• Title/Summary/Keyword: Soil factor

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Estimating the Soil Volume Conversion Factor of Weathered Ground with Consideration of Field Situations

  • Jin, Kyu-Nam;Cho, Gye-Chun;Lee, Jung-Min;Ryu, Hee-Hwan;Park, Sung-Wook
    • Land and Housing Review
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    • v.2 no.2
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    • pp.145-155
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    • 2011
  • It is very important for successful construction to estimate the soil volume conversion factor of domestic weathered ground accurately and reasonably. However, it is very difficult to quantify the weathering degree of weathered ground at the field, so that the soil volume conversion factor used in Korea is often dependent upon the standard of foreign countries. Besides, the soil volume conversion factor of domestic weathered ground has been rarely studied and the use and accuracy of the soil volume conversion factor have been questioned persistingly. This study suggests a simple but robust method for estimating the soil volume conversion factor and measuring the weathering degree reasonably, and attempts to establish the utilization of a soil volume conversion factor measurement system based on experimental and analytical results. We made relationship between electrical resistivity and weathering degree presented from weathering index obtained through laboratory tests using field samples, and an estimation method of in-situ weathering degree for granites and a calculation method of soil volume conversion factor using electrical resistivity. And also, we suggested the photogrametry measurement-equipment system for measuring the volume of cargo box and the application plan of stand equipment and RFID for calculating the earth volume and distinguishing buggies in order to design the measurement system for soil volume conversion factor applicable to the field. Ultimately, the Weathered Earth-work Management Program (WEMP) was developed, so field managers may easily obtain the information about earth volume and soil volume conversion factor at the weathered ground.

The Evaluation of Soil Loss Considering the R-Factor Value Following the Climate Change (기후변화에 따른 R-Factor 값을 고려한 토양 유실량 평가)

  • Park, Jaehyun;Kim, Dongju;Kim, Minkyu;Jang, Chunhwa;Kang, Hyunwoo;Kum, Donghyuk;Lim, Kyoung
    • KCID journal
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    • v.21 no.1
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    • pp.64-77
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    • 2014
  • This study evaluated the soil loss considering the R-Factor value following the climate change. To calculate the soil loss of the basin in Jaun-ri, Hongcheon-gun which is the study area, the future climate change scenario and convenience revision were used to build the past 30 years, future 30 years R-Factor and it was applied to USLE model. As a result, as the R-Factor value declined a little in the future, the soil loss was also reduced but it corresponds to the 'very high' according to the OECD soil loss grade so the solution to reduce the soil loss is necessary and it can be used for another study material.

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Behavior and Safety Factor of Nailed-Soil Excavation Wall During Earthquake (지진시 Nailed-Soil 굴착벽체의 안전율과 거동특성)

  • Jo, Young-Jin;Kwak, Myeong-Chang;Choi, Se-Hyu
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.13 no.6 s.58
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    • pp.183-191
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    • 2009
  • In this study, the behavior and safety factor of a nailed-soil excavation wall during earthquake is presented. The horizontal displacement, axial force, shear force, and moment of facing of a nailed-soil excavation wall subjected to static and seismic load are analyzed using time history analysis. The safety factor based on the strength reduction technique proposed by Dawson and Roth is used to calculate the safety factor of a nailed-soil excavation wall during earthquake. The safety factor by the proposed method is verified by comparing with those by other methods.

Risk Assessment of Soil Erosion in Gyeongju Using RUSLE Method (RUSLE 기법을 이용한 경주지역의 토양침식 위험도 평가)

  • Oh, Jeong-Hak;You, Ju-Han;Kim, Kyung-Tae;Lee, Woo-Sung
    • Journal of Environmental Impact Assessment
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    • v.20 no.3
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    • pp.313-324
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    • 2011
  • The purpose of this study is to present the raw data for establishing the plan of top soil conservation in soil environment and preventing the soil loss by establishing the potential amount of soil loss using RUSLE. The results are as follows. To apply the RUSLE model, we calculated the potential amount of soil loss by using 5 factors; rainfall erosion factor(R), topographical factor(LS), soil erosion factor(K), land cover factor(C) and erosion control factor(P). The assessment map of soil loss was drawn up by classifying 5 grades. According to the soil loss estimation by the RUSLE, it showed that approximately 83.9% of the study area had relatively lower possibility of soil loss which was the 1 ton/ha in annual soil loss. Whereas, the 7.0% of the study area was defined as high risk area which was the 10 ton/ha in annual. Therefore, this area was needed that there was environment-friendly construction of farm land, improvement of cultivation environment and so forth. In future, if we will analyze the amount of soil loss of Gyeongju national park and Hyeongsan river watershed, we will offer the help to establishing the conservation plan of soil environment in Gyeongsangbuk-do.

