• Title/Summary/Keyword: sewer data

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Causes of Fish Kill in the Urban Stream and Prevention Methods II - Application of Automatic Water Quality Monitoring Systen and Water Quality Modeling (도시 하천에서의 어류 폐사 원인 분석 II - 자동수질측정장치 및 수질모델의 사용)

  • Lee, Eun-hyoung;Seo, Dongil;Hwang, Hyun-dong;Yun, Jin-hyuk;Choi, Jae-hun
    • Journal of Korean Society of Water and Wastewater
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    • v.20 no.4
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    • pp.585-594
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    • 2006
  • This study focused on the causes of fish kills and its prevention methods in Yudeung Stream, Daejeon, Korea. Intense field data, continuous water quality monitoring system and water quality modeling were applied to analyze the causes. Pollutant can be delivered to urban streams by surface runoff and combined sewer overflows in rainfall events. However, water quality analysis and water quality modeling results indicate that the abrupt fish kills in the Yudeung stream seems to be caused by combined effect of DO depletion, increase in turbidity and other toxic material. Excessive fish population in the study area may harm the aesthetic value of the stream and also has greater potential for massive fish kills. It is suggested to implement methods to reduce delivery of pollutants to the stream not only to prevent fish kills but also to keep balance of ecosystem including human uses. Frequent clean up of the urban surface and CSO, installation of detention basin will be helpful. In the long run, it seems combined sewer system has be replaced with separate sewer system for more effective pollutant removal in the urban area.

Prediction of Return Periods of Sewer Flooding Due to Climate Change in Major Cities (기후변화에 따른 주요 도시의 하수도 침수 재현기간 예측)

  • Park, Kyoohong;Yu, Soonyu;Byambadorj, Elbegjargal
    • Journal of Korean Society of Water and Wastewater
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    • v.30 no.1
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    • pp.41-49
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    • 2016
  • In this study, rainfall characteristics with stationary and non-stationary perspectives were analyzed using generalized extreme value (GEV) distribution and Gumbel distribution models with rainfall data collected in major cities of Korea to reevaluate the return period of sewer flooding in those cities. As a result, the probable rainfall for GEV and Gumbel distribution in non-stationary state both increased with time(t), compared to the stationary probable rainfall. Considering the reliability of ${\xi}_1$, a variable reflecting the increase of storm events due to climate change, the reliability of the rainfall duration for Seoul, Daegu, and Gwangju in the GEV distribution was over 90%, indicating that the probability of rainfall increase was high. As for the Gumbel distribution, Wonju, Daegu, and Gwangju showed the higher reliability while Daejeon showed the lower reliability than the other cities. In addition, application of the maximum annual rainfall change rate (${\xi}_1{\cdot}t$) to the location parameter made possible the prediction of return period by time, therefore leading to the evaluation of design recurrence interval.

Correlation Analysis of Sewer Integrity and Ground Subsidence (하수관로 건전도와 도로함몰 발생 상관관계 분석)

  • Kim, Jinyoung;Kang, Jaemo;Choi, Changho;Park, Duhee
    • Journal of the Korean GEO-environmental Society
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    • v.18 no.6
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    • pp.31-37
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    • 2017
  • In recent years, the increasing trend of ground subsidence in major cities has caused social problems. Aged sewer pipeline as a main attribute for the subsidence is simply replaced and maintained according to a survey result with related to its buried period. However, other attributes and risk analysis for the subsidence have not been well studied yet. In this point, this study proposed various environmental and structural attributes with related to sewer pipelines and, then, a method of ground subsidence risk evaluation with a certain level of reliability. In order to find effective attributes to ground subsidence near to sewer, the nearest sewerage data were extracted at the location of subsidence in the City of Seoul, and a level of correlation was analyzed between subsidence and individual attribute. The effective weight factors for the proposed attributes was estimated through AHP analysis and its applicability was verified by comparing the actual subsidence data to the risk evaluation in the pilot study district of Seoul.

