• 한국환경과학회지
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• 제4권2호
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• pp.117-120
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• 1995

The comparision of sunshine duration meter was carried out on the roof of Korea Meteorological Research Institude by comparing Pyrheliometer(Eppley NIP model) to sunshine duration meter(Reflection type) during from Nov. 8, 1989 to Feb. 19, 1990. In the observation Period, daily mean sunshine duration time difference of Jordan sunshine duration meter was recorded 0.47hour and Reflect sunshine duration meter was recorded 0.39hour. More than one hour time difference was observed 15 cases by Jordan sunshine duration meter and 11 cases by Reflect sunshine duration meter.

• 한국태양에너지학회 논문집
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• 제30권2호
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• pp.16-21
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• 2010

Computer simulation of buildings and solar energy systems are being used increasingly in energy assessments and design. This paper discusses the possibility of using sunshine duration data instead of global hourly solar irradiation (GHSI) data for localities with abundant data on sunshine duration. For six locations in South Korea where global radiation is currently measured, the global radiation was calculated using Sunshine Duration Radiation Model (SDRM), compared and analyzed. Results of SDRM has been compared with the measured data on the coefficients of determination (R2), root-mean-square error (RMSE) and mean bias error (MBE). This study recommends the use of sunshine duration based irradiation models if measured solar radiation data is not available.

• 대기
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• 제24권1호
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• pp.17-27
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• 2014

In this study, the observational environment for sunshine duration at Seoul and Daegu Automated Synoptic Observing Systems (ASOSs) was analyzed using a numerical model. In order to analyze the effects of topography and buildings on observational environment for sunshine duration, the model domains including the elevated building and mountainous areas around Seoul and Daegu ASOSs were considered. Three dimensional topography and buildings used as input data for the numerical model were constructed using a geographic information system (GIS) data. Solar azimuth and altitude angles calculated for the analysis period (one-week for each season in 2008) in this study were validated against those by Korea Astronomy and Space Science Institute (KASI). The starting and ending times of sunshine duration observed at ASOSs largely differed from the respective sunrise and sunset times simply calculated using solar angles and information of ASOSs' latitude and longitude, because uneven topography and elevated buildings around ASOSs cut off sunshine duration right after the sunrise and right before the sunset. The model produced the sunshine indices for Seoul and Daegu ASOSs with the time interval of one minute and the period of one week for each season and we compared the hourly averaged indices with those observed at the ASOSs. One week of which the cloudiness is lowest for each season is selected for analysis. Not only the adjacent buildings but also distant buildings and mountain cut off sunshine duration right after the sunrise and right before the sunset. The buildings and topography cutting off sunshine duration were found for each analyzing date. It was suggested that, in order to evaluate the observational environment for sunshine duration, we need to consider even the information of topography and/or building far away from ASOSs. This study also showed that the analyzing method considering the GIS data is very useful for evaluation of observational environment for sunshine duration.

• 설비공학논문집
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• 제17권3호
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• pp.277-284
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• 2005

The purpose of this study is to analyze the effect of sunshine on the heating energy consumption of apartment houses by a field investigation in Haeundae, Busan. In the field, heating energy consumption of every household is researched by reading a calorimeter and the duration of sunshine of every household is calculated by Sunlight V1.0. Then, the duration of sunshine and heating energy are done regression analysis by SPSS 10. According to this study the apartment houses by orientation spend more energies order of east, west, southeast, southwest, and south. When apartment houses are same orientation, there is difference of $29{\sim}58\%$ in heating energy consumption by the duration of sunshine. And the heating energy consumption in worst condition of sunshine increases $67\%$ on the best condition of sunshine.

