• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.403-403
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• 2021

비점오염물질은 강우에 의해 유출되며 계절적, 자연적 편차가 크게 나타나고, 오염원이 광범위하게 산재하고 있어 오염물질의 발생량과 부하량의 관리가 쉽지 않다. 따라서 비점오염원 관리지역은 오염물질이 하천에 미치는 수질 특성을 파악하는 것이 중요하다. 그러나 수질항목만으로 하천의 수질 특성을 파악하기에는 어려움이 있으며, 수질 특성을 파악하기 위해 다양한 분석방법이 필요하다. 본 연구에서는 비점오염원 관리지역 중 골지천 유역의 수질 특성을 파악하기 위해 통계분석 기법을 활용하여 수질항목간의 상관관계를 분석하고자 하였다. 2017년부터 2019년까지 골지천 유역 내 5개 지점에 대하여 비강우시 23회, 강우시 지점별 173회~196회의 모니터링 결과를 이용하였으며, EC, 탁도, BOD₅, SS, T-N, T-P, TOC의 수질항목을 이용하여 Pearson 상관관계 분석을 실시하였다. 상관관계 분석 결과 비강우시 분석 결과 EC는 -0.06~-0.32, T-N은 0.19~0.37로 낮은 상관성을 갖는 것으로 나타났으며, EC와 T-N을 제외한 탁도와 BOD₅, SS, T-P, TOC의 경우 서로 0.6 이상의 상관성을 갖는 것으로 나타났다. 특히, 탁도와 SS, T-P, T-P와 TOC는 0.9 이상의 높은 상관성을 갖는 것으로 나타났다. 강우시 분석 결과 EC는 비강우시와 유사하게 -0.07~-0.24로 낮은 상관성을 갖는 것으로 나타났으며, TOC를 제외한 탁도, BOD₅, SS, T-N, T-P의 경우 서로 0.6 이상의 상관성을 갖는 것으로 나타났다. TOC의 경우 BOD₅, SS와 0.6 이상의 상관성을 갖는 반면 탁도, T-N, T-P와는 0.45, 0.44, 0.57로 다른 항목에 비해 다소 낮은 상관성을 갖는 것으로 나타났다. 비강우시 T-N은 기저 유출에 의한 영향으로 높은 농도를 나타내 다른 항목에 비해 상관성이 낮은 것으로 나타났으며, 강우시에는 비점오염물질의 유입으로 인하여 모든 항목에서 비슷한 상관성을 보이는 것으로 나타났다. 본 연구 결과 탁도와 SS, T-P의 상관성이 비강우시 0.93, 강우시 0.78로 상당히 높은 것으로 나타나, 탁도를 측정하여 SS와 T-P로 환산하여 측정하는 방법에 대한 기초자료로 활용될 수 있을 것으로 판단된다. 그러나 연구 유역의 지형적 특성이 배제되었기 때문에 추후에 이를 반영한 연구가 필요할 것으로 판단된다.

• Journal of Korean Tunnelling and Underground Space Association
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• v.11 no.4
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• pp.395-401
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• 2009

One of the key design factors for the ventilation and safety system at extra long tunnel is the airflow velocity induced by the natural ventilation force. Despite of the importance, it has not been widely studied due to the complicated influencing variables and the relationship among them is difficult to quantify. At this moment none of the countries in the world defines its specific value on verified ground. It is also the case in Korea. The recent worldwide disasters by tunnel fires and demands for better air quality inside tunnel by users require the optimization of the tunnel ventilation system. This indicates why the natural ventilation force is necessary to be thoroughly studied. This paper aims at predicting the natural ventilation force at a 11 km-long tunnel which is in the stage of detailed design and will be the longest vehicle tunnel in Korea. The concept of barometric barrier which can provide the maximum possible natural ventilation force generated by the topographic effect on the external wind is applied to estimate the effect of wind pressure and the chimney effect caused by the in and outside temperature difference is also analyzed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.3B
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• pp.305-313
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• 2010

River restoration or rehabilitation should be conducted in a way to maximize the channel stability with natural river configuration close to the equilibrium condition considering divers aspects of fluvial hydraulics, erosion and sedimentation, fluvial geomorphology, and ecological environment and to minimize the maintenance work. Therefore, the channel stability evaluation for present condition based on the equilibrium channel concept should be preceded for the river restoration project. Methods for equilibrium channel theory have generally been developed following either analytical regime theory or empirical regime theory. The main purpose of this paper is to evaluate the stability of present channel condition for the section of abandoned channel restoration in Cheongmi Stream using the Stable channel Analytical Model (SAM) and equilibrium hydraulic geometry equations. The results of analytical and empirical regime theories should provide fundamental and essential information to design the stable channel geometry. As a calculation result of Copeland's method for the study reach, the equilibrium channel has a narrower channel width, deeper water depth, and more gentle slope than the present channel geometry. As results of equilibrium hydraulic geometry equations, predicted equilibrium widths are less than the channel width in the field. It is represented that the current bed slope must be gentle to reach the equilibrium condition according to the results of Julien and Wargadalam method.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.269-269
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• 2022

