• Title/Summary/Keyword: Contamination source estimation

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An Estimation of Contamination Degree using the Statistical Analysis between Contamination and Climatic Data (오손도와 기상 데이터의 통계적 분석을 이용한 오손도 예측)

  • 심규일;김호수;김주한;박흥석;한상옥
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.18 no.1
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    • pp.73-77
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    • 2004
  • The accumulation of salt contamination could be the source of electrical accident. The degree of contamination on outdoor insulator is represented by ESDD(equivalent salt deposit density). The salt is transported by the wind to the outdoor insulator and cleaned by the rain. So, we can estimate the relation between climatic data and ESDD by using the multiple regression method. The results of pre-study presented the high relation coefficient(0.874). But these results couldn't apply to another period So, this paper improves above problem by mathematical process of climatic data The main method is accumulation of passed climatic data and conversion of the rainfall by the wind. Then, we confirmed the increasement of relation coefficient(0.898).

Simulation of the Route of 4-Nitrophenol in the Geumho River and Analysis of the Impact of Potential Contamination Sources using a Numerical Model (수치모형을 이용한 금호강 수계 내 4-Nitrophenol의 거동 모의 및 잠재 오염원의 영향 분석)

  • Park, Kyeong-Deok;Shin, Dong-Seok;Yang, Duk-Seok;Lee, Injung;Lim, Young-Kyong;Kim, Il-Kyu
    • Journal of Environmental Science International
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    • v.26 no.2
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    • pp.211-220
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    • 2017
  • For areas with the diverse contamination sources, the change of 4-nitrophenol contamination and impact of potential contamination sources have been evaluated using monitoring data and a numerical model (HydroGeoSphere). The model considered several parameters including land cover, precipitation, and flow rate. And, the model has been performed to investigate the effect of decay rate of 4-nitrophenol. The results of the simulations showed that the influence on 4-nitrophenol in downstream was mainly greater than that in upstream, and the tributaries did not significantly affect the mainstream because of their low flow rates. In addition, the effect of contamination sources was simulated for each section, then the measured data were higher than the corresponding simulated data in most sections of the Geumho river. In particular, the impact of the potential contamination sources in the upstream area was much higher than that in the other area, thus more monitoring data for the upstream area is required.

Investigation on the petroleum contamination by using Rn-222 tracer (라돈 추적자를 이용한 유류오염에 대한 연구)

  • Yoon, Yoon-Yeol;Koh, Dong-Chan;Lee, Kil-Yong;Cho, Soo-Young;Ko, Kyung-Seok
    • Analytical Science and Technology
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    • v.25 no.1
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    • pp.14-18
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    • 2012
  • Rn-222 was used as a natural radioactive isotope tracer to evaluate non-aqueous phase liquid(NAPL) contaminated soil and aquifer. In the case of soil sample, Rn-222 concentration was inversely decreased with diesel concentration in the granite soil sample and it was decreased about 30% at the 13% diesel contaminated soil. For evaluating trichloroethylene (TCE) contaminated aquifer, the natural radioisotope Rn-222 was used as naturally occurring partitioning tracer for the approximate localization and semiquantitative assessment of the TCE source zone. Rn-222 was analyzed for the estimation of TCE contamination ranges of the acquifer in the contaminated site at Wonju in Korea.

Estimation of Optimal Size of the Treatment Facility for Nonpoint Source Pollution due to Watershed Development (비점오염원의 정량화방안에 따른 적정 설계용량결정)

  • Kim, Jin-Kwan
    • Journal of the Korean Society of Hazard Mitigation
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    • v.8 no.6
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    • pp.149-153
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    • 2008
  • The pollutant capacity occurred before and after the development of a watershed should be quantitatively estimated and controlled for the minimization of water contamination. The Ministry of Environment suggested a guideline for the legal management of nonpoint source from 2006. However, the rational method for the determination of treatment capacity from nonpoint source proposed in the guideline has the problem in the field application because it does not reflect the project based cases and overestimates the pollutant load to be reduced. So, we perform the standard rainfall analysis by analytical probabilistic method for the estimation of an additional pollutant load occurred by a project and suggest a methodology for the estimation of contaminant capacity instead of a simple rational method. The suggested methodology in this study could determine the reasonable capacity and efficiency of a treatment facility through the estimation of pollutant load from nonpoint source and from this we can manage the watershed appropriately. We applied a suggested methodology to the projects of housing land development and a dam construction in the watersheds. When we determine the treatment capacity by a rational method without consideration of the types of projects we should treat the 90% of pollutant capacity occurred by the development and to do so, about 30% of the total cost for the development should be invested for the treatment facility. This requires too big cost and is not realistic. If we use the suggested method the target pollutant capacity to be reduced will be 10 to 30% of the capacity occurred by the development and about 5 to 10% of the total cost can be used. The control of nonpoint source must be performed for the water resources management. However it is not possible to treat the 90% of pollutant load occurred by the development. The proper pollutant capacity from nonpoint source should be estimated and controlled based on various project types and in reality, this is very important for the watershed management. Therefore the results of this study might be more reasonable than the rational method proposed in the Ministry of Environment.

