** ༊⡍ݡ⦺Ʊ ݡ⦺ᬱ ᕾᔍᙹഭ ([email protected])
Received April 5 2012, Revised August 2 2012, Accepted April 26 2013
Copyright ⵑ 2013 by the Korean Society of Civil Engineers
This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0)
ǣǣȀȀǤǤȀͳͲǤͳʹͷʹȀ ǤʹͲͳ͵Ǥ͵͵ǤͶǤͳʹͳ
Ǥ ǤǤ
ᢦᏮ#㩋ኾ㏟⮎#ⴖ㬚#ጎᶇ㯂ⵣ#Ꮾ⊶㩋❋#㍒ⷓ
ଲনߦ ȵঃ
Lee, Seong-Lo*, Kim, Sang-Woo**
Estimation of Basic Wind Speed at Bridge Construction Site Based on Short-term Measurements
ABSTRACT
In this paper, a study on the prediction method of basic wind speed at the construction site of long-span bridge using short-term measurements was conducted. To determine the basic wind speed in the wind resistant design for the long-span bridge away from the weather station, statistical analysis of long-term data at site is required. Wind observation mast was installed at site, and short-term measurements were gathered and the correlation analysis between the site and the station was done using regression analysis and MCP(Measure-Correlate-Predict). The long-term wind data of the site was obtained from correlation formula after topographical revision of long-term data of the station. And basic wind speed could be estimated by extreme probability distribution analysis. The research results show that the wind speed by regression analysis is predicted lower than by MCP and after this study a series of correlation analyses at several sites will show clearly the difference two methods. And also a quality control of long-term wind data is very important in estimation of wind speed.
Key words : Basic wind speed, Short-term measurements, Correlation, Wind observation mast
Ⅹಾ
ᅙםྙᨱᕽ۵݉ʑš⊂ᯱഭෝ⪽ᬊ⦹ᩍᰆݡƱప⩥ᰆ᮹ʑᅙ⣮ᗮᮥ⇵ᱶ⦹۵ႊჶᨱݡ⦽ᩑǍෝᙹ⧪⦹ᩡ݅. ʑᔢš⊂ᗭಽᇡ░Ñญaຝ
ᰆݡƱప᮹ԕ⣮ᖅĥ⩥ᰆ᮹ʑᅙ⣮ᗮᮥ⇵ᱶ⦹ʑ᭥⧕⩥ᰆ᮹ᰆʑ⣮ᗮᯱഭෝ☖ĥญ⦹۵äᯕ⦥⦹݅. ⩥ᰆᨱ⣮š⊂┲ᮥᖅ⊹⦹Ł
݉ʑe᮹⣮š⊂ᯱഭෝ⪶ᅕ⦹ᩡŁᖁ⩶⫭ȡᇥᕾၰMCP ႊჶᮥᯕᬊ⦹ᩍᯙɝʑᔢš⊂ᗭ᪡᮹ᔢššĥෝᇥᕾ⦹ᩡ݅. ʑᔢš⊂ᗭ᮹ᰆʑ
⣮ᯱഭෝḡ⩶ᅕᱶᮥ⦽⬥ᔢššĥᨱ᮹⧕⩥ᰆ᮹ᰆʑ⣮ᗮᯱഭෝᨩŁ⣮ᗮᯱഭ᮹ɚ⊹⪶ශᇥ⡍ᇥᕾᨱ᮹⧕ʑᅙ⣮ᗮᔑᱶᮥ⧁ᙹᯩ
ᨩ݅. ᩑǍđŝᨱᕽ۵ᖁ⩶⫭ȡᇥᕾ᮹ႊჶᯕMCP ႊჶᨱእ⧕⣮ᗮᮥԏí⇵ᱶ⦹Łᯩᮝ໑, ⨆⬥ᩍ్⩥ᰆᨱᕽᯝಉ᮹ᔢššĥᇥᕾᮥᙹ
⧪⦽݅໕᳦⧊ᱢᮝಽࢱႊჶᨱ᮹⦽ʑᅙ⣮ᗮᔑᱶ᮹₉ᯕෝᅕ݅⪶⯩ᅕᩍᵥäᯕ݅. ੱ⦽, ᰆʑᯱഭ᮹ḩšญa⣮ᗮ⇵ᱶᨱๅᬑᵲ⦹
݅۵äᮥᅕᩍᵝŁᯩ݅.
áᔪᨕ ʑᅙ⣮ᗮ, ݉ʑš⊂ᯱഭ, ᔢššĥ, ⣮š⊂┲
1. ᕽು
1.1 ֜ෂ૬নࢫࡧୡ
ᰆݡƱప᮹ԕ⣮ᖅĥʑᅙᯕࡹ۵ʑᅙ⣮ᗮᮥ⇵ᱶ⦹Łᖅĥ᭥⊹ᨱᕽ᮹ᱶ⪶⦽ᖅĥ⣮ᗮᮥᩩ⊂⦹ᩍᖅĥ⣮⦹ᵲᔑᱶၰԕ⣮ᦩᱶᖒá
᷾ᮥ⦹۵äᮡๅᬑᵲ⦽ŝᱶᯕ݅. ᰆݡƱపᮡ⣮⦹ᵲᨱ᮹⦽ᩢ⨆ᯕ݅ෙ⦹ᵲᅕ݅ᔢݡᱢᮝಽⓍအಽ⣮Ŗ⦺⊂໕ᨱᕽ۵ᰆݡƱపᯕ
ĵܓėॡ
Table 1. Determination procedure of wind velocity using field observations
Main Procedure Contents Output
installation of observation mast at site observing wind speed, wind direction and attack
angle wind data at site
short term observation data analyzing wind characteristics at site
main wind direction, mean wind speed, attack angle, surface roughness, turbulence intensity, turbulence spectrum long term data of weather station analyzing observational condition
(location, slope, height, roughness) correction of wind data of weather station
correlation analysis regression analysis reduction factor,
long term data of site statistical analysis estimating parameter,
basic wind speed at site Fig. 1. Comparisons of Mokpo bridge’s observation mast and Mokpo meteorological station
Fig. 2. Time series of wind observations at the construction site of Mokpo bridge
ᖅĥ᪡Ŗᨱᕽᇩญ⦹ḡอ, ᰆݡƱపÕᖅᯕ۹ᨕӹ۵↽ɝ᮹
࠺⨆ᮥ Łಅ⧁ ভ ᱶ⪶⦽ ⣮⦹ᵲ᮹ ᔑᱶŝ ԕ⣮ᦩᱶᖒ ⪶ᅕa
ᬒ v᳑ࢁ ⦥a ᯩ݅.
ᯝၹᱢᮝಽ⣮ᗮᮡḡᩎၰḡ⩶✚ᖒᨱ᮹⧕ᩢ⨆ᮥⓍíၼʑ
ভྙᨱԕ⣮ᖅĥ᮹ʑᅙᯕࡹ۵ʑᔢš⊂ᯱഭa⦥⦹݅. ə్ӹ
ᯝၹᱢᮝಽʑᔢš⊂ᗭ۵Ʊప⩥ᰆŝਉᨕᲙᯩ۵Ğᬑaݡᇡᇥ ᯕŁ, Ʊప⩥ᰆᮡš⊂ᗭ᪡۵ੱ݅ෙǎᇡᱢ⣮⪹Ğᮥ⩶ᖒ⧁
ᙹ ᯩᮝအಽ ᰆݡƱప ⩥ᰆᮡ ᄥࠥ᮹ ⣮⪹Ğ ⠪aa ⦥⦹݅.
