• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.688-692
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• 2009

본 연구는 전국 토양유실분포도와 토양유실위험 등급도를 작성하는 것을 목적으로 하였다. 토양유실분포도는 RUSLE를 이용하였고, 강우-유출 침식성인자(R)는 기상청의 59개 기상관측소의 1977년부터 2006년까지(30년간)의 강우량 자료를 이용하여 산정하였다. 빈도분석은 FARD를 이용하였고, 전국 R인자를 빈도별로 산정하였다. 토양유실량 분석결과 토지피복별로 초지, 나지 밭의 크기 순서로 토양유실이 발생하고, 우리나라 전체 평균은 약 17.2 ton/ha 정도의 토양유실이 발생하는 것으로 분석되었다. 5년빈도 강우특성에서 전체 토양유실량은 15,000여 톤의 토양유실이 발생하는 것으로 나타났으며, 토지피복 구분에서는 논, 산림, 밭작물 재배지역에서 많은 토양유실이 발생하는 것으로 분석되었다. 토양침유실 위험 등급도 작성은 토양유실위험 등급을 5개 등급으로 구분하여 수행하였다. 분석결과 토양유실위험 2등급인 보통지역이 전체 토양유실량 위험지역의 78.2%로 가장 많은 부분을 차지하고 있으며, 심각한 토양유실 위험지역은 분석지역 전체 중에서 약 1.1%인 $1,038km^2$정도인 것으로 분석되었다. 토지피복별로 심각한 토양유실 위험지역은 나지, 초지, 밭작물 재배지역의 순으로 각각 $93.5km^2$, $168.1km^2$, $327.4km^2$ 정도가 심각한 등급의 토양유실 위험 지역으로 분석되었다.

• 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 Korea Soil Environment Society
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• v.1 no.1
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• pp.55-65
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• 1996

Soil quality of most of Soil Network area was estimated healthy by employing Soil Pollution Indices (Soil Pollution Score and Soil Pollution Class). However, 1.5∼3.7% of the total Soil Network area was determined Soil Pollution Class (SPC) 4 which may need cleanup process due to slight or heavy pollution with arsenics and heavy metals. Numbers of the SPC 4 sites were 9, 47, 19, 17, and 17 in 1987, 1989, 1991, 1993, and 1994, respectively During 1987 and 1994, all of SPC 4 sites were identified agricultural land except one in 1994. Soil Pollution Scores (SPSs) was determined high around smelters, metalliferous mines, and industrial sites among the 16 major soil pollution sources of the Soil Network. Also, most area of SPC 4 sites were densely populated in these area of the Soil Network. SPSs of Inchon and Taegu were high among the other major cities and provinces in Korea. Numbers of SPC 4 were high in the province of Kangwon, Kyongbuk, Kyongnam amongst. Cumulative numbers of SPC 4 multiplied by a weighting value 0.3 during 1987 and 1994 of the Soil Network were regressed to develop a model equation for prospecting the soil quality. The model equation was Y= 1.16+0.23x, where as Y is the number of Class 4 and x is the year. Resulting the area of SPC 4 were 4.8%, 6.0%, 6.6% of the Soil Network in the year of 2001, 2006, 2011, respectively Based on this results, the area of SPC 4 would increase 5, 7, and 10 times comparing the area polluted with heavy metals in 1987.

• Proceedings of the Speleological Society Conference
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• 1992.07a
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• pp.42-42
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• 1992

본 논문에서 훈춘 농업개발을 위하여 농업생산의 기본 자료인 토양자원에 대하여 평가하고 개발 이용에 대한 평가 방법은 여러 가지가 있지만 본 논문에서는 지수-등급법을 사용하여 훈춘시 토양자원의 등급을 확정했다. 지수 항목에서는 일반적으로 통용하는 항목 외에 적산온도, 토양생산성능을 증설했고 지수 설정에서는 부동한 항목에 대하여 부동한 지수를 주였다. 토양자원의 등급획분에서는 계산한 지수의 대소에 따라 4등 6급으로. 나누어 토양의 비옥성과 작물배치의 적합성을 종합적으로 개괄했고 토양 이용 방향에 대해 제시했다.(중략)

