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

• Journal of Wetlands Research
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• v.19 no.3
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• pp.296-302
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• 2017

Generally, a parking lot is constructed using asphalt or concrete. Such materials are impermeable, which means that a parking lot will directly release pollutants to any nearby water system during a rainfall event. An increased quantity of nonpoint source pollutants harms the ecohydrological system and causes further environmental damage leading to dysfunctional water circulation systems. Therefore, there is an urgent need for the design and application of Low Impact Development (LID) systems that allow more effective prevention of water circulation problems and management of nonpoint source pollution. This study aims to support such efforts by analyzing a permeable paver parking lot constructed using one of the LID techniques and comparing it to a conventional one in terms of the concentration of pollutants, nonpoint source pollution load and runoff rainfall lag effects during a rainfall event; it could serve as a reference for the construction of permeable paver parking lots in the future.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.20 no.4
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• pp.367-374
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• 2002

Maintainability of highways is an important problem that is considered in the planning steps of a highway development process. A number of asset management systems have been developed to precisely predict maintenance and pavement expenditures for better decision making, But these systems are not helpful in reducing maintenance costs. Optimization of some highway design characteristics in the planning phases may reduce maintenance costs over the life cycle of highway. The formulations for initial and maintenance costs have been developed based on which design variables can be chosen to minimize these costs, focusing on the sideslope in cut and fill sections. Maintenance cost has been represented as a function of sideslope, width of highway cross section, and annual average daily traffic. A real geographic database of between Chung joo and Sang joo city in Choong buk was used and it is presented to investigate the sensitivities of maintenance cost and soil characteristics in selecting alignments. In this study, we present that maintenance cost and soil characteristics are important considerations in alignment optimization.

• Journal of Korean Society for Geospatial Information Science
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• v.1 no.1 s.1
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• pp.117-125
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• 1993

GSIS is a system that contains spatially referenced data that can be analyzed and converted to information for a specific set of purpose, or application. The key feature of a GSIS is the analysis of data to produce new information. The current emphasis in the transportation is to implement GSIS in conjunction with real time systems Requirements for a transportation GSIS are very different from the traditional GSIS software that has been designed for environmental and natural resource applications. A transportation GSIS may need to include the ability for franc volume, forecasting, pavement management A regional transportation planning model is actually a set of models that are used to inventory and then forecast a region's population, employment, income, housing and the demand of automobile and transit in a region. The data such as adminstration bound, m of landuse, road networks, location of schools, offices with populations are used in this paper. Many of these data are used for analyzing of traffic volume, traffic demand, time of mad construction using GSIS.

• Journal of the Korean Recycled Construction Resources Institute
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• v.3 no.4
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• pp.335-341
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• 2015

Various display devices has been increasing also using waste LCD glass in accordance with the used developed, because circumstances that are most landfill or incineration, are needed research on recycling measure of the using waste LCD glass. Therefore, in this study, to try to assess the basic mechanical properties of concrete mixed with using waste LCD glass micropowder through the room mixed test. According to the study results, the more replacement rate increases, the characteristics of the concrete showed a tendency to decrease slightly. However, according to the small value, it is expected to improve the advanced experimental values by refining the grain size of the materials used to be processed into spheres.

• Journal of Environmental Science International
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• v.16 no.3
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• pp.299-310
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• 2007

It will be necessary to make proper management plans to preserve the air quality in good level for the public. In order to make these plans, source information and detail emission inventories of the city and near industrial areas should be given. However, lack of the source measurements data makes us more difficult to complete the source inventory. VOC source Inventory could be utilized for the feasibility study to estimate the contribution of VOC sources presenting to the receptor such as residential area. It may give policy maker an idea how to control the air quality, and improve their social environment in the area. This study shows data that measured VOCs concentrations from the local industrial areas in Jeonju during from May 2005 to January 2006. The samples were collected from the near sources in 7 major factories in the industrial park as well as 5 general sources in near city Jeonju area to elucidate the abundances of speciated VOCs and their spacial and temporal distributions depending on source bases. Industrial sources are as follows; chemical, food, paper, wood, metal, non-metal (glass), and painting (coating) industries. The 5 general sources are sampled from tunnel, gasoline gas station, dry cleaning shop, printing (copy) shop, and road pavement working place in urban area. To understand the near source effect at receptor, samples from the 2 receptor sites (one is at center of the industrial complex and the other site is at distance residential area downwind from the center) were collected and analyzed for the comparison to source concentration. The mass contributions of the speciated VOC to total mass of VOCs measured from the different sources and ambient (2 receptors) were presented and discussed.

