• Korean Journal of Agricultural Science
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• v.46 no.4
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• pp.869-883
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• 2019

China is currently facing great challenges in protecting its arable soil from contamination by heavy metals, especially Cd in paddy soil. China enacted the first soil environmental quality standards (SEQS) for ten pollutants in 1995, and the Ministry of Ecology and Environment released the results of the first nationwide soil survey in 2014. The soil survey showed that as much as 16% of China's soil and 19% of the agricultural soils were contaminated mainly with heavy metals and metalloids beyond the environmental quality limits. The exceeded rate of the contaminant limits in food crops was widespread in China, and the most severe regions were East and Southwest China. Heavy metals and metalloids accounted for 82.4% of the contaminants in soils while organic pollutants accounted for 17% of the contaminants in the soil. Among the heavy metals and metalloids exceeding the Ministry of Environmental Protection (MEP) limit, cadmium (Cd) was highest at 7.0%, followed by nickel (4.8%), arsenic (2.7%), cobalt (2.1%), mercury (1.6%) and lead (1.5%). However, all the average concentrations of the pollutants were lower than the recommended values for the contaminants except for Cd for three levels of pH (< 6.5, 6.5 - 7.5, and > 7.5). According to the Action Plan on Prevention and Control of Soil Pollution released by the State Council in 2016, 90% of contaminated farmland will be made safe by 2020 with an increase to 95% by 2030. Therefore, it is necessary to improve the soil quality to meet the environmental quality standard for soils and heavy metal standards for food safety.

• Geophysics and Geophysical Exploration
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• v.8 no.2
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• pp.137-144
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• 2005

In this study, we offered the results of geophysical and geochemical survey on the municipal waste disposal area to delineate the size and extent of leachate contamination. Preliminary to intensive geochemical investigation, we performed two geophysical methods to characterize the survey area. Electromagnetic (EM) and magnetic method were used far site investigation. From the EM method, we can get the information of soil conductivity directly related to the leachate of the contaminations and from magnetic anomalies we can find the boundary of landfill which is not identified on the surface due to soil capping. The results of geophysical survey were well matched to those of geochemical method carried out inside and near the landfill. Electric conductivity (EC) of the groundwater sampled from low resistivity anomaly region of EM result was higher than background value and the border estimated from the magnetic survey showed good agreement with that estimated from the soil gas detection survey.

• Journal of Radiation Protection and Research
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• v.46 no.4
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• pp.194-203
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• 2021

Background: Surface soil radiation monitoring around nuclear facilities is important to classify and characterize the contaminated areas. A scanning and direct measurement technique can survey the sites rapidly before starting sampling analysis. Materials and Methods: Regarding this, we test and suggest a measurement technique for gross alpha/beta and ⁹⁰Sr activities in surface soil based on a mobile ZnS(Ag)/PVT (polyvinyltoluene) array and a handheld PVT rod, respectively. To detect ⁹⁰Sr selectively in soil mixed with naturally occurring radioactive materials, chosen energy channel counts from the multichannel analyzers were used instead of whole channel counts. Soil samples contaminated with exempt liquid ⁹⁰Sr with 1 Bq·g^-1, 3 Bq·g^-1, and 10 Bq·g^-1 were prepared and hardened by flocculation. Results and Discussion: The mobile ZnS(Ag)/PVT array could discriminate gross alpha, gross beta, and gamma radiation by the different pulse-shaped signal features of each sensor material. If the array is deployed on a vehicle, the scan minimum detectable concentration (MDC) range will be about 0.11-0.17 Bq·g^-1 at 18 km·h^-1 speed, highly sensitive to actual sites. The handheld PVT rod with 12 mm (Φ) × 20 mm (H) size can directly measure ⁹⁰Sr selectively if channels on which energies are from 1,470 and 2,279 keV are gated, minimizing crossdetection of other radionuclides. These methods were verified by measuring soil samples fabricated with homogeneous ⁹⁰Sr concentrations, showing static MDC of 2.16 Bq·g^-1 at a measurement time of 300 seconds. Conclusion: Based on the results, comprehensive procedures using these detectors are suggested to optimize soil sites survey.

• Korean Journal of Veterinary Service
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• v.24 no.3
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• pp.263-270
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• 2001

In order to survey the prevalence of parasites in soil from playground in a detached dwelling area, 162 samples were taken from playground 54 unit. The survey was carried out during 3 months from july in 2000 to september in 2000. The results were obtained as follows : 1. Eggs of Toxocara canis were detected in 30 samples (18.5％) from 162 cases of playground. 2. The 3 kinds of eggs were isolated from the soil of playground. Those were Stronglyoides spp 23.5%, Toxocara canis 18.5% and Trichuris vulpis 4.3%. 3. It was mixed infestation such as single (74.5%), double (23.7%) and triple(1.6%).

• Korean Journal of Veterinary Service
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• v.23 no.1
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• pp.29-37
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• 2000

In order to survey the prevalence of parasites in soil from playground in a housing development testate, 368 samples were taken from playground 184 unit. The survey was carried out during 2 months from september in 1999 to October in 1999. The results were obtained as follows; 1. Eggs of toxocara canis were detected in 25 samples(6.8%) from 368 cases of playground. 2. The 3 kinds of eggs were isolated from the soil of playground. Those were strongyloides spp 13.9%, toxocara canis 6.8% and toxascaris leonina 2.4%. 3. It was mixed infestation such as single (80.0%) and double (20.0%).