• Korean Journal of Medicinal Crop Science
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• v.15 no.1
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• pp.12-16
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• 2007

This study was carried out to investigate the cultivated soil properties, the growth and yield of Ostericum koreanum Kit. in the Bonghwa area. The results were as follows: In Bonghwa area, soil texture of upland soil were mostly sandy loam and loam. Sloped areas of $7\sim15%$ were plentiful than the other slopes, that of next was $15\sim30%$ slope. Sandy loam and loam soil were mostly 'well' in the drainage class, but loamy coarse sand and loamy sand soil were 'excessively well' drainage class. In the 'moderately well' drainage class, yield of Ostericum koreanum was 289kg/10a, and that of 'poorly' drainage class was low. The yield of loam soil texture was 284kg/10a. Soil organic matter, Potassium and EC were lower in 'poorly' drainage, but the other constituents were not definite tendency by different drainage classes.

• Spatial Information Research
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• v.17 no.3
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• pp.261-268
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• 2009

This study accomplished to draw a soil erosion map and a grade map of soil loss hazard in Korea. RUSLE and Rainfall-runoff (R) factor, which was estimated by using the rainfall data observed in 59 meteorological stations from 1977 to 2006 (for 30 years). FARD was used to analyze the frequency, and the whole country R factor was estimated according to the frequency. In the analysis of estimating the whole country R factor, Nakdong river has the smallest vaule, but Han river has the biggest value. According to the result of analyzing soil loss, soil loss occurred in a grass land, a bare land and a field in size order, and also approximately 17.2 ton/ha soil loss happened on the whole area. The average soil loss amount by the unit area takes place in a bare land and a grass land a lot. The total amount of soil loss in 5-year-frequency rainfall yields 15,000 ton and, what is more, a lot of soil loss happens in a paddy field, a forest and a crop field. The grade map of soil loss hazard is drawn up by classifying soil loss hazard grade by 5. As a result of analyzing soil loss, the moderate area which is the soil loss hazard grade 2 takes up the largest part, 72.8% of the total soil loss hazard area, on the contrary, the severe soil loss hazard area takes up only $1,038km^2$ (1.1%) of the whole area. The severe soil loss hazard area by land cover shows $93.5km^2$ in a bare land, $168.1km^2$ in a grass land and $327.4km^2$ in a crop field respectively.

• Korean Journal of Soil Science and Fertilizer
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• v.41 no.6
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• pp.387-392
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• 2008

It is very important to characterize five major properties of topography, drainage class, soil texture, available soil depth, and gravel content for soil survey. We used multidimensional scaling method for analyzing five major properties for the soils originated from sedimentary rocks to understand their relationships. We simplified 5 major characteristics on soils derived from sedimentary rocks. That is, topographic factor was 15 to 9, soil texture was 32 to 6, drainage class was 6 to 5, available depth was 4, and gravel content was 3. For the viewpoint of eigenvector, from dimension 2, 3 to dimension 1, 4, mountain soils and more fine soils dominated. By eigenvalue, there was no tendency, but in details, was some tendency between small groups. Like this, closely observe exceptional distribution of soils, we need improved intra-group homogeneity based on weight control of soil factor, addition and subtraction of soil factors. Also, we carefully analyzed soil characteristics involved intra-group, then we need reconsideration of past classification units.

• Korean Journal of Soil Science and Fertilizer
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• v.38 no.2
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• pp.59-65
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• 2005

