• Journal of Soil and Groundwater Environment
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• v.19 no.3
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• pp.82-93
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• 2014

A starch ball was devised to conveniently supply carbon source to indigenous microorganisms and to enhance biotransformation of explosive compounds(TNT and RDX) in the sediments of settling basins installed in military shooting ranges. To identify optimum dose/sediment ratio for degradation of explosives in the basin, a series of bench scale settling basin experiments were performed for 30 days while monitoring supernatant pH, DO, concentrations of nitrite, nitrate, sulfate, explosive compounds, and acute toxicity measured by bacterial luminescence. Addition of starch ball induced changes in oxidation conditions from oxic to anoxic in the benthic zone of the basin, which resulted in subsequent reductive degradation of both TNT and RDX in the liquid and solid phase of basin. However, fermentation products of excess starch, acetic acid and formic acid, caused acute toxicity in the liquid phase. The optimum ratio of starch ball/sediment for explosive compounds degradation by inducing changes in bio-geochemical environments without increase in acute toxicity, was found to be 0.009~0.017.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.335-335
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• 2011

토양유실은 농업환경지표를 비롯한 국제 규범에서 농업에 의한 환경오염의 핵심문제로 제기되고 있다. 이러한 토양유실의 문제점을 해결하기 위해 USLE를 기반으로 한 SATEEC모형을 사용하여 토양유실량 및 유사량을 산정하였다. SATEEC모형은 USLE입력자료와 DEM을 이용하여 산정된 토양유실량 과 GA-SDR모듈을 통해 산정된 유달률(Sediment Delivery Ratio, SDR)을 통하여 최종유출구에서의 유사량을 산정한다. 많은 연구자들은 최종유출구에서의 유사량을 실측유사량과 비교하여 비슷하게 모의되면 유역의 특성을 잘 반영한다고 판단하므로 SATEEC모형의 단점인 토양유실량이 과하게 산정되는 문제점을 중요하게 생각하지 않는다. 하지만 SATEEC 모형의 결과값인 유사량의 신뢰도를 향상시키기 위해서는 토양유실량 검증을 통한 정확한 입력자료 구축이 필요하다. 따라서 본 연구에서는 여러개의 토양유실량 시나리오를 만들어 이에 따른 SATEEC 모형의 유사량을 비교/평가하고, 이를 이용하여 토양유실량의 검증이 필요함을 제시하고자 한다. 본 연구에서 사용한 토양유실량 시나리오는 총 4개로써, 시나리오 1은 SATEEC모형을 이용하여 산정된 토양유실량이며, 시나리오2~4는 ArcGIS를 사용하여 기존의 토양유실량 값에 ${\pm}0.25$의 범위를 주어 새롭게 산정된 토양유실량으로 SATEEC모형을 이용한 유사량 산정시 입력자료로 활용하였다. 그 결과 SATEEC모형을 이용하여 산정된 토양유실량은 시나리오별로 차이를 보였다. 또한 SATEEC GA-SDR모듈을 통해 예측된 토양유실량 값과 실측유사량을 이용하여 유달률을 산정하였으며 유달률도 토양유실량 시나리오별로 차이를 보였다. 따라서 SATEEC모형을 이용하여 최종유출구에서의 유사량 산정 결과 토양유실량의 차이에도 불구하고 유사량은 거의 비슷한 값을 나타내고 있으며, 최종유출구에서의 모의된 예측 유사량이 실측유사량과 비교 시 R2=0.688, EI=0.643 정도로 실측유사량과 비슷한 경향을 나타냈다. 따라서 SATEEC모형을 이용하여 유사량 산정시 먼저 문헌을 통한 토양유실량 검증이 필요하리라 판단되며, 문헌을 통해 토양유실량 검증 후 정확한 입력자료를 구축하여 유역에서의 유사량 저감을 위한 최적관리 기법 분석에 사용할 수 있도록 프로세서를 구축해야 할 것이라 판단된다.

• Journal of Soil and Groundwater Environment
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• v.16 no.6
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• pp.79-94
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• 2011

Black carbon (BC), a kind of high surface area carbonaceous material (HSACM), was isolated from Andong lake sediment. Sorption and desorption kinetics of naphthalene (Naph) and phenanthrene (Phen) in organic carbon (OC) and BC in the Andong lake sediment were investigated. Several kinetic models such as one-site mass transfer model (OSMTM), two-compartment first-order kinetic model (TCFOKM), and a newly proposed modified two-compartment first-order kinetic model (MTCFOKM) were used to describe the sorption and desorption kinetics. The MTCFOKM was the best fitting model. The MTCFOKM for sorption kinetics showed that i) the sorbed amounts of PAHs onto BC were higher than those onto OC, consistent with BET surface area; ii) the equilibration time for sorption onto BC was longer than those onto OC due to smaller size of micropore ($11.67{\AA}$) of BC than OC ($38.18{\AA}$); iii) initial sorption velocity of BC was higher than OC; and iv) the slow sorption velocity in BC caused the later equilibrium time than OC even though the fast sorption velocity was early completed in both BC and OC. The MTCFOKM also described the desorption of PAHs from the OC and BC well. After desorption, the remaining fractions of PAHs in BC were higher than those in OC due to stronger PAHs-BC binding. The remaining fractions increased with aging for both BC and OC.

