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연구논문 : 경주관광지의 이미지에 관한 실증적 연구 : 일본관광자측면에서
전원배 대한관광경영학회 1996 觀光硏究 Vol.7 No.-
This study contained in-depth information regarding Japanese tourists image who visited the Kyongju Historical inheritance and Tourist attraction complex based on their reflected views as well as survey analysis $quot;Before vs After$quot; completion of their trips. The research summary of subject are the following ; 1. An inquiry survey was conducted for both sexes of the tourists ; male and female, subsequent investigation and analysis indicated that both sexes represents their satisfactory impression higher after completion or the tour rather than prior to the trip. 2. The analysis of the image suvey for the tourist $quot;Before vs After$quot; their tour by age group; 20s, 30s, 40s, 50s and 60s also disclosed that the respondents maintains better attractive image prevail after end or their courses than their previous one 3. The image survey analysis for $quot;Before vs After$quot; their trip by the job category, in particular, the students reflected 26.2% in favor for the Before but jumping up to 75.6% preference for the After, more than three times higher. 4. The survey by the education level disclosed that as the higher education level goes, their image Before the tour were rated very low but refreshed the image upgrade After the trip 5. The analysis by the residential categories revealed that the resident or urban areas preferred the image or After than the rural resident.
전원배,최윤수,Shuai Pan,Daniel Price,황미경,김규랑,오인보 한국기상학회 2018 Asia-Pacific Journal of Atmospheric Sciences Vol.54 No.1
Oak pollen concentrations over the Houston-Galveston- Brazoria (HGB) area in southeastern Texas were modeled and evaluated against in-situ data. We modified the Community Multiscale Air Quality (CMAQ) model to include oak pollen emission, dispersion, and deposition. The Oak Pollen Emission Model (OPEM) calculated gridded oak pollen emissions, which are based on a parameterized equation considering a plant-specific factor (C e), surface characteristics, and meteorology. The simulation period was chosen to be February 21 to April 30 in the spring of 2010, when the observed monthly mean oak pollen concentrations were the highest in six years (2009-2014). The results indicated C e and meteorology played an important role in the calculation of oak pollen emissions. While C e was critical in determining the magnitude of oak pollen emissions, meteorology determined their variability. In particular, the contribution of the meteorology to the variation in oak pollen emissions increased with the oak pollen emission rate. The evaluation results using in-situ surface data revealed that the model underestimated pollen concentrations and was unable to accurately reproduce the peak pollen episodes. The model error was likely due to uncertainty in climatology-based C e used for the estimation of oak pollen emissions and inaccuracy in the wind fields from the Weather Research and Forecast (WRF) model.