Urban Nonpoint Source Pollution Assessment Using A Geographical Information System (GIS를 이용한 도심지 Nonpoint Source 오염 물질의 평가연구)

  • ;Stephen J. Ventura;Paul M. Harris;Peter G. Thum;Jeffrey Prey
    • Spatial Information Research
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    • v.1 no.1
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    • pp.39-53
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    • 1993
  • A geographical information systems(GIS) was a useful aid in the assessment of urban nonpoint source pollution and the development of a pollution control strategy. The GIS was used for data integration and display, and to provide data for a nonpoint source model. An empirical nonpoint source loading model driven by land use was used to estimate pollutant loadings of priority pollutant. Pollutant loadings were estimated at fine spatial resolution and aggregated to storm sewer drainage basins(sewershedsl. Eleven sewersheds were generated from digital versions of sewer maps. The pollutant loadings of individual land use polygons, derived as the unit of analysis from street blocks, were aggregated to get total pollutant loading within each sewershed. Based on the model output, a critical sewershed was located. Pollutant loadings at major sewer junctions within the critical sewershed were estimated to develop a mi t igat ion strategy. Two approaches based on the installat ion of wet ponds were investigated -- a regional approach using one large wet pond at the major sewer outfall and a multi-site approach using a number of smaller sites for each major sewer junction. Cost analysis showed that the regional approach would be more cost effective, though it would provide less pollution control.

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Design Flow Velocity Changes According to the Design Flow Determination Methods in the Sanitary Sewer (오수관 설계유량 산정법이 설계유속에 미치는 영향)

  • Hyun, In-hwan;Won, Seung-hyun;Kim, Hyung-jun;Lee, Che-in
    • Journal of Korean Society of Water and Wastewater
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    • v.19 no.6
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    • pp.749-757
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    • 2005
  • The present study analyzed actual cases of designed flow estimation method and designed flow rate of sewage pipe lines. In order to examine the effects of peak-hour demand factor estimation with given daily highest peak loading, we analyzed its effects on designed flow rate with changing the peak-hour demand factor from 2.0 to 10.0. The results of this study are as follows. When reviewing the recent designs, we found that 59.4% of pipe line with 250mm and 300mm diameter, which fall under minimum allowable pipeline did not meet the minimum velocity which is specified as 0.6m/sec in design standards. The pipe line that have minimal access population or have very low slope did not satisfy the minimum velocity. In estimating the designed sewage flow, the applied daily highest peak loading and hourly highest peaking loading were the load factor for the entire population of the planned area, and for the peak loading of the initial pipes connected to a very small population, we applied the same factor as that applied to the entire area and, as a result, the hourly highest flow was underestimated. Because, in case of the initial pipes, the method of applying the same peak loading to all subject areas is highly possible to produce underestimated design flow, when estimating the designed flow of the initial pipes connected to a small population need to adopt a rational flow factor according to the size of population. For this, it is considered to investigate and analyze raw data on daily and hourly variation of sewage flow.

Development of a Decision Making Model for Efficient Rehabilitation of Sewer System (효율적인 하수관거 개량을 위한 의사결정모형의 개발)

  • Lee, Jung-Ho;Jun, Hwan-Don;Joo, Jin-Gul;Kim, Joong-Hoon
    • Journal of Korea Water Resources Association
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    • v.41 no.2
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    • pp.127-135
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    • 2008
  • The objective of sewer rehabilitation is to improve its function while eliminating inflow/infiltration (I/I) and insufficient carrying capacity (ICC). Such rehabilitation efforts, however, have not been particularly successful due to a lack of sewer data and unsystematic field practices. The present study aimed to solve these problems by developing a decision making model consisting of two models: the rehabilitation weighting model (RWM) and the rehabilitation priority model (RPM). In RWM, the I/I of each pipe in a drainage district is estimated according to various defects, with each defect given an individual weighting factor using an analytic hierarchy process (AHP). RPM determines the optimal rehabilitation priority (ORP) using a genetic algorithm (GA). The developed models can be used to overcome the problems associated with unsystematic practices and, in practice, as a decision making tool for urban sewer system rehabilitation.