This study was performed to estimate the soil loss on a national scale and grade regions with the potential risk of soil erosion. Universal soil loss equation (USLE) for rainfall and runoff erosivity factors (R), cover management factors (C) and support practice factors (P) and revised USLE for soil erodibility factors (K) and topographic factors (LS) were used. To estimate the soil loss, the whole nation was divided into 21,337 groups according to city county, soil phase and land use type. The R factors were high in the southern coast of Gyeongnam and Jeonnam and part of the western coast of Gyeonggi and low in the inland and eastern coast of Gyeongbuk. The K factors were higher in the regions located on the lower streams of rivers and the plain lands of the western coast of Chungnam and Jeonbuk. The average slope of upland areas in Pyeongchang-gun was the steepest of 30.1%. The foot-slope areas from the Taebaek Mountains to the Sobaek Mountains had steep uplands. Total soil loss of Korea was estimated as $50{\times}10^6Mg$ in 2004. The potential risk of soil erosion in upland was the severest in Gyeongnam and the amount of soil erosion was the greatest in Jeonnam. The regions in which annual soil loss was estimated over $50Mg\;ha^{-1}$ were graded as "the very severe" and their acreage was $168{\times}10^3ha$ in 2004. The soil erosion maps of city/county of Korea were made based on digital soil maps with 1:25,000 scale.

• Journal of Korean Society of Forest Science
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• v.109 no.2
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• pp.157-168
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• 2020

The sensitivity of forest soil to acidification in the Republic of Korea (ROK) was evaluated based on pH_H2O, cation exchange capacity (CEC), and base saturation (BS). Sensitivity to acidification was categorized into three grades: adequate level (AL, pH ≧ 4.2, CEC ≧ 15cmol/kg, BS ≧ 15%), caution level (CL, at least one indicator is below AL), and severe Level (SL, all three indicators are below AL). Soil samples were collected from the 65 stationary monitoring plots (40 × 40 ㎢), distributed throughout ROK. Only 19% of soil samples were classified as AL, while 66% and 15% were CL and SL, respectively. The median of pH_H2O, CEC, BS, and Ca/Al indicator in AL soils was pH 4.64, 20.7cmol/kg, 29%, and 6.3, respectively. Moreover, BC_ex (K⁺, Mg²⁺, Ca²⁺) and available phosphorus (AP) concentration compared with a threshold value and molar ratio of BC_ex and AP to total nitrogen (TN) was high. This indicates that AL soils have a good nutrient condition. The molar Ca/Al ratio, an indicator for toxicity of exchangeable aluminum (Al_ex), was more than 1, indicating no negative impact of Al_ex on plant growth. On the contrary, the median of pH_H2O, CEC, and BS in SL soils was pH 4.02, 13.2cmol/kg, and 10%, respectively. The Ca/Al index was less than 0.6, which indicates that negative impacts of Al_ex on plants were high. Furthermore, both the concentration of BC_ex in SL soils and the BC_ex/TN ratio were the lowest among the three acidity degrees. This shows that SLsoils can be degraded by soil acidification compared with less acidic soils.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2003.09a
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• pp.346-349
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• 2003

광산 및 폐광산으로부터의 오염 및 유해영향에 대한 보고와 관심이 대두되면서 휴ㆍ폐광산에 대한 연구가 활발히 진행되고 있다. 본 연구는 경북 군위군의 고로 폐광산 주변 중 광미 및 광폐석으로 오염된 것으로 생각되어지는 하천 및 농경지에 대한 오염 정도와 분포를 규명하기 위하여 토양정밀조사를 실시하였다. 토양 오염 정밀조사 지침에 따라 총 741개의 토양 시료 분석 결과 Cu, Cd, Pb은 토양오염 우려 기준에 훨씬 미치지 못하였지만 As는 표토 및 심토 구간(0-30cm)에서 토양 오염 우려 기준 농도를 상당 수 초과하여 하천 및 농경지의 복원이 필수적임을 알 수 있었다. 합리적인 복원물량을 산출하기 위하여 배경치 농도(1.23mg/kg), 토양오염우려기준 40%농도(2.4mg/kg), 토양오염우려기준농도(6mg/kg), 토양오염대책기준농도(15mg/kg)별로 오염 등급을 나누어 오염 지도를 작성하고 각 등급별 복원목표에 따라 복원이 필요한 면적과 복원대상물량을 산출하였다. 본 연구는 오염토양의 복원을 목적으로 국내에서 최초로 실시된 대규모의 토양정밀조사라는 점에서 의미가 있으며, 이 결과는 실제 고로 폐광산지역의 복원 사업설계에 중요한 자료로 사용될 수 있다.