The residual chlorine concentration is an essential factor to secure reliable water quality in the water distribution systems. The chlorine concentration decays along the pipeline system and the main processes of the reaction can be divided into the bulk decay and the wall decay mechanisms. Using EPANET 2.0, it is possible to predict the chlorine decay through bulk decay and wall decay based on the pipeline geometry and the hydraulic analysis of the water distribution system. In this study, we tried to verify the predictability of EPANET 2.0 using data collected from experimental practices. We performed chlorine concentration measurement according to various Reynolds numbers in a pilot-scale water distribution system. The chlorine concentration was predicted using both bulk decay model and wall decay model. As a result of the comparison between experimental data and simulated data, the performance of the limited 1st-order model was found to the best in the bulk decay model. The wall decay model simulated the initial decay well, but the overall chlorine decay cannot be properly predicted. Simulation also indicated that as the Reynolds number increased, the impact of the wall

This research carried out an analysis on input cost and leakage reduction effect by leakage reduction method, focusing on the project for establishing an optimal water pipe network management system in the Taebaek region, which has been executed annually since 2009. Based on the result, optimal cost-benefit analysis models for water distribution network rehabilitation project were developed using DEA(data envelopment analysis) and multiple regression analysis, which have been widely utilized for efficiency analysis in public and other projects. DEA and multiple regression analysis were carried out by applying 4 analytical methods involving different ratios and costs. The result showed that the models involving the analytical methods 2 and 4 were of low significance (which therefore were excluded), and only the models involving the analytical methods 1 and 3 were suitable. From the result it was judged that the leakage management method to be executed with the highest priority for the improvement of revenue water ratio was installation of pressure reduction valve, followed by replacement of water distribution pipe, replacement of water supply pipe, and then leakage detection and repair; and that the execution of leakage management methods in this order would be most economical. In addition, replacement of water meter was also shown to be necessary in case there were a large number of defective water meters.

A CCTV inspection method has been widely used to assess sewer condition and performance, but Korea lacks a proper decision support system for prioritizing sewer repair and rehabilitation (R&R). The objective of this paper is to introduce the results that we have developed in the Sewer Condition Assessment and Rehabilitation Decision-making (SCARD) Program using MS-EXCEL. The SCARD-Program is based on a standardized defect score for sewer structural and hydraulic assessment. Priorities are ranked based on risk scores, which are calculated by multiplying the sewer severity scores by the environmental impacts. This program is composed of three parts, which are decision-making for sewer condition and performance assessment, decision-making for sewer R&R priority assessment, and decision-making for optimal budget allocation. The SCARD-Program is useful for decision-makers, as it enables them to assess the sewer condition and to prioritize sewer R&R within the limited annual budget. In the future, this program logic will applied to the GIS-based sewer asset management system in local governments.

본 연구에서는 내외수의 영향을 받는 지역의 폐합형 배수관망에 시간에 따른 유량과 수위의 변화를 계산할 수 있는 부정류 모델을 개발하는 것이다. 본 계산모형은 절점, 수로 및 계산점으로 구성된다. 1차원 Saint-Venant의 연속방정식과 운동량 방정식을 Preissmann의 4점 음해법으로 선형 연립방정식을 구성하고 절점과 수로를 Looped Network 알고리즘을 통해, 최상류단과 절점의 유입 유량을 고려하여 시간과 공간에 따른 유량과 수위의 변화를 모의하였다. 폐합형 배수관망에서 조도계수는 변화량에 중요한 물리적 요소 중 하나로 분석되었으며 본 모형은 고정된 상수값을 적용하였다. 모의된 각 계산점의 수위와 유량에 대해 기존 선진국 모형인 PC-SWMM Model과 RMS 오차를 비교하여 신뢰할만한 결과를 얻을 수 있었다. 본 모형은 추후 홍수 예경보 및 침수 범람 모의를 위한 기본모형에 반영할 경우 홍수추적과 같은 부정류해석을 위한 실무에 유용하게 사용될 수 있을 것으로 기대한다.

관망해석 시뮬레이션과 유전자 알고리즘에 기초한 최적화 모형을 이용하여 최소비용의 배수관망을 설계하는 방법론이 개발되었다. 유전자 알고리즘은 추계학적 최적화 기법의 하나로, 비선형적이고 계산량이 많은 관망설계 문제에 적용하기에 적합한 장점을 가지고 있다. 기존의 연구가 대부분 전체 관망의 신설 혹은 기존 관망의 병렬확장에만 적용하던 것에 비해 본 연구에서는 개발된 모형을 수지상(tree-type) 신설관 및 loop형 병렬증설관이 공존하는 시스템에 적용하