• Journal of Soil and Groundwater Environment
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• v.24 no.4
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• pp.1-10
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• 2019

Recently, groundwater contamination by mixed occurrence of arsenic (As) and nitrate ($NO_3{^-}$) has been a serious environmental issue all around world. In this study, we investigated the microbial As(III) oxidation characteristic under denitrification process to examine the feasibility of the microbial consortia in wetland sediment to simultaneously treat these two contaminants. The detail objectives of this study were to investigate the effects of $NO_3{^-}$ on the oxidation of As(III) in anaerobic environments and observe the microbial community change during the As oxidation under denitrification process. Results showed that the As(III) was completely and simultaneously oxidized to As(V) under denitrification process, however, it occurred to a much less extent in the absence of sediment or $NO_3{^-}$. In addition, the significant increase of As(III) oxidation rate in the presence of $NO_3{^-}$ suggested the potential of As oxidation under denitrification by indigenous microorganisms in wetland sediment. Genera Pseudogulbenkiania, and Flavisolibacter were identified as predominant microbial species driving the redox process. Conclusively, this study can provide useful information on As(III) oxidation under denitrifying environment and contribute to develop an effective technology for simultaneous removal of As(III) and $NO_3{^-}$ in groundwater.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.80-80
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• 2022

본 연구는 한강유역 (35,770 km²)을 대상으로 RUSLE (Revised Universal Soil Loss Equation)과 WATEM/SEDEM (The Water and Tillage Erosion Model and Sediment Delivery Model)의 유사이동식을 활용하여 인간활동과 기후변화로 인한 유사량을 평가하였다. 대상유역에 영향을 주는 16곳의 기상관측소에서 제공하는 분 단위 누적강수량 (2000-2019), 농촌진흥청 토양도, 국토지리정보원 DEM (Digital Elevation Model), 환경공간정보서비스 (EGIS) 2020년 세분류 토지이용도를 활용하여 RUSLE과 WATEM/SEDEM 유사이동식에 필요한 강우침식인자(R), 토양침식인자 (K), 지형인자 (L·S), 식생피복인자 (C), 그리고 보전관리인자 (P)를 구축하였으며, SWAT (Soil and Water Assessment Tool)으로 모의한 표준유역 단위 연도별(2000-2019) 유사량 결과를 기준으로 WATEM/SEDEM 유사량 계수 (KTC)를 검·보정하였다. 토양침식 산정 입력자료 중 강우량으로 산정하는 강우침식인자는 기후변화를 보여주는 인자, 토지피복에 따라 다른 식생피복인자와 보전관리인자는 인간활동을 나타내는 인자로 설정하였다. 강우침식인자는 2010년대 평균값을 활용하여 현재의 유사량을 평가하였으며, 분 단위 자료가 없는 과거의 경우 직접적인 계산에 어려움이 있어, 연평균 강수량과의 관계로 추정한 1980년대 평균값을 활용하여 기후변화로 인한 영향을 평가하였다. 식생피복인자와 보전관리인자는 1980년대 토지이용도를 활용하여 산정한 결과로 인간활동에 의한 유사량 평가에 사용되었다. 대상유역의 유사량은 RUSLE 모형의 토양침식량과 WATEM/SEDEM 유사이동량을 mass balance로 분석하며, 다른 인자들은 고정한 상태로 과거 강우침식인자, 식생피복인자와 보전관리인자를 적용하여 인간활동과 기후변화로 인한 유사량 변화를 분석하고자 한다.

• Journal of Nuclear Fuel Cycle and Waste Technology(JNFCWT)
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• v.17 no.1
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• pp.1-13
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• 2019

The accident at the Fukushima Dai-ichi Nuclear Power Plant (FDNPP) resulted in the deposition of large quantities of radionuclides over parts of eastern Japan. Radioactive contaminants have been observed over a large area including forests, cities, rivers and lakes. Due to the strong adsorption of radioactive cesium by soil particles, radioactive cesium migrates with the eroded soil, follows the surface flow paths, and is delivered downstream of population-rich regions and eventually to coastal areas. In this study, we developed a model to simulate the transport of contaminated sediment in a watershed hydrological system and this model was compared with observation data from eroded soil observation instruments located at the Korea Atomic Energy Research Institute. Two methods were applied to analyze the soil particle size distribution of the collected soil samples, including standardized sieve analysis and image analysis methods. Numerical models were developed to simulate the movement of soil along with actual rainfall considering initial saturation, rainfall infiltration, multilayer and rain splash. In the 2019 study, a numerical model will be used to add rainfall shield effect by trees, evaporation effect and shield effects of surface water. An eroded soil observation instrument has been installed near the Wolsong nuclear power plant since 2018 and observation data are being continuously collected. Based on these observations data, we will develop the numerical model to analyze long-term behavior of radionuclides on land as they move from land to rivers, lakes and coastal areas.

