• Proceedings of the Korean Society of Food Hygiene and Safety Conference
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• 1998.04a
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• pp.55-65
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• 1998

• Life and Agrochemicals
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• v.26 no.6 s.209
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• pp.22-24
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• 2005

• The Korean Journal of Pesticide Science
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• v.16 no.4
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• pp.391-394
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• 2012

Exposure and risk assessment during mixing/loading of chlorpyrifos emulsifiable concentrate (EC, 20%) were carried out. Limit of detection and limit of quantitation were 0.02 and 0.1 ng, respectively. Calibration curve linearity and reproducibility were excellent. Recovery of chlorpyrifos from gloves was 72.3-103.4%. During mixing/loading procedure, average hand exposure amount of chlorpyrifos was 3.9 mg which is corresponding to 0.004% of total active ingredient in the prepared spray mixture. In calculation of MOS (Margin of Safety) for risk assessment, male Korean average body weight and AOEL (Acceptable Operator Exposure Level) were used. Nine events of mixing/loading procedure were assumed per day. And 75 percentile of 30 repetition (4.6 mg) was used as for the worst case. MOS was more than 1 for total repetition, indicating mixing/loading work was of least risk. However, MOS of individual repetition was examined, two cases were less than 1 suggesting careful work habit is essential in mixing/loading procedure.

• Journal of Wetlands Research
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• v.16 no.3
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• pp.441-450
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• 2014

In this study, we consider ability of self-purification for a rational water quality management. And we assess the risk of Alkyl Benzene Sulfonic acid sodium salt(ABS) of harmful ingredients in Anseong Cheon watershed using QUAL2E model. The observations and simulated results were fitted well for BOD and ABS, but even though the trend of DO concentration change was well represented, the error between observation and simulation values was existed. We assessed the Risk assessment by calculating Risk quotient(RQ) by Predicted Exposure Concentration(PEC) and Predicted No-Effect Concentration(PNEC). Results of the impact of ABS on the self-purification of the river were Anseongcheon[0.0003(Bressan), 0.06(Criteria of Ministry of environment)], Jinwicheon[0.0002(Bressan), 0.04(Criteria of Ministry of environment). And result of the impact of ABS on the Aquatic ecosystem of the river were Anseongcheon[0.0667(Bressan), 0.005(Criteria of Ministry of environment)], Jinwicheon[0.1(Bressan), 0.0075(Criteria of Ministry of environment). All of these results were smaller than the 1.0 which is the reference value suggested by Norification No.30 of the National Institute of Environment Research. So, ABS did not affect a self-purification and aquatic ecosystem of the river. The method suggested in the study is a simple one and can provide more information for harmful ingredients than criteria of Ministry of environment.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.147-147
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• 2015

전 세계적으로 이상기후로 인한 극한가뭄 및 이상홍수 등의 피해 발생이 확인되고 있으며 그 발생빈도 또한 급격히 증가하고 있다. 그러나 기존의 빈도해석은 시간의 변화에 따라 자료의 통계적 특성이 변하지 않는다는 정상성(stationarity)을 기본 가정으로 수행되기 때문에 극한 사상에 경향성이 있는 경우에 적용하기엔 한계가 있다. 비정상성 빈도해석을 위해 개발된 비정상성 확률 분포 모형들은 대부분 매개변수에 시간항을 포함하는 형태로 정의된다. 이중에서도 우리나라에 널리 사용되고 있는 Gumbel 모형에 대해 살펴보면, 비정상성 Gumbel 모형의 위치 및 규모 매개변수는 시간에 대해 선형(linear) 및 지수(exponential) 함수의 관계를 보이는 형태로 가정한다. 규모 매개변수의 지수함수의 형태는 음(-)의 값이 추정되는 것을 방지하기 위해 제안되어 널리 사용되고 있으나 이로 인해 확률수문량이 과다산정되는 문제가 발생하기도 한다. 본 연구에서는 이러한 문제를 해결하기 위해 비정상성 Gumbel 모형을 대상으로 규모 매개변수의 다양한 형태를 비교하고자 한다. 이를 위해 비정상성 Gumbel 모형 규모 매개변수를 지수함수, 선형, 로그, 로지스틱 형태로 가정하여 비교하였다. 각 모형의 매개변수의 추정은 최우도법을 적용하였으며, 규모 매개변수의 형태별 정확도 비교를 위해 모의실험을 수행하였다.

• Journal of Korean Society of Environmental Engineers
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• v.37 no.11
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• pp.619-630
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• 2015

This study was conducted to propose the methodology of human risk assessment specialized to domestic mine areas and to quantify the human risk of heavy metal (As, Cd, Cu, Pb, and Zn) contamination around two abandoned metal mines. To attain the goals, we established a relevant exposure scenario, including 7 exposure pathways and extracted a variety of exposure factors reflecting the characteristics of inhabitants around abandoned metal mine areas. Finally, carcinogenic and non-carcinogenic risks were compared between two areas, exposure pathways, heavy metal contaminants, and receptors. The total excess carcinogenic risks of two mine areas of concern were calculated to be larger than the acceptable carcinogenic risk ($1{\times}10^{-6}$), indicating those two areas are not safe for carcinogenic hazard. In addition, the hazard indices of two areas were computed to be higher than unit risk (1), suggesting that the areas of concern have non-carcinogenic risk. Ingestion of crop and intake of groundwater were evaluated to be main exposure pathways contributing to carcinogenic and non-carcinogenic risks within the areas. Also, the results show that carcinogenic and non-carcinogenic hazards were mostly attributed to As and As, Cd, and Pb, respectively.