ᕽࠥಽƱᖅĥʑᵡ(2005)ᨱᕽ۵ʑᅙ⣮ᗮᮥݡᔢḡᩎᯙ ɝ᮹ʑᔢš⊂ᗭ᮹ᰆʑ⣮ᗮʑಾ(┽⣮ੱ۵ĥᱩ⣮)ŝḡᩎᱢ᭥⊹
ෝ࠺ᨱŁಅ⦹ᩍɚ⊹ᇥ⡍ಽᇡ░⇵ᱶ⦹Ñӹ┽⣮ᯱഭ᮹ဍ ౩ᯕᖹ॒᮹⧊ญᱢᯙႊჶᮝಽ⇵ᱶ⦹ࠥಾᱶ⦹Łᯩᮝ໑, ᖅĥʑ ᵡ⣮ᗮ(
¯
Ƃ)ᮡݡᔢḡᩎ᮹ʑᅙ⣮ᗮŝƱప᮹Łࠥ, ᵝᄡ᮹ḡ⩶ŝ⪹Ğ॒ᮥŁಅ⦹ᩍ⧊ญᱢᯙႊჶᮝಽđᱶ⦽݅Łᱶ⦹Łᯩ݅.
⍡ᯕትvƱపᖅĥḡ⋉(2006)ᨱ໕, Ʊప᮹Õᖅ⩥ᰆ᮹⣮⪹
Ğŝb᳦ᯱഭෝᙹḲ⦹ᩍʑᅙ⣮ᗮᮥđᱶ⧉ᮝಽᕽԕ⣮ᖅĥa
᯲ࡽ݅. ʑᅙ⣮ᗮᮡ b ḡᩎᄥ ʑᔢš⊂ᗭ᮹ ᰆʑ⣮ᗮʑಾᮥ
☖ĥญ⦹ᩍǍ⦽݅. ᯕভʑᔢš⊂ᗭᵝᄡḡ⩶ŝŁࠥ, ⣮ᗮĥ ᮹ᖅ⊹׳ᯕ॒ᮥ⧊ญᱢᯙႊჶᮝಽᅕᱶ⦹ᩍ⦽݅. ʑᅙ⣮ᗮᮡ
əᯙɝḡᩎᮥ☖ŝ⦽┽⣮ʑಾŝ┽⣮༉ߙᮥၵ┶ᮝಽဍ౩ᯕ ᖹ ʑჶᮥ ᔍᬊ⦹ᩍ Ǎ⧁ ᙹࠥ ᯩ݅.
ḡeᰆ1,000 m ᱶࠥᯕᔢ᮹⩥ᙹƱ, 500m ᱶࠥᯕᔢ᮹ᔍᰆƱ
ෝݡᔢᮝಽ⦹Łᯩ۵ᅙᵝᔍǎᩑƱԕ⣮ᖅĥʑᵡ(2001)ᮡʑ ᅙ⣮ᗮ᮹đᱶᨱℌṙ, aƱḡᱱš⊂ᗭ᪡ʑᵡʑᔢš⊂ᗭš⊂ʑ
ಾ᮹ᔢšᮝಽᇡ░⇵ᱶ, ࢹṙaƱḡᱱš⊂ᗭ᮹ᯱഭᨱGringoten
ႊჶᮥᔍᬊ⦽Ḣᱲᱢᯙ⇵ᱶ, ᖬṙʑᵡʑᔢš⊂ᗭ᮹ᰍ⩥ʑݡ⊹
᪡ḡ⩶ᗭ᮹⫭ȡᇥᕾᨱ᮹⦽⇵ᱶ॒᮹ᖙaḡႊჶᮥᱽ⦹Ł
ᯩ݅. ⦹ḡอ, aƱḡᱱ᮹⩥ḡš⊂ʑಾᯕ֥݅ᨱÙℱ⊂ᱶࡹᨕ
ᯩÑӹ⪚ᮡ, ᱶၡ⦽ḡ⩶༉⩶⣮࠺ᝅ⨹ᨱ᮹⧕ʑᔢš⊂ᗭ᮹⣮ᗮ ŝaƱḡᱱ᮹⣮ᗮ᮹ᝁ⧁อ⦽ᔢššĥෝᮥĞᬑaᦥܩ໕
ᱶၡ⦽ ʑݡ⊹᮹ ⇵ᱶᮡ ᇩa܆⦹݅.
ᅙםྙᨱᕽ۵ᰆݡƱప⩥ᰆ᮹ʑᅙ⣮ᗮᮥđᱶ⦹ʑ᭥⧕Ʊప
⩥ᰆᨱᖅ⊹ࡽš⊂┲᮹݉ʑ⣮š⊂ᯱഭෝ⪽ᬊ⦹۵ႊჶᮥᩑǍ
⦹Ł⣮ᗮᔑᱶ᮹ᝁࠥෝ⨆ᔢ┅۵ߑࠥᬡᯕࡹࠥಾ⦹Łᯱ
⦽݅.
1.2 ۚ׆ւ౸ଡധ෮ୋණু୨
Ǎ᳑ྜྷ᮹ᖅĥ⣮ᗮᮥᔑᱶ⦹ʑ᭥⦹ᩍᖅĥʑᵡ᮹ḡᩎᄥʑᅙ
⣮ᗮᮥ ᔍᬊ⦹Ñӹ, ᯙɝ ʑᔢš⊂ᗭ᮹ ᩑ↽ݡ⣮ᗮᮥ ɚ⊹ᇥ⡍
⪶ශ༉⩶ᨱݡ᯦⦹ᩍᰍ⩥ᵝʑᄥ⣮ᗮᮥ⇵ᱶ⦹ʑࠥ⦹Ł, ᯙɝ
ḡᩎᮥ☖ŝ⦽┽⣮ʑಾŝ┽⣮༉ߙᮥၵ┶ᮝಽဍ౩ᯕᖹʑჶ
ᮥᔍᬊ⦹ᩍǍ⦹ʑࠥ⦽݅. ᖅĥ⣮ᗮᮥ⇵ᱶ⦹۵aᰆᳬᮡႊჶᮡ
ƱపᯕÕᖅࡹ۵⩥ᰆᨱš⊂┲ᮥᖅ⊹⦹Łᰆʑe⣮ᗮᮥ⊂ᱶ⦹
۵ႊჶᯕ݅. ⦹ḡอᖅĥ⣮ᗮᮥ⇵ᱶ⧁อⓝ⩥ᝅᱢᮝಽᰆʑe
⣮ᗮᮥš⊂⦹ʑ۵ᨕಅᬑအಽ, ݉ʑeš⊂ࡽ⣮ᗮᯱഭෝၵ┶ᮝ ಽ ᰆʑ ⣮ᗮᮥ ⇵ᱶ⦹۵ äᯕ ⧊ญᱢᯕ݅.
Ʊప⩥ᰆ᮹ʑᅙ⣮ᗮᮥ⇵ᱶ⦹ʑ᭥⧕aᖅᩩᱶḡᨱ⣮š⊂┲
ᮥᖅ⊹⦹Łš⊂ᮥ⦹۵Ğᬑᨱ۵݉ʑ⣮š⊂ᯱഭ⪶ᅕ᪡ᇩᨕ
ᯙɝʑᔢš⊂ᗭ᮹ᰆʑ⣮š⊂ᯱഭ⪶ᅕ, ᔢššĥᇥᕾ, ɚ⊹
⪶ශᇥ⡍ᇥᕾᯕ⦥⦹݅. bb᮹ŝᱶᨱݡ⦽⦥ԕᬊᮥTable
1ᨱ ᱶญ⦹ᩡ݅.
2. ݉ʑ⣮š⊂ᯱഭ⪶ᅕ
2.1 ණւ౸֜ন
2008֥ࠥᨱ༊⡍ݡƱaᖅ⩥ᰆ᮹ၵ௭✚ᖒᮥ❭ᦦ⦹ʑ᭥⦹ᩍ
⩥ᰆԕḡᔢ40m ׳ᯕƱbᔢᇡᨱ10m ׳ᯕ᮹š⊂┲᭥ᨱ
Ⅹᮭ❭ ⣮ᗮĥෝ ᖅ⊹⦹ᩡ݅(Lee et al., 2009).