• Journal of the Korean Recycled Construction Resources Institute
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• v.9 no.3
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• pp.348-355
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• 2021

Asphalt, widely used for road pavement, has different required physical properties depending on the environment to which the road is exposed. Therefore, it is essential to maximize the life of asphalt roads by evaluating the physical properties of asphalt according to additives and selecting an appropriate formulation considering road traffic and climatic environment. Dynamic shear rheometer(DSR) test is mainly used to measure resistance to rutting among various physical properties of asphalt. However, the DSR test has limitations in that the results are different depending on the experimental setting and can only be measured within a specific temperature range. Therefore, in this study, to overcome the limitations of the DSR test, the rheological characteristics were predicted by learning the images collected from atomic force microscopy. Images and rheology properties were trained through EfficientNet, one of the deep learning architectures, and transfer learning was used to overcome the limitation of the deep learning model, which require many data. The trained model predicted the rheological properties of the asphalt binder with high accuracy even though different types of additives were used. In particular, it was possible to train faster than when transfer learning was not used.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.301-310
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• 2020

The purpose of paper is to find index for building digital database of bike infrastructure statistics by analyzing the existing design standards and manuals. The design standards and guides of both central and local governments which designates the design elements of bikeway were investigated to find the primary index, and then the attribute data of bikeway were grouped into four categories including transportation, geometry, pavement, safety and utility facility, and were analyzed to find the secondary index. A FGI(Focus Group Interview) was conducted with experts in the arena of transportation to collect the opinions on the selected index. It is found that the final twenty four design elements were selected and additional six elements were added. The proposed twenty four index of bikeway design elements are considered to be included when building the digital bikeway register database.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.364-364
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• 2021

최근 지구온난화에 따른 홍수 및 가뭄 재해의 피해는 심각해졌다. 그러므로 미래 재해로 인한 피해를 완화시키기 위한 수자원 계획 수립 및 관리의 중요성이 높아지고 있다. 전지구모형(General Circulation Model, GCM)은 기후 변화 연구에서 기후 요인의 변동을 조사하는데 널리 사용되어지고 있다. 본 연구에서는 기후 변화 시나리오를 고려하여 도시유역의 소유역 별 투수성포장 시설의 우선순위를 산정했다. 기후 변화 시나리오에는Representative Concentration Pathway(RCP)와 Shared Socioeconomic Pathway(SSP) 시나리오가 사용되었으며 CMIP5와 CMIP6의 GCM을 고려하였다. GCM을 이용하여 산정된 미래 월 강수량은 분위사상(Quantile Mapping)법의 비모수변환(Non-Parametirc Transformation)법 중 하나인 스플라인 평활(Smoothing Spline) 방법을 사용하여 편이보정 되었다. 연구대상지는 목감천 유역이 선정되었으며, 27개의 소유역에 대해 투수성포장 시설의 우선순위를 산정되었다. 우선순위 산정을 위한 평가 기준들은 Driving force-Pressure-State-Impact-Response(DPSIR) 모형을 기반으로 산정 되었다. 평가기준에 따른 27개의 소유역에 대한 값들은 통계청 및 국가수자원관리종합정보시스템(WAMIS), 편이보정 된 미래 강수량과 Storm Water Management Model(SWMM)을 이용한 유출분석 결과를 통해 도출했다. 평가기준들의 객관적 가중치 산정을 위해 엔트로피 방법을 이용했다. 최종적으로 목감천 소유역 별 투수성포장 시설의 우선순위 산정에는 다기준의사결정기법 중 하나인 TOPSIS방법을 사용했다. 산정 결과 DPSIR 모형을 기반으로 수문학적 요소에 큰 가중치를 부여한 경우 하류보다는 상류 유역에서 높은 우선순위를 확인했으며, 각 요소별 동일한 가중치를 주었을 때 하류 유역에 높은 우선순위가 집중되었다.

• Journal of Korean Society on Water Environment
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• v.40 no.3
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• pp.131-139
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• 2024

This study investigated the chemical properties of Organic Soil Amendments (OSAs) made from organic waste. It also assessed the effectiveness of using these OSAs in the soil layer of Green Infrastructure (GI) to reduce stormwater runoff and non-point source pollutants. The goal was to improve the national environmental value through resource recycling and contribute to the circular economy transformation and carbon neutrality of urban GI. The OSAs used in this study consisted of spent coffee grounds and food waste compost. They were found to be nutrient-rich and stable as artificial soils, indicating their potential use in the soil layer of GI facilities. Applying OSAs to bio-retention cells and permeable pavement resulted in a reduction of approximately 11-17% in stormwater runoff and a decrease of about 16-18% in Total Phosphorus (TP) discharge in the target area. Increasing the proportion of food waste compost in the OSAs had a positive impact on reducing stormwater runoff and pollutant emissions. This study highlights the importance of utilizing recycled resources and can serve as a foundation for future research, such as establishing parameters for assessing the effectiveness of GI facilities through experiments. To enable more accurate analysis, it is recommended to conduct studies that consider both the chemical and biological aspects of substance transfer in OSAs.