• Explosives and Blasting
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• v.20 no.1
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• pp.35-50
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• 2002

터널굴착이나 사면절취 등과 같은 굴착문제에 있어서 굴착방법을 결정하기 위해 대상암반에 대한 리핑암이나 발파암의 구분이 우선되며, 다음에 발파에 의한 굴착방법이 선정되었을지라도 화약량 및 종류, 천공방법 등 발파설계를 위해서 추가적으로 발파암에 대한 세부적인 분류가 필요하다. 일반적으로 RMR이나 Q시스템과 같은 암반분류법이 많이 사용되고 있지만, 발파암에 대한 표준적인 암반분류법이 없으며, 국내에서도 발파암 분류에 대한 연구가 거의 전무한 상태로 발파암의 분류요소로 사용될 수 있는 요소를 구하기 위한 연구가 필요하다. 따라서 이 논문에서는 앞으로 국내에서 발파암 분류연구에 대한 방향제시를 위해서 발파와 암석의 역학적 특성, 지질구조와 불연속면의 특성과의 관계나 굴착과 관련된 암반분류에 대한 여러 논문사례를 통하여 발파암의 분류요소와 분류방법 등에 대해 언급한다.

• Proceedings of the KSEEG Conference
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• 2005.04a
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• pp.292-293
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• 2005

• Economic and Environmental Geology
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• v.8 no.2
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• pp.63-71
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• 1975

A new rock name, rhodochrostone is proposed for the sedimentary rock from the Janggun Mine, Korea, which consist mainly of rhodochrosite. Systematic classification of rhodochrositic rocks was made for the rocks of rhodochrosite-calcite-quartz and rhodochrosite-quartz-clay, respectively. According to the writer's new scheme of classification, the manganese carbonate beds of the Janggun Mine, Korea consist mainly of rhodochrostone and siliceous rhodochrostone, with minor clayey siliceous rhodochrostone. The underlying and overlying carbonate rocks consist of high-manganiferous dolostone, moderate-manganiferous dolostone and low-manganiferous dolostone. The same scheme of classification is applicable to the similar manganiferous rocks in other countries. Mineralogical, petrological and chemical studies were made.

• Spatial Information Research
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• v.18 no.5
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• pp.55-61
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• 2010

This study was started for providing the application method of hyperspectral im age over extreme cold area as the Antarctic. Study area was Terra Nova Bay area which was decided as the candidate of 2nd Antarctic base station. For deciding last location of base station, many researchers tried to analyze the suitability of this study area. Among many suitability indicators, the location and stability of extracted bed rock area were very important. Using many spectral information of hyperspectral data, we tried detecting of bed rock and classifying four rock types. As additionally data, international spectral library of rock were used in this study. At the results, short-infrared wavelength bands were useful in the detection and classification of bed rock.

• Korean Journal of Environment and Ecology
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• v.21 no.1
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• pp.74-81
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• 2007

This study investigated the growth pattern and species composition by landform and seaside distribution to evaluate the basic community structure and topographical distribution of the Peucedanum japonicum Thunb. community group in Korea. The appearing plants with the Peucedanum japonicum Thunb. were a total 170 taxa belonging to 130 genera and to 57 families, and the species number by families was the most in Compositae of 30 taxa. The frequency of appearing plants was the highest in the Aster spathulifolius Max.(54.1%), and the east and west seasides were the highest in the Aster spathulifolius Max. and south seaside was the highest in the Miscanthus sinensis Ander.. The ratio of common plants among seasides was the highest between the west and south seasides of 35.6% with 47 taxa. The distribution landforms of the Peucedanum japonicum Thunb. was a $17.4^{\circ}$ slope of the unevenness landform, vertical joint, horizontal joint, blockfield, planation surfaces and the rocky seaside of the sea cliff. The distribution among landforms was the greatest in the rocky seaside of the 61 regions. The sociability on growing pattern was the highest in the 3 sociability rank of 54.6% with the 83 region.

• Journal of the Korean earth science society
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• v.28 no.3
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• pp.324-342
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• 2007

This study reports petrography and geochemical characteristics of the basalt lava flows in Seongsan-Ilchulbong area, the easternpart of Jeju island, Korea, to understand the evolutionary processes of magma. Basalt lavas are classified into the Pyoseon-ri basalt and the Seongsan-ri basalt. The Pyoseon-ri basalt is dark-gray colored with many vescicles, and mainly consists of olivine, feldspar and rarely of clinopyroxene as phenocrysts. The Seongsan-ri basalt is largely aphanitic basalt and bright-gray colored, divided into two lava-flow units: lower lava flow (B1) and upper lava flow (B2) by the intercalated yellowish lapillistone and paleosol. The lavas plotted into sub-alkaline tholeiitic basalt and alkaline basalt series. The tholeiitic basalts have characteristically higher $SiO_2,\;FeO^T$, and CaO contents, but lower $TiO_2,\;K_2O,\;P_2O_5$ and other incompatible elements compared to the alkali basalts. The tholeiitic basalts have higher $SiO_2$ to the same MgO contents than the alkalic basalts. The contents of Ni, Cr, and MgO show a strong positive correlation, which indicates that low-MgO phases like plagioclase and titanomagnetite were important during the differentiation of magma. The contents of incompatible elements against that of Th show a strong positive correlation. The chondrite-nomalized REE patterns of tholeiitic and alkalic basalts are subparallel each other. LREEs contents of the former are lower than, but HREEs contents are similar to the latter. They both are similar to their K/Ba ratios. The primitive-mantle normalized spider diagram demonstrates that the contents of Ba and Th of all basaltic magma are enriched, and yet Cr, Ni are depleted. The tholeiitic and alkalic basalts may be originated from a different degree of the partial melting of the same mantle material source, and one shows a higher degree of the partial melting than the other.

