Most people seek a happy life and happiness positively affects sentiment, satisfaction with life, creativity, human relationship, business productivity, and even health and life extension. However, according to a survey in 2013, subjective happiness of adolescents (including university students) was very low compared to other age groups in Korea. Therefore this paper examined the effects of job-seeking stress, appearance recognition, financial situation, trust in government, and locus of control on university students' happiness using SEM (structural equation modeling). 207 university students in Seoul, Korea have been surveyed. At first, an initial experimental SEM model among these variables has been set up and reliability analysis has been conducted. Then multiple regression analyses on job-seeking stress and happiness as well as SEM analysis have been conducted. As a result of these analyses, the SEM model has been revised two times. The final SEM model passed the goodness-of-fit test (using RMR, GFI, NFI, CFI, and IFI indices). The final SEM model showed the followings. First, Higher job-seeking stress (especially sentimental part, rather than environment or action related parts) negatively affects happiness. Second, Trust in government also affects happiness both directly and indirectly. Third, Locus of control is affected both by trust in government and financial situation. Fourth, appearance recognition heavily affects job-seeking stress. In addition, appearance importance is higher than appearance interest, meaning that students who are not very interested in appearance usually recognize the importance of appearance. Finally, happiness is affected neither financial situation nor appearance recognition. Therefore, even either they are in a poor financial situation or not happy with their appearance, they can be happy if they have firm locus of control.

This study was a time activity pattern assessment focused on transportation in subpopulation groups using the ‘Time-Use Survey’ conducted by the National Statistical Office in Korea in 2009. The time activity patterns of transportation on weekdays were analyzed, looking at average travel time in Seoul, Gyeonggido and the whole country. Various subpopulation groups were classified such as students, the elderly, workers and housewives. The population of Gyeonggido had a higher average transportation time than that of Seoul. Workers showed the highest weekly average travel, while the students group showed the lowest tendency. The times spent in walking, bus, subway and taxi were the highest in areas other than Gyeonggido, where the use of private vehicles such as car was higher. Therefore, exposure to hazardous air pollutants may vary depending on the transportation method and time spent. This results indicate that time activity pattern assessment on transportation may be an important element of exposure assessment.

Hazardous air pollutants such as NO2, VOCs and PM10 were measured Daegu, Korea in major micro-environments,where housewives spend the most of their time, and personal exposure times were estimated by using time activitypatterns and exposure scenarios. The major microenvironments of housewives were selected using the ‘Time-UseSurvey’ conducted by the National Statistical Office in Korea in 2009. A total of 4,514 (weekdays) and 3,063(weekends) housewives were recruited for the ‘Time-Use Survey.’ It seems that housewives are spending about80% of their time in the house, and about 5% of their time outdoors during weekdays and weekends. The indoor/outdoor ratio of the average concentration of NO2 was more than 1, which indicated that the source was indoors.Toluene was shown to have higher concentrations indoors than outdoors. Ethylbenzene and xylene displayedsimilar characteristics to toluene, and the concentration ratio for indoor/outdoor was shown to be 1.29 ± 0.76 and1.04 ± 0.45, respectively, higher concentrations indoors. Based on the results of the time activity patterns ofparticipants, 3 kinds of exposure scenarios were formulated. The spent time and air concentration in eachenvironment were assumed as normal and lognormal distribution, respectively. And then the Monte-Carlosimulation was conducted. According to the result of the simulation, the exposures to hazardous air pollutantsrevealed an increasing pattern as housewives visits other indoor environments such as supermarkets.

The objective of this study is to offer basic scientific data to support policy decision-making for the improved control of nitrogen dioxide(NO₂) and nitrous acid(HONO) in residence. The survey on concentration of NO₂and HONO in 20 houses in Seoul and Daegu was performed from January to February, 2013. Average NO₂concentrations in the kitchen, living room, and room were 25.7 ± 7.7 ppb, 24.3 ± 8.5 ppb, and 19.6 ± 5.6 ppb, respectively. Also, average HONO concentration were 3.6 ± 1.0 ppb, 3.1 ± 0.9 ppb, and 3.1 ± 0.9 ppb, respectively. NO₂and HONO concentration in kitchen were significantly higher than the concentration in the living room and room(p<0.05). Concentration ratios of HONO/NO2 were ranged to 0.070 0.277 for indoor air and 0.004 0.161 for outdoor air. Indoor HONO/NO2 ratios were higher than the outdoor HONO/NO₂ratios.