최근 낙동강 하구 기수생태 복원에 있어서 중요한 요소 중 하나는 하굿둑 외해측의 보다 높은 정도를 가지는 조석예보치 산정과 이를 통해 하굿둑 방류량과 해수 유입량을 추정하여 주변 환경 등을 예측할 수 있다. 기수생태 복원이 본격으로 논의가 진행 전인 2016년까지는 하구에서 수km 떨어진 기존 조위관측소(부산 및 가덕도)를 활용하여 하류수위를 예측하여 왔지만 조위 높이와 위상 차이로 인하여 활용이 용이하지 않다. 따라서, 낙동강 하굿둑 인접 외해역에서 조석 영향을 받는 수위관측치를 이용하여 조석조화분해를 통해 조위 예측을 보다 정밀하게 산정하는 것이 필요하다. 연구방법으로는 낙동강 하굿둑 외해역에서 관측된 2016년, 2017년 각각 1년간 10분간격으로 관측자료의 저장상태 및 이상자료 유무를 확인하고, 조석조화분해 프로그램인 TASK2000(Tidal Analysis Software Kit) Package를 이용하여 2016년, 2017년 낙동강 하굿둑 인접 외해역에서 관측된 조위자료를 각각 조석조화분해한 결과로 관측조위와 예측조위 비교하였고, 관측조위와 예측조위를 뺀 성분인 조석잔차성분을 구했다. 조화분해결과, 낙동강 하굿둑 외해역은 일반적인 연안역의 조석과는 달리 하천수의 유출, 배수갑문의 조작, 연안사주지형에 의한 조석변형 등 매우 복잡하고 불규칙적인 특성인 기상성분(기압, 바람 등)에 의한 교란을 고려한다면 예측정확도가 상당부분 확보되는 것으로 나타났다. 또한 장주기 성분과 비선형 조석성분의 크기를 비교해 볼 때 거의 편차가 없이 나타나 조석조화상수를 이용한 예보 가능성을 확인할 수 있었다. 조위검증은 2016년의 1년치의 조석자료를 이용하여 조화분해된 조화상수 63개를 이용하여 2017년의 조석 예보치를 산정하였으며, 이를 2017년의 낙동강 하굿둑 외해역의 조석관측치와 조석예측치를 1대 1 비교하는 방식으로 검증하였고, 이들의 상관관계를 파악하기 위하여 두 성분에 대하여 Regression Analysis를 수행하여 예측조위와 관측조위 사이에는 Pre=0.9535×Obs+0.396과 같은 관계식이 성립하는 것으로 분석되었다. 또한, 두 성분간의 상관도는 0.9535로 높게 나타났다. 조위예측 프로그램인 TASK2000 Package 중 MARIE를 이용한 조위예측 프로그램의 신뢰도가 매우 높은 것으로 판단되고, 해당년도 조위예측 시에는 가능하면 직전년도의 1년 조석관측자료를 조화분해하고 얻어진 조화상수를 이용하여 조위예측을 실시하면 보다 정확한 자료를 얻을 수 있다.

• Journal of Korea Water Resources Association
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• v.56 no.12
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• pp.939-953
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• 2023

Shallow water equations (SWE) serve as fundamental equations governing the movement of the water. Traditional numerical approaches for solving these equations generally face various challenges, such as sensitivity to mesh generation, and numerical oscillation, or become more computationally unstable around shock and discontinuities regions. In this study, we present a novel approach that leverages the power of physics-informed neural networks (PINNs) to approximate the solution of the SWE. PINNs integrate physical law directly into the neural network architecture, enabling the accurate approximation of solutions to the SWE. We provide a comprehensive methodology for formulating the SWE within the PINNs framework, encompassing network architecture, training strategy, and data generation techniques. Through the results obtained from experiments, we found that PINNs could be an accurate output solution of SWE when its results were compared with the analytical method. In addition, PINNs also present better performance over the Artificial Neural Network. This study highlights the transformative potential of PINNs in revolutionizing water resources research, offering a new paradigm for accurate and efficient solutions to the SVE.

• Journal of Korean Society of Disaster and Security
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• v.16 no.4
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• pp.9-18
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• 2023

Climate change affects the safety of river revetments, especially those associated with external flooding. Research on slope reinforcement has been actively conducted to enhance revetment safety. Recently, technologies for producing embankment blocks using recycled materials have been developed. However, it is essential to analyze the impact of block shapes on the flow characteristics of exclusion zones for revetment safety. Therefore, this study investigates the influence of revetment block shapes on the hydraulic characteristics of revetment surfaces through 3D numerical simulations. Three block shapes were proposed, and numerical analyses were performed by installing the blocks in an idealized river channel. FLOW-3D was used for the 3D numerical simulations, and the variations in maximum flow velocity, bed velocity beneath the revetment, and maximum shear stress were analyzed based on the shapes of the revetment blocks. The results indicate that for irregularly sized and spaced revetment blocks, such as the natural stone-type vegetation block (Block A), when connected to the revetment in an irregular manner, the changes in flow velocity in the revetment installation zone are more significant than those for Blocks B and C. It is anticipated that considering the topographical characteristics of rivers in the future will enable the design of revetment blocks with practical applicability in the field.

