PUKYONG

광양만 해역 표층수온 변동특성

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Alternative Title
Fluctuation Characteristics of Sea Surface Temperature in Gwangyang Bay
Abstract
Annual temporal and spatial fluctuation characteristics of sea surface temperature(SST) in Gwangyang Bay were studied by using the SST monitoring data for the period from November 2010 to October 2011.
The monthly mean SST contour shows that warm sea surface areas developed near the Hadong thermal power plant through the year. The highest temperature (31.68°C) was measured at the outlet of Hadong thermal power plant(St.31) in Aug. 2011, and the lowest temperature(1.01°C) was measured at St.17 in Jan. 2011. The SST distribution shows that the temperature of the outlet(St.31) and near the outlet(St.19∼24) were high, while that of the south sea areas(St.1∼7) of Gwangyang Bay was low.
The time series of SST at main stations shows that the patterns mostly expressed by regression-pattern all the year round and the yearly mean SST of near the Hadong thermal power plant(St.23) was approximately 3.5∼4.0°C higher than that of other stations. Also, SST of Seomjin River estuary(St.17) temporarily changed down and up due to heavy rain. The annual variation of SST was similar to that of air temperature. The difference of SST between air temperature became small when both SST and air temperature rise, while the difference of SST and air temperature became large when both SST and air temperature go down.
The result of Maximum Entropy Method(MEM) analysis, there are commonly 6 peaks. The periods of these peak frequency are expressed as follows; (a) 24-hour’s cycle (b) 12-hour’s cycle (c) 8-hour’s cycle (d) 6-hour’s cycle (e) 5-hour’s cycle (f) 4-hour’s cycle. It seems that a diurnal-cycle variation of water temperature caused by solar radiation and a semidiurnal-cycle variation by tides are predominant.
The temporal and spatial fluctuation characteristic of sea surface temperature was analysed by Empirical Orthogonal Function(EOF) method in Gwangyang Bay. The EOF analysis shows that the 1st mode which is almost close to 99% was extremely dominant, while 2nd and 3rd mode which are less than 1% were quite small.
Author(s)
김종민
Issued Date
2016
Awarded Date
2016. 2
Type
Dissertation
Keyword
SST(Sea Surface Temperature)
Publisher
부경대학교 산업대학원
URI
https://repository.pknu.ac.kr:8443/handle/2021.oak/12944
http://pknu.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002229006
Alternative Author(s)
Jong-Min Kim
Affiliation
부경대학교 산업대학원
Department
산업대학원 토목공학과
Advisor
이종섭
Table Of Contents
Ⅰ. 서론 1
1. 연구배경 1
2. 연구목적 5

Ⅱ. 자료 및 방법 6
1. 연구해역의 장기간 표층수온(SST) 분석 6
2. 표층수온(SST) 모니터링 7
3. 최대엔트로피법(MEM) 스펙트럼 분석 11
4. 경험적 직교함수(EOF) 분석 16

Ⅲ. 결과 및 고찰 17
1. 연구해역의 장기간 표층수온(SST) 분석 결과 17
2. 모니터링에 의한 표층수온(SST) 분석 결과 21
1) SST 모니터링자료 수집현황 21
2) 모니터링에 의한 SST 분포특성 23
3) 주요정점의 SST 분포특성 36
4) 섬진강 하구역 인근의 유량과 SST의 시계열 분포특성 37
5) 기온과 SST의 시계열 분포특성 39
3. MEM 스펙트럼 분석 결과 41
4. EOF 분석 결과 51

Ⅳ. 요약 및 결론 64

참고문헌 66

감사의 글 69
Degree
Master
Appears in Collections:
산업대학원 > 토목공학과
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