Water distribution system contamination source estimation based on trace analysis (Trace Analysis 기능을 활용한 상수도 관망 내 오염물 유입 지점 추정)

  • Shin, Geumchae;Lee, Seungyub
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.184-184
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    • 2022
  • 지난 2019년 인천시, 서울시 문래동, 포항시 등에서 발생한 수질사고로 인해 국민의 상수도에 대한 신뢰도가 최악의 상황에 있으며, 이후로도 깔따구 유충이 발견되는 등 상수도 관망 내 체계적인 수질 관리 및 빠르고 정확한 수질 사고 발생 지점의 추정이 중요해 지고 있는 실정이다. 오염물 유입 추정은 수리학적 사고로 고려되는 누수와는 달리 상대적으로 그 지점 추정이 어렵다. 대게의 경우 수리해석을 진행하여 유량과 유향을 파악한 뒤 계측 지점에서부터 동일 시간대로 역으로 흐름을 거슬러 올라가며 확률상 높은 지점을 추정하는 것이 일반적인 방법이다. 본 연구에서는 범용 수리해석 프로그램인 EPANET2.2에 내장된 Trace Analysis (이후 trace 분석) 옵션을 사용한 오염물 유입 지점 추정 방법론을 소개한다. 본 연구에서는 방법론의 검증을 위해 오염물 유입지점은 한 곳으로 가정하였다. 해당 방법론은 먼저 절점별 trace 분석을 실시하여 모든 지점에서 수질 관측 지점까지 물이 도달하는데 소요되는 시간을 산정한다. 해당 시간과 오염물 관측 데이터와의 비교를 통해 유입 확률이 높은 지점을 추출한다. 이를 위해 실측 데이터가 필요하며, 결과는 지점별 확률로 나타난다. 모의 결과 1개의 수질 관측 지점으로도 개략적인 지점을 선정할 수 있는 것으로 나타났다. 다만, 수질 관측 지점의 수에 따라 분석 결과의 정확도가 향상한다. 마지막으로 유입 지점 추정 확률이 낮은 경우, 유입 지점 추정 확률을 향상시킬 수 있는 추가 수질 분석 지점을 결정하였다. 본 연구에서 소개한 방법론은 향후 수질 사고 발생 시 최초 확산 방지를 위한 격리 지점 선정에 근거를 제시할 수 있을 것으로 기대하며, 나아가 수질 관측 지점을 결정 및 대응 방안 수립 가이드라인으로 활용할 수 있을 것이다.

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Estimation of Nitrate-nitrogen Contamination Sources in Cheju Island Groundwater using $\delta$$^{15}$ N Values ($\delta$$^{15}$ N값을 이용한 제주도 지하수중의 질산성질소 오염원추정에 관한 연구)

  • 오윤근;현익현
    • Journal of the Korean Society of Groundwater Environment
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    • v.4 no.1
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    • pp.1-4
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    • 1997
  • This study was carried out to find out the source of nitrate-nitrogen (NO$_3$-N) contamination in the groundwater in Cheju Island. Among the sites which have exceeded or may exceed the criterion level (10 mg/L) of NO$_3$-N in drinking water, seven sampling sites including two reference sites were chosen. The former regions are mainly agricultural ones (A-1 to A-6) and residential (R). The latter regions are forest (F-1 and F-2). The predicted major source and its contribution to NO$_3$-N concentration at each site, using $\delta$$\^$15/N and NO$_3$-N concentration, were as follow; Those at A-1, R and F-1 was 61.1%, 50.0% and 20.0% to manure or domestic sewage, 27.8%, 45.7% and 40.0% to chemical fertilizers and 11.1%, 4.3% and 40.0% to natural soil, respectively. Those at A-2 to A-6 were 37.8%, 25.0%, 40.9%, 26.2% and 35.7% to manure or domestic sewage, 59.6%, 71.7%, 53.0%, 71.5% and 60.2% to chemical fertilizers and 2.6%, 3.3%, 6.1%, 2.3% and 4.1% to natural soil, respectively.