Application of Soil Factor on the Aseismic Design (내진 설계시 지반계수의 합리적 적용에 대한 연구)

  • 이인모;임종석
    • Geotechnical Engineering
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    • v.9 no.1
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    • pp.7-20
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    • 1993
  • The first Korean earthquake resistant design code was enacted in 1988. In the code, the soil factor which takes into account both the soil amplification factor and the soil -structare interaction effect is divided into three groups : soil factor, 5 : 1.0, 1.2 and 1.5. In order to assist in choosing the soil factors appropriately in the earthquake resistant design, the local site effects on the based shear force induced by earthquakes are considered in depth for typical soil conditions in Korea. The depth of the alluvial and/or weathered zone is usually not deep and the fresh rock is found at depth shallower than 20 meters, and even at about 10 meters around Seoul. One dimensional wave propagation theory and the elastic half space method are used to obtain the soil -structure interaction effect as well as the soil amplification effect. The kinematic interaction effect due to scattering of waves by pile foundation is also considered. Finally, the soil factor is recommended for each soil condition from loose state to dense, and also from shallow soil depth to deep, so that the designer can choose the factor with-out difficulty.

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The comparison of the adsorption characteristic of heavy metals onto soil mixed with food compost using retardation coefficient (지연계수를 이용한 음식물 퇴비 혼합 토양의 중금속 흡착특성 비교)

  • Joo, You-Yoen;Kang, Seon-Hong
    • Journal of Korean Society of Water and Wastewater
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    • v.22 no.2
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    • pp.245-250
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    • 2008
  • Adsorption experiment was carried out to find the adsorption capacity and characteristics of heavy metals(Cd, Pb) onto soil and mixed soil with food compost. Result showed that mixed soil having higher organic content adsorbed more heavy metal than soil, indicating that food compost can be used effectively to prevent soil pollution. Linear adsorption isotherm which adopted to find the adsorption characteristics was used to calculate Retardation Factor(R). The value of Retardation Factor(R)s of Pb and Cd in mixed soil, found as 34.54, 24.42 respectively, are higher than those in soil which were found as 4.64, 3.67, respectively. The value of Retardation Factor(R) using Freundlich adsorption isotherm could be presented by the functions of concentration and showed similar result as the linear one. But Freundlich adsorption isotherm showed higher relationship than linear one and the retardation factor(R) from freundlich adsorption isotherm was thought as more effective method to assess adsorption capacity because it could reflect gradient and intercept of the isotherm.

Assessment of Electrical Conductivity of Saturated Soil Paste from 1:5 Soil-Water Extracts for Reclaimed Tideland Soils in South-Western Coastal Area of Korea

  • Park, Hyun-Jin;Yang, Hye In;Park, Se-In;Seo, Bo-Seong;Lee, Dong-Hwan;Kim, Han-Yong;Choi, Woo-Jung
    • Korean Journal of Environmental Agriculture
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    • v.38 no.2
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    • pp.69-75
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    • 2019
  • BACKGROUND: Measurement of electrical conductivity of saturated soil paste ($EC_e$) for assessment of soil salinity is time-consuming, and thus conversion of EC of 1:5 soil-water extract ($EC_{1:5}$) to $EC_e$ using a dilution factor may be of help to monitor salinity of huge number of soil samples. This study was conducted to evaluate the dilution factor for reclaimed tideland (RTL) soils of South Korea. METHODS AND RESULTS: Soil samples (n=40) were collected from four RTLs, and analyzed for $EC_{1:5}$, $EC_e$, and cation compositions of 1:5 soil-water extract. The dilution factor (8.70) was estimated by regression analysis between $EC_{1:5}$ and $EC_e$, and the obtained dilution factor was validated by applying to an independent data set (n=96) of $EC_{1:5}$ and $EC_e$. The $EC_e$ measured and predicted was strongly correlated ($r^2=0.74$, P<0.001), but $EC_e$ was overestimated by 16% particularly for the soils with high clay content and low sodium adsorption ratio (SAR). CONCLUSION: This study suggests that using the dilution factor to convert $EC_{1:5}$ to $EC_e$ is feasible method to monitor changes in the soil salinity of the study RTL. However, overestimation of $EC_e$ should be cautioned for the soils with high clay content and low SAR.