݅ᮭ Figure 1ᮡ ⣮š⊂┲ ᖅ⊹ ᔍḥ ၰ ༊⡍ʑᔢݡ᪡ Ʊప
aᖅ ⩥ᰆ᮹ Ñญšĥෝ ӹ┡ԙ äᯕ݅.
ၵ௭ᯱഭ᮹š⊂ᮡ4Hz᮹ߑᯕ░ෝš⊂⦹ᩍ1ᇥ⠪Ɂ⣮ᗮᮥ
ߑᯕ░ಽÑᨱᱡᰆ⦹ࠥಾ⦹ᩡŁ10}᮹1ᇥ⠪Ɂ⣮ᗮᮥ⠪Ɂ⦹ᩍ
10ᇥ⠪Ɂ⣮ᗮᮝಽᔍᬊ⦹ᩡ݅. əญŁ10m/sᯕᔢ᮹⣮ᗮᯕš⊂
ࢁ Ğᬑ ၵ௭᮹ ࠺ᱢ✚ᖒᮥ ᇥᕾ⦹ʑ ᭥⧕ 32Hz ᯱഭෝ ಽ
ᱡᰆ⦹ࠥಾ ⦹ᩡ݅.
2.2 ෮ୋւ౸ୀ߹ଭंজ
⩥ᰆš⊂ᮡ2008֥9ᬵ1ᯝᇡ░2009֥12ᬵ31ᯝʭḡḥ⧪⦹
ᩍ Figure 2ᨱᕽ ĥᩕᮥ ӹ┡ԩŁ, ၵ௭ ✚ᖒ᮹ ᇥᕾᨱ ᮹⧕
ᵝ⣮⨆, ӽඹvࠥ, ӽඹᜅ⟺✙ౝᮥᮥᙹᯩᨩ݅. 2008֥9ᬵ
1ᯝᇡ░2009֥8ᬵ31ᯝʭḡ᮹1֥e᮹š⊂ᯱഭෝ16ႊ᭥ෝ
ᔍᬊ⦹ᩍ ၵ௭ᰆၙෝӹ┡ԕᨩᮝ໑(Figure 3), Figureᨱ ӹ┡ӽ
äŝ zᯕ ⓑ ᬱᨱ 4%ᦊ ᷾a⦹ࠥಾ ⦹ᩍ ᛞí ⣮ᗮ᮹ ኩࠥෝ
ᙹᯩࠥಾ⦹ᩡ݅. ྕ⣮ኩࠥ(%)۵0ⴇ0.2m/sಽᱶ᮹⦹ᩍŖ႒ᇡ ᇥᨱ⢽⦹ࠥಾ⦹ᩡ݅. š⊂ᯱഭᨱ᮹⦹໕⩥ᰆ᮹ᵝ⣮⨆ᮡP13ჩ
Ʊb᮹ĞᬑNႊ⨆, P14ჩƱb᮹ĞᬑNNW ႊ⨆ᮝಽӹ┡ԍ݅.
Table 2۵10m/s ᯕᔢ᮹⣮ᗮᨱᕽš⊂ࡽ32Hz᮹⣮ᗮߑᯕ┡
ᨱݡ⦽ӽඹvࠥ, ӽඹʙᯕᜅ⍡ᯝᨱݡ⧕ᱶญ⦹ᩡ݅. Tablaᨱᕽ
5ᬵ, 6ᬵ, 8ᬵᮡŁ⣮ᗮߑᯕ░aš⊂ࡹḡᦫᦥӽඹᜅ⟺✙ౝᮥ
ᮥᙹᨧᨩ݅. Ł⣮ᗮᯱഭ᮹࠺ᱢ✚ᖒᮡ10ᇥeš⊂ࡽ19,200}
᮹ᯱഭෝญ⦹ᩍᨩ݅. ӽඹʙᯕ۵
¥
Ɠa81~611m,¥
ƕa16~58mʭḡ᮹⠙₉aၽᔾ⦹Łᯩᮝ໑ʑ᳕᮹ᩑǍᨱᕽ᪡zᯕ
ᄡ⪵᮹ ⡎ᯕ Ⓧí ӹ┡ӹŁ ᯩ݅(⦽ǎ⣮Ŗ⦺⫭, 2010).
3. ʑᔢš⊂ᗭ᮹ʑᅙ⣮ᗮ
3.1 ׆ঃւ౸ীଭୀ߹ுࢫंজ
༊⡍ʑᔢݡ۵1904֥ᱥԉᝁᦩǑ⦹᮹໕᪆ࠥญ103ჩḡᨱᕽ
ᖅࡹᨕ࠺֥3ᬵ25ᯝᱶȽʑᔢš⊂ᨦྕෝ᯲⦹ᩡ݅. ⦹᮹໕
᪆ࠥญᨱᕽ1906֥ 4ᬵ ݡ᮹࠺ 2ჩḡ ༊⡍ྙ⪵ᬱ ǍԕෝÑℱ
1906֥8ᬵיᱢᅪᩧ⩥ၝ᳦bᯱญಽĉ᪡1997֥12ᬵ
ᩑᔑ࠺ᮝಽᯕᱥ⦹ʑᱥʭḡ91֥࠺ᦩʑᔢᨦྕෝšᰆ⦹ᩡ݅.
2008.09.01 00:00 ~ 2009.12.31 23:00 2008.09.01 00:00 ~ 2009.12.31 17:00
P13 Wind directionality P14 Wind directionality
Fig. 3. Wind directionality at bridge site
Table 2. Dynamic characteristics of wind data(over 10m/s) at bridge site
Observation date Wind direction Mean wind speed (m/s) Turbulence intensity (%) Integral scales of turbulence (m)
® ° ¢Ɠ ¢ƕ ¥Ɠ ¥ƕ
08.11.29 SEE 17.01 -0.23 9.08 6.26 128.10 38.88
08.12.25 SSE 13.51 0.092 17.96 8.07 259.73 30.15
09.01.23 SE 15.51 -0.80 10.69 7.22 101.77 25.33
09.02.20 SSE 16.12 0.068 12.45 6.43 550.77 54.52
09.03.13 SSE 13.84 0.022 16.30 8.37 429.84 25.78
09.04.25 SE 14.63 -0.023 12.65 6.03 611.03 62.47
09.07.12 SW 18.52 -0.22 14.59 9.38 81.14 16.03
09.09.12 SSE 11.77 0.20 11.77 6.64 114.88 28.56
09.10.19 SE 11.25 0.065 12.36 6.26 177.58 58.09
Table 3. History of Mokpo meteorological station
observation period observation place roughness
observation height from ground (m) 1904.031906.04 okdo haeui-myon
sinan-gun jeonnam -
1906.051906.07 daeu-dong mokpo 5.8 1906.081929.10 daeu-dong mokpo 5.8 1929.111964.03 daeu-dong mokpo 5.8 1964.041997.12 daeu-dong mokpo 15.8
1998.01present yonsan-dong mokpo 15.5 ᦥ௹ Table 3ᮡ ༊⡍ʑᔢݡ᮹ ᩑ⩢ᮥ ᅕᩍᵝŁ ᯩ݅.
༊⡍ʑᔢݡ᮹ᰆʑ⣮ᗮᯱഭ۵ⅾ103֥(1907~2009)ᨱÙℱ
ᖙჩ᮹š⊂ᗭᯕᱥᮝಽᖙə൚᮹š⊂ᯱഭෝʑⅩಽ᯲ᖒࡹᨩᮝ ӹ, 1964֥ᯕᱥʑᔢݡ᮹š⊂᭥⊹ӹᱽᬱᯕᇩᇥ⦹ᩍᯱഭ᮹
ᝁᖒᯕⓍ݅Łᅝᙹᨧᮝအಽםྙᨱᕽ۵103֥᮹ᯱഭෝᔍᬊ
⦽Ğᬑ᪡1964֥ᯕ⬥᮹ᯱഭอŁಅ⦽46֥᮹ᯱഭෝᔍᬊ⦽
Ğᬑෝ እƱ⦹ᩡ݅.