• Journal of Korean Society of Disaster and Security
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• v.17 no.1
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• pp.1-8
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• 2024

In Korea, mountainous areas cover 60% of the land, leading to increased factors such as concentrated heavy rainfall and typhoons, which can result in debris flow and landslide. Despite the high risk of disasters like landslides and debris flow, there has been a tendency in most regions to focus more on post-damage recovery rather than preventing damage. Therefore, in this study, precise topographic data was constructed by conducting on-site surveys and drone measurements in areas where debris flow actually occurred, to analyze the risk zones for such events. The numerical analysis program RAMMS model was utilized to perform debris flow analysis on the areas prone to debris flow, and the actual distribution of debris flow was compared and analyzed to evaluate the applicability of the model. As a result, the debris flow generation area calculated by the RAMMS model was found to be 18% larger than the actual area, and the travel distance was estimated to be 10% smaller. However, the simulated shape of debris flow generation and the path of movement calculated by the model closely resembled the actual data. In the future, we aim to conduct additional research, including model verification suitable for domestic conditions and the selection of areas for damage prediction through debris flow analysis in unmeasured watersheds.

• Journal of the Korean GEO-environmental Society
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• v.25 no.6
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• pp.19-24
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• 2024

Urban densification has necessitated the development of subterranean spaces such as subway networks and underground tunnels to facilitate the dispersal and movement of populations. Development of these underground spaces requires excavation from the ground surface, which can induce groundwater flow and potentially lead to ground subsidence and sinkholes, damaging structures. To mitigate these risks, it is essential to model groundwater flow prior to construction, analyze its characteristics, and predict potential groundwater discharge during excavation. In this study, we collected meteorological, topographical, and soil conditions data for the city of ○○, where tunnel construction was planned. Using the Visual MODFLOW program, we modeled the groundwater flow. Excavation sections were set as drainage points to monitor groundwater discharge during the excavation process, and the effectiveness of seepage control measures was assessed. The model was validated by comparing measured groundwater levels with those predicted by the model, yielding a coefficient of determination of 0.87. Our findings indicate that groundwater discharge is most significant at the beginning of the excavation. Additionally, the presence of seepage barriers was found to reduce groundwater discharge by approximately 59%.

• Journal of the Society of Disaster Information
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• v.20 no.1
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• pp.93-105
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• 2024

Purpose: This study aims to quantitatively determine the impact on nearby risidents by selecting the amount of chemicals emitted from the workplace among the substances subject to the chemical emission plan and predicting the concentration with the atmospheric diffusion program. Method: The selection of research materials considered half-life, toxicity, and the presence or absence of available monitoring station data. The areas discharged from the materials to be studied were selected as the areas to be studied, and four areas with floating populations were selected to evaluate health risks. Result: AERMOD was executed after conducting terrain and meteorological processing to obtain predicted concentrations. The health hazard assessment results indicated that only dichloromethane exceeded the threshold for children, while tetrachloroethylene and chloroform appeared at levels that cannot be ignored for both children and adults. Conclusion: Currently, in the domestic context, health hazard assessments are conducted based on the regulations outlined in the "Environmental Health Act" where if the hazard index exceeds a certain threshold, it is considered to pose a health risk. The anticipated expansion of the list of substances subject to the chemical discharge plan to 415 types by 2030 suggests the need for efficient management within workplaces. In instances where the hazard index surpasses the threshold in health hazard assessments, it is judged that effective chemical management can be achieved by prioritizing based on considerations of background concentration and predicted concentration through atmospheric dispersion modeling.

• Journal of Korea Water Resources Association
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• v.57 no.9
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• pp.615-626
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• 2024

To accurately and efficiently monitor soil moisture (SM) across South Korea, this study developed a SM estimation model that integrates the cloud computing platform Google Earth Engine (GEE) and Automated Machine Learning (AutoML). Various spatial information was utilized based on Terra MODIS (Moderate Resolution Imaging Spectroradiometer) and the global precipitation observation satellite GPM (Global Precipitation Measurement) to test optimal input data combinations. The results indicated that GPM-based accumulated dry-days, 5-day antecedent average precipitation, NDVI (Normalized Difference Vegetation Index), the sum of LST (Land Surface Temperature) acquired during nighttime and daytime, soil properties (sand and clay content, bulk density), terrain data (elevation and slope), and seasonal classification had high feature importance. After setting the objective function (Determination of coefficient, R² ; Root Mean Square Error, RMSE; Mean Absolute Percent Error, MAPE) using AutoML for the combination of the aforementioned data, a comparative evaluation of machine learning techniques was conducted. The results revealed that tree-based models exhibited high performance, with Random Forest demonstrating the best performance (R² : 0.72, RMSE: 2.70 vol%, MAPE: 0.14).