Rainfall Erosion Factor for Estimating Soil Loss (토양유실량 여측(予測)을 위한 강우인자(降雨因子)의 분석(分析))

  • Jung, Pil-Kyun;Ko, Mun-Hwan;Im, Jeong-Nam;Um, Ki-Tae;Choi, Dae-Ung
    • Korean Journal of Soil Science and Fertilizer
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    • v.16 no.2
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    • pp.112-118
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    • 1983
  • Rainfall factor (R-factor), which is an index for the prediction of soil erosion in the Universal Soil Loss Equation (USLE), was computed from 21 years rainfall data at 51 locations in Korea. The values of R-factor are from 200 to 300 in the eastern part, and 300 to 700 in the western and southern part of the peninsula. Curvilinear regressions exist between annual rainfall and annual R-factor or between monthly rainfall and monthly R-factor. The R-factor can be estimated from the regression equation as a function of the amount of rainfall. According to the comparison between the actual soil loss measured by lysimeter and the soil loss predicted by the USLE, EI 30 for R-factor was recognized as a suitable factor for the USLE in korea.

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Potential Soil Loss Prediction for Land Resource Management in the Nakdong River Basin (토지자원관리를 위한 낙동강 유역의 잠재적 토양유실량 산정)

  • Oh, Jeong-Hak;Jung, Sung-Gwan
    • Journal of Korean Society of Rural Planning
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    • v.11 no.2 s.27
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    • pp.9-19
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    • 2005
  • The purpose of this study is to analyze the potential soil loss and hazard zone by the Revised Universal Soil Loss Equation(RUSLE) for preservation and management of land resources which is the base of ecosystem, and to grasp the relationship between RUSLE factors in the Nakdong River Basin. All thematic maps used in RUSLE are constructed through GIS and spatial analysis method derived from digital topographic maps, detailed soil maps, land-cover maps, and mean annual precipitation of 30 years collected respectively from National Geographic Information Institute, National Institute of Agricultural Science and Technology, and Ministry of Environment. The slope length of LS-factor that takes much times by the study area's wideness was calculated automatically through AML(Arc Macro Language) program developed by Van Remortel et al.(2001, 2003). The results are as follows; First, according to the soil loss estimation by the RUSLE, it shows that approximately 82% of the study area have relatively lower possibility of soil loss which is the 1 ton/ha in annual soil loss. While, 9.4% ($2,228km^2$) needed intensive and continuous management for soil loss. Because the amount of their annual soil loss was greater than 10 ton/ha that is optimum level suggested by Morgan(1995). For these areas, the author believe that a new approach which can minimize environmental impacts from soil loss through improvement of cultivation process and buffer forest zone should be applied. Second, according to the relationship between the RUSLE factors, topographical(LS-factor) and cover management(C-factor) conditions have a lot of influence on soil loss in case of the Nakdong River Basin. However, because of RUSLE factor's influence that affect to soil loss might be different based on the variety of spatial hierarchy and extent, it is necessary to analyze and evaluate factor's relationship in terms of spatial hierarchy and extent through field observations and further studies.

Pine Forest Soil Characteristics and Major Soil Impact Factors for Natural Regeneration

  • Kim, Min-Suk;Kim, Yong-Suk;Min, Hyun-Gi;Kim, Jeong-Gyu;Koo, Namin
    • Korean Journal of Soil Science and Fertilizer
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    • v.50 no.3
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    • pp.179-186
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    • 2017
  • This study was conducted to identify characteristics of domestic pine forest soils and to elucidate major soil influencing factors for natural regeneration. We analyzed the physico-chemical characteristics of the soil samples collected from 23 pine forests and confirmed the similar results with the forest soil characteristics. Soil pH, organic matter content, total nitrogen, exchangeable Ca, silt content, and exchangeable Al were selected as the major soil factors among the exposed soils through 10 days of pine seedlings exposure and cultivation experiments and statistical analysis. Multiple regression analysis showed that soil pH had a positive effect on specific root length (SRL) of red pine seedlings and exchangeable Al was a significant factor affecting negative change in SRL. Taken together, the reduction of exchangeable Al by soil pH adjustment would be helpful for natural regeneration by restoring the forest and improving the fine root and root integrity of pine seedlings. Therefore, soil pH and exchangeable Al could be recommended as a major soil factor to be carefully considered in the monitoring and management of soil in pine forests that need to be renewed in the future.