국내 콘크리트 구조물의 노후화가 진행됨에 따라 안전관리를 위한 효과적인 보수 및 보강이 요구되고 있다. 특히, 교량 바닥판은 교통하중과 염화물 침투 등 다양한 유해환경에 직접 노출되어 지속적인 열화가 발생하고 있다. 국내외에서는 교량 바닥판 유지보수 의사결정을 위해 비파괴 조사 방법 중 하나인 지표투과레이더(Ground Penetrating Radar, GPR) 탐사가 주로 활용되고 있다. 차량형 다채널 GPR 장비를 통해 취득된 방대한 양의 탐사자료는 해석하는 데 많은 시간이 소요되며 분석가의 주관이나 숙련도에 따라 해석결과가 달라질 수 있다. 이러한 문제를 해결하기 위해 최근에는 딥러닝 (Deep Learning) 기반의 GPR 자료해석 기법들이 제안되고 있다. 본 연구에서는 교량 바닥판 상태 평가 작업 효율 향상 을 위해 딥러닝 기반 GPR 자료해석 기법을 적용하였다. 현장자료 예제로는 영동대교 정밀안전진단 과업에서 교량 바닥 판 상태조사를 위해 취득한 GPR 자료를 사용하였으며 딥러닝 기법 적용 결과를 분석가의 해석결과와 비교하여 예측 성 능을 평가하였다.

Seismic fragility curves present the conditional probability of damage to target structures due to external seismic load and are widely used in various ways. When constructing such a seismic fragility curve, it is essential to consider various types and numbers of ground motions. In general, the earthquake occurrence characteristics of an area where the target structure of the seismic fragility curve exists are analyzed, and based on this, appropriate ground motions are selected to derive the seismic fragility curve. If the number of selected ground motions is large, the diversity of ground motions is considered, but a large amount of computational time is required. Conversely, if the number of ground motions is too small, the diversity of ground motions cannot be considered, which may distort the seismic fragility curve. Therefore, this study analyzed the relationship between the number of ground motions considered when deriving the seismic fragility curve and the parameters of the seismic fragility curve. Using two example structures, numerical analysis was performed by selecting a random number of ground motions from a total of two hundred, and a seismic fragility curve was derived based on the results. Analysis of the relationship of the parameter of the seismic fragility curve and the number of selected ground motions was performed. As the number of ground motions considered increases, uncertainty in ground motion selection decreases, and when deriving seismic fragility curves considering the same number of ground motions, uncertainty increases relatively as the degree of freedom of the target structure increases. However, considering a relatively large number of ground motions, uncertainty appeared insignificant regardless of increased degrees of freedom. Finally, it is possible that the increase in the number of ground motions could lower the epistemic uncertainty and thus improve the reliability of the results.

The damage to structures during an earthquake can be varied depending on the frequency characteristics of seismic waves and the geological properties of the ground. Therefore, considering such attributes in the design ground motions is crucial. The Korean seismic design standard (KDS 17 10 00) provides design response spectra for various ground classifications. If required for time-domain analysis, ground motion time series can be either selected and adjusted from motions recorded at rock sites in intraplate regions or artificially synthesized. Ground motion time series at soil sites should be obtained from site response analysis. However, in practice, selecting suitable ground motion records is challenging due to the overall lack of large earthquakes in intraplate regions, and artificially synthesized time series often leads to unrealistic responses of structures. As an alternative approach, this study provides a case study of generating ground motion time series based on the hybrid broadband ground motion simulation of selected scenario earthquakes at sites in the Nakdonggang delta region. This research is significant as it provides a novel method for generating ground motion time series that can be used in seismic design and response analysis. For large-magnitude earthquake scenarios close to the epicenter, the simulated response spectra surpassed the 1000-year design response spectra in some specific frequency ranges. Subsequently, the acceleration time series at each location were used as input motions to perform nonlinear 1D site response analysis through the PySeismoSoil Package to account for the site response characteristics at each location. The results of the study revealed a tendency to amplify ground motion in the mid to long-period range in most places within the study area. Additionally, significant amplification in the short-period range was observed in some locations characterized by a thin soil layer and relatively high shear wave velocity soil near the upper bedrock.

