[보고서]개방형 캐노피 내부의 열과 운동량 전달에 관한 연구

이영희

개방형 캐노피 내부의 열과 운동량 전달에 관한 연구
A study on heat and momentum transfer within open canopies 원문보기

보고서 정보
주관연구기관	경북대학교 KyungPook National University
연구책임자	이영희
참여연구자	임희정 , 김수진 , 이하늘 , 최수빈 , 홍선옥
보고서유형	3단계보고서
발행국가	대한민국
언어	한국어
발행년월	2012-01
과제시작연도	2011
주관부처	기상청
사업 관리 기관	기상청 Korea Meteorological Administration
등록번호	TRKO201200001085
과제고유번호	1365001128
사업명	기상기술개발사업
DB 구축일자	2013-04-18
키워드	Sweep-ejection 순환.간헐성.군집성.평평하지 않은 지표면.도시캐노피.Sweep-ejection cycle.intermittency.clustering.non-flat terrain.urban canopy.

초록

식생밀도가 낮은 개방형 산림지와 지형 굴곡이 있는 개방형 도시 캐노피 내부에서 관측된 난류자료와 기온과 풍속의 연직 profile 자료를 이용하여 다음의 분석을 실시한다.
○ Sweep-ejection cycle과 난류 변수들의 확률분포 특성과의 관계분석
○ 열과 운동량에 대한 sweep-ejection cycle을 캐노피 꼭대기에서의 시어길이와 국지안정도의 관점에서 분석
○ 도시 캐노피 난류자료에 대한 기본 통계분석과 자연캐노피 결과와 비교분석
○ 다중분해분석을 통한 coherent 에디 플럭스 분석

Abstract ▼

Using measured turbulence and profiles of wind and temperature within open canopy, we examine following topics.
○ Analysis on relationship between sweep-ejection cycle and probability distribution of turbulence
○ Analysis of sweep-ejection cycle in terms of shear length and local stability
○ Analysis of basic turbulent statistics of urban canopy on non-flat terrain in comparison with natural canopy
○ Analysis of contribution of coherent motion to heat and momentum transfer using multi-resolution analysis within open canopies on non-flat terrain.

목차 Contents

표지 ... 1
제출문 ... 2
보고서 요약서 ... 3
요약문 ... 4
SUMMARY ... 6
CONTENTS ... 9
목차 ... 11
List of Figures ... 13
List of Tables ... 16
제 1 장 연구개발과제의 개요 ... 17
제 2 장 국내외 기술개발 현황 ... 19
제 3 장 연구개발수행 내용 및 결과 ... 20
제 1 절 Sweep-ejection Cycle의 분석 ... 20
1. 자료와 방법 ... 20
2. Sweep-ejection cycle의 특성 ... 21
제 2 절 간헐성 분석 ... 25
1. 자료와 방법 ... 25
가. 자료 ... 25
나. 분석방법 ... 25
2. 결과 ... 27
가. 기본 난류 특성 ... 27
나. 군집계수 ... 28
다. 펄스간 시간 간격의 확률분포 ... 31
라. 간헐성 계수 ... 34
마. 구조함수의 첨도 ... 36
제 3 절 굴곡이 있는 도시의 개방형 캐노피내부에서 Coherent eddy 구조 ... 39
1. 자료 및 방법 ... 39
가. 자료 ... 39
나. 다중분해 분석법 ... 40
2. 결과 ... 41
가. 평균바람 특성 ... 41
나. 풍향에 따른 기본 난류 통계 특성 ... 43
다. 조건부 분석 ... 45
라. 다중 분해 분석 ... 46
제 4 장 목표달성도 및 관련분야에의 기여도 ... 49
제 5 장 연구개발결과의 활용계획 ... 50
제 6 장 연구개발과정에서 수집한 해외과학기술정보 ... 51
제 7 장 연구개발결과의 보안등급 ... 52
제 8 장 국가과학기술종합정보 시스템에 등록한 연구시설ㆍ장비현황 ... 53
제 9 장 참고문헌 ... 54
[붙임1] 연구개발결과 활용계획서 ... 57
[붙임2] 기술 요약서 ... 60
[첨부 2] 연구개발결과의 보안 등급 ... 65
[첨부 3] 국가연구시설ㆍ장비 정보 및 등록 현황 ... 66

표/그림 (29)