• 한국환경과학회지
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• 제5권3호
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• pp.253-263
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• 1996

This study is an attempt to classify climatic regions of Korea based on the data of sunshine duration and to clarify the characteristics of sunshine for each divided regions. The data used in this study are the mean values of monthly and ten-daily sunshine duration, sunshine percentage, solar radiation and proud amount obtained from 63 weather stations of the Korea Meteorological Administration during the period of 1974~ 1993. The characteristics of annual change of sunshine percentage, annual duration of sunshine, percentage of sunshine, annual radiation, amount of cloud, days of sunshine percentage above 80% and-days of sunless are investigated by the mean values of -the stations belong to divided regions. The ward method of hierarchical cluster analysis is adopted to the analysis of data for the regional division. The results obtained in this study are summarized as follows. (1) The sunshine regions of Korea can be divided into six regions of the central west, central east, south west, souls east, Ullung-do and Cheju-do. These are strongly affected by the dirtribution of inclined slopes taking account of the topographic characteristics of Korea. (2) Annual distribution shows the sunshine duration of 1777~ 2287 hours, sunshine percentage of 40~53%, solar radiation of 3469~4637 MJ/$m^2$, cloud amount of 5.0~6.1, days of sunshine perrentage above 80% of 53~116days and sunless days of 46~71days. (3) The types of annual change of sunshine percentages is classified with four types of minimum in July and maximum in October, minimum in July and maximum in December, high in May and October and low in July and January, high in May and November and low in June and January. (4) The long-term trend of sunshine duration decrease in peninsula area but increase in island area and the Tong-term inclination of cloud amount is almost zero. The author believe this tendency is related to a pollutional turbidity than a cloud amount in inland area.

• 대한원격탐사학회지
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• 제31권4호
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• pp.331-336
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• 2015

In this study, a numerical model developed for sunshine duration based on GIS data was used. This model considers blocking caused by topography and buildings and it is properly applicable to evaluation of sunshine duration environment in urban areas. The model reasonably well predicted the solar altitude and azimuth angels, compared to those provided by Korea Astronomy and Space Science Institute (KASI). The developed model was applied to evaluation of sunshine duration environment around the Seonleung Park located near a building-congested area in Seoul. The model well reproduced shadow caused by buildings and/or topography in the numerical domain at 09:00 on August 1, 2015. In addition, the model was applied to finding a suitable measurement sites for pyrheliometer around the Seonleung Park. The model was also usefully applied to finding a suitable site for pyrheliometer in an urban area.

• 한국지리정보학회지
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• 제17권3호
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• pp.116-131
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• 2014

본 연구에서는 3차원 지형 지물의 일조 차단 효과를 반영한 일조 모델을 이용하여 도시 지역의 일조 환경을 분석하였다. 기존의 일조 모델은 격자셀 단위로 일조 차단 유무를 판별하기 때문에, 건물이나 지형물 모서리 부분의 일조 유무를 판단 할 때에는 오차가 유발될 수 있었다. 본 연구에서는 기존의 격자셀 단위의 일조 판별 알고리즘을 격자셀의 면 단위로 개선하였다. 개선된 일조 모델과 부산광역시 대연동 일부 지역에 대한 지리정보시스템(Geographic Information System, GIS) 자료를 이용하여 계절별 시간별 일조 환경을 분석하였다. 3차원 지형 자료에 대한 계절별 일조 환경을 분석한 결과, 대상 지역 내에 위치한 아파트 단지, 고층 건물, 지형 등의 영향으로 일조량 변화가 발생하였다.

• 한국농림기상학회지
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• 제16권1호
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• pp.83-91
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• 2014

1973년부터 2010년까지의 38년 동안의 순별 누적 일조시간을 평년값과 비교하여 표준편차법으로 이상다조와 이상과조의 출현횟수를 시 공간적으로 분석하였다. 과거 38년 동안 이상일조의 출현횟수는 연 평균 1.24회(이상다조 0.55회, 이상과조 0.69회)로 조사되었다. 연도별로는 2001년에 이상다조의 출현횟수가 2.37회로 가장 많았고, 이상과조의 출현횟수는 2010년에 1.95회로 가장 많았다. 연대별 이상다조의 연간 출현횟수는 1970년대의 1.26회에서 2000년대의 0.47회로 크게 감소한 반면에, 이상과조의 연간 출현횟수는 1980년대의 0.39회에서 2000년대의 0.98회로 증가하는 경향을 나타내었다. 농업기후지대로 구분하여 분석하면, 과거 38년 동안 이상다조의 출현횟수가 가장 많았던 농업기후지대는 중부내륙지대로서 연 평균 1.35회이었고, 이상다조의 출현횟수가 가장 적었던 농업기후지대는 영남내륙산간지대로 0.21회였다. 반면에 과거 38년 동안 이상과조의 출현횟수가 가장 많았던 농업기후지대는 동해안남부지대로 연 평균 0.97회이었고, 이상과조의 출현횟수가 가장 적었던 농업기후지대는 소배산간지대(충주, 보은 등)로 연 평균 0.48회이었다.