To analyse the relationship between above-ground carbon stocks, species diversity and broadleaved forests structural diversity of South Korean forests, we collected vegetation inventories from environmental impact assessment projects over the past 10 years. The available data were selected and organised including tree species, DBH and area each projects. The data was classified by forest type, aboveground carbon stocks were calculated and compared, and the correlation between aboveground carbon stocks and biodiversity and structural diversity was analysed. The results showed that above-ground carbon stocks were higher in mixed forests and broadleaved forests and lower in needleleaved forests, similar to previous studies. However aboveground carbon stocks of mixed forests were higher in natural forests than in plantations. Aboveground carbon stocks in broadleaved forests were higher in plantations than natural forests, and there was no statistical different of between natural and plantations in needleleaved forest. This could be the result of a variety influences including biological and environmental factors in the study area, and further research is needed to analyse the effects on carbon sequestration. Correlation analysis showed no correlation between biodiversity and above-ground carbon stocks, but a positive correlation between structural diversity and above-ground carbon stocks. This indicates that above-ground carbon stocks in forests are associated with unevenness diameters and the proportion and evenness of tree species by diameter. In addition, it has been analysed that the high succession stages in forest have higher species diversity and structural diversity, and greater efficiency in the utilization of resources required for plant growth, leading to increased plant productivity and storage. Considering that the study sites were young forests with an average DBH of 14.8~23.7 cm, it is expected that carbon stocks will increase as biodiversity and structural diversity increase. Further research is needed to develop techniques to quantitatively assess the relationship of diversity to carbon stocks for policy use in assessing and increasing carbon stocks in forests.

Black ice, a thin and nearly invisible ice layer on roads and pavements, poses a significant danger to drivers and pedestrians during winter due to its transparency. We propose an efficient black ice detection system and technique utilizing Global Positioning System (GPS)-reflected signals. This system consists of a GPS antenna and receiver configured to measure the power of GPS L1 band signal strength. The GPS receiver system was designed to measure the signal power of the Right-Handed Circular Polarization (RHCP) and Left-Handed Circular Polarization (LHCP) from direct and reflected signals using two GPS antennas. Field experiments for GPS LHCP and RHCP reflection measurements were conducted at two distinct sites. We present a Normalized Polarized Reflection Index (NPRI) as a methodological approach for determining the presence of black ice on road surfaces. The field experiments at both sites successfully detected black ice on asphalt roads, indicated by NPRI values greater than 0.1 for elevation angles between 45o and 55o. Our findings demonstrate the potential of the proposed GPS-based system as a cost-effective and scalable solution for large-scale black ice detection, significantly enhancing road safety in cold climates. The scientific significance of this study lies in its novel application of GPS reflection signals for environmental monitoring, offering a new approach that can be integrated into existing GPS infrastructure to detect widespread black ice in real-time.

This study proposes a soil moisture retrieval method from ground reflection signals received by Global Positioning System (GPS) antenna modules consisting of an up-looking (UP) right-hand circular polarization (RHCP) and two down-looking (DW) RHCP and left-hand circular polarization (LHCP) signals. Field experiments at four different surface types (asphalt, grassland, dry soil, and moist soil) revealed that the DW RHCP and LHCP signals are affected by antenna height and multipath interference signals. The strength differences between the DW LHCP and UP RHCP signals were in good agreement with the DW LHCP signals. Methodologically, this study applied a spectrum analysis to the detrended surface-reflected signals for RHCP and LHCP. The study indicated that the down-looking antenna exhibited greater sensitivity to reflected GPS signals than the up-looking antenna. We demonstrated the feasibility of estimating soil moisture using GPS signals, by comparing LHCP signals received by the down-looking antenna with theoretical values. This study presents a novel method for estimating soil moisture in vegetated areas, leveraging the advantage of crosspolarization comparisons to achieve stronger signal strength than single-polarization reflection signals. With further research, including long-term observations and detailed analysis, the proposed method has the potential to enhance performance significantly.

Accurate seismic vulnerability assessment requires high quality and large amounts of ground motion data. Ground motion data generated from time series contains not only the seismic waves but also the background noise. Therefore, it is crucial to determine the high-pass cut-off frequency to reduce the background noise. Traditional methods for determining the high-pass filter frequency are based on human inspection, such as comparing the noise and the signal Fourier Amplitude Spectrum (FAS), f2 trend line fitting, and inspection of the displacement curve after filtering. However, these methods are subject to human error and unsuitable for automating the process. This study used a deep learning approach to determine the high-pass filter frequency. We used the Mel-spectrogram for feature extraction and mixup technique to overcome the lack of data. We selected convolutional neural network (CNN) models such as ResNet, DenseNet, and EfficientNet for transfer learning. Additionally, we chose ViT and DeiT for transformer-based models. The results showed that ResNet had the highest performance with R2 (the coefficient of determination) at 0.977 and the lowest mean absolute error (MAE) and RMSE (root mean square error) at 0.006 and 0.074, respectively. When applied to a seismic event and compared to the traditional methods, the determination of the high-pass filter frequency through the deep learning method showed a difference of 0.1 Hz, which demonstrates that it can be used as a replacement for traditional methods. We anticipate that this study will pave the way for automating ground motion processing, which could be applied to the system to handle large amounts of data efficiently.

