict flow and cause a local flooding and enhanced solids deposition. Sewer solid accumulations in drainage systems also create the 'first-flush' phenomena during wet weather runoff periods. In order to solve these problems, measurement of these loadings for a given sewer system for extended period is needed but this task is very difficult and extremely expensive. In this study, generalized procedures for estimating sewer sediment solid during dry weather in combined sewer systems developed by the U. S. Environmental Protection Agency were applied in a drainage system in Korea. As result, the appropriate equation can be selected and applied according to the available data. However, the estimated solid sediment shows considerable difference between methods which classified by model and estimation methods of variable. The estimated values using equations (1) $\sim$ (4) are greater than that of equations (5) $\sim$ (9) and intermediate models show greater values than elaborate or simplest models. The comparison between simulated and measured solid deposition is difficult due to the absent of measurement data, but this estimation method can be used usefully for the management of sewer solid with reduction of cost and effort if the measurement is carried out and the equation is adjusted according to the actual drainage systems in Korea.

Development of Estimation Equations for Solid Deposition in Sewer Systems due to Rainfall (강우로 인한 관거 내 고형물 퇴적량 산정식 개발)

  • Lee, Jae-Soo;Lee, Se-Won
    • Journal of Korea Water Resources Association
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    • v.41 no.9
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    • pp.885-894
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    • 2008
  • The deposition of solids in combined sewer systems results in a loss of flow capacity that may restrict flow and cause a local flooding and enhanced solids deposition. In order to solve these problems and proper pipe management, estimations of solid loads on land surface in a drainage basin and solid deposition in sewer system due to rainfall are needed but these tasks are very difficult and very expensive. In this study, procedures for estimating solid loads on surface in a drainage basin were applied and analyzed in Gunja drainage basin in Korea. Also, this paper presents the development and application of estimation equation for solid deposition in sewer system due to rainfall based on the solid deposition estimated using MOUSE model. As results, the comparison between estimated and measured solid deposition is difficult due to the absent of measured data, but the estimated values using developed equations show applicability compared with the results of MOUSE model and the application of the other basin. The developed estimation equations can be used usefully for the management of combined sewer system.

Effects of Combined Sewer Overflows According to Drainage Basin Types (유역형상에 따른 합류식 하수도의 월류부하량 추정)

  • Lee, Cheol-Kyu;Hyun, In-Hwan;Jeong, Jeong-Youl;Shim, Jae-Hyun
    • Journal of the Korean Society of Hazard Mitigation
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    • v.4 no.4 s.15
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    • pp.21-26
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    • 2004
  • It is muck important to determine the intercepting capacities as measures for reducing the load of contamination influenced by CSOs during wet weather period. Intercepting and treating the whole rainfalls can be best measured for reducing the contamination load, but it is not desirable in view of scale and preservation of the wastewater treatment facilities. This study analyzed the quantity and quality of the water in the combined sewer by method of changing the type and size of drainage basin and intercepting capacities in rainfalls, estimate the influence the other CSOs at the change of planned intercepted quantity, and compared the degree of contamination load between the combined system and separate system by examining the influence of the other CSOs at the change of planned intercepted quantity.

Estimation of Solid Deposition in Sewer Systems using MOUSE Model (MOUSE 모형을 이용한 관거 내 고형물 퇴적량 산정)

  • Lee, Jae-Soo
    • Journal of Korea Water Resources Association
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    • v.40 no.5
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    • pp.397-407
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    • 2007
  • The deposition of sewer solids during dry weather in combined sewer systems results in a loss of flow capacity that may restrict flow and cause a local flooding and enhanced solids deposition. In order to solve these problems and to manage sewer systems efficiently, development of estimation equations for solid sediments In sewer systems is needed. However, estimation of solid sediments has performed using specific methods such as computer model before the development of estimation equations. In this study, solid sediments in sewer systems were estimated using MOUSE model for Gunja drainage basin in Korea and the estimated results were verified using estimation equations developed by the U.S. Environmental Protection Agency. As results, the estimated values using MOUSE model are smaller than that of equations developed in 1977 but greater than that of equations developed in 1984. Although the comparison between simulated and measured solid deposition is difficult due to the absent of measurement data, the estimated values using MOUSE model is reliable and can be used to develop estimation equations for solid sediment in Gunja drainage basin.

