• Title/Summary/Keyword: 모니터링 탐사

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The structural safety diagnosis of Dabo Pagoda of Bulkuk Temple using analyses of ultrasonic wave velocity (초음파 속도 분석을 통한 불국사 다보탑 구조 안전 진단)

  • Suh, Man-Cheol;Song, In-Sun;Choi, Hui-Soo
    • Journal of the Korean Geophysical Society
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    • v.5 no.3
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    • pp.199-209
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    • 2002
  • We have carried out a nondestructive close examination for the purpose of the structural safety diagnosis of the Dabo Pagoda of Bulkuk temple located in Kyungju, Kyungbuk Korea. For estimating the mechanical properties of each rock block of the pagoda, ultrasonic measurements were conducted at 641 points of 255 blocks. The P-wave velocity ranges from 584m/sec through 5,169m/sec, and averages 2,901m/sec Based on this result, the uniaxial compressive strength was estimated to be $93{\sim}1,943kg/cm^2\;with\;396kg/cm^2$ of average, and the index of weathering is $0.07{\sim}0.88$ with 0.43 of average, which means the moderate degree of weathering. The comparison of the rock strength of each block with the overburden acting on the block reveals that the rock blocks related to the structure of the pagoda are relatively sound for uniform stress, but it is highly possible for a concentrated stress to lead to a partial failure. We suggest a monitoring of cracks due to the concentrated stress. The parapets of 1st and 2nd floors composed of small rock pieces are severely weathered. However, this is not directly related to the structural safety of the pagoda.

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Potential Hazard Classification of Aged Cored Fill Dams (노후 코어형 필댐의 잠재 위해성 유형 분류)

  • Park, DongSoon;Oh, Je-Heon
    • The Journal of Engineering Geology
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    • v.26 no.2
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    • pp.207-221
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    • 2016
  • As greater numbers of fill dams and reservoirs become old, the risks of damage or embankment collapse increases. However, few studies have considered the deterioration and hazard classification of the internal core layers of fill dams. This study reports the results of geotechnical investigations of 13 earth-cored fill dams in Korea, based on no-water borehole drilling, Standard Penetration Test, and 2D and 3D electrical resistivity surveys along with in situ and laboratory testing. High-capacity no-water boring minimized core layer disturbance while providing continuous core sample recovery. The results allow the classification of potential hazards related to the existing core layers based on both visual inspection of the recovered samples and the results of engineering surveys and tests. Four types of potential hazard are classified: locally fluidized core with a high water content, rapid water inflow to a borehole, cores with granular materials, and relatively low stiffness of core. Among these, the locally fluidized core is the most critical hazard that requires remedial action because it is related to the potential internal flow path and internal erosion. The other three hazard types are of medium importance and require careful monitoring and regular inspection. Of note, there was no correlation between age and core deterioration. The results are expected to aid the safe management and potential upgrading of aging cored fill dams.

COVID-19's Impact on the Space Industry and Countermeasures in Korea (코로나19가 한국 우주산업에 미친 영향과 대응방안)

  • Kim, Jong-Bum
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.195-201
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    • 2020
  • COVID-19 is hitting the world. In order to bring about new ways of innovation in the space sector, we need to analyze changes in the space sector and design new challenge strategies. COVID-19 exposes inherent vulnerabilities in the space sector. In particular, COVID-19 is causing supply chain shocks in the space industry, resulting in delays in the supply of systems, subsystems and parts due to a complete or partial interruption of a manufacturing unit. As the overall impact of New Normal on the industry is overall, we continue to look at it in the space sector. COVID is causing supply chain shock in the space industry. It causes a delay in the supply of systems, subsystems and parts due to a complete or partial interruption of a manufacturing unit. In the supply of launch services, the launch schedule is being delayed, but the main launch is still taking place. Demand for major applications such as environmental monitoring is soaring in the earth observation utilization sector. Analyzing the impact on manufacturing, the vendor-based contraction is bringing delays in the supply of systems, subsystems and components, and launch service providers are trying to minimize delays in the launch schedule.