༊⡍ʑᔢݡ᮹ ᯱഭෝ ᯕᬊ⦹ᩍ ༊⡍ݡƱ ⩥ᰆ᮹ ʑᅙ⣮ᗮᮥ
⇵ᱶ⦹ʑ᭥⧕ᕽ۵aḡᅕᱶᯕ⦥⦹݅. ຝᱡʑᔢݡ᮹᭥⊹a
ŝÑӹ⩥ᰍᨱǍ෪ḡ⩶ᨱ ᭥⊹⦹Łᯩᮝအಽ⠪ḡᅕ݅᷾aࡽ
⣮ᗮᯕ⊂ᱶࡽ݅. ੱ⦽⣮ᗮĥŁࠥaʑᔢݡ᮹ᯕᱥŝ⧉̹ᄡ⦹ᩡ
ᮝအಽᯕෝᯕᬊ⦹ᩍḡᔢ10mᨱݡ⦽sᮝಽᅕᱶ⦹ᩍ⦽݅.
ຝᱡǍ෪ḡ᮹ᱶᔢᨱ᭥⊹⦽༊⡍ʑᔢݡ᮹š⊂⣮ᗮᮥᅕᱶ⦹ ʑ᭥⦹ᩍ༊⡍ḡᩎᙹ⊹ḡࠥಽᇡ░ḡ⩶ᱶᅕෝ❭ᦦ⦹Łḡ⩶᮹
ʕŝṈᮡᮥ⠪Ɂ⦹ᩍᮁಽ⎵ऽ(2001)ᨱ᮹⦽ᅕᱶᮥᝅ⦹
Fig. 5. Corrections of 10-minute largest yearly mean wind speed at Mokpo weather station
Fig. 4. Hill correction of Eurocode (2001)
Table 4. Hill correction coefficients for each weather station location
parameter
present weather station (1998-2009)
old weather station (1964-1997)
old weather station (1907-1964)
group 3 group 2 group 1
¥Ɠ=¥Ƃ 86.9 89.8 89.8
X -31.5 -15.9 -38.8
H 19.3 18 18
z 15.5 15.8 5.8
쩕 0.222 0.20 0.20
¥ƃ 86.9 89.8 89.8
s 0.297 0.47 0.295
Ɓ× 1.132 1.188 1.118
ᩡ݅(Figure 4). Table 4۵ʑᔢš⊂ᗭ᭥⊹ᄥǍ෪ḡᅕᱶᨱᔍᬊ
ࡽĥᙹॅᯕ݅. ⠪ḡ⣮ᗮ(⠪Ɂ) = Ǎ෪ḡ⣮ᗮ/
Ɓ
×ᨱ᮹⧕Ǎ෪ḡ⣮ᗮᮡ ᅕᱶࡽ݅.
TableᨱᕽǍ෪ḡᅕᱶĥᙹ
Ɓ
×á Î âÏ Z Ƒ Z ŋ
ᯕ໑,ŋ á ć ¥
Ɠ
¡
¥
ƃá ¥
ƓÞƑƆſƊƊƍƕì ×í×Ò ï ŋ ï ×íÐß
ᯕ݅.Łࠥᨱෙ⣮ᗮᅕᱶᮡᯝၹᱢᮝಽᔍᬊࡹŁᯩ۵(1)᪡
zᯕḡᙹჶ⊺(Power law)ᮥᔍᬊ⦹ᩡᮝ໑, ʑᵡĞŁࠥ(zG)ᨱᕽ ᮹⣮ᗮᮡḡ⢽᳑ࠥǍᇥᨱᔢšᨧᯕ࠺ᯝ⦽sᮥaḡ۵äᮝಽ
aᱶ⦹ᩡ݅.
®ÞƘ
ƅìƘ
×ß á Þ ć ĺÞƘ Ƙ
ƅ×ß ßķÞƘ×ßÞ ć ĺÞƘ Ƙ
ƅÎ×Îß ßķÞƘ×Îß®ÞƘ
ƅÎìƘ
×Îß
(1)
Figure 5ᨱᕽ۵༊⡍ʑᔢݡ᮹ᩑ↽ݡ⠪Ɂ⣮ᗮၰǍ෪ḡ⬉ŝෝ
Łಅ⦹ᩍ}⪽ḡ(ḡ⢽᳑ࠥǍᇥⳒ)ᨱᕽ᮹ḡᔢ10mಽ⪹ᔑ⦽⣮ᗮ
ᮥ ᅕᩍᵝŁ ᯩ݅.
3.2 ׆࣭ණুॺ୨
ʑᅙ⣮ᗮᮥ⇵ᱶ⦹ʑ᭥⦹ᩍđ⧊ᇥ⡍⪶ශᮥᯕᬊ⦹ᩍၵ௭ŝ
šಉ⦽☖ĥᱢߑᯕ░ෝญ⦹Łᇥ⡍༉ߙ᮹áᔍၰᄡᙹ⇵ᱶᮥ
ᙹ⧪⦹ᩡ݅. ᯕෝ᭥⦹ᩍ, ࠺ᯝ⦽ᰆᗭᨱᕽᩍ్ႊ⨆ᨱݡ⦽⠪Ɂ⣮
ᗮᮡ࠺ᯝ⦽ᇥ⡍༉ߙᨱ໑✚ᱶᰆᗭ᮹ᱥႊ⨆⣮ᗮʑಾ᮹
༉ु⢽ᅙᨱᱢ⧊⦽äᮝಽaᱶ⦹ᩡ݅. ੱ⦽, ࠺ᯝ⦽ᰆᗭ᮹ᩍ్
ႊ⨆ᨱݡ⦽↽ᱢ༉ߙ᮹⠪Ɂ⣮ᗮᮡᕽಽࠦพᱢᯕ໑, ⧕ݚႊ⨆ᨱ
ݡ⦽⣮ᗮʑಾ᮹⢽ᅙᨱ᮹⧕ᕽอ↽ᱢᮝಽ⇵ᱶࢁᙹᯩ۵äᮝಽ
aᱶ⦹ᩡ݅.
ၵ௭ŝšಉ⦽☖ĥᱢߑᯕ░ॅᮡݡᇡᇥɚ⦽᮹ᗮࠥʑಾᯕ໑, ᵝᨕḥ ☖ĥᵝʑ ᦩᨱᕽ ↽ݡᗮࠥෝ đᱶ⦹ʑ ᭥⦽ äᯕအಽ
Gumbel ॒ᨱ᮹⧕ᱽᦩࡽɚ⦽ᇥ⡍༉ߙᮥᔍᬊ⦹۵äᯕၵ௭Ḣ⦹
݅. ᅙᩑǍᨱᕽ۵⧕ݚḡᩎ᮹ᰆʑe᮹ᩑ↽ݡ⣮ᗮᯱഭෝGumbel ᇥ⡍ᨱᱢᬊ⦹ᩍᇥ⡍✚ᖒᮥ❭ᦦ⦹Łᰍ⩥ᵝʑᨱෙɚ⦽⣮ᗮ
ᮥ ᔑᱶ⦹ᩡ݅.
3.2.1 Gumbel ंඑࡦ܄
Gumbel᮹ ٥ᱢᇥ⡍⧉ᙹ۵ (2)᪡ z݅. ᩍʑᕽ
±ÞƖß
۵Ⅹŝ⪶ශᮥ ӹ┡ԙ݅.