• Proceedings of the Korea Society of Environmental Toocicology Conference
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• 2003.05a
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• pp.164-164
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• 2003

전국 주요 산단 지역에서 현재 유통되고 있는 화학물질의 스크리닝 수준에서의 생태 위해성 평가를 수행하고, 체계적인 위해도 분석 시스템을 구축하기 위한 수생 및 육상 생태계가 통합된 생태 위해성 예측 모형을 개발하였다. 전국 118개 공단 중 시화반월, 전주, 대전, 대구, 청주, 울산, 구미, 여천공단 등 8개 주요 산단 지역을 program 개발을 위한 비교 대상 지역으로 선정하였고 이들 공단에서 사용되고 있는 약 1700여종의 화학물질의 물리 화학적 특성 자료와 생태 독성값의 문헌치, 추정치를 포함한 database를 구축하였다. 구축된 database를 활용하여 산단별, 화학물질별 생태 위해도를 상대적으로 비교한 결과 어류 만성의 위해도는 청주 공단>울산미포>여천 공단의 순이었고, 물벼룩 만성의 위해도는 시화반월>여천>울산미포 공단의 순이었다. 또한 산단별로 위해도 우선순위 물질을 선정하였으며 styrene, xylene 등의 위해도가 높게 나타났다. 이때 화학 물질의 수계 배출량은 TRI 자료와 사용량과의 상관관계로부터 구한 배출 계수를 적용하여 산정하였으며, 선정된 위해도 우선 순위 물질을 대상으로 실제 공단의 하천 시료를 채취, 분석하여 이 모형에 의해 예측된 생태 위해도의 타당성을 검증하고 보완하는 연구를 지속적으로 수행하여 예측 program의 신뢰도를 높이고자 한다.

• 한국어정보학회:학술대회논문집
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• 2017.10a
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• pp.338-339
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• 2017

본 논문은 개체명 인식을 위해 CRF 모델을 이용해 분류를 수행했다. 개체명 후보를 개체명으로 식별에서 중의성 문제가 필요하다. 본 논문에서는 이러한 중의성 문제 해결을 위해 학습 셋으로부터 패턴과 형태적 특성을 고려해 개체명 후보를 최대로 선택하고 선택된 개체명 후보의 중의성과 정확도를 높이기 위해 주변의 문맥 자질과 분별 확률 모델인 CRF를 이용해 중의성 문제를 해결한다.

• Journal of the Mineralogical Society of Korea
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• v.24 no.1
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• pp.43-53
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• 2011

Health risk assessments for the abandoned asbestos mine were usually performed with activity-based sampling (ABS) method, which was not a effective tool for indexing health risk on an exact small area of mine. A newly proposed potential index of health risk (PIHR) was applied with proper spatial determination of geographical information system (GIS) to assess quantitatively health risks. A new trial was applied to a certain abandoned mine in Boryong as follows: A high grade area of PIHR was estimated 7.8% of the whole area of the mine (about 27.3 ha). Based on US EPA IRIS (integrated risk information system) model considering lifetime excess cancer risk (LECR), the health risk assessment indicated that the high grade area increased from 3.0 ha through 12.9 ha to 19.5 ha with an increase of asbestos contents in soil from 0.36% (1E-04 level) through 0.1% (3E-05 level) to 0.04% (1E-05 level). These results can be effectively applied to determine reclamation area of the abandoned asbestos mine.

• Journal of the Mineralogical Society of Korea
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• v.28 no.4
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• pp.309-323
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• 2015

This study was initiated to propose the method for human risk assessment suitable to metal mine area. Using a variety of exposure parameters extracted from the investigation of abandoned metal mines, the proposed method was applied to assess the risk of As and heavy metal contamination for inhabitants (male and female adults and child) within an abandoned mine area. Based on the results of risk assessment, in addition, target remediation concentrations of each media (soil, groundwater, and surface water) were estimated. The results indicate that total carcinogenic risk (TCR) and hazard index (HI) representing carcinogenic and non-carcinogenic risks, respectively, were calculated to exceed the tolerable levels (1.00E-6 and 1) with regard to two exposure pathways (groundwater and crop intakes) and As. Thus, the human risk of study area was evaluated to be significant. Based on the target risk (TR) for carcinogens, the remediation concentrations of soil were computed to be 6.83~6.85 mg/kg and 18.41~18.46 mg/kg for As and Pb, respectively. In terms of target hazard index (THI) for non-carcinogens, the remediation concentrations of soil were calculated to be 17.38 mg/kg for Cu and 9.13 mg/kg for As.