A Study on Object Based Image Analysis Methods for Land Use and Land Cover Classification in Agricultural Areas (변화지역 탐지를 위한 시계열 KOMPSAT-2 다중분광 영상의 MAD 기반 상대복사 보정에 관한 연구)

  • Yeon, Jong-Min;Kim, Hyun-Ok;Yoon, Bo-Yeol
    • Journal of the Korean Association of Geographic Information Studies
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    • v.15 no.3
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    • pp.66-80
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    • 2012
  • It is necessary to normalize spectral image values derived from multi-temporal satellite data to a common scale in order to apply remote sensing methods for change detection, disaster mapping, crop monitoring and etc. There are two main approaches: absolute radiometric normalization and relative radiometric normalization. This study focuses on the multi-temporal satellite image processing by the use of relative radiometric normalization. Three scenes of KOMPSAT-2 imagery were processed using the Multivariate Alteration Detection(MAD) method, which has a particular advantage of selecting PIFs(Pseudo Invariant Features) automatically by canonical correlation analysis. The scenes were then applied to detect disaster areas over Sendai, Japan, which was hit by a tsunami on 11 March 2011. The case study showed that the automatic extraction of changed areas after the tsunami using relatively normalized satellite data via the MAD method was done within a high accuracy level. In addition, the relative normalization of multi-temporal satellite imagery produced better results to rapidly map disaster-affected areas with an increased confidence level.

Estimation of Groundwater Flow Rate into Jikri Tunnel Using Groundwater Fluctuation Data and Modeling (지하수 변동자료와 모델링을 이용한 직리터널의 지하수 유출량 평가)

  • Lee, Jeong-Hwan;Hamm, Se-Yeong;Cheong, Jae-Yeol;Jeong, Jae-Hyeong;Kim, Nam-Hoon;Kim, Ki-Seok;Jeon, Hang-Tak
    • Journal of Soil and Groundwater Environment
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    • v.14 no.5
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    • pp.29-40
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    • 2009
  • In general, understanding groundwater flow in fractured bedrock is critical during tunnel and underground cavern construction. In that case, borehole data may be useful to examine groundwater flow properties of the fractured bedrock from pre-excavation until completion stages, yet sufficient borehole data is not often available to acquire. This study evaluated groundwater discharge rate into Jikri tunnel in Gyeonggi province using hydraulic parameters, groundwater level data in the later stage of tunneling, national groundwater monitoring network data, and electrical resistivity survey data. Groundwater flow rate into the tunnel by means of analytical method was estimated $7.12-74.4\;m^3/day/m$ while the groundwater flow rate was determined as $64.8\;m^3/day/m$ by means of numerical modeling. The estimated values provided by the numerical modeling may be more logical than those of the analytical method because the numerical modeling could take into account spatial variation of hydraulic parameters that was not possible by using the analytical method. Transient modeling for a period of one year from the tunnel completion resulted in the recovery of pre-excavation groundwater level.

자연전위의 효율적 측정을 위한 전극의 잡음요소 분석

  • Song, Seong-Ho;Gwon, Byeong-Du
    • Journal of the Korean Geophysical Society
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    • v.5 no.1
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    • pp.9-18
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    • 2002
  • We performed a long-term monitoring of self-potential(SP) using the Cu-CuSO₄non-polarizable electrode and copper-clad electrodes(CCE) in a test site in order to analyze the effects of surrounding environmental noises such as temperature, rainfall and soil moisture content on the electrodes. Analysis of the temperature dependence of the non-polarizable electrodes showed that is temperature coefficient was about +0.5 mV/°Fwhen its end was exposed to atmosphere while it was less than +0.5 mV/℃ when submerged into the subsurface, which reflects that there exists an 8 to 11 hour lag between temperatures at the depth of 15 cm and atmosphere. CCE was independent of atmospheric temperature in subsurface but showed temperature coefficient of 1.0 mV/℃ when exposed to atmosphere. Drifts of 1 to 2 mV recorded with the non-polarizable electrode directly related to the soil moisture content when it was buried in subsurface. Drift with CCE also showed similar trend to the soil moisture content, and 5 mV drift was recorded according to 5% of daily variation. The soil moisture content had strong effects on the measurement with CCE in rainfall since the flow potential is generated on the surface of the electrode.

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Conservation value assessment of newly discovered seven forest wetlands in the western part of the Korean Demilitarized Zone Ecoregion (서부 비무장지대 일원 미보고 산림습원의 특성 및 보전 가치 평가)

  • Kim, Jae Hyun;Park, Shinyeong;Lee, Myung Hwa;Rhee, Jiyeol;Kim, Yeong Jin;Hong, Young Chuel;Cheon, Jiyeon;Kim, Seung Ho;An, Jong-Bin
    • Journal of Wetlands Research
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    • v.24 no.4
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    • pp.268-287
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    • 2022
  • This study reports newly discovered seven forest wetlands in the western part of the Korean Demilitarized Zone-Civilian Control Zone ecoregion. The wetland assessment criteria proposed by National Arboretum were adopted to evaluate four fields: vegetation and landscape, biogeochemical cycle, hydraulics and hydrology, and social-cultural-historical landscape and disturbances. Among seven wetlands located in Gimpo and Paju, five were of the fallow field type and two were of the natural type. A total of 474 plant species were recorded, including nine rare plants, such as the Carex capricornis Meinsh. ex Maxim. Three forest wetlands were sorted into A-grade, three into B-grade, and one into C-grade. Monitoring forest wetlands scattered across the border area ruled by military regulations can be challenging; still, as forest wetlands with high conservation value turned out, further investigations through remote sensing and cooperation by the relevant agencies will be required.

