• Journal of Korean Tunnelling and Underground Space Association
• /
• v.10 no.3
• /
• pp.257-267
• /
• 2008

Tunnels acting as drains involve groundwater-related problems such as deterioration of drainage systems or leakage through the linings. Generally initial and minor leakage problems can not be recognized by naked eyes. When the leakage over the linings is noticed, damages to structures and facilities have already occurred and could be considerable. Therefore it is vital to recognize initial leakage as early as possible and provide appropriate measures. Detection of leakage under operation requires installing piezometer. However, that may cause destruction of water proofing sheet which is generally not allowed. In this study electric resistivity method, one of the geophysical surveys, was adopted to detect possible leakage through tunnel linings. Physical lining models were made in the laboratory. The electric response was monitored for varying hydraulic conditions. It is shown that the method is very useful to detect initial leakage and monitor the malfunction of drainage system. Furthermore the method can also be used to check the quality of any repairing works of linings.

• Construction Engineering and Management
• /
• v.24 no.6
• /
• pp.43-48
• /
• 2023

• Journal of the Korean Society of Groundwater Environment
• /
• v.5 no.3
• /
• pp.123-128
• /
• 1998

Leaky aquifer (two-aquifer) system in this study consist of an upper unconfined and a lower confined aquifer with a leaky layer between them. It is assumed that water is withdrawn from the confined aquifer of the aquifer system, the upper unconfined aquifer will be affected by the leaky aquifer separating the upper and lower aquifer. In order to analyze the leaky aquifer, the determination of hydraulic parameters is needed. In this paper, hydraulic parameters are suggested by improved SM (slope-matching) method. To know variation of groundwater head in leaky aquifer systems, an numerical scheme is made using the finite difference method. To verify the numerical scheme, its solution is compared to analytical one. The solution of them agrees well in one-dimensional system at steady-state condition. And heads of groundwader are computed upper and lower aquifer in two-dimensional system.

• The Journal of the Korea Contents Association
• /
• v.13 no.1
• /
• pp.48-54
• /
• 2013

With the development of IT convergence technology and the construction of infrastructure for water leakage detection, the detection technology of damaged pileline's location and size is being spotlighted. The exhaustion of water resource due to the leakage of water supply facilities renders it urgent to detect water leakage effectively. In this paper, we proposed the water leakage detection monitoring simulation using the power spectrum analysis. We measured the reflected wave signal by the proposed water leakage detection monitoring simulation. The rate variability is calculated form the acquired reflected wave signal. And the power spectrum analysis using the Fast Fourier Transform is evaluated the correlation between the water leakage's size and the reflected wave. Ultimately, this paper suggests empirical simulation to verify the adequacy and the validity. Accordingly, the satisfaction and the quality of services will be improved the efficient management by supporting the real-time water leakage detection.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.26 no.7
• /
• pp.963-971
• /
• 2022

Water pipeline network in local and metropolitan area is buried underground, by which it is hard to know the degree of pipe aging and leakage. In this study, assuming various sensor combinations installed in the water pipeline network, the optimal algorithm was derived by predicting the water flow rate and pressure through artificial intelligence algorithms such as linear regression and neuro fuzzy analysis to examine the possibility of detecting pipe leakage according to the data combination. In the case of leakage detection through water supply pressure prediction, Neuro fuzzy algorithm was superior to linear regression analysis. In case of leakage detection through water supply flow prediction, flow rate prediction using neuro fuzzy algorithm should be considered first. If flow meter for prediction don't exists, linear regression algorithm should be considered instead for pressure estimation.

• Proceedings of the Korean Information Science Society Conference
• /
• 2004.04a
• /
• pp.163-165
• /
• 2004

임베디드 시스템에 사용되는 실시간 운영체제는 한정된 자원의 효율적인 관리가 필수적이다. 특히, 메모리는 운영체제의 실행에 있어서 꼭 필요한 자원으로써, 메모리 관리 기법은 시스템의 성능에 영향을 미칠 수 있기 때문에 실시간 운영체제뿐만 아니라 범용 운영체제에서도 매우 중요하게 다루어지고 있다. 본 논문은 실시간 운영체제에서 발생할 수 있는 메모리 누수 문제를 최소화하기 위한 기법을 설계 및 구현하였다.

• Journal of Korean Society of Water and Wastewater
• /
• v.23 no.6
• /
• pp.871-879
• /
• 2009

The Korea has high population density, so the precipitation per capita is only one tenth to world average. The water resource in Korea is insufficient. But the leakage in the water distribution system is about 25%, and it is lower than other countries where water utilities are managed well. The pipelines' management also is getting worse because the leakage in the pipelines lower the ground density surrounding pipes. So, managing the leakage in the water distribution system is very important in the view of increasing the water resources and doing the efficient management of the pipeline system. Accordingly this study aimed to conduct a cause-analysis with scientific approaches considering key local factor related to water loss of distribution system and derive better performance indicators which are able to evaluate the real state of water loss management reasonably. Also this research aimed to develop a methodology capable of judging condition of infrastructure of water distribution system.

• Water for future
• /
• v.54 no.4
• /
• pp.80-86
• /
• 2021

• Proceedings of the Korea Water Resources Association Conference
• /
• 2012.05a
• /
• pp.649-653
• /
• 2012

제방붕괴에 따른 피해발생을 억제하기 위해서는 제방거동 특성을 사전에 충분한 정보를 통하여 파악할 필요가 있으며, 이를 위해 광섬유를 이용한 제방누수감지 센서를 개발하였다. 광섬유는 내구성 및 유지관리가 우수하고 장기간 사용에도 장점을 가지고 있다. 개발된 센서들은 현장에 적용하기 전에 충분한 실험을 통해 성능과 기능에 대한 검토가 필요하다. 본 연구에서는 개발된 광섬유 센서를 대상으로 제방누수감지 목적으로 설치할 경우 센서의 이행도를 시험하였다. 시험방법은 토조를 설치하여 제체에 작용하는 간극수압, 온도 및 변위 등을 대상으로 하였다. 이를 위해 폭 5m, 길이 7m 및 높이 2m의 토조를 설치하여 가제방의 주요 부위에 기존 계측기기와 광섬유 센서를 같이 매설하고 수위와 시간변화에 따른 주요 특성치에 대하여 실험하였다. 실험결과 광섬유 센서가 연구목적에 부합하는 계측치를 보여주어 제방누수감지 센서로 활용 가능함을 확인하였다. 아울러 광섬유 센서의 기능에 대한 전반적인 실험을 통하여 현장적용에 대한 사용성을 입증하였다.

• Journal of the Korean Society for Nondestructive Testing
• /
• v.34 no.1
• /
• pp.44-52
• /
• 2014

Leakage is an important factor to be considered for the management of underground water supply pipelines in a smart water grid system, especially if the pipelines are aged and buried under the pavement or various structures of a highly populated city. Because the exact detection of the location of such leaks in pipelines is essential for their efficient operation, a new methodology for leak location detection based on frequency band variation, windowing filters, and probability is proposed in this paper. Because the exact detection of the leak location depends on the precision of estimation of time delay between sensor signals due to leak noise, some window functions that offer weightings at significant frequencies are applied for calculating the improved cross-correlation function. Experimental results obtained by applying this methodology to an actual buried water supply pipeline, ~ 253.9 m long and made of cast iron, revealed that the approach of frequency band variation with those windows and probability offers better performance for leak location detection.