• Journal of the Korean earth science society
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• v.26 no.7
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• pp.630-639
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• 2005

The purpose of this study was to investigate the classifying ability of the igneous rocks with the naked eye for 36 preservice science teachers. For this, we selected six specimens of igneous rocks that consisted of rhyolite, andesite, basalt, granite, diorite, and gabbro, and performed the questionnaire with them. Preservice science teachers needed the average of 3 tools to classify the rocks. Most of the selected tools were loupe, streak plate, hammer and Mohs’ hardness scale. Many preservice science teachers selected basalt and granite samples to classify igneous rocks among 6 kinds of the rocks which were exhibited. However, the results of the identification with the naked eye showed that the right answer rate was significantly different based on what rock sample had been selected. Nobody gave the right answer among 10 students who chose the rhyolite sample, but all of 36 students who picked the basalt sample answered correctly. And $62\%$ of 8 students who chose the andesite sample, 62% of 32 student choosing granite, $7\%$ of 13 students choosing diorite and $44\%$ of 9 students choosing gabbro were correctly answered. In identifying igneous rock samples with the naked eye, most subjects relied on vesicular texture to basalt, and they used textural, color and empirical characters to granite. But, some felt more or less difficulty to distinguish between intermediate and light colors and to recognize porphyry.

• Economic and Environmental Geology
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• v.42 no.6
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• pp.591-598
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• 2009

We made 2511 thermal property measurements on igneous, metamorphic, and sedimentary rock samples from Korea. The average thermal conductivities of igneous, metamorphic, and sedimentary rocks are 3.10 W/m-K, 3.76 W/m-K, and 3.54 W/m-K, respectively. Igneous rock can be classified into pluton, hypabyssal rock, and volconic rock; the average thermal conductivities of those rock types are 3.16 W/m-K, 3.26 W/m-K, and 2.77 W/m-K, respectively. Nonclastic sedimentary rock has higher thermal conductivity than clastic sedimentary rock. Thermal conductivity of Palezoic era rock is higher than Mesozoic era rock, because dominant mineral contents play an important role in the determination of thermal conductivity. Thermal conductivity of rocks is influenced by porosity. Therefore thermal conductivity of sedimentary rocks generally decreases with increasing porosity. Thermal conductivity and thermal diffusivity show linear correlation, its correlation coefficient of igneous, metamorphic, and sedimentary rocks are 0.775, 0.855, and 0.876, respectively.

• Journal of the Korean Geotechnical Society
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• v.17 no.4
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• pp.127-134
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• 2001

본 논문에서는 국내 여러 지역에서 수행된 도로, 철도 및 기타 토목공사를 위한 설계과정에서 조사가 이루어진 현지조사와 시추코아 및 시추공을 대상으로 암반평가가 이루어진 자료들을 대상으로 암반분류방법간의 상관관계에 대해 조사하였다. 상관관계에 대한 해석은 암반분류에서 많이 사용되고 있는 RMR과 Q분류법간의 상관관계 그리고 RQD와 두 암반평가방법간의 관계에 대하여 암석성인별 분류 즉 화성암, 퇴적암 및 변성암별로 검토를 실시하였다. 전체적으로 분류방법의 상관관계는 좋게 나타나고 있다. 그리고 음파검층에 의한 탄성파 P파 속도와 RMR의 상관관계를 고찰하였는데, 이 두 요소간의 상관성은 비교적 양호하였으며 보다 신뢰성 있는 관계식을 유도하기 위한 노력이 필요하다.

• Journal of The Geomorphological Association of Korea
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• v.19 no.3
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• pp.51-69
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• 2012

Physical strength of the rock is the most important factor of resistance to erosion and has been measured through various way. Bedrock microforms, like potholes and grooves, are the forms sculpted by the erosional processes of flow and the location and morphology are strongly affected by the differential erosion. It also assumed that the physical strength of the rock controls the erosion rate and mode of erosion. The schmidt hammer has been used to measure the rock strength in the field for the geomorphological research. To find the relationship between the rock strength and microforms, Schmidt hammer's R(rebound) were measured in the Baeksuktan, middle reach of Gilancheon, Cheongsong, Gyungsangbuk do. The overall values of rebound of the local sandstone showed over 65 in most cases, so it can be regarded as 'very strong'. It is found that the rebound values of the rock surface decreased towards current water level. It also, however, found that there was no systematic differences in rebound values among the topographically high and lows in the bedrock surface. There was no statistically significant difference in rebound values of the area with well developed microforms and others. The values of R from the exposed faces and inside of the microforms are similar. In the case of conglomerate, the part with the gravel showed higher values that the parts with sands. The rebound values are decreased near of(<1cm) the geological discontinuities(including joint and faults), so this line of weakness could be the point of initiation of active erosion to form microforms. However there is large variations in rebound values within this part. It also should be mentioned that topological relation between the strike of the geologic discontinuities and flow direction looks control the mode of erosional processes.