Study on Detection for Cochlodinium polykrikoides Red Tide using the GOCI image and Machine Learning Technique (GOCI 영상과 기계학습 기법을 이용한 Cochlodinium polykrikoides 적조 탐지 기법 연구)

  • Unuzaya, Enkhjargal;Bak, Su-Ho;Hwang, Do-Hyun;Jeong, Min-Ji;Kim, Na-Kyeong;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.15 no.6
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    • pp.1089-1098
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    • 2020
  • In this study, we propose a method to detect red tide Cochlodinium Polykrikoide using by machine learning and geostationary marine satellite images. To learn the machine learning model, GOCI Level 2 data were used, and the red tide location data of the National Fisheries Research and Development Institute was used. The machine learning model used logistic regression model, decision tree model, and random forest model. As a result of the performance evaluation, compared to the traditional GOCI image-based red tide detection algorithm without machine learning (Son et al., 2012) (75%), it was confirmed that the accuracy was improved by about 13~22%p (88~98%). In addition, as a result of comparing and analyzing the detection performance between machine learning models, the random forest model (98%) showed the highest detection accuracy.It is believed that this machine learning-based red tide detection algorithm can be used to detect red tide early in the future and track and monitor its movement and spread.

A Study for Monitoring Soil Liquefaction Occurred by Earthquakes Using Soil Moisture Indices Derived from the Multi-temporal Landsat Satellite Imagery Acquired in Pohang, South Korea (다중시기 Landsat 위성영상으로부터 산출한 토양 수분 지수를 활용하여 지진 발생으로 인한 토양 액상화 모니터링에 관한 연구: 포항시를 사례로)

  • PARK, Insun;KIM, Kyoung-Seop;HAN, Byeong Cheol;CHOUNG, Yun-Jae;GU, Bon Yup;HAN, Jin Tae;KIM, Jongkwan
    • Journal of the Korean Association of Geographic Information Studies
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    • v.24 no.1
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    • pp.126-137
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    • 2021
  • Recently, the number of damages on social infrastructure has increased due to natural disasters and the frequency of earthquake events that are higher than magnitude 3 has increased in South Korea. Liquefaction was found near the epicenter of a 5.4 magnitude earthquake that occurred in Pohang, South Korea, in 2017. To explore increases in soil moisture index due to soil liquefaction, changes in the remote exploration index by the land cover before and post-earthquake occurrence were analyzed using liquefaction feasibility index and multi-cyclical Landsat-8 satellite images. We found that the soil moisture index(SMI) in the liquefaction region immediately after the earthquake event increased significantly using the Normal Vegetation Index(NDVI) and Surface Temperature(LST).

Comparative analysis of water surface spectral characteristics based on hyperspectral images for chlorophyll-a estimation in Namyang estuarine reservoir and Baekje weir (남양호와 백제보의 Chlorophyll-a 산정을 위한 초분광 영상기반 수체분광특성 비교 분석)

  • Jang, Wonjin;Kim, Jinuk;Kim, Jinhwi;Nam, Guisook;Kang, Euetae;Park, Yongeun;Kim, Seongjoon
    • Journal of Korea Water Resources Association
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    • v.56 no.2
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    • pp.91-101
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    • 2023
  • In this study, we estimated the concentration of chlorophyll-a (Chl-a) using hyperspectral water surface reflectance in an inland weir (Baekjae weir) and estuarine reservoir (Namyang Reservoir) for monitoring the occurrence of algae in freshwater in South Korea. The hyperspectral reflectance was measured by aircraft in Baekjae Weir (BJW) from 2016 to 2017, and a drone in Namyang Reservoir (NYR) from 2020 to 2021. The 30 reflectance bands (BJW: 400-530, 620-680, 710-730, 760-790 nm, NYR: 400-430, 655-680, 740-800 nm) that were highly related to Chl-a concentration were selected using permutation importance. Artificial neural network based Chl-a estimation model was developed using the selected reflectance in both water bodies. And the performance of the model was evaluated with the coefficient of determination (R2), the root mean square error (RMSE), and the mean absolute error (MAE). The performance evaluation results of the Chl-a estimation model for each watershed was R2: 0.63, 0.82, RMSE: 9.67, 6.99, and MAE: 11.25, 8.48, respectively. The developed Chl-a model of this study may be used as foundation tool for the optimal management of freshwater algal blooms in the future.