지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학위논문
- 저자정보
- 지도교수
- 이재준
- 발행연도
- 2017
- 저작권
- 금오공과대학교 논문은 저작권에 의해 보호받습니다.
이용수1
이 논문의 연구 히스토리 (3)
- 이 논문의 후속연구가 궁금하신가요?
- 연관 학술논문 또는 학술발표를 통해 보다 발전된 연구결과를 확인하실 수 있습니다.
- 이 논문의 연구 히스토리 확인하기
초록· 키워드
오류제보하기
For the design of hydraulic structures, the design flood discharge corresponding to a specific frequency is generally used by using the design storm calculated according to the rainfall-runoff relationship. In the past, empirical equations such as rational equations were used to calculate the peak flow rate. However, as the duration of rainfall is prolonged, the outflow patterns are different from the actual events, so the accuracy of the temporal distribution of the probability rainfall becomes important.
In the present work, Huff’s method is used for the temporal distribution of rainfall, and the third quartile is generally used. The regression equation for Huff''s quadratic curve applies a sixth order polynomial equation because of its high accuracy throughout the duration of rainfall. However, in statistical modeling, the regression equation needs to be concise in accordance with the principle of simplicity, and it is necessary to determine the regression coefficient based on the statistical significance level. Therefore, in this study, the statistical significance test for regression equation for temporal distribution of the Huff’s method, which is used as the temporal distribution method of design rainfall, is conducted for 69 rainfall stations in Korea. It is statistically significant that the regression equation of the Huff method can be considered only up to the 4th order polynomial equation, as the regression coefficient is significant in most of the 69 rainfall stations.
In the present work, Huff’s method is used for the temporal distribution of rainfall, and the third quartile is generally used. The regression equation for Huff''s quadratic curve applies a sixth order polynomial equation because of its high accuracy throughout the duration of rainfall. However, in statistical modeling, the regression equation needs to be concise in accordance with the principle of simplicity, and it is necessary to determine the regression coefficient based on the statistical significance level. Therefore, in this study, the statistical significance test for regression equation for temporal distribution of the Huff’s method, which is used as the temporal distribution method of design rainfall, is conducted for 69 rainfall stations in Korea. It is statistically significant that the regression equation of the Huff method can be considered only up to the 4th order polynomial equation, as the regression coefficient is significant in most of the 69 rainfall stations.
목차
제 1 장 서 론 11.1 연구목적 11.2 연구동향 21.3 연구동기 41.4 연구방법 5제 2 장 설계강우량의 시간분포 방법 62.1 Mononobe 분포 62.2 교호블록 방법(Alternating block method) 82.3 Huff 방법 92.4 Yen and Chow 방법 132.5 Keifer and Chu 방법 162.6 Pilgrim and Cordery 방법 19제 3 장 다항식의 회귀분석 203.1 회귀분석 203.1.1 단순선형 회귀모형 203.1.2 다중선형 회귀모형 233.1.3 다항식의 회귀분석 243.2 유의성 검정을 위한 과정 243.2.1 통계적 가설 검정 243.2.2 분산분석 263.2.3 선형 회귀분석의 변수선정 293.2.4 유의수준 결정 313.2.5 통계프로그램 R 32제 4 장 Huff 방법 시간분포 회귀식의 유의성 검정 334.1 설계강우량 334.1.1 설계강우량의 시간분포 334.1.2 누가우량 백분율의 회귀식 계수 산정 374.2 설계강우량 시간분포 회귀식의 유의성 검정 444.2.1 구미지점 464.2.2 대구지점 534.2.3 포항지점 604.2.4 설계강우량 시간분포 회귀식의 유의성 검정 결과 67제 5 장 결 론 68[참고문헌] 70[부 록] 73
최근 본 자료
댓글(0)
0