정원치유 확산과 원예치료에 관한 관심이 높아짐에 따라 원예치료프로그램에 이용되고 있는 식물소 재인 지피초화류의 이용과 재배현황을 파악하였다. 지피초화류의 원예치료프로그램 이용품목을 정 리하고 이용전문가와 재배농가의 의견을 반영한 결과를 도출하였다. 이를 바탕으로 지피초화류의 치 유프로그램에 이용품목을 계절별로 분류 체계화하고 공급과 이용에 유의미한 기초자료를 제공하고자 하는 것이 본 연구의 목적이다. 원예치료전문가 대상으로 지피초화류의 치유프로그램 이용 관련 설문 지를 배포 130부 회수하였고 재배농가 대상으로 지피초화류의 재배품목 관련 설문지를 배포하여 20부 를 회수하여 이용과 재배품목 현황, 추천식물, 이용과 재배의향을 빈도분석과 비교분석을 실시하여 연 구결과를 도출하였다. 연구결과 원예치료전문가들은 다양한 종류의 지피초화류를 이용하고 있었으 며, 최근 들어서는 주로 꽃꽂이 용도로 이용하고 있는 절화류나 그라스류를 이용하기 시작한 것으로 나타났다. 추천식물로 이용자·재배자 모두 허브를 1순위로 추천하였다. 또한 원예치료전문가와 재배 농가의 이용과 재배의향은 동일한 의향을 보이는 지피초화류도 있었지만 상이한 의향을 보이는 지피 초화류도 있는 것으로 파악되어 이용자·재배자간의 관심도와 이용도에 차이점도 분명히 나타나고 있 었다. 따라서 지피초화류의 치유프로그램 적용 시에는 원예치료전문가에게 식물 선택의 용이성을 제 공하고 원예치료전문가와 재배농가의 정보교류를 통한 소비와 공급의 상호 불일치 품목에 대해 보완 해 나갈 수 있는 좋은 기초자료를 제공할 수 있는 연구결과를 도출한 것이 본 연구의 성과라 할 수 있다.

The cultural heritage of fortresses is often exposed to external elements, leading to significant damage from stone weathering and natural disasters. However, due to the nature of cultural heritage, dismantling and restoration are often impractical. Therefore, the stability of fortress cultural heritage was evaluated through non-destructive testing. The durability of masonry cultural heritages is greatly influenced by the physical characteristics of the back-fille material. Dynamic characteristics were assessed, and endoscopy was used to inspect internal fillings. Additionally, a finite element analysis model was developed considering the surrounding ground through elastic wave exploration. The analysis showed that the loss of internal fillings in the target cultural heritage site could lead to further deformation in the future, emphasizing the need for careful observation.

Recent earthquakes in Korea, like Gyeongju and Pohang, have highlighted the need for accurate seismic hazard assessment. The lack of substantial ground motion data necessitates stochastic simulation methods, traditionally used with a simplistic point-source assumption. However, as earthquake magnitude increases, the influence of finite faults grows, demanding the adoption of finite faults in simulations for accurate ground motion estimates. We analyzed variations in simulated ground motions with and without the finite fault method for earthquakes with magnitude (Mw) ranging from 5.0 to 7.0, comparing pseudo-spectral acceleration. We also studied how slip distribution and hypocenter location affect simulations for a virtual earthquake that mimics the Gyeongju earthquake with Mw 5.4. Our findings reveal that finite fault effects become significant at magnitudes above Mw 5.8, particularly at high frequencies. Notably, near the hypocenter, the virtual earthquake’s ground motion significantly changes using a finite fault model, especially with heterogeneous slip distribution. Therefore, applying finite fault models is crucial for simulating ground motions of large earthquakes (Mw ≥ 5.8 magnitude). Moreover, for accurate simulations of actual earthquakes with complex rupture processes having strong localized slips, incorporating finite faults is essential even for more minor earthquakes.

