• Journal of Agricultural Extension & Community Development
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• v.20 no.2
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• pp.511-533
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• 2013

The study used a seasonal ARIMA model to forecast the number of tourists to Kyeongju foreign in a uni-variable time series. Time series monthly data for the investigation were collected ranging from 1995 to 2010. A total of 192 observations were used for data analysis. The date showed that a big difference existed between on-season and off-season of the number of foreign tourists in Kyeongju. In the forecast multiplicative seasonal ARIMA(1,1,0) $(4,0,0)_{12}$ model was found the most appropriate model. Results show that the number of tourists was 694 thousands in 2011, 715 thousands in 2012, 725 thousands in 2013, 738 thousands in 2014, and 884 thousands in 2015. It was suggested that the grasping of the Kyeongju forecast model was very important in respect of how experts in tourism development, policy makers or planners would establish marketing strategies to allocate services in Kyeongju as a tourist destination and provide tourism facilities efficiently.

• The Korean Journal of Soil Zoology
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• v.5 no.2
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• pp.133-137
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• 2000

Community and distribution of Coleoptera were investigated in 4 different regional areas (Danseoksan, Tohamsan, Namsanm and Daebon) of Kyeougju National Park from June 17, 1997 to Oct. 30, 1997 by sweeping net method. 565 individuals belonging to 139 species, 115 genera in 30 families were collected. Species diversity was much higher in the areas of Tohamsan and Danseoksan (0.716 and 0.762, respectively) than the other areas because of the good plantation for the leaf beetles. In the family Chrysomelidae, Tohamsan area revealed very high Simpson diversity index, a 0.916. On the other way, Simpson diversity index was 0 in Daebon area which had very simple plantation with beach side and pine trees. Chrysomelidae was the most abundant; 270 individuals belonging to 45 species of 34 genera. Among them, Mordellina brunneotincta Marseul was the highest frequency. And then, the species of Coccinellidae, Alleculidae, Cerambycidae, Attelabidae and Curculionidae were mostly abundant in all regional area. Stigmatium pilosellum Gorham, Mordellina brunneotincta Marseul and Rhaphirtropis guttifer Sharp were newly recorded in Korea.

• Economic and Environmental Geology
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• v.43 no.5
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• pp.467-475
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• 2010

The Landsat and ASTER data have been used in mineralogical and lithological studies, and they have also proved to be useful tool in the initial steps for mineral exploration throughout Nevada mining district, US. Huge pyrophyllite quarry mines, including Jungang, Samsung, Kyeongju, and Naenam located in the southeastern part of Gyeongsang Basin. The geology of study area consists mainly of Cretaceous volcanic rocks, which belong into Cretaceous Hayang and Jindong Group. They were intruded by Bulgugsa granites, so called Sannae-Eonyang granites. To extraction of Ratio model for pyrophyllite deposits, tuffaceous rock and pyrophyllite ores from the Jungang mine used in reflectance spectral analysis and these results were re-sampled to Landsat and ASTER bandpass. As a result of these processes, the pyrophyllite ores spectral features show strong reflectance at band 5, whereas strong absorption at band 7 in Landsat data. In the ASTER data, the pyrophyllite ores spectral features show strong absorption at band 5 and 8, whereas strong reflectance at band 4 and 7. Based on these spectral features, as a result of application of $Py_{Landsat}$ model to hydrothermal alteration zone and other exposed sites, the DN values of two different areas are 1.94 and 1.19 to 1.49, respectively. The differences values between pyrophyllite deposits and concrete-barren area are 0.472 and 0.399 for $Py_{ASTER}$ model, 0.452 and 0.371 for OHIb model, 0.365 and 0.311 for PAK model, respectively. Thus, $Py_{ASTER}$ and $Py_{Landsat}$ model proposed from this study proved to be more useful tool for the extraction of pyrophyllite deposits relative to previous models.