±ÞƖß á Þà ƃ
àķÞƖ àƓßß
(2)ŖᔍʑeNᨱݡ⦹ᩍⅩŝ⪶ශ
±§ÞƖß
ᮡ݅ᮭ(3)ŝzᮡšĥᮥ ᮥ ᙹ ᯩ݅.
±§ÞƖß á ã
±ÞƖßä
§á Þৠƃ
àķÞƖ àƓßß
á Þàƃ
àķÞƖ àƓ à ć§ ßķß
(3)Table 5. Return period and exceedance probability of basic wind speed
service year
non- exceedance
probability (%)
return period basic wind
speed(m/s) period of data
100 60 200 45.3
1907~2009
50 60 100 41.8
100 60 200 26.0
1964~2009
50 60 100 24.6
ᕽ እⅩŝ⪶ශ, (1-p)ᨱ ݡ⧕ᕽ۵ (4)᪡ zᯕ ᱶญ⧁
ᙹ ᯩᮝ໑
±§ÞƖß á Î à Ǝ á Þà ƃ
àķÞƖ àƓ à ć§ ßķß
(4)ÞÎ à Ǝß á à ƃ
àķÞƖ àƓ à ć§ ßķᯕভ
Ɩ
ᨱš⦹ᩍᮥᱶญ⦹໕ᰍ⩥ᵝʑෝŁಅ⦽ɚ⦽⣮ᗮᮥᔑᱶ⧁ ᙹ ᯩᮝ໑ ᯕ۵ (5)᪡ z݅.
Ɩ á Ɠ â ć ķ Î Þà ć ÞÎ à Ǝß § ß
(5)ᩍʑᕽ, N : ԕᬊ֥ᙹ p : Ⅹŝ⪶ශ
u, a : ⪶ශᇥ⡍༉ߙ ༉ᙹ
x : ԕᬊ֥ᙹ᪡ Ⅹŝ⪶ශᮥ Łಅ⦽ ᖅĥs
(5)ᨱᕽ
ķ
᪡Ɠ
۵bb᮹ᇥ⡍༉ߙᯕ״ᯕ۵᭥⊹ၰᜅ⍡ᯝᨱݡ⦽ᔢᙹᯕ໑, ༉ູ✙ႊჶᯕӹML ႊჶ, OS ႊჶ॒ᨱ᮹⧕
⇵ᱶ⧁ ᙹ ᯩ݅.
ᇥ⡍༉ߙ᮹áᔍ۵⣮ᗮʑಾ᮹ߑᯕ░a⪶ශᇥ⡍༉ߙᨱᱢ⧊
⦽ḡෝ áᔍ⦹ʑ ᭥⧕ ᙹ⧪ࡽ݅. áᔍᨱ۵ ᵝಽ
Ɩ
Ï áᔍ, K-S áᔍ, PPCC ॒ᯕᯩ݅. ༊⡍ʑᔢݡ᮹ᰆʑ⣮ᗮᯱഭෝ☖⧕Łࠥၰḡ⩶ᅕᱶᮥᝅ⦹ᩍᰆʑ⣮ᗮᮥ⇵ᱶ⦹ᩡᮝ໑⪶ශᇥ⡍༉ߙ᮹
ᱢ⧊ࠥෝ❱݉⦹ʑ᭥⦹ᩍᦿᨱᕽᨙɪ⦽ᖙaḡႊჶᮥᯕᬊ⦹ᩡ
ᮝ໑ ᖙaḡ ༉ࢱᨱ ݡ⧕ ᱢ⧊ᖒᮥ อ᳒⦹۵ äᮝಽ ӹ┡ԍ݅.
⪶ශᇥ⡍⧕ᕾᨱᕽ༉ູ✙ႊჶᨱ᮹⦽༉ᙹ⇵ᱶŝML ႊჶᨱ
᮹⦽ ༉ᙹ⇵ᱶ ᱢ⧊ࠥ۵ 1907֥ ᯕ⬥᮹ ᱥℕ ᯱഭෝ ᔍᬊ⦽
ĞᬑPPCCsᯕ0.96ᮝಽzí⠪aࡹᨩᮝ໑, 1964֥ᯕ⬥᮹ᯱഭ อ ᔍᬊ⦽ Ğᬑᨱࠥ 0.96ᮝಽ zí ⠪aࡹᨩ݅.
3.2.2 ୍෮ச׆ࠜճߙּණুଭ୨
Table 5۵ⅾ103֥᮹ᰆʑ⣮ᗮᯱഭ᪡1964֥ᯕ⬥᮹ᯱഭอ
Łಅ⦽46֥ᰆʑ⣮ᗮᯱഭෝʑᵡᮝಽ⣮ᗮᮥ⇵ᱶ⦽đŝᯕ݅.
ᩍʑᨱᕽ۵š⊂ᗭ᮹ᯕᱥᨱ ෙ᭥⊹ᄡ⪵᮹ᩢ⨆ᮥŁಅ⦹ḡ
ᦫᦹᮝ໑, Ǎ෪ḡ ᅕᱶŝ Łࠥ ᅕᱶᮥ ⦹ᩡ݅.
Ŗᬊᵲᨱá☁֥ᙹ50֥, እⅩŝ⪶ශ60%ෝŁಅ⦹ᩡᮥভ, 1907֥ᯕ⬥᮹ᱥℕᯱഭෝᔍᬊ⦽ĞᬑGumbel ᇥ⡍༉ߙᨱᕽ
ᰍ⩥ʑe100֥ᨱ⧕ݚ⦹۵ʑᅙ⣮ᗮ(10ᇥ⠪Ɂ, ḡᔢ10m, ḡ⢽
᳑ࠥⳒ)ᮡ41.8m/sᯕӹ, 1964֥ᯕ⬥᮹⣮ᗮᯱഭอᯕᬊ⦹ᩡᮥ
Ğᬑᨱ۵ᰍ⩥ʑe100֥ᨱ⧕ݚ⦹۵ʑᅙ⣮ᗮᯕ24.6m/sᨱḡӹ ḡᦫᦥ⣮ᗮᯱഭ᮹ᔍᬊᨱⓑ₉ᯕෝᅕᯕŁᯩ݅. ᯕ్⦽
₉ᯕ۵ᰆʑš⊂ᯱഭaฯᮥᙹಾ༉Ḳ݉ŝ᮹ ⪶ශᱢ⧕ᕾsᯕ
ᮁᔍ⧁ᙹᯩᮝӹ, ᩼ᯱഭ᮹ḩᨱݡ⦽ᝁᖒᯕđŝᨱⓑᩢ⨆ᮥ
ၙ⋁ᙹᯩᮭᮥᅕᩍᵝ۵äᯕ݅. Kwon et al.(2008)ᮡ┽⣮ဍ౩ ᯕᖹᨱ ᮹⧕ 28.3m/sಽ ⇵ᱶ⦽ ၵ ᯩ݅.
⍡ᯕትvƱపᖅĥḡ⋉(2006)ᨱᕽ۵ʑᅙ⣮ᗮᔑᱶᨱb⧕
ݚḡᩎᄥʑᔢš⊂ᗭ᮹ᰆʑ⣮ᗮᯱഭෝ☖ĥญ⦹ᩍ⪽ᬊ⦹ࠥಾ
ᱽ⦹Łᯩᮝ໑, ⣮ᗮᯱഭaaᬊ⊹༜⧁Ğᬑᨱ۵┽⣮ဍ౩ᯕ ᖹʑჶᮥᔍᬊ⦹ᩍǍ⧁ᙹᯩ݅Ł⦹Łᯩ݅. ݅อ, ࠥಽƱᖅ ĥʑᵡ(2005)ᨱᕽ۵⣮ᗮᯱഭaaᬊ⊹༜⦽Ğᬑᨱᱽࡽ⣮ᗮ
ᮥ ᔍᬊ⦹ࠥಾ ⦹Ł ᯩ݅.