일반적으로 속도 펄스를 가진 지반운동이 속도 펄스가 없는 지반운동에 비하여 구조물에 보다 큰 손상을 줄 수 있다고 알려져 있다. 지진가속도기록으로부터 속도 펄스의 유무의 판정과 이를 정량화하는 연구가 현재 많이 진행되어 오고 있다. 기존 지진기록들을 단 층으로 떨어진 거리를 기준으로 원거리 지진과 근거리 지진으로 구분하였다. 또한, 근거리 지진은 속도 펄스의 유무를 정량화하여 펄 스를 가진 지진과 펄스를 가지지 않은 지진으로 구분하였다. 최종적으로 각 지진그룹별로 40개의 원거리지진, 40개의 속도 펄스를 가 진 근거리 지진과 40개의 속도 펄스를 가지지 않은 근거리 지진을 선정하였으며, 총 120개 지진가속도 기록을 지진취약도 평가를 위 한 지진해석에 사용하였다. 세 그룹의 지진을 이용하여 납-고무받침과 탄성받침을 가진 두 종류의 예제교량에 대한 지진응답을 평가 하여 확률론적 지진요구도 모델을 작성하였다. 확률론적 지진요구도 모델을 이용하여 지진취약도 해석을 수행하여 속도 펄스의 유무 에 따른 지진취약도 영향을 분석하였다. 지진파의 속도 펄스 유무에 따른 지진취약도 곡선의 비교 결과로부터, 속도 펄스를 가진 지진 의 지진취약도가 속도 펄스가 없는 지진의 지진취약도가 약 3배~5배 정도 정도 크게 나타난다. 이는 속도 펄스를 가진 지진의 경우가 그렇지 않은 지진의 경우에 비하여 교량의 손상 피해가 크다는 것을 의미한다.

The towing distance, which is speed over the ground, and the water flow quantity, which is speed through the water, were used when estimating the amount of Metapenaeus joyneri resources that rose to the surface at night using the swept area method in order to compare and analyze the difference. It was conducted using a shrimp dredge, trial fishing gear for catching Metapenaeus joyneri. Catch during the entire survey period was 188.9 kg. Monthly catch ranged from 3.1 to 109.2 kg, highest in June and lowest in September. The swept volume calculated using the speed over the ground was about 13% higher than using the speed through the water. Metapenaeus joyneri resources estimated using the towing distance ranged from 320.1 to 14,649.8 kg. Resources estimated using the water flow quantity ranged from 278.5 to 12,886.3 kg. Therefore, the amount of Metapenaeus joyneri resources estimated using the speed over the ground was about 14% higher than the method using the speed through the water, indicating that the amount of resources was overestimated.

In the case of the Pohang earthquake, which had a magnitude of 5.4 in 2017, geotechnical damages such as liquefaction and ground settlement occurred. The need for countermeasures has emerged, and experimental research in the Pohang area has continued. This study collected undisturbed samples from damaged fine-grained soil areas where ground settlement occurred in Pohang. Cyclic tri-axial tests for identifying the dynamic characteristics of soils were performed on the undisturbed samples, and the results were analyzed to determine the cause of ground settlement. As a result of the study, it was determined that in the case of fine-grained soils, ground settlement occurred because the seismic load as an external force was relatively more significant than the shear resistance of the very soft fine-grained soils, rather than due to an increase in excess pore water pressure.

지진취약도를 산정하기 위해서는 목표 부지의 특성을 제대로 표현할 수 있는 입력 지진파의 산정이 중요하다. 본 논문에서는 국내 외 강진 및 중‧약진 지역에서의 입력 지진파에 대한 단자유도 모델의 지진취약도를 분석하였다. 분석을 위한 첫 번째 단계로, 국외 강 진 기록 중 근/원거리에서 측정한 2개의 입력 지진파 세트와 국내 중·약진 지역 특성에 적합한 입력 지진파 2개의 세트, 총 4개의 입력 지진파 세트를 선정하였다. 대상 구조물로는 3가지 고유주기에 대한 비선형 단자유도 모델을 적용하였고, 취약도 분석을 위해 증분동 적해석을 이용하였다. 또한, 4가지 손상 상태를 정의하고, 손상 상태 각각에 대해 4가지 입력 지진파 세트의 고유주기별 지진취약도 결과를 제시하였다.

