Browse > Article
http://dx.doi.org/10.9765/KSCOE.2013.25.1.11

Estimation of Probability Distribution Functions for Water Temperature Data in Korean Coasts  

Jeong, Shin Taek (Department of Civil and Environmental Engineering, Wonkwang University)
Cho, Hongyeon (Marine Environments and Conservation Research Division, Korea Institute of Ocean Science and Technology)
Ko, Dong Hui (Department of Civil and Environmental Engineering, Wonkwang University)
Oh, Nam Sun (Department of Ocean Civil Engineering, Mokpo National Maritime University)
Son, Kyeong-Pyo (Environmental Impact Assessment Division, Han River Environmental Office, Ministry of Environment)
Publication Information
Journal of Korean Society of Coastal and Ocean Engineers / v.25, no.1, 2013 , pp. 11-19 More about this Journal
Abstract
As the temperature data show a distribution pattern with a number of peaks, assumption of normal distribution will result in a serious bias in the analysis. In this study, the Gaussian Mixture Distribution (GMD), a type of bimodal distribution, is presumed as a frequency distribution for the water temperature, in order to estimate the optimal parameter and to carry out the relation analysis between the optimal parameter and the basic statistical information such as mean and variance on the data. By the way, an estimation formulae to compute the frequency distribution of the data is developed by computing the parameters of GMD (i.e. ${\alpha}_1$, ${\mu}_1$, ${\sigma}_1$, ${\alpha}_2$, ${\mu}_2$, ${\sigma}_2$) by means of the major characteristic values, such as mean, standard deviation and skewness of the data. The formulae shows an excellent coincidence with the result from the observation data, in the RMS limit accuracy of 5%.
Keywords
temperature data; normal distribution; Gaussian Mixture Distribution (GMD); frequency distribution; estimation formulae;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 국립해양조사원 Homepage http://www.khoa.go.kr/
2 국토해양부, 한국해양과학기술진흥원 (2011). 항만구조물 신뢰성 설계법 개발 연구보고서.
3 이석우 (1983). 물리해양학통론.
4 이석우 (1992). 한국근해해상지.
5 조홍연, 김한나, 조범준 (2006). 서해안 조간대의 연속노출시간 특성 분석, 어촌어항연구, 제8집, 73-84.
6 조홍연, 정신택, 오영민 (2004). 조위자료의 확률밀도함수 추정, 한국해안.해양공학회지, 16(3), 152-161.   과학기술학회마을
7 조홍연, 정신택, 이길하, 김태헌 (2010). 조위의 확률밀도함수 변화에 따른 평균 및 표준편차 분석, 한국해안.해양공학회지, 22(4), 279-285.   과학기술학회마을
8 정신택, 조홍연, 고동휘 (2012). 조화상수를 이용한 조간대 노출 시간 추정공식 개발, 한국해안.해양공학회지, 24(5), 319-325.   과학기술학회마을   DOI   ScienceOn
9 정신택, 조홍연, 김정대, 고동휘 (2008). 이중 절단 기법을 이용한 조위자료의 확률밀도함수 추정, 한국해안.해양공학회지, 20(3), 247-254.   과학기술학회마을
10 정신택, 조홍연, 정원무, 양정석 (2005). 조화상수를 이용한 조위 발생확률분포 분석, 대한토목학회논문집, 25(1B), 51-57.   과학기술학회마을
11 해양수산부 (2000). 항만 및 어항 설계기준.
12 Haldar, A. and Mahadevan, S. (2000). Probability, Reliability and Statistical Methods in Engineering Design, John-Wiley & Sons.
13 Korea Ocean Research and Development Institute(KORDI) (1987). Oceanographic Atlas of Korean Waters.
14 Martinez, W.L. and Martinez, A.R. (2005). Exploratory Data Analysis with MATLAB, Chapter 9, Chapman & Hall/CRC.
15 Racine, S.R. (2008). Nonparametric Econometrics: A Primer, Foundations and $Trends^{(R)}$ in Econometrics, 3(1), 1-88. (2011.5.27. http://socserv.mcmaster.ca/racine/ECO0301.pdf)
16 Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis, Monographs on Statistics and Applied Probability, Chapman & Hall.