Information on time spent in microenvironments has a critical role in individuals’ exposure assessment. Time-activity studies have become an integral part of comprehensive exposure assessment and personal exposure modeling. The aims of this study were to estimate the exposure level of NO₂, PM₁₀ and VOCs, and to compare the estimated exposure by using time-activity pattern and indoor air concentration. This study was performed upon 28 university students living in Daegu. We measured air pollutants of NO₂, PM₁₀ and VOCs at houses where the university students spent most their times. In this study, according to the summer and winter, time-activity patterns of university students were different. The 28 university students average spending times in house indoors and other indoors time were 11.52±2.14 and 7.63±2.65 hours in summer, and 14.78±3.30 and 6.59±3.03 hours in winter, respectively. The university students personal exposure NO₂ concentrations were average 21.62±5.88 ppb and I/O ratio was 0.89±0.27. Personal average exposure of PM₁₀ concentration was between house indoors and outdoors concentrations which indoor house concentration was 37.68±7.57 μg/m³ and outdoor house concentration was 43.85±9.80 μg/m³ with 0.88±0.17 of I/O ratio. Personal exposure to benzene and the average concentration of benzene did not exceed in atmosphere environmental standard (annual 1.5 ppb) and the outdoor houses concentration was much higher than indoor houses.

본 연구에서는 지진에 대한 고층건물의 응답특성, 그리고 지진응답에 미치는 중력하중의 영향과 중력하중의 영향이 내진설계에 미치는 중요성을 산정하였다. 이를 위해서 예제 구조물에 대한 정적해석 및 지진하중에 대한 동적해석을 하였다. 지진에 대한 고층건물의 지진응답 특성을 파악하기 위하여 비탄성 변형의 건물 높이에 따른 분포를 알아보았다. 지진이 발생하면 휨모멘트 요구도가 건물의 상부층보다 하부층에서 상대적으로 더 많이 증가해서 설계모멘트와의 차이가 건물의 하부층으로 갈수록 더 커진다. 그 결과 현재 쓰이는 내진설계방법에 따라 설계된 예제 건물들은 지진에 대하여 비탄성 응답이 건물의 각 층마다 서로 다르게 발생하는데 주로 건물의 하부층에서 큰 비탄성 응답이 발생한다. 또한 설계시에 고려된 중력하중 때문에 구조적 손상이 건물의 꼭대기 층에서 아래로 갈수록 크게 증가한다. 구조물의 지진응답에 관하여 중력하중은 보의 항복시간을 앞당기며, 보의 양단의 소성힌지에 각기 다른 비탄성 거동을 유발시킨다. 그러나 중력하중에 의한 초기 휨모멘트의 영향은 보가 비탄성 거동을 계속함에 따라 재분배되어 보의 양단에서 그 영향이 감소되며 비탄성 변형이 계속되면 크게 감소한다. 중력하중에 의한 초기 휨모멘트의 영향이 감소는 고층건물의 내진설계에 있어서 중력하중의 영향이 주는 의미는 기둥과 보의 휨강도를 결정할 때 현재의 방법보다 중력하중의 영향을 줄이고 지진하중의 영향을 증가시켜야 한다는 것이다.

일반적으로 구조물 의 내진설계에 있어서는 동가정적해석볍이 주고 사용되고 있다. 현재 사용되고 있는 풍 가정적해석법 은 구조물의 거통이 주로 기본진동 모드에 의해 지배된다는 가정하에 유도되었으므로 기본진동 주기가 낀 구조 불 에 대해서는 구조물의 동적 특 성 을 정확하게 예촉하기가 어렵다. 본 연구에서는 구조불의 설계시 직접적인 영향올 미치게 되 는 충 전 단력의 분포를 주요 관점으로하여 구조물 의 동적특성에 미치는 고차모 드 의 영향을 정확히 고려할 수 있는 충지진하중에 대하여 연구했다. 층 지 진 하중의 분포를 개선하기위해 현행 내진설계 기준의 등 가정적해석법에서 쓰이는층지진하중과모드 해석 을 이용하여 얻은 충지진하중의 차이를 파악하고 이로 부 터 고자모드의 영향이 고려된 충 지진하증 의 분포 룹 제안했다.