• Title/Summary/Keyword: 경로추적성

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Identification of soil Remedial Goal due to Arsenic in Soil near Abandoned Mine- Approach to Regarding Future Land Use - (폐광산 지역의 비소오염에 대한 복원목표 설정 - 미래 토지용도를 고려한 접근방법 -)

  • 이효민;윤은경;최시내;박송자;황경엽;조성용;김선태
    • Journal of Korea Soil Environment Society
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    • v.3 no.2
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    • pp.13-29
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    • 1998
  • Recently, It is increasing popularity to research on the soil remediation in aspect of management by reason of the hazardous impact on the contaminated soil in Korea. It was investigated high levels of arsenic salts in soil near abandoned five mines(Darak, Daduk, Jingok, Dalsung, Ilkwang) located in Youngnam area. Arsenic, classified as group A(Human Carcinogens) from IRIS, have shown statistically significant increment in skin cancer with oral exposure. This paper was conducted to predict excess cancer risk value (to the skin cancer) based on multiple pathway such as soil ingestion, dermal uptake and food(plant) ingestion contaminated by arsenic, and also, to identify the remedial goal regarded in future land use. The mine having the highest arsenic level was Daduk(mean : 1950mg/kg) and the next rank was Jingok(1690mg/kg), Ilkwang(352.37mg/kg), Dalsung(86.08mg/kg), Darak(0.83mg/kg). The chronic daily intake to the multiple exposure were calculated using Monte-Carlo simulation regarded in future land use and used q: value was $1.5(mg/kg/day)^{-1}$ to the oral proposed by IRIS(1997). The computated excess cancer risk 95th value to all the mine regarding future land use as residential and rural area were more than $10^{-4}$. If the level of acceptable risk is aimed for 1$\times$$10^{-6}$, it could be used Darak as commercial and industrial area without soil remediation due to the lowest risk value(6$\times$$10^{-8}$ and 3$\times$$10^{-8}$). Computated remedial goal based on 1$\times$$10^{-6}$ of acceptable risk to the future land use as the residential, rural, commercial and industrial area were 0.02mg/kg, 0.003mg/kg, 97.31mg/kg and 194.62mg/kg, respectively.

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A Study on the Characteristics of Intentional Self-Poisoning Patients : Comparison between Non-Prescription and Prescription Drugs (일반의약품과 전문의약품 의도적 음독 자살 시도자 특성 분석 연구)

  • Cho, Eulah;Cho, Ji Hyun;Jho, Kyeng Hyeng;Sim, Hyun-Bo
    • Korean Journal of Psychosomatic Medicine
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    • v.28 no.2
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    • pp.116-125
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    • 2020
  • Objectives : Self-poisoning is the leading cause of visits to the emergency departments after a suicide attempts. This study is aimed to compare the patient characteristics according to the category of drugs ingested by the patients who attempted suicide. Methods : All medical charts were retrospectively reviewed from patients who visited the emergency center, at Seoul Medical Center, due to intentional self-poisoning from April of 2011 to July of 2019. We investigated the information regarding the subtype and quantity of the intoxication drug, how it was obtained, suicidal history, and psychiatric history, as well as, sociodemographic information. Variables were compared between prescription drug (PD) and non-prescription drug (NPD) poisoning groups. Results : The mean age of the NPD poisoning group was significantly lower than that of the PD poisoning group. The patient ratio of those enrolled in national health insurance and living with spouses were significantly higher in the NPD poisoning group. Compared to the NPD poisoning group, the PD poisoning group had a higher incidence of mental illnesses, underlying diseases and ratio of involuntary visit to the emergency department. Among the prescription drugs, the benzodiazepine poisoning group had a higher rate of self-prescription than the non-poisoning group, while the zolpidem poisoning group had a higher rate of the using someone else's prescription than other drugs. Each single drug poisoning group (benzodiazepine, zolpidem, and antidepressant single-agent) had a higher rate of no mental illness than each of the mixed-poisoning group. Conclusions : Guidelines for regulating non-prescription drugs are needed as a matter of suicide prevention. Also, this study suggests that clinicians need to be careful when issuing prescriptions and should suicidal risk according to patients' characteristics, duration of follow-up and type of drug packaging.

Evaluation for applicability of river depth measurement method depending on vegetation effect using drone-based spatial-temporal hyperspectral image (드론기반 시공간 초분광영상을 활용한 식생유무에 따른 하천 수심산정 기법 적용성 검토)

  • Gwon, Yeonghwa;Kim, Dongsu;You, Hojun
    • Journal of Korea Water Resources Association
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    • v.56 no.4
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    • pp.235-243
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    • 2023
  • Due to the revision of the River Act and the enactment of the Act on the Investigation, Planning, and Management of Water Resources, a regular bed change survey has become mandatory and a system is being prepared such that local governments can manage water resources in a planned manner. Since the topography of a bed cannot be measured directly, it is indirectly measured via contact-type depth measurements such as level survey or using an echo sounder, which features a low spatial resolution and does not allow continuous surveying owing to constraints in data acquisition. Therefore, a depth measurement method using remote sensing-LiDAR or hyperspectral imaging-has recently been developed, which allows a wider area survey than the contact-type method as it acquires hyperspectral images from a lightweight hyperspectral sensor mounted on a frequently operating drone and by applying the optimal bandwidth ratio search algorithm to estimate the depth. In the existing hyperspectral remote sensing technique, specific physical quantities are analyzed after matching the hyperspectral image acquired by the drone's path to the image of a surface unit. Previous studies focus primarily on the application of this technology to measure the bathymetry of sandy rivers, whereas bed materials are rarely evaluated. In this study, the existing hyperspectral image-based water depth estimation technique is applied to rivers with vegetation, whereas spatio-temporal hyperspectral imaging and cross-sectional hyperspectral imaging are performed for two cases in the same area before and after vegetation is removed. The result shows that the water depth estimation in the absence of vegetation is more accurate, and in the presence of vegetation, the water depth is estimated by recognizing the height of vegetation as the bottom. In addition, highly accurate water depth estimation is achieved not only in conventional cross-sectional hyperspectral imaging, but also in spatio-temporal hyperspectral imaging. As such, the possibility of monitoring bed fluctuations (water depth fluctuation) using spatio-temporal hyperspectral imaging is confirmed.