• Asian Journal of Turfgrass Science
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• v.6 no.2
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• pp.113-119
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• 1992

Soil Classification of 70 golf courses in Korea was identified according to the detailed soil map from Rural Development Administration. Golf courses (GL) soils were included 6 great soil groups(by the old system) and 8 great groups (by the new system) and 17 soil series. Most abundant great soil groups by old system were Red yellow soils(50% of GL) and Lithosols (44%) and by new systems, Dystrochrepts(74%), Eutrochrepts(8.6%) and Hapludults(7.1%) were main great soil groups. Major soil series were indentified as Osan(27.1% G.F), Samgag(18.6%), Yesan(11.4%), Songsan(8.6%) and Daegu(7.1%). Characteristics of great soil groups and soil series were summaried or tabled for golf course management.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.14 no.3
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• pp.245-251
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• 2016

Soil can be contaminated by radioactive materials due to nuclide leakage following unexpected situations during the decommissioning of a nuclear power plant. Soil decontamination is necessary if contaminated land is to be reused for housing or industry. The present study classifies various soil remediation technologies into biological, physics/chemical and thermal treatment and analyzes their principles and treatment materials. Among these methods, this study selects technologies and categorizes the economics, applicability and technical characteristics of each technology into three levels of high, medium and low by weighting the various factors. Based on this analysis, the most applicable soil decontamination technology was identified.

• Korean Journal of Soil Science and Fertilizer
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• v.43 no.3
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• pp.363-373
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• 2010

"Curve number" (CN) indicates the runoff potential of an area. The US Soil Conservation Service (SCS)'s CN method is a simple, widely used, and efficient method for estimating the runoff from a rainfall event in a particular area, especially in ungauged basins. The use of soil maps requested from end-users was dominant up to about 80% of total use for estimating CN based rainfall-runoff. This study introduce the use of soil maps with respect to hydrologic and watershed management focused on hydrologic soil group and a case study resulted in assessing effective rainfall and runoff hydrograph based on SCS-CN method in a small watershed. The ratio of distribution areas for hydrologic soil group based on detailed soil map (1:25,000) of Korea were 42.2% (A), 29.4% (B), 18.5% (C), and 9.9% (D) for HSG 1995, and 35.1% (A), 15.7% (B), 5.5% (C), and 43.7% (D) for HSG 2006, respectively. The ratio of D group in HSG 2006 accounted for 43.7% of the total and 34.1% reclassified from A, B, and C groups of HSG 1995. Similarity between HSG 1995 and 2006 was about 55%. Our study area was located in Sosu-myeon, Goesan-gun including an approx. 44 $km^2$-catchment, Chungchungbuk-do. We used a digital elevation model (DEM) to delineate the catchments. The soils were classified into 4 hydrologic soil groups on the basis of measured infiltration rate and a model of the representative soils of the study area reported by Jung et al. 2006. Digital soil maps (1:5,000) were used for classifying hydrologic soil groups on the basis of soil series unit. Using high resolution satellite images, we delineated the boundary of each field or other parcel on computer screen, then surveyed the land use and cover in each. We calculated CN for each and used those data and a land use and cover map and a hydrologic soil map to estimate runoff. CN values, which are ranged from 0 (no runoff) to 100 (all precipitation runs off), of the catchment were 73 by HSG 1995 and 79 by HSG 2006, respectively. Each runoff response, peak runoff and time-to-peak, was examined using the SCS triangular synthetic unit hydrograph, and the results of HSG 2006 showed better agreement with the field observed data than those with use of HSG 1995.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.6
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• pp.439-446
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• 2011

In this research, enhanced land-cover classification methods using high-resolution satellite image (HRSI) and GIS in terms of practicality and accuracy was proposed. It aims for understanding non-point pollutant origin/loading, assessment the efficiency of rainfall storage/infiltration facilities and sounds water-environment management. The result of applying enhanced land-cover classification methods to the urban region verifies that roof and road area are including various vegetations such as roof garden, flower bed in the median strip and street tree. This accounts for 3% of total study area, and more importantly it was counted as impervious area by GIS alone or conventional indoor work. The feasibility of the method was assessed by applying to rainfall-runoff analysis for three weak rainfall in the range of 7.1-10.5 mm events in 2000, Chiba, Japan. A good agreement between simulated and observed runoff hydrograph was obtained. In comparison, the hydrograph simulated with land-use parameters by the detailed land-use information of 10m grid had an error between 31%~71%, while enhanced method showed 4% to 29%, and showed the improvement particularly for reproducing observed peak and recession flow rate of hydrograph in weak rainfall condition.