• 대기
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• 제23권3호
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• pp.275-282
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• 2013

In this study, the numerical model was developed to evaluate the observational environment of sunshine duration and, for evaluating the accuracy and utility of the model, it was verified against the observational data measured at Dae-gu Automated Synoptic Observing System (ASOS) located in an urban area. Three-dimensional topography and building configuration as the surface input data of the model were constructed using a Geographic Information System (GIS) data. First, the accuracy of the computing planetary positions suggested by Paul Schlyter was verified against the data provided by Korea Astronomy and Space Science Institute (KASI) and the results showed that the numerical model predicted the Sun's position (the solar azimuth and altitude angles) quite precisely. Then, this model was applied to reproduce the sunshine duration at the Dae-gu ASOS. The observed and calculated sunshine durations were similar to each other. However, the observed and calculated sunrise (sunset) times were delayed (curtailed), compared to those provided by KASI that considered just the ASOS's position information such as latitude, longitude, and elevation height but did not consider the building and topography information. Further investigation showed that this was caused by not only the topographic characteristic (higher in the east and lower in the west) but also the buildings located in the southeast near the sunrise and the southwest near the sunset. It was found that higher building resolution increased the accuracy of the model. It was concluded that, for the accurate evaluation of the sunshine duration, detailed building and topography information around the observing sites was required and the numerical model developed in this study was successful to predict and/or the sunshine duration of the ASOS located in an urban area.

• 한국농림기상학회지
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• 제18권4호
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• pp.233-241
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• 2016

기상청에서 제공하는 넓은 지역의 수평면 일조시간 정보를 복잡한 산간집수역의 지형특성을 반영한 실제 일조시간 분포도로 변환하기 위해 지형효과를 정량화하기 위한 실험을 수행하였다. 경남 하동군 악양면 단일 집수역을 대상으로 정밀 DEM을 이용하여 그림자모형화 및 공제선분석 기법을 적용하여 일중 시간대별 음영기복도 1년 자료를 제작하였다. 2015년 5월 15일부터 2016년 5월 14일까지 1년 간 지형조건이 서로 다른 3지점에서 바이메탈식 일조계로 측정한 일조시간자료에 음영기복도 상 해당 지점의 휘도값을 추출하여 회귀시킴으로써 맑은 날의 휘도-일조시간 반응곡선을 얻었다. 이 곡선식을 하늘상태(운량)에 따라 보정할 수 있는 방법을 고안함으로써 일조시간 상세화 모형을 도출하였다. 이 모형의 신뢰도를 기존 수평면 일조시간 추정기법과 비교한 결과 추정값의 편의가 크게 개선된 것은 물론, 일적산일조시간 기준 RMSE가 1.7시간으로 지형효과를 반영하기 전보다 37% 이상 개선되었다. 어떤 지역을 대상으로 일조시간을 상세화 하기 위해서는 먼저 대상 지역의 매 시간 음영기복도의 격자점 휘도를 모형에 입력시켜 해당 시간대의 청천 일조시간을 추정한다. 다음에 같은 시간대의 기상청 동네예보(하늘상태)에 의해 구름 효과를 보정한다. 이렇게 추정된 매 시간 일조시간을 하루 단위로 적산하여 그 날의 누적 일조시간을 얻는다. 이 과정을 연구대상 집수역에 적용하여 수평 해상도 3m의 정밀한 일조시간 분포도를 얻을 수 있었다.