4. ⣮ᗮ᮹ᔢššĥᇥᕾ
ᅙᩑǍᨱᕽ۵⩥ᰆ᮹ʑᅙ⣮ᗮᮥࠥ⇽⦹ʑ᭥⧕ʑᔢݡ10ᇥ
⣮ᗮŝš⊂┲10ᇥ⣮ᗮ᮹ᔢšᖒᮥᇥᕾ⦽⬥, ʑᔢݡǍ෪ḡ
᳑ÕŝŁࠥᨱݡ⧕ᅕᱶࡽᯱഭಽᇡ░ ⩥ᰆ᮹ᰆʑ⣮ᗮᯱഭෝ
ᔾᖒ⦹ᩡ݅. ᔢšᖒᇥᕾᮡʑᔢݡ݉ʑš⊂⣮ᗮŝš⊂┲݉ʑ
š⊂⣮ᗮᮥ⫭ȡᇥᕾ⦹۵ႊჶŝbb᮹݉ʑš⊂⣮ᗮᮥǍ෪ḡ
᪡Łࠥᅕᱶ⬥⫭ȡᇥᕾ⦹۵ႊჶᮥŁಅ⧁ᙹᯩ݅. əญŁᔾᖒࡽ
ᰆʑ⣮ᗮᯱഭ᪡ɚ⊹⪶ශᇥ⡍(Gumbel)ෝᯕᬊ⦹ᩍ⩥ᰆʑᅙ⣮
ᗮᮥ ᔑᱶ⦹ᩡ݅.
4.1 ট෴ฎֱंজ
Ʊప⩥ᰆᯕʑᔢš⊂ᗭ᪡ᨕ۱ᱶࠥਉᨕᲙᯩ۵Ğᬑ, ʑᔢݡ ᮹ ⣮ᗮŝ Ʊప⩥ᰆ᮹ ⣮ᗮ ᔍᯕᨱ۵ ᩑšᖒᯕ ᯩ݅Ł aᱶ⧁
ᙹ ᯩᮝ໑ ࢱ sᮥ ⦽ ᝮ᮹ ᄡᙹಽ ⦹ᩍ ⫭ȡᇥᕾᨱ ᮹⧕ ᖁ⩶
đ⧊šĥa ⓑḡ ❭ᦦ⧁ ᙹ ᯩ݅.
݉ʑe⊂ᱶ⦽⣮ᗮᮥᔍᬊ⦹ᩍᰆʑ⣮ᗮᮥ⇵ᱶ⦹ʑ᭥⦽ႊჶ ᮝಽMCP(Measure-Correlate-Predict) ႊჶᯕᯩ݅(Manwell et al., 2002; Kwon et al., 2009). MCP ႊჶᮡ⩥ᰆᨱᕽ⊂ᱶࡽ
݉ʑe⣮ᗮŝᯙɝʑᵡᱱ᮹⣮ᗮᮥእƱ⦹ᩍ⩥ᰆ᮹ᰆʑ⣮ᗮ
ᮥ ⇵ᱶ⦹۵ ႊჶᯕ݅. Rogers et al.(2005)ᯕ ᱽᦩ⦽ ᇥᔑእ
observed MCP : ¯ƒſƐƅƃƒá ÎíÏÔÏÑ®ƐƃƄâ×íÓÎÔÓ observed 1:1 : ¯ƒſƐƅƃƒá ÎíÎ×ÑÕ®ƐƃƄâÎí×ÖÎÐ
corrected MCP : ¯ƒſƐƅƃƒá ÎíÏÕ×Ò®ƐƃƄâ×íÑÔÔÐ corrected 1:1 : ¯ƒſƐƅƃƒá Îí×ÐÓÓ®ƐƃƄâ×íÕÑÐÒ Fig. 6. Correlation analysis beteen reference and target site
ႊჶᨱᕽ۵⣮ᗮ᮹⢽ᵡ⠙₉እෝᖁ⩶šĥ᮹ʑᬙʑಽᯕᬊ⦹
ᩡ݅( (6)).
¯
ƒſƐƅƃƒá Þ ć ň ň
®¯ß ®ƐƃƄâ ć ¯ à Þ ć ň ň
®¯ß ć ® (6)
ᩍʑᕽ,
®
۵ʑᵡᱱ(ʑᔢݡ)᮹݉ʑ⣮ᗮ,¯
۵⩥ᰆ᮹݉ʑ⣮ᗮ,
®
ƐƃƄ۵ʑᵡᱱ(ʑᔢݡ)᮹ᰆʑ⣮ᗮ,¯
ƒſƐƅƃƒᮡ⩥ᰆ᮹ᰆʑ⣮ᗮ ⇵ᱶ⊹,
ć Þ ß
۵ ⠪Ɂ,ň
۵ ⣮ᗮ᮹ ⢽ᵡ⠙₉ᯕ݅.ᇥᔑእ ႊჶᮡᖁ⩶⫭ȡ
¯
ƒſƐƅƃƒá ķ âĸ®
ƐƃƄ ᨱᕽʑᵡᱱŝ༊⢽ᱱ᮹݉ʑ⣮ᗮᔢšĥᙹ
Ň
ᨱݡ⧕ʑᬙʑෝĸ á Ňć ¬
®
¬
¯ ݡᝁĸ á ć ¬
®¬
¯ෝᔍᬊ⦹ᩡŁ, ᱩ⠙ᮥ
ķ á ć ¯ à Ň ć ň
®ň
¯Þ ć ® ß
ݡᝁķ á ć ¯ à ć ň
®ň
¯Þ ć ® ß
ෝᔍᬊ⦹ᩡ݅. ə్ӹᯕ༉ߙᮡ༊⢽ᱱ᮹⣮ᗮŝʑᵡᱱ᮹⣮ᗮᯕᱶ⪶⯩ᖁ⩶šĥෝaḥ݅۵aᱶᯕᯩᨕ⦹۵ ߑ, ⢽ᅙ᮹ᙹaᱢᮥĞᬑv⦽ᖁ⩶šĥ᮹aᱶᯕᖒพ⦹ʑᨕಅᬑ ໑, Rogers et al.(2005)ᮡ6000~7000hours(8~9.5months) ᯕᔢ ᮹⢽ᅙᯕᯩᮝ໕ᰆʑ⣮ᗮ᮹⢽ᵡ⠙₉a↽ᗭಽࡽ݅Łᅕᦹ݅.
ə్ӹ ᯱഭ᮹ ᙹᨱ ෙ ᔢšĥᙹ᮹ ᄡ⪵a ᩩᔢࡹ۵ߑ ᯕᨱ
ݡ⦽ Łಅa ࡹḡ ᦫ۵݅۵ ྙᱽa ᯩ݅.
⦽⠙, ʑᔢݡ᮹⣮ᗮŝƱప⩥ᰆ᮹⣮ᗮᔍᯕ᮹ᩑšᖒᮥᔢšĥ ᙹ᪡⢽ᵡ⠙₉ෝŁಅ⦽ᖁ⩶⫭ȡᇥᕾᮝಽᱲɝ⦹໕, đ⧊ᱶȽᇥ
⡍ෝaḡ۵ࢱᄡᙹU᪡V᮹᳑Õᇡ⠪Ɂŝ⢽ᵡ⠙₉۵݅ᮭŝ
zᯕ ӹ┡ԝ ᙹ ᯩ݅.