• Journal of the Korean GEO-environmental Society
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• v.18 no.1
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• pp.37-47
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• 2017

The Mekong River plays an extremely important role in Southeast Asia. Flowing through six countries, including China, Myanmar, Thailand, Laos PDR, Cambodia, and Vietnam, it is a site of great biological and ecological diversity and the habitat of numerous species of fish. It also supports a very large population that lives along the river basin. Therefore, much attention has been focused on the giant Mekong River Basin, particularly, its soil erosion and sedimentation problems. In fact, many methods have been used to calculate and simulate these problems. However, in the case of the Mekong River Basin, the available data is limited because of the extreme size of the area (about $795,000km^2$) and lack of equipment systems in the countries through which the Mekong River flows. In this study, we applied the Universal Soil Loss Equation (USLE) model in a GIS (Geographic Information System) framework to calculate the amount of soil erosion and sediment load during the selected period, from 1951 to 2007. The result points out dangerous areas, such as the Upper Mekong River Basin and 3S Basin (containing the Sekong, Sesan, and Srepok Rivers) that are suffering the serious consequences of soil erosion problems. Moreover, the present model is also useful for supporting river basin management in the implementation of sustainable management practices in the Mekong River Basin and other basins.

• Journal of Korean Society on Water Environment
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• v.29 no.5
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• pp.681-690
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• 2013

Watershed models have been increasingly used to support an integrated management of land and water, non-point source pollutants, and implement total daily maximum load policy. However, these models demand a great amount of input data, process parameters, a proper calibration, and sometimes result in significant uncertainty in the simulation results. For this reason, uncertainty analysis is necessary to minimize the risk in the use of the models for an important decision making. The objectives of this study were to evaluate three different uncertainty analysis algorithms (SUFI-2: Sequential Uncertainty Fitting-Ver.2, GLUE: Generalized Likelihood Uncertainty Estimation, ParaSol: Parameter Solution) that used to analyze the sensitivity of the SWAT(Soil and Water Assessment Tool) parameters and auto-calibration in a watershed, evaluate the uncertainties on the simulations of runoff and sediment load, and suggest alternatives to reduce the uncertainty. The results confirmed that the parameters which are most sensitive to runoff and sediment simulations were consistent in three algorithms although the order of importance is slightly different. In addition, there was no significant difference in the performance of auto-calibration results for runoff simulations. On the other hand, sediment calibration results showed less modeling efficiency compared to runoff simulations, which is probably due to the lack of measurement data. It is obvious that the parameter uncertainty in the sediment simulation is much grater than that in the runoff simulation. To decrease the uncertainty of SWAT simulations, it is recommended to estimate feasible ranges of model parameters, and obtain sufficient and reliable measurement data for the study site.

• Journal of the Korean Society of Hazard Mitigation
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• v.9 no.6
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• pp.111-117
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• 2009

The RUSLE(Revised Universal Soil Loss Equation) has been most widely used to estimate sediment yield in Korea. However RUSLE factors have not been verified based on measured data of sediment yield. The analysis of characteristics for the rainfall erosivity factor R was performed in this study. The R factor of RUSLE is expressed as multiple of total rainfall energy and maximum 30 min rainfall intensity. In this study, the characteristics of 10 rainfall energy equations were investigated using data measured in Gangneung experimental watershed, and applicability of each equations was reviewed based on results of the correlation analysis between measured sediment yield and total rainfall, between measured sediment yield and maximum intensity, and between measured sediment yield and total rainfall energy yield. Also, the relationship of I30 and I60 was proposed using 10-min rainfall data during 9 years.

• Journal of Korea Water Resources Association
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• v.53 no.12
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• pp.1109-1117
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• 2020

In this study, results of RUSLE which is most popular equation for estimating sediment and MSDPM and LADMP have been compared and analyzed by applying to real watershed of mountain area. Crop factor (C), preservation factor (P), and soil erosion factor (VM) of RUSLE can be subjectively selected and differently applied. Therefore, effects of those factors were estimated and compared with different values of factors. Furthermore, sediment yield has been estimated by MSDPM and LADMP according to 10, 20, 30, 50, 100, and 200 year return period. From the results, it was found that sediment yield can be resulted with 400% diffrence. And it was also found that MSDPM and LADMP can be applied in mountain area of Korea.