본 연구는 관수조건에 따른 지피식물의 생육특성을 파악하고 수분 스트레스 후 생육 회복력을 평가하 기 위하여 수행되었다. 지피식물로 많이 사용되는 초본류 4종을 대상으로 피복의 목적을 달성할 수 있 는 적정 식재간격을 도출하였으며, 또한 관수처리 유형에 따른 생육 및 피복률의 변화를 분석하였다. 식물마다 피복효과를 달성하기 위한 적정 식재간격에 차이가 있었다. 돌단풍은 30～35cm, 송엽국은 30～40cm간격, 꽃잔디는 40cm이상, 돌나물은 20cm미만의 식재간격이 효과적이다. 관수처리에 따른 생육특성을 분석한 결과 관수가 지속적으로 이루어지면 초장이 길지만 처리기간 동안 생육의 변화는 거의 없었다. 피복률은 관수처리와 식물에 따라 차이가 있다. 송엽국과 돌단풍은 무관수 20일 후 관수가 이루어지면 피복률도 회복되었으며, 꽃잔디는 관수가 이루어지고 나서 시간이 경과된 후에 피복률을 회복하였다. 피복이 전체적으로 이루어진 이후에는 토양 수분부족에 의한 피복률의 변화가 거의 없었 으나 피복 초기에 수분이 공급되지 않으면 피복에 어려움이 있다. 꽃잔디, 송엽국, 돌단풍은 일정기간 무관수가 지속되더라도 다시 관수가 이루어지면 회복이 될 수 있다. 즉 식물관리에 있어서 종 마다 차이 는 있으나 관수관리가 중요하며, 일정기간 무관수 후 관수가 이루어지면 생육이 회복될 수 있다.

We analyzed comparatively the ground beetle communities of 1993 and 2023, with 30 year interval, in broadleaf and coniferous stands of the Gwangneung forest, a biosphere reserve in South Korea. 2,906 individuals (53 species, 38 genera, and 15 families) were collected from broadleaf stands and 1,782 individuals (36 species, 32 genera, and 14 families) from coniferous stands in 1993. The dominant species was Synuchus cycloderus in both stands. In 2023, 1,682 individuals (110 species, 78 genera, 21 families) were collected from broadleaf stands and 990 individuals (92 species, 67 genera, 22 families) from coniferous stands. In 2023, the dominant species were Eucarabus (Parhomopterus) sternbergi sternbergi in broadleaf stands and Coptolabrus jankowskii jankowskii in coniferous stands. Species richness (R'), species evenness (E'), species diversity (H'), and dominance (DI) were all higher than in broadleaf (R'=15.472, E'=0.336, H'=1.601, and DI=0.371) and coniferous (R'=13.756, E'=0.369, H'=1.324, and DI=0.326) forests in 2023.

Beetles are one of the most effective transportation for phoretic chelicerata. They use various methods to attach themselves to their hosts, such as developing ventral sucker plates, grasping with their claws and chelicerae, or hiding beneath the elytra. Recently, we discovered new species of two genera: Antennoseius (Mesostigmata: Blattisociidae) and Gaeolaelaps (Mesostigmata: Laelapidae) which are hiding under the elytra of Carabidae hosts. In this study, digital images of the beetles, and mites, along with brief diagnostic information and line-drawing plates will be provided.

This study proposes a methodology for assessing seismic liquefaction hazard by implementing high-resolution three-dimensional (3D) ground models with high-density/high-precision site investigation data acquired in an area of interest, which would be linked to geotechnical numerical analysis tools. It is possible to estimate the vulnerability of earthquake-induced geotechnical phenomena (ground motion amplification, liquefaction, landslide, etc.) and their triggering complex disasters across an area for urban development with several stages of high-density datasets. In this study, the spatial-ground models for city development were built with a 3D high-precision grid of 5 m x 5 m x 1 m by applying geostatistic methods. Finally, after comparing each prediction error, the geotechnical model from the Gaussian sequential simulation is selected to assess earthquake-induced geotechnical hazards. In particular, with seven independent input earthquake motions, liquefaction analysis with finite element analyses and hazard mappings with LPI and LSN are performed reliably based on the spatial geotechnical models in the study area. Furthermore, various phenomena and parameters, including settlement in the city planning area, are assessed in terms of geotechnical vulnerability also based on the high-resolution spatial-ground modeling. This case study on the high-precision 3D ground model-based zonations in the area of interest verifies the usefulness in assessing spatially earthquake-induced hazards and geotechnical vulnerability and their decision-making support.

This research introduced a command-filtered backstepping control of mirror system to maintain laser communication between satellite and ground station. This requires a 2 degree of freedom gimbal mirror system using DC motors for target acquisition, pointing, and tracking (APT) system. This APT system is used for laser communication between satellite and ground stations. To track these desired angles, we have to control DC motors using introduced command-filtered backstepping controller (CFBSC) with disturbance. Command filtered backstepping controller has second order filter instead differentiation for simple and fast calculation. Introduced command-filtered backstepping control gives a smooth control signal for intermediate states. Simulation results verify that CFBSC outperforms SMC in terms of tracking error and disturbance rejection.