원격지에 위치하여 접근이 곤란한 지역에 위치한 토목구조물의 구조건전성을 모니터링하기 위해서는 무엇보다도 전원과 통신방법의 선정이 중요하다. 본 연구에서는 장기간 사용하지 않은 원격지 터널의 균열 원인 분석을 위하여 FEM해석을 수행하였고, 다양한 하중과 온도변화에 따른 구조물의 균열 진전여부를 장기간 모니터링 할 필요가 있다고 판단하였다. 따라서 최근 휴대전화에서 널리 사용되고 있는 무선 CDMA통신기법을 이용하여 균열의 원격모니터링을 수행하였고 그 결과, 이 시스템이 접근 곤란한 구조물의 장기모니터링에 매우 유용함을 확인하였다.

A case of air pollution study of estimation of emission rate for source to railroad rolling stock and emissive character about is unusual. Recent emission rate of railroad rolling stock was estimated with emission factor of EPA in three region(Seoul, Incheon, and Gyeonggido). But this EPA factor could be incorrect because Korea and America have a different railroad environment in the variety of fuel and character of railroad rolling stock. In this study, emission rate of each line, car and region(district) with emission factor of Korean case(National Railroad Administration, 1997) was estimated. In Busan Metropolitan City, railroad rolling stocks were divided accoding to, each line, car and service. Particularly, the idle fuel rate omitted in the preceding study was included in calculation fuel rate. Total emission rate of Busan Metropolitan City was 887.41t/year. Each emission rates of Kyeongbu line, Donghaenambu line, Gaya line, Uam line, Bujeon line, and idle was 489.15t, 196.46t, 33.94t, 12.66t, 6.47t, and 148.72t, respectively.

We investigated and analysed the actual conditions and characteristics of railroad noise levels for 17 sites in the vicinity of the Seoul-Pusan Line. The results are summarized. as follows : 1) Railroad noise level ranged to 64∼74 L_eq dB(A) at day time and ranged to 60∼72 L_eq dB(A) at night time. 2) Increased night noise level depend on the increase of trains passing at night time. 3) The major factor of increased noise level in the vicinity of stations are using loudspeakers and stream whistle on trains. 4) Decreased effect of noise according to distance is able to be described quantitatively using regression equations of multiplicative model. L_eq=78.59 X^-0.056 n=25, r=-0.994, s.e.=1.007 P_av =105.68X^-0073, n =25, r =-0.997, s.e. = 1.007 Also increased and decreased effect of noise according to floor in apartment is able to be described quantitatively using regression equations of multiplicative model. L_eq = 64.238 X^0.0567, n = 39, r = 0.787, s. e. = 1.004 P_av. = 79.963 X^0.0254 n = 39, r = 0.689, s. e. = 1.056 5) Average noise level in high floor is over 70L_eq dB(A) at day and night time, so more detailed soundproofing countermeasured in high floors apartment is required.