• Magazine of RCR
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• v.10 no.2
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• pp.53-57
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• 2015

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.1
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• pp.9-15
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• 2018

Precise regional geoid heights on and around Mount Jiri were calculated and were compared to the KNGeoid14 (Korean National Geoid 2014) model. In this study, gravimetric geoid heights were calculated by using RCR (Remove-Compute-Restore) technique and then hybrid geoid heights were calculated by using the LSC (Least Square Collocation) method in the same area. In addition, gravity observation and GNSS(Global Navigation Satellite System) surveying performed in this study were utilized to determine gravimetric geoid heights and to compute hybrid geoid heights, respectively. The results of the study show that the post-fit error (mean and standard deviation) of hybrid geoid heights was evaluated as $0.057{\pm}0.020m$, while the mean and standard deviation of the differences were -0.078 and 0.085 m, respectively for KNGeoid14. Therefore, hybrid geoid heights in this study show more considerable progress than KNGeoid14.

• Magazine of RCR
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• v.8 no.1
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• pp.15-20
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• 2013

• Magazine of RCR
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• v.15 no.2
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• pp.31-34
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• 2020

• Magazine of RCR
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• v.5 no.2
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• pp.42-49
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• 2010

• Magazine of RCR
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• v.5 no.1
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• pp.54-59
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• 2010

• Magazine of RCR
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• v.19 no.1
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• pp.57-60
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• 2024

• Tunnel and Underground Space
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• v.13 no.4
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• pp.279-286
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• 2003

Many trials to set up the correlation between the rock mass classification and the earth resistivity have been carried out to design tunnel support type based on the interpreted electrical resistivity acquired by surface electrical survey. But it is hard to find reports on the comparison of the real rock support type determined during the excavation with the electrical resistivity by the inversion of the survey data acquired before the tunneling. In this study, the rock mass classification based on the face mapping data and the resistivity inversion data are investigated to see if it is possible to design reliably the rock support type based on the surface electrical survey. To get the quantitative correlation, rock engineering indices such as RCR(rock condition rating), N(Rock mass number), Q-system and RMR(rock mass rating) are calculated. Since resistivity data has low resolution, Kriging method as a post processing technique which minimizes the estimated variance is used to improve resolution. The result of correlation analysis shows that the 2D electrical resistivity survey is appropriate to see the general trend of the geology in the sense of rock type, though there might be some local area where these two factors do not coincide. But the correlation between the result of 3D survey and the rock mass classification turns out to be very high, and then 3D electrical resistivity survey can make it possible to set up more reliable rock support type.

• Proceedings of the Korean Geotechical Society Conference
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• 2003.03a
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• pp.265-272
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• 2003

In this study, the rock mass classification results from the face mapping and the resistivity inversion data are compared and analyzed for the reliability investigation of the determination of the rock support type based on the surface electrical survey. To get the quantitative correlation, rock engineering indices such as RCR(rock condition rating), N(Rock mass number), Q-system based on RMR(rock mass rating) are calculated. Kriging method as a post processing technique for global optimization is used to improve its resolution. The result of correlation analysis shows that the geological condition estimated from 2D electrical resistivity survey is coincident globally with the trend of rock type except for a few local areas. The correlation between the results of 3D electrical resistivity survey and the rock mass classification turns out to be very high. It can be concluded that 3D electrical resistivity survey is powerful to set up the reliable rock support type.

• Korean Journal Plant Pathology
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• v.13 no.4
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• pp.205-209
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• 1997

Potato spindle tuber viroid(PSTVd) RNAs were isolated from PSTVd-inoculated potato cv. Superioc and carried out RT-RCR with reverse transcriptase and PSTVd specifie primer pair desigened to amplify the 356 nucleotides of PSTVd genome. As a result, 356 nucleotides PCR products were amplified from PSTVd-inoculated potato cv. Superior. The 356 nucleotides DNA fragment was indeed the PSTVd geneby sequencing analysis. PSTVd could be successfully detected from infected leaf and tuber tissue of potato by using RT-PCR technique. Especially PSTVd was more effectively detected when both downstream and upstream primer were used than only downstream primer was used in RT reaction.