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Estimation and Characteristics of Atmospheric Deposition Flux of Polycyclic Aromatic Hydrocarbons (PAHs) into the Masan and Haengam Areas of Korea (마산과 행암 지역으로 유입되는 다환방향족탄화수소(PAHs)의 대기 침적 플럭스 산정과 특성)

  • Lee Su-Jeong;Moon Hyo-Bang;Choi Min-kyu
    • Journal of Environmental Science International
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    • v.15 no.2
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    • pp.121-131
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    • 2006
  • Atmospheric bulk (wet and dry) samples were monthly collected in Masan and Heangam areas of Korea, to assess the deposition flux and seasonal variation of polycyclic aromatic hydrocarbons (PAHs). Deposition fluxes of PAHs in bulk samples were determined using gas chromatography coupled to mass spectrometer detector (GC/MSD). Particle deposition fluxes from Masan and Haengam areas varied from 13 to $87\;g/m^2/year$ and from 5 to $52\;g/m^2/year$, respectively. PAHs deposition fluxes in atmospheric bulk samples in Masan and Haengam areas ranged from 135 to $464\;{\mu}g/m^2/year$ and from 62.2 to $194\;{\mu}g/m^2/year$, respectively. Atmospheric deposition fluxes of particles and PAHs in this study were comparable to or slightly lower values than those from different locations in Korea and other countries. PAHs profiles of atmospheric deposition bulk samples showed slightly different from two sampling areas, however the predominant species of PAHs were similar. Indeno (1,2,3-c,d)pyrene, benzo(g,h,i)perylene, phenanthrene compounds were the most detected PAHs in deposition bulk samples. Carcinogenic PAHs occupied the contribution of approximately $30-40\%$ of the total PAHs deposition fluxes. The non-metric multi-dimensional scaling (MDS) was used, to assess the differentiation of PAHs source between two sampling areas. The result suggests that PAHs contamination sources were different according to the location and season surveyed. There was no an apparent relationship between the PAHs deposition flux against temperature and rainfall amount, even though summer season with the highest temperature and the largest amount of precipitation showed the lowest PAHs deposition flux. Benzo(e)pyrene/benzo(a)pyrene ratio indicated that the photo-degradation process was one of important factors to the seasonal variation of PAHs with the lower deposition fluxes.

Level and Fate of Arsenic(As) in the Namdae Stream (강릉 남대천 수계의 비소(As) 농도 분포 및 거동특성 연구)

  • Yoon, Yi-Yong;Kim, Kyung-Tae
    • Journal of Korean Society of Environmental Engineers
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    • v.22 no.1
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    • pp.149-157
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    • 2000
  • This paper presents the first results of dissolved arsenic in the Kangnung Namdae stream. The distribution of As concentrations measured in 28 August (high water flow) and in 21 November 1997 (low water flow) differs from those of other metals measured during the same period; The concentrations of Doam-dam are lower than those of Obong-dam and accumulation in the downstream in the period of low water flow is not pronounced. The As concentration in the downstream under the low water flow is lower than under high water flow, reciprocally to other metals. Freshwater concentrations are comparable with those measured in pristine river and lower than the world average and the diffrence of concentrations measured during two period is minute. Therefore, the As concentrations in the Namdae stream are background level and the source of As contamination does not exist. In the mixing zone between the freshwater and Donghae seawater, As behave conservatively, indicating the absence of any significant removal or mobilization processes. A first estimation of total dissolved As input from Namdae stream to Donghae coastal sea shows 65.12 kg/yr.

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Estimation of Nitrate Sources in Cheju Island Groundwater using $\delta$$^{15}$ N ($\delta$$^{15}$ N을 이용한 제주도 지하수 중의 질산염 오염원 조사)

  • 송영철;고용구;유장걸
    • Journal of the Korean Society of Groundwater Environment
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    • v.6 no.3
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    • pp.107-110
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    • 1999
  • 18 boreholes with nitrate contaminated were selected. Samples were collected 4 times between both 1995 and 1996. Stable nitrogen isotope ratio for them all was measured and the contribution to contamination from several sources like fertilizer, sewage, cropland. and landfill was analysed. Nitrogen source for 11 sampling sites of T-3, L-1. O-1∼O-4, F-2∼F-5, and G-2 considered to come from chemical fertilizer and its contribution was around 60% or more. T-4. T-5 were located downward the downtown, which were influenced bydomestic sewage and its contribution were 70.7% and 54.7%. Nitrate concentration of G-2 was 17.7 mg/L, among which 60.7% was estimated to come from landfill leachate. T-1 and T-2 were located in the small village, in which 42.2 and 43.4% of nitrogen was to come from domestic sewage but 52.8% and 56.0% were from fertilizer sprayed in the cropland. L-2 was near livestock by which it was estimated to be influenced, in which 59.9% of nitrogen was from cropland. F-1 was in the cropland, by which 50.0% was influenced and 49.5% was estimated from organic matter of animals.

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