Effect of infiltration/inflow by rainfall for sewerage facilities in the area with partially separate sewer system (불완전 분류식 하수처리구역의 강우에 의한 하수도시설의 침입수/유입수 영향 분석)

  • Shin, Jungsub;Han, Sangwon;Yook, Junsu;Lee, Chungu;Kang, Seonhong
    • Journal of Korean Society of Water and Wastewater
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    • v.33 no.3
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    • pp.177-190
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    • 2019
  • The purpose of this study was to analyze the effects of sewerage facilities through I/I analysis by rainfall by selecting areas where storm overflow diverging chamber is remained due to the non-maintenance drainage equipment when the sewerage system was reconstructed as a separate sewer system. Research has shown that wet weather flow(WWF) increased from 106.2% to 154.8% compared to dry weather flow(DWF) in intercepting sewers, and that the WWF increased from 122.4% to 257.6% in comparison to DWF in storm overflow diverging chamber. As a result, owing to storm overflow diverging chamber of partially separate sewer system with untreated tributary of sewage treatment plant, rainfall-derived infiltration/inflow(RDII) has been analyzed 2.7 times higher than the areas without storm overflow diverging chamber. Meanwhile, infiltration quantity of this study area was relatively higher than that of other study areas. Therefore, it is necessary to reduce infiltration quantity through sewer pipe maintenance nearby river. Drainage equipment maintenance should be performed not to operate storm overflow diverging chamber in order to handle the appropriate sewage treatment plant capacity for rainfall because it is also expected that RDII due to rain will occur after maintenance. In conclusion, it is necessary to recognize aRDII(allowance of rainfall-derived infiltration/inflow) and to be reflected it on sewage treatment plant capacity because aRDII can occur even after maintenance to the complete separate sewer system.

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.

Climate change effect on storm drainage networks by storm water management model

  • Hassan, Waqed Hammed;Nile, Basim Khalil;Al-Masody, Batul Abdullah
    • Environmental Engineering Research
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    • v.22 no.4
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    • pp.393-400
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    • 2017
  • One of the big problems facing municipalities is the management and control of urban flooding where urban drainage systems are under growing pressure due to increases in urbanization, population and changes in the climate. Urban flooding causes environmental and infrastructure damage, especially to roads, this damage increasing maintenance costs. The aim of the present study is to develop a decision support tool to identify the performance of storm networks to address future risks associated with climate change in the Middle East region and specifically, illegal sewer connections in the storm networks of Karbala city, Iraq. The storm water management model has been used to simulate Karbala's storm drainage network using continuous hourly rainfall intensity data from 2008 to 2016. The results indicate that the system is sufficient as designed before consideration of extra sewage due to an illegal sewer connection. Due to climate changes in recent years, rainfall intensity has increased reaching 33.54 mm/h, this change led to flooding in 47% of manholes. Illegal sewage will increase flooding in the storm system at this rainfall intensity from between 39% to 52%.

Development of Optimal Design Simulation Model for Least Cost Urban Sewer System Considering Risk (I) (위험도를 고려한 최소비용 도시우수관망 설계의 최적화 모형개발 (I): 모형의 개발과 시험유역의 적용)

  • Jang, Suk-Hwan;Park, Sang-Woo
    • Journal of Korea Water Resources Association
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    • v.38 no.12 s.161
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    • pp.1021-1028
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    • 2005
  • This study purpose to develop simulation model of optimal design condition of urban storm sewer system considering risk. Urban Storm Sewer Optimal Design Model(USSOD) can compute pipe capacity, pipe slope, crown elevation, excavation depth, risk and return cost in the condition of design discharge. Rational formula is adopted for design discharge and Manning's formula is used for pipe capacity. Discrete differential dynamic programming(DDDP) technique which is a kind of dynamic programming(DP) is used for optimization and first order second moment approximation method and uncertainty analysis is also for developing model. USSOD is applied to hypothetical drainage basin to test and verify, which resulted economical and efficient design in urban drainage sewer system.

Operation Strategy for a Multi-functional Storage Facility (하수저류시설 운영 전략 연구)

  • Yun, So-Young;Lim, Yoon-Dae;Oh, Jei-ll
    • Journal of Korean Society of Water and Wastewater
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    • v.25 no.6
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    • pp.959-970
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    • 2011
  • The frequent occurrence of sewer flooding and the intermittent discharge of non-point pollutions into the receiving water body are emerging issues recently due to the climate change and urbanization. These problems might be solved by introducing a multifunctional storage facility. Unlike a single-purpose storage facility, a multi-purpose storage facility should be operated at an instant to meet for flood prevention, reduction of non-point pollution and/or rainwater reuse. Considering various operational combinations it is suggested that prevention of sewer flooding coupled with reduction of non-point pollution is the most effective operational strategy for a multi-functional storage facility.