Modeling Large Scale of Urban Nonpoint Source Pollution using a Geographic Information System (지리정보체계를 이용한 도시 비점원오염의 대축척 모형화)

  • Kim, Kye-Hyun
    • Journal of Korean Society for Geospatial Information Science
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    • v.1 no.1 s.1
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    • pp.171-180
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    • 1993
  • Concern about nonpoint source pollution associated with urban storm water has led to the development of new tools for better water quality planning. This paper presents an application of a geographic information system (GIS) for urban water quality study. The GIS was used to manage land use data for nonpoint source pollution modeling and to aggregate pollutant loadings within various types of geographic units. An empirical water quality model was used to estimate pollutant loadings based primarily on land use. A land use coverage was created by updating an old coverage through interpretation of recent photography. This land use coverage was also used to record all pollutant loadings for each land use polygon. Storm sewer maps were digitized and interpreted to create a coverage of storm sewer basins and sub-basins. By overlaying pollutant loadings with the sewer sub-basin layer, aggregated pollutant loadings for major sewer outfalls were calculated. Based on the loading information, critical areas of excessive pollutant loadings were located and the effectiveness of Best Management Practices (BMPs) to control pollutant loadings were evaluated.

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Development of Flood Inundation Analysis System for Urban Areas using GIS (GIS를 이용한 도시유역 홍수침수 분석시스템 구축)

  • 최성열;이재영;조원철;이재호;최철관
    • Spatial Information Research
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    • v.11 no.2
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    • pp.155-170
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    • 2003
  • Flood inundation analysis system using GIS has been developed to simulate inundation in airport drainage areas. The model developed in this study has been synthetically presented and constructed the preprocess for database construction and input data preparing through a graphic user interface, GUI system and the postprocess processing graphically output resulted in mainprocess analysis model linked GIS(ArcView/Avenue). The mainprocess analysis model was simulated in real phenomenon caused by inflow of storm sewer system by simulation flooding due to backwater effect and surcharged flow in storm sewer system by simulating interaction coupling the overland flow analysis model and storm sewer system analysis model. In the future, the flood inundation analysis system developed in this study will be a great contribution to systematic decision-making for establishing the flood-mitigation management and facilities improvement plan to flooding damage in airport.

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Development of Random Forest Model for Sewer-induced Sinkhole Susceptibility (손상 하수관으로 인한 지반함몰의 위험도 평가를 위한 랜덤 포레스트 모델 개발)

  • Kim, Joonyoung;Kang, Jae Mo;Baek, Sung-Ha
    • Journal of the Korean Geotechnical Society
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    • v.37 no.12
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    • pp.117-125
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    • 2021
  • The occurrence of ground subsidence and sinkhole in downtown areas, which threatens the safety of citizens, has been frequently reported. Among the various mechanisms of a sinkhole, soil erosion through the damaged part of the sewer pipe was found to be the main cause in Seoul. In this study, a random forest model for predicting the occurrence of sinkholes caused by damaged sewer pipes based on sewage pipe information was trained using the information on the sewage pipe and the locations of the sinkhole occurrence case in Seoul. The random forest model showed excellent performance in the prediction of sinkhole occurrence after the optimization of its hyperparameters. In addition, it was confirmed that the sewage pipe length, elevation above sea level, slope, depth of landfill, and the risk of ground subsidence were affected in the order of sewage pipe information used as input variables. The results of this study are expected to be used as basic data for the preparation of a sinkhole susceptibility map and the establishment of an underground cavity exploration plan and a sewage pipe maintenance plan.

Design and Implementation of P2P-Based Data Service System to Reduce Server Load (서버 부하 감소를 위한 P2P 기반 데이터 서비스 시스템의 설계 및 구현)

  • Lee, Kwang-Hyon;Jeon, Hyung-Su;Yoo, Cheol-Jung;Chang, Ok-Bae
    • The KIPS Transactions:PartC
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    • v.9C no.5
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    • pp.615-626
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    • 2002
  • Recently, as interest in Home networking is increased, research about multimedia clip service is gone. Because of the limit to bandwidth of home network, the problem of server traffic is increased by transferring many multimedia data through Client-Sewer Way for long. The data share network system applied is designed and implemented to solve this problem. P2P is connected directly between clients and exchanges data without going through a sewer. We implemented platform-independent System using Java and applied P2P skill to reduce server traffic.