• Journal of Korean Society of Forest Science
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• v.112 no.3
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• pp.340-351
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• 2023

Landslides are major natural geological hazards that cause enormous property damage and human casualties annually. The vulnerability of mountainous areas to landslides is further exacerbated by the impacts of climate change. Soil depth is a crucial parameter in landslide and debris flow analysis, and plays an important role in the evaluation of watershed hydrological processes that affect slope stability. An accurate method of estimating soil depth is to directly investigate the soil strata in the field. However, this requires significant amounts of time and money; thus, numerous models for predicting soil depth have been proposed. However, they still have limitations in terms of practicality and accuracy. In this study, 71 seismic survey results were collected from domestic mountainous areas to estimate soil depth on hill slopes. Soil depth was estimated on the basis of a shear wave velocity of 700 m/s, and a database was established for slope angle, elevation, and soil depth. Consequently, the statistical characteristics of soil depth were analyzed, and the correlations between slope angle and soil depth, and between elevation and soil depth were investigated. Moreover, various soil depth prediction models based on slope angle were investigated, and corrected linear and exponential soil depth prediction models were proposed.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.172-172
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• 2020

In recent years, soil erosion has come to be regarded as an essential environmental problem in human life. Soil erosion causes various on- and off-site problems such as ecosystem destruction, decreased agricultural productivity, increased riverbed deposition, and deterioration of water quality in streams. To solve these problems caused by soil erosion, it is necessary to quantify where, when, how much soil erosion occurs. Empirical erosion models such as the Universal Soil Loss Equation (USLE) family models have been widely used to make spatially distributed soil erosion vulnerability maps. Even if the models detect vulnerable sites relatively well by utilizing big data related to climate, geography, geology, land use, etc. within study domains, they do not adequately describe the physical process of soil erosion on the ground surface caused by rainfall or overland flow. In other words, such models remain powerful tools to distinguish erosion-prone areas at the macro scale but physics-based models are necessary to better analyze soil erosion and deposition and eroded particle transport. In this study, the physics-based Surface Soil Erosion Model (SSEM) was upgraded based on field survey information to produce sediment yield at the watershed scale. The modified model (hereafter MoSE) adopted new algorithms on rainfall kinematic energy and surface flow transport capacity to simulate soil erosion more reliably. For model validation, we applied the model to the Doam dam watershed in Gangwon-do and compared the simulation results with the USLE outputs. The results showed that the revised physics-based soil erosion model provided more improved and reliable simulation results than the USLE in terms of the spatial distribution of soil erosion and deposition.

• The Korean Journal of Pesticide Science
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• v.14 no.3
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• pp.303-307
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• 2010

The researches with pesticides in soil were divided several categories such as run off from soil surface, adsorption and desorption in soil, leaching through soil, degradation and decomposition studies, fates in soil, monitoring survey and development of analytical procedures and so on. In this paper it was reviewed that the research results published in Korean journals since 1996, in connection with the former review as 'Evaluation on the effects of pesticide residues to agroecosystem in Korea'.

• Journal of the Korean Geophysical Society
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• v.6 no.4
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• pp.245-259
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• 2003

Two multichannel analysis of surface wave (MASW) surveys were conducted over a soil site in Tacoma Water's Green River Facility, Washington, where construction of a chemical treatment facility had been planned. The purpose of the surveys was to compare soil stiffness characterized by shear-velocity (Vs) distribution before and after Deep Dynamic Compaction (DDC) operation that was designed to improve the soil stiffness. Site soil consisted of very heterogeneous gravel and cobbles in a sand-and-silt matrix. Results from each survey are represented by two 2-D Vs maps delineating Vs variation of soil below the surveyed lines. One map was constructed from those dispersion curves that were analyzed with a significant amount of subjective judgment involved, whereas the other map was constructed from those dispersion curves analyzed with as much objective information as possible. Comparison of 2-D Vs maps indicates that Vs actually decreased after the DDC operations, possibly due to the loss (or reduction) of cohesive bonding between soil particles caused by the compaction operations.

• Spatial Information Research
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• v.10 no.4
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• pp.533-550
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• 2002

Soil organic matter (SOM) content and other physical soil properties were extracted from a digital soil database, the Soil Survey Geographic (SSURGO) database, to map the amount of SOM and determine its relationship with topographic positions in floodplain areas along a river basin in Douglas County, Kansas. In the floodplains, results showed that slope and SOM content had a significant negative relationship. Soils near river channels were deep and nearly level, and they had the greatest SOM content in the floodplain areas. For the whole county, SOM content was influenced primarily by soil depth and percent SOM by weight. Among different slope areas, soils on mid-range slopes (10-15%) and ridgetops had the highest SOM content because they had relatively high percent SOM content by weight and very deep soils, respectively. SOM content was also significantly variable among different land cover types. Forest/woodland had significantly higher SOM content than others, followed by cropland, grassland, and urban areas.