• Journal of Korea Soil Environment Society
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• v.1 no.1
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• pp.47-54
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• 1996

Soil pollution indices (SPI) were designed for estimating quality of soil polluted with arsenic and heavy metals. Applying the quality reference value of soil based on its multifunctional purpose was a key step. For considereing multifunctions of soil, soil was classified into 4 groups-agricultural land, residential area, recreational area, factorial site. Then, each concentration of arsenic and each of five heavy metals (Cd, Cu, Hg, Pb, Zn) in soils grouped was transformed to a mathematical value based on the soil quality reference value which may stand for ecological impact. Soil pollution score (SPS) was the addition of the 6 values transformed, and the range of the SPS was divided into 4 Soil Pollution Classes (SPC). The SPC 1, 2, 3, and 4 were SPS <100, SPS 100-200, SPS >200-300, and SPS >300, repectively. SPS and SPC were evaluated with the results of the data from employing the Soil Network of 1994. Based on the soil quality reference values, SPS and SPC of the Soil Network's data were transformed and classified, respectively. Then, SPS and SPC were compared with arsenic and the 5 heavy metal contents of their reference values resulted from the Soil Network's. From this method, soil quality of most of the Soil Network area was estimated to be healthy. However, ca. 3.0~4.0% of the Soil Network area was determined in a range of slightly and heavily polluted. As the mean value of SPS of the Soil Network's was 66.2 which indicates most of soil evaluated was healthy. When the SPSs of the data were divided into 4 groups of SPC, Class 1 (Good quality of soil), Class 2 (Need to be checked area 1), Class 3 (Need to be checked area 2) and Class 4 (Polluted area) were 87.0, 9.4, 2.4, 1.2%, respectively. Using SPI were comparable to those of heavy metal contents in soils, and would be comprehenve to determine the status of soil qulity. Methodology of the developing SPI would be applicable to the other soil pollutants such as organic and inorganics than arsenic and 5 heavy metals used here.

• Journal of the Korean Geographical Society
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• v.35 no.2
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• pp.159-176
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• 2000

본 연구는 남한강 상류의 소지류인 쌍천 유역에 발달한 하성단구의 퇴적물을 모재로 발달한 토양 특성을 조사.분석하였다. 중위 단구의 A1층은 갈색(10YR 4/3)의 미사질토양이고 발달도가 낮은 입상구조이며 B1층은 황갈색(10YR 5/8)의 사질식양토로 아각괴상구조이다. 고위단구의 A1층은 옅은 적갈색(5YR 4/3)의 미사질양토 내지 황갈색(10YR 5/8)의 미사질식토로 발달도가 낮은 아각괴상구조이다. B1층은 적색(2.5YR 3/6)의 사질식토 내지 밝은 적갈색(2.5YR 4/6)의 식양토로 발달도가 양호한 아각괴상구조이다. 고위단구 퇴적층을 모재로 발달한 토양의 구조는 중정도의아각괴상구조이고 조직이 치밀하다. 토양은 A1층, B1층,B2층으로 되어 있으며 또한 B층은 점토가 집적되어 있고 점토 피막이 나타난다. 쌍천의 중위단구상에 발달한 토양은 황갈색토이고 고위 단구상의 토양은 적색토이다. 고위단구 퇴적물을 모재로 발달한 본 적색토는 생성시가가 민델-리스 간빙기의 이전에 생성된 것으로 현재보다 온난한 생물-기후 조건하에서 탈규산화를 동반하는 적색토화작용에 의해 형성된 것으로 추정된다. 고위단구에 발달한 적색토는 토양단면의 형태적 및 물리 화학적인 특성등으로 보아 고적색토로 분류된다.

• Spatial Information Research
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• v.6 no.1
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• pp.25-33
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• 1998

The study region encompasses about 5,900$km^2$ including the topographic maps of Kimhae, Pusan, Miryang, Yangsan, Panguhjin, Tonggok, Uhnyang, Ulsan, Youngchon, Kyongju, Pulguksa, and Kampo, all at a scale of 1:50,000. The paper discusses how to have prepared the four thematic maps, landslide and unstable slope distribution map, slope classification amp, soil classification map, and lineament density map. Using all the above maps and GIS, the relative slope-stability map for the study regiun was produced at a scale of 1:100,000 ; the map can be utilized for the regional land-use planning in the study region.

• Proceedings of the Zoological Society Korea Conference
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• 1998.10b
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• pp.100-100
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• 1998

• Proceedings of the Korean Environmental Sciences Society Conference
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• 2008.11a
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• pp.355-357
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• 2008

• Proceedings of the Korean Society of Applied Entomolohy Conference
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• 2002.05a
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• pp.38-38
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• 2002