In this study, 38 residents of the Jeonnam areas in Korea were assessed for their level of exposure to VOCs. The aim was to understand the difference in levels of indoor, outdoor, and personal exposure to VOCs (benzene, toluene, ethylbenzene) and a health effect assessment was conducted to determine whether there was any fatal cause from carcinogenic or non-carcinogenic elements from case and control group. Personal exposure to benzene showed a higher distribution than indoor and outdoor concentrations, and it was found that the average concentration of the case group was higher than that of the control group in all indoor, outdoor, and personal exposures. With regard to benzene, in the CTE, RME, and Monte-Carlo analysis, all subjects in the case group were seen to exceed the lifetime cancer risk of 10−6 defined by the US EPA and in the RME analysis the control group subjects were also seen to exceed the lifetime cancer risk of 10−6 defined by the US EPA. In the case of toluene, ethylbenzene on the CTE, RME, and Monte-Carlo analysis, the non-carcinogenic standard of 1 was not exceeded.

In this study, 40 residents of the Gwangyang and Yeosu areas were assessed for their level of exposure to heavy metals (As, Cd, Ni) from April 2017 to June 2018. The aim was to understand the differences in levels of indoor exposure to heavy metals (As, Cd, Ni), and a health risk assessment was conducted to determine whether there was any fatal cause from carcinogenic elements. The mean concentrations of PM10 particles indoors were As 0.24 μg/m3, Cd 0.07 μg/m3, and Ni 0.89 μg/m3. The health risk assessment for the arsenic, cadmium, and nickel in indoor air confirmed that the mean values exceeded the cancer risk tolerances specified by the U.S. EPA, for As (males 3.07 × 10−4, females 3.35 × 10−4), Cd (males 3.83 × 10−5, females 4.18 × 10−5), and Ni (males 6.36 × 10−5, females 6.95 × 10−5).

This study was conducted targeting 30 residents of Gwangyang industrial complex area from April to May 2017 to assess their level of exposure to VOCs and conduct a health risk assessment for individual exposure. The aim was to understand the difference in levels of indoor, outdoor and personal exposure to VOCs (benzene, toluene, ethylbenzene, m-xylene, p-xylene, o-xylene) and a health risk assessment was conducted to determine whether there was any fatal cause from carcinogenic or non-carcinogenic elements from a respiratory disease patients. In the case of benzene in the air, the geometric levels of the group are indoor, outdoor and personal exposure; on the CTE, RME condition and Monte-Carlo analysis, all subjects were seen to exceed the carcinogenicity tolerance of 10−6 specified by the US EPA. In the case of toluene, ethylbenzene, m-xylene, p-xylene, o-xylene on the CTE, RME condition and Monte-Carlo analysis, the non-carcinogenic standard of 1 was not exceeded.

The purpose of this study was to measuring the effects of health involvement, attitude, perceived behavioral control (PBC), behavioral intention on seafood consumption. A total of 235 questionnaires were completed. Structural equation model was used to measure the causal relationships among constructs. Results of the study demonstrated that the structural analysis result for the data also indicated excellent model fit. The direct effect of health involvement on attitude was statistically significant. The direct effects of health involvement, attitude and PBC on consumption were statistically significant. As expected, attitude, PBC and behavioral intention had significant direct effects on consumption. Moreover, health involvement had a significant indirect effect on behavioral intention through attitude and PBC. Health involvement also had a significant indirect effect on consumption through attitude, PBC and behavioral intention. Attitude and PBC had significant indirect effects on consumption through behavioral intention. In conclusion, based on structural analysis, a model was proposed of interrelations among health involvement, attitude, PBC, behavioral intention and seafood consumption. Other variables(sensory variable, habit, norm etc) may be incorporated to form models that consist of new antecedent and consequence pairs.

This study was performed to investigate the health status of 600 owner-driver of taxi in Seoul City during from August 1, 2003 to February 28, 2004. The prevalence of subjective symptoms were surveyed by a general health questionnaires such as Todai Health Index (THI) and the Cornell Medical Index (CMI). In the THI health check table, prevalence of the complaints of mental subjective symptom by age was high in the items of fabrication (L), digestion (C), and aggressiveness (F) from 31 to 40 years old drivers and mental subjective symptom by age was high in all items except for tiredness (I), melancholia (N), and hypersensitivity (P) for the 60 years old drivers and showed in the items of melancholia (N) and hypersensitivity (P) for the 40 years old. From the complaints of mental and physical subjective symptoms about work satisfaction in the THI health check table, the strong dissatisfaction showed in the all items except for eye and skin trouble (B). All items except hypersensitivity (P) showed dissatisfaction in prevalence of complains of mental and physical subjective symptoms about work satisfaction in the CMI health check table. From the complains of mental and physical subjective symptoms on salary satisfaction in the THI health check table, the taxi driver who earn the salary of 1 million won showed statistically significant symptom of eye and skin trouble (B) and showed high tendency in all items except for respiratory (A) and digestion (C) systems. It is suggested that the appropriate health control for owner-driver of taxi should be applied to reduce the prevalence of complaints that showed mainly in the irregular working time and sleeping disorders.

본 연구에서는 SWAT 모형과 random forest를 이용하여 미래 기후변화에 따른 한강유역(34,148 km2)의 수생태계 건강성을 평가하였다. 국립 환경과학원에서 8년간(2008~2015년) 봄철(4~6월)에 모니터링한 부착돌말류 지수(TDI), 저서형 대형무척추동물지수(BMI), 어류평가지수(FAI)는 0~100점, A~E등급으로 평가되며, 이를 본 연구에서 사용하였다. 수생태 건강성에 영향을 미치는 변수로는 수질(T-N, NH4, NO3, T-P, PO4)과 수온을 선정하였으며, 수질 오염도가 낮은 경우에는 수생태계 건강성 점수가 광범위하게 분포되지만 수질 오염도가 높은 경우 수생태계 건강성 점수가 낮아지는 역상관관계를 확인하였다. 기계학습의 분류 분석 기법 중 하나인 random forest 모델을 이용한 세 개의 수생태 건강성 지수 등급 분류 결과 정밀도, 재현율, f1-score 모두 0.81 이상의 예측 정확도를 나타내었다. 기상청의 HadGEM3-RA RCP 4.5와 8.5 시나리오를 적용한 미래 SWAT 수문, 수질 결과 기저유출의 증가로 인해 질소 계열 수질 농도는 기준년도 대비 최대 43.2% 증가하였고, 지표유출 감소로 인해 인 계열 수질 오염도는 최대 18.9% 감소하는 것으로 분석되었다. 미래 FAI, BMI의 등급은 개선되는 경향을 보이지만 TDI는 등급이 악화되는 것으로 나타 났다. 이를 통해 TDI는 질소 계열 수질에 민감하고 FAI, BMI는 인 계열 수질에 더 민감하다고 판단하였다.