¯
ƒſƐƅƃƒá ć ¯ â ŇÞ ć ň
®ň
¯ß ã®
ƐƃƄà ć ® ä
(7)¯ſƐã¯
ƒſƐƅƃƒäá ň
¯ÏÞÎ àŇ
Ïß
(8)əญŁ, đᱶĥᙹ
Ɛ
Ïá Îà ć ň
¯Ïň
¯ çƓÏಽӹ┡ԝᙹᯩᮝ໑
× = Ɛ
Ï= Î
᮹ sᮥ wí ࡽ݅.ᩍʑᕽ,
ň
¯ çƓ۵⇵ᱶ⊹᮹ᇥᔑᱶࠥෝӹ┡ԕ۵᳑Õᇡ⢽ᵡ⠙₉ ᯕ໑,ň
¯۵⩥ᰆ݉ʑ⣮ᗮᯱഭ᮹⢽ᵡ⠙₉݅. ⇵ᱶ⊹᮹᳑Õᇡ⢽ᵡ⠙₉a 0ᯝ ভ đᱶĥᙹ۵ 1᮹ sᮥ w۵݅. ᯱഭ᮹ ᙹa
ฯᮝ໕
Ɛ
ᮡ ɝᔍᱢᮝಽ ᔢšĥᙹ᪡ z݅.ᯕᔢᨱᕽMCP ႊჶᮡđ⧊ᱶȽᇥ⡍ෝaḡ۵ࢱḡᱱ᮹⣮ᗮᯕ
ᔢšĥᙹa1ᯝভ᮹šĥᮝಽᅝᙹᯩ݅. ə్ӹࢱḡᱱ᮹
⣮ᗮᨱݡ⦽ᔢšᖒᯕ1ᯙšĥᮥࠥ⇽⦹ʑ۵⩥ᝅᱢᮝಽᨕಅᬑ ໑ᕽᔢšĥᙹ᪡⢽ᵡ⠙₉ෝŁಅ⦽ ᖁ⩶⫭ȡᇥᕾᨱ᮹⦽
šĥᯕ ⧊ญᱢᯕ ❱݉ࡽ݅.
4.2 ֗߆෮ୋୋ׆ණুୀ߹ন
ᅙᩑǍᨱᕽ݉ʑe⊂ᱶ⦽⣮ᗮᮥᔍᬊ⦹ᩍᰆʑ⣮ᗮᮥ⇵ᱶ⦹
ʑ᭥⧕2008֥9ᬵ1ᯝᇡ░2009֥8ᬵ31ᯝʭḡⅾ12}ᬵ᮹
⣮ᗮ ᯱഭෝ ᔍᬊ⦹ᩡ݅.
⣮⨆ᄥŁ⣮ᗮᯱഭa∊ᇥ⦹ḡ༜⦹ᩍ⣮⨆ᮥၹᩢ⦹ḡᦫŁ
MCP ႊჶᮥᱢᬊ⦽đŝ᪡༊⡍ʑᔢݡ᪡༊⡍ݡƱ⩥ᰆ᮹ᝅ⊂s อᮥ☖⧕ᕽ1:1 ᔢššĥᇥᕾอᮥ☖⦽⣮ᗮšĥ۵Figure 6ᨱ
ӹ┡ԕᨩ݅(App. 1 ₙ᳑).
4.3 ֗߆෮ୋ׆࣭ණু
ᯕᔢᨱᕽ༊⡍ݡƱ⩥ᰆ᮹݉ʑ⣮ᗮᝅ⊂sᮥ༊⡍ʑᔢݡᝅ⊂
sŝ1:1 ᔢšᇥᕾၰMCPᇥᕾᨱ᮹⧕šĥᮥĥᔑ⦹Ł༊⡍ʑ ᔢݡ⣮ᗮᯱഭෝšĥᨱݡ᯦⦹ᩍ⩥ᰆ᮹ᰆʑ⣮ᗮᮥ⇵ᱶ⦹ᩡ
݅. əญŁ⩥ᰆ᮹ᰆʑ⣮ᗮᯱഭෝGumbel ⪶ශ༉ߙᨱݡ᯦⦹ᩍ
Table 6. Estimation of basic wind speed at bridge construction site
division service year non-exceedance probability return period basic wind speed (P13) period of data
linear regression analysis 100 60% 200 47.8 (m/s)
1907~2009
50 60% 100 44.1 (m/s)
MCP 100 60% 200 58.4 (m/s)
50 60% 100 53.9 (m/s)
linear regression analysis 100 60% 200 27.8 (m/s)
1964~2009
50 60% 100 26.3 (m/s)
MCP 100 60% 200 33.7 (m/s)
50 60% 100 31.9 (m/s)
ᰍ⩥ᵝʑᨱෙ⣮ᗮᮥ⇵ᱶ⦽đŝ۵Table 6ᨱӹ┡ԙsŝ
z݅. Table 6ᨱᕽƱప⩥ᰆ᮹ᰍ⩥ᵝʑ100֥ᨱ⧕ݚࡹ۵ʑᅙ⣮
ᗮᮡ1907֥ᯕ⬥᮹ᱥℕᯱഭෝᔍᬊ⦽Ğᬑ44.1m/s(ᖁ⩶⫭ȡᇥ ᕾ), 53.9m/s(MCP)ಽ ӹ┡ԍḡอ, 1964֥ ᯕ⬥᮹ ⣮ᗮᯱഭอ
ᯕᬊ⦹ᩡᮥĞᬑᨱ۵26.3m/s(ᖁ⩶⫭ȡᇥᕾ), 31.9m/s(MCP)ಽ
ӹ┡ԍ݅. Table 5ᨱᕽ ʑᔢݡ᮹ᰆʑ⣮ᗮᯱഭᨱ᮹⦽⣮ᗮᯕ
bb41.8m/s, 24.6m/sᯙäŝእƱ⦹໕⧕ᦩḡᩎᨱᯙᱲ⦽Ʊప
⩥ᰆᨱᕽ᮹⣮ᗮᯕᅕ݅Ⓧí⇵ᱶ⦹Łᯩᮭᮥᙹᯩ݅. əญŁ
3.2.2ᱩᨱᕽᨙɪ⦽ၵ᪡zᯕ⣮ᗮᯱഭ᮹ʑeᨱ⣮ᗮ⇵ᱶᨱ
ฯᮡ ₉ᯕa ᯩᮭᮥ ᅕᩍᵝŁ ᯩ݅. ੱ⦽ ᔢššĥᇥᕾ ႊჶᨱ
᮹⧕ᕽࠥ₉ᯕaӹŁᯩᮭᮥᙹᯩ۵ߑ, ၵ௭ŝzᮡᇩȽ⊺ᱢᯙ
ᯱഭᨱᕽḡ⩶ᱢᩢ⨆ᮥŁಅ⦹໕ࢱḡᱱᨱᕽš⊂ࡽၵ௭ᯱഭ᮹
ᔢšĥᙹa1ᯙĞᬑaÑ᮹ᨧʑভྙᨱᔢšĥᙹ᪡⢽ᵡ⠙₉ෝ
Łಅ⦽ᖁ⩶⫭ȡᇥᕾႊჶᨱ᮹⦽⣮ᗮ⇵ᱶᮥᱽᦩ⦹Łᯱ⦽݅.
əญŁ, MCP ႊჶᯕᖁ⩶⫭ȡᇥᕾᨱ᮹⦽Ğᬑᅕ݅đŝsᮥ
׳í⇵ᱶ⦹۵ߑ, ᯕ۵MCP ႊჶᨱᕽᔢšĥᙹ(<1)ෝŁಅ⦹ḡ
ᦫŁᯩᨕFigure 6ᨱᕽ᪡zᯕᔢššĥ᮹ʑᬙʑaᖁ⩶⫭ȡᇥ ᕾ ႊჶᨱ እ⧕ Ⓧʑ ভྙᯙ äᮝಽ ᔾbࡽ݅.