표 Fig. 1 Measured △S0 for heat flux in terms of (a) shear length and (b) local stability, and momentum flux in terms of (c) shear length and (d) local stability in pine site.
표 Fig. 2 Measured △S0 for heat flux in terms of (a) shear length and (b) local stability, and momentum flux in terms of (c) shear length and (d) local stability in juniper site.
표 Fig. 3 The modelled △S0 plotted against measured △S0 for heat flux in (a) pine site, (b) juniper site, and for momentum flux in (c) pine site, (d) juniper site.
표 Fig. 4 The modelled △S0 plotted against measured △S0 for heat flux in (upper left) case 1 and (upper right) case 2. Joint probability density distribution for w and θ in (lower left) case 1 and (lower right) case 2.
표 Fig. 5 A comparison between measured and third-oder cumulant expansion estimated pdf for (upepr left) temperature and (lower left) vertical velocity in case 1, and (upper right) temperature and (lower right) vertical velocity in case 2.
표 Turbulent statistics for case 1 and 2. Difference means root mean square difference between
표 Summary of basic turbulent statistics of selected data at two study sites. The values in
표 Fig. 6 Example of a measured temperature (a) and horizontal velocity (c) fluctuation time series and their telegraph approximations (b), (d) within the crown in unstable condition. Dotted line in (a) and (c) represents zero line. The a in (b) and (d) is clustering exponent.
표 Fig. 7 Example of a measured temperature (a) and horizontal velocity (c) fluctuation time series and their telegraph approximations (b), (d) above the canopy in unstable condition. Dotted line in (a) and (c) represents zero line. The a in (b) and (d) is clustering exponent.
표 Fig. 8 Ensemble-averaged standard deviations for the running zero-crossing density fluctuations during unstable conditions for longitudinal velocity (a), vertical velocity (b), and temperature (c) at all three measurement height as a function of the scale  for pine site. The solid line indicates the values for white noise: (d), (e), (f): same as (a), (b), (c) but for stable conditions at two levels.
표 Fig. 9 Ensemble-averaged standard deviations for the running zero-crossing density fluctuations during unstable conditions for longitudinal velocity (a), vertical velocity (b), and temperature (c) at all two measurement height as a function of the scale  for juniper site. The solid line indicates the values for white noise: (d), (e), (f): same as (a), (b), (c) but for stable conditions.
표 Summary of ensemble averaged clustering exponents at two study sites. The value of
표 Fig. 10 Ensemble-averaged probability density functions of inter-pulse period for longitudinal velocity (a), vertical velocity (b), and temperature (c) during unstable conditions at juniper site. Solid line and dashed lines represent the log-normal and power law fit, respectively. (d), (e), (f) : same as (a), (b), (c), but for stable conditions.
표 Fig. 11 Ensemble-averaged probability density functions of inter-pulse period for longitudinal velocity (a), vertical velocity (b), and temperature (c) during unstable conditions at pine site. Solid line and dashed lines represent the log-normal and power law fit, respectively. (d), (e), (f) : same as (a), (b), (c), but for stable conditions.
표 Summary of coefficients for the probability density function
표 Fig. 12 Scatter plot of  , a surrogate for the variance of the log-normal distribution fit applied to probability density functions of the inter-pulse periods and the ensemble-averaged clustering exponent a for all stability classes and flow variables.
표 Fig. 13 Vertical profiles of the ensemble-averaged intermittency exponent for TA of longitudinal velocity, vertical velocity, and temperature for unstable conditions (a) and stable conditions (b) at pine site. Vertical profiles of the ratio of ensemble-averaged  to ? for unstable conditions (c) and stable conditions (d) at pine site. Symbol and horizontal bar indicates mean and standard deviation of variables, respectively. To avoid overlapping of horizontal bar, plotting of each variable is shif
표 Fig. 14 Vertical profiles of the ensemble-averaged intermittency exponent for TA of the longitudinal velocity, the vertical velocity, and the temperature for unstable conditions (a) and stable conditions (b) at juniper site. Vertical profiles of the ratio of ensemble-averaged  to ? for unstable conditions (c) and stable conditions (d) at juniper site. To avoid overlapping of horizontal bar, plotting of each variable is shifted a little bit in the vertical from original height.
표 Fig. 15 Ensemble-averaged kurtosis of structure function for longitudinal velocity (a), vertical velocity (b), and temperature (c) as a function of  during unstable conditions at pine site. Solid line represents the Gaussian value. (d), (e), (f): same as (a), (b), (c) but for stable conditions.
표 Fig. 16 Ensemble-averaged kurtosis of structure function for longitudinal velocity (a), vertical velocity (b), and temperature (c) as a function of t during unstable conditions at juniper site. Solid line represents the Gaussian value. (d), (e), (f): same as (a), (b), (c) but for stable conditions.
표 Fig. 17 (Upper) Geographical map of the site location, the value in the figure indicates terrain elevation, letter O denotes study site and letter M denotes Korean Meteorological station of Daegu, (lower) Photograph of the study site looking south from the building at the north in December.
표 Fig. 18 (a) The distribution of wind direction at 5 m and 10 m at study site and Daegu station and (b) the distribution of wind direction at 5 m during period 1 and period 2.
표 Fig. 19 The mean diurnal variation of wind at two levels during (a) period 1 and (b) period 2.
표 Fig. 20 (a) u skewness, (b) v skewness, (c) w skewness, (d) uw correlation, (e) vw correlation, (f) turbulence intensity as a function of wind direction at 5 m. The error bar indicates standard deviation of each variable in each bin.
표 Fig. 21 (a) The distribution of frequency occurrence as function of wind direction difference between 5 m and 10 m and (b) Mean wind direction difference as a function of wind direction at 5 m.
표 Fig. 22 The directional dependence of ratio of (a) inward to outward interaction and (b) ejection to sweep for longitudinal momentum flux
표 Description of quadrants for momentum fluxes. ruw is correlation coefficient between
표 Fig. 23 Multi-resolution decomposition of (a) uw momentum flux, (b) uw correlation coefficient, (c) variance of u and (d) variance of w for easterly (square?), southerly (dot?) and westerly (circle ?)
표 Fig. 24 Multi-resolution decomposition for (a) longitudinal momentum flux, (b) lateral momentum flux, (c) ruw and (d) rvw for three different wind direction differences for the westerly

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연합인증

개방형 캐노피 내부의 열과 운동량 전달에 관한 연구
A study on heat and momentum transfer within open canopies 원문보기