ᅙ ᩑǍ۵ ݉ᯝ ḡᩎ᮹ Ğᬑᨱ ǎ⦽ࡹᨕ ᯩᮝအಽ ᯝၹᱢᯙ
Ğ⨆ᮥ⪶ᯙ⦹ʑ᭥⧕ḡ⩶ᱢᩍÕᮥŁಅ⧁ᙹᯩ۵ᩍ్⩥ᰆᨱᕽ
ᯝಉ᮹ᔢššĥᇥᕾᮥᙹ⧪⦽݅໕᳦⧊ᱢᮝಽࢱႊჶᨱ᮹⦽
ʑᅙ⣮ᗮ ᔑᱶ᮹ ₉ᯕෝ ᅕ݅ ⪶⯩ Ƚ⧁ ᙹ ᯩᮥ äᯕ݅.
5. đು
Ʊప⩥ᰆ᮹ᰆʑš⊂ᯱഭෝ⪶ᅕ⦹ʑ᭥⧕ᕽ۵⩥ᰆ᮹ၵ௭
š⊂┲݉ʑᬕᩢŝᵝᄡʑᔢݡ᮹ᔢššĥᇥᕾᨱ᮹⦽ʑᔢݡ
ᰆʑš⊂ᯱഭ᮹⪽ᬊᯕ⬉ŝᱢᯕ݅. ੱ⦽, ⩥ᰆ᮹š⊂┲ᬕᩢᨱᕽ
ᮥᙹᯩ۵ᵝ⣮⨆, ᩢb, ӽඹvࠥ, ḡ⢽᳑ࠥĥᙹ, ӽඹᜅ⟺✙ౝ
ᮝಽᇡ░ Ʊప᮹ ԕ⣮ ᦩᱶᖒᮥ á☁⧁ ᙹ ᯩ݅.
ᅙᩑǍ᮹ݡᔢᯙ༊⡍ḡᩎ᮹Ğᬑš⊂ᗭᯕᱥᮝಽš⊂᭥⊹ᨱ
ᖙə൚᮹š⊂ᯱഭa᳕ᰍ⦹Ł⩥ᰍ᮹༊⡍ʑᔢݡ⣮ᗮᯱഭ (ə൚3)aእƱᱢṈᮡʑeᯕ݉ᯝḡᩎ᮹ᰆʑeš⊂ᯱഭᨱ
እ⧕⧕ᕾđŝ᮹ᝁᖒᮥ׳ᯕʑᨕಅᬕ⦽ĥaᯩ݅. 1997֥
ᯕᱥ᮹ᯱഭ۵࠺ᯝš⊂ḡᩎᯕᦥܩ⫭ȡᇥᕾᮥၵಽᱢᬊ⦹۵
ߑᨕಅᬡᯕᯩᨕʑᔢš⊂ᗭ᮹᭥⊹ᨱෙǍ෪ḡᩢ⨆ᮥᱢᱩ⯩
ᅕᱶ⦹ᩍ ᄡ࠺ᖒᮥ ᵥᯕŁᯱ ⦹ᩡ݅.
ᰆʑᯱഭᨱ᮹⦽ᰍ⩥ʑe100֥᮹ʑᅙ⣮ᗮᮡ⣮ᗮᯱഭ᮹ʑ eᨱ1907֥ᯕ⬥᮹ᱥℕᯱഭෝᔍᬊ⦽Ğᬑ41.8m/sᯕӹ, 1964֥ᯕ⬥᮹⣮ᗮᯱഭอᯕᬊ⦹ᩡᮥĞᬑᨱ۵24.6m/sᮝಽฯ
ᮡ₉ᯕaӽ݅. ᰆʑᯱഭ᮹ᯕᬊᮡš⊂ᗭ᮹ᯕᱥ, š⊂ᰆእ᮹
ᖒ܆, ᯱഭ᮹šญ॒ᨱᝁࠥa₉ᯕӹအಽš⊂ᯱഭ᮹
ḩᮥ ׳ᯕ۵ יಆᯕ ⦥⦹݅Ł ᅙ݅.
ᔢššĥᇥᕾᮡᖁ⩶⫭ȡᇥᕾႊჶŝMCP ႊჶᮥᯕᬊ⦹ᩡ۵ ߑ, ᰍ⩥ᵝʑ 100֥᮹ ʑᅙ⣮ᗮᮡ 1907֥ ᯕ⬥᮹ ᱥℕ ᯱഭෝ
ᔍᬊ⦽Ğᬑ44.1m/s(ᖁ⩶⫭ȡᇥᕾ), 53.9m/s(MCP) ᯕŁ, 1964
֥ᯕ⬥᮹⣮ᗮᯱഭอᯕᬊ⦹ᩡᮥĞᬑᨱ۵26.3m/s(ᖁ⩶⫭ȡᇥ ᕾ), 31.9m/s(MCP)ᮝಽMCP ႊჶᯕᖁ⩶⫭ȡᇥᕾႊჶᨱእ⧕
Ⓧí⇵ᱶࡹᨩ݅. ᯕ۵MCP ႊჶᨱᕽᔢšĥᙹෝŁಅ⦹ḡᦫŁ
ᯩᨕᔢššĥ᮹ʑᬙʑaᖁ⩶⫭ȡᇥᕾႊჶᨱእ⧕Ⓧʑভྙ
ᯙ äᮝಽ ᔾbࡽ݅.
ᯕᔢ᮹ᩑǍ۵݉ᯝḡᩎᨱݡ⦽đŝಽᕽ, ᅙᩑǍ᪡⧉̹⨆⬥
ᩍ్⩥ᰆᨱᕽᯝಉ᮹ᔢššĥᇥᕾᮥ ᙹ⧪⦽݅໕᳦⧊ᱢᮝಽ
ࢱႊჶᨱ᮹⦽ʑᅙ⣮ᗮᔑᱶ᮹₉ᯕෝᅕ݅⪶⯩ᅕᩍᵥᙹ
ᯩᮥ äᯕ݅.
qᔍ᮹ɡ
ᯕםྙᮡḡᩎʑᚁ⩢ᝁᔍᨦ⪙ԉ/ᱽᵝǭ⣮⪹Ğ༉ߙၰԕ⣮
ʑᚁ}ၽ(ԕ⣮ʑᚁᩑǍ݉, KWERC)ŝᱽ(2005~2010)᮹ᱽ1 ᖙᇡŝᱽᯙᰆݡƱపԕ⣮ʑᚁⓕ్ᜅ░Ǎ⇶ᩑǍđŝ᮹ᯝᇡ᯦
ܩ݅.
Appendix 1. Results of Correlation Analysis of Wind Speed
Linear regression analysis result using corrected data Linear regression analysis result using raw data y= 1.0301x + 0.8431
R=0.868 R2=0.754 Sx=1.675 Sy=1.989 Syx=0.986
y= 1.1048x + 1.0913 R=0.868 R2=0.754 Sx=2.022 Sy=2.572 Syx=1.276
MCP analysis result using corrected data MCP analysis result using raw data y= 1.1874x + 0.771
R=0.858 R2=0.737 Sx=1.675 Sy=1.989 Syx=1.020
y= 1.2724x + 0.6176 R=0.858 R2=0.737 Sx=2.022 Sy=2.572 Syx=1.320 where, x : wind data at reference site
y : wind data at target site R : correlation coefficeint R2 : reduction factor
Sx : standard deviation of wind data at reference site Sy : standard deviation of wind data at target site Syx : conditional standard deviation
References
Kwon, S. D. and Lee, S. L. (2009). “Estimation of design wind velocity based on short term measurements.” Journal of KSCE, Vol. 29, No. 3A, pp. 209-216 (in Korean).
Kwon, S. D. and Lee, J. H. (2008). “Estimation of extreme wind speeds in southern and western coasts by typhoon simulation.”
Journal of KSCE, Vol. 28, No. 4A, pp. 431-438 (in Korean).
Anthony L. Rogers, John W. Rogers, and James F. Manwell (2005).
