• Journal of the Korean Association of Geographic Information Studies
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• v.17 no.2
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• pp.15-31
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• 2014

The purpose of this study is to assess the green environment on urban space and to suggest the sustainable green space planning. The study area is Dalseo-gu which has the biggest spatial imbalance of green space among 7 districts of Daegu. Three functions such as nature-ecological, environment-control, and usage function were established for assessing the green environment. For the assessment step of nature-ecological function, 'green connectivity' and 'animal movement' were used. Also,'thermal environment' and 'temperature decrease' were utilized in terms of environment-control function and 'green space's service supply' were utilized in terms of usage function. According to the results of integrated assessment, the green rich zone(Grade I) was 44.8% of total area in Dalseo and this zone was distributed along the southern forest of Mt. Ap and Mt. Biseul and the northern forest of Mt. Gung and Mt. Waryong. On the other hand, the green broken zone(Grade IV) was located in the residential areas of Gamsam and Jukjeon and the residential and industrial areas of Wolseong 1 and Jincheon and this zone was 5.5% of total area. The findings from this study can be used as the plan criteria for construction and distribution of green space in urban master plan.

• Korean Journal of Agricultural and Forest Meteorology
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• v.15 no.1
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• pp.40-49
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• 2013

Current service system of the Korea Meteorological Administration (KMA) for blooming date forecasting in spring depends on regression equations derived from long term observations in both temperature and phenology at a given station. This regression based system does not allow a timely correction or update of forecasts that are highly sensitive to fluctuating weather conditions. Furthermore, the system cannot afford plant responses to climate extremes which were not observed before. Most of all, this method may not be applicable to locations other than that which the regression equations were derived from. This note suggests a way to replace the location restricted regression equations with a thermal time based phenology model to complement the KMA blooming forecast system. Necessary parameters such as reference temperature, chilling requirement and heating requirement were derived from phenology data for forsythia, azaleas and Japanese cherry at 29 KMA stations for the 1951-1980 period to optimize spring phenology prediction model for each species. Best fit models for each species were used to predict blooming dates and the results were compared with the observed dates to produce a correction grid across the whole nation. The models were driven by the KMA's daily temperature data at a 5km grid spacing and subsequently adjusted by the correction grid to produce the blooming date maps. Validation with the 1971-2012 period data showed the RMSE of 2-3 days for Japanese cherry, showing a feasibility of operational service; whereas higher RMSE values were observed with forsythia and azaleas.

• Korean Journal of Plant Taxonomy
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• v.50 no.1
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• pp.27-55
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• 2020

We investigated the flora of Ibamsan Mt. and Baekamsan Mt., and discuss here important vascular plants found on these mountains. We created a plant list using voucher specimens collected from Ibamsan Mt. and Baekamsan deposited at CNU. There are 769 taxa in Ibamsan Mt. and Baekamsan Mt., consisting of 116 families, 403 genera, 687 species, 16 subspecies, 58 varieties, and 8 forms. Twenty-four endemic plants of Korea were found, including Coreanomecon hylomeconoides Nakai and Eranthis byunsanensis B. Y. Sun. There are 15 rare plants on Ibamsan Mt. and Baekamsan as designated by the Korea Forest Service, including Iris koreana Nakai and Chamaegastrodia shikokiana Makino & F. Maek., as well as 14 red-list plants as designated by the Ministry of the Environment, including Lycoris chinensis var. sinuolata K. Tae & S. C. Ko ex K. Tae & S. C. Ko and Cymbidium macrorhizon Lindl. In total, there are 133 taxa of floristic regional indicator plants, including four level V taxa, such as Iris koreana Nakai; ten level IV taxa, such as Lindera sericea (Siebold & Zucc.) Blume; 28 level III taxa, such as Botrychium japonicum (Prantl) Underw.; 22 level II taxa, including Hylomecon vernalis Maxim.; and 69 level I taxa, including Dryopteris erythrosora (D. C. Eaton) Kuntze. There are 37 invasive plants, including Rumex acetosella L. and Symphyotrichum pilosum (Willd.) G. L. Nesom.

• Korean Journal of Agricultural and Forest Meteorology
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• v.13 no.2
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• pp.101-108
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• 2011

Climate change could have a pronounced impact on natural and agricultural ecosystems. To assess the impact of climate change, projected climate data have been used as inputs to models. Because such studies are conducted occasionally, it would be useful to employ Cloud computing, which provides multiple instances of operating systems in a virtual environment to do processing on demand without building or maintaining physical computing resources. Furthermore, it would be advantageous to use open source geospatial applications in order to avoid the limitations of proprietary software when Cloud computing is used. As a pilot study, Amazon Web Service ? Elastic Compute Cloud (EC2) was used to calculate the number of days with rain in a given month. Daily sets of climate projection data, which were about 70 gigabytes in total, were processed using virtual machines with a customized database transaction application. The application was linked against open source libraries for the climate data and database access. In this approach, it took about 32 hours to process 17 billion rows of record in order to calculate the rain day on a global scale over the next 100 years using ten clients and one server instances. Here I demonstrate that Cloud computing could provide the high level of performance for impact assessment studies of climate change that require considerable amount of data.

• Korean Journal of Agricultural and Forest Meteorology
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• v.14 no.2
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• pp.71-78
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• 2012

Eupatilin, one of representative medical components of mugwort, can be efficiently extracted from the 'Gangwha Sajabalssuk'. The Eupatilin content may depend on environmental factors such as soil and regional climate in addition to a genetic factor and Gangwha region has a profitable environmental condition for the mugwort growth. In this study, the climatological characteristics of Gangwha was analyzed in order to find the environmental condition of mugwort containing high Eupatilin in term of atmospheric, oceanographic and land variables. The climate of Gangwha is characterized by the relatively low daily temperature and large diurnal variation with plenty of solar radiation, long sunshine duration and less cloudiness. According to our correlation analysis, the long sunshine duration and the large diurnal temperature variation are highly correlated with the Eupatilin contents. The result implies that Gangwha has the favorable conditions for the cultivation and the habitat of the high-Eupatilin concentrated mugwort. Because of the sea surrounding Gangwha Island with low salinity and moderate wind, the salt contained in sea breeze is relatively low compared to other regions. Furthermore, Gangwha has clean atmospheric environment compared to other regions because the concentrations of toxic gases harmful to crop growth such as nitrogen dioxide ($NO_2$), sulfite gas ($SO_2$) and fine dust (PM-10) are lower in the air. The ozone ($O_3$) concentration is moderate and within the level of natural production. It is also found that moderately coarse texture or fine loamy soils known as good for water drainage and for the growth and cultivation of the 'Gangwha-mugwort' are distributed throughout the areas around mountainous districts in Gangwha, coinciding with those of mugwort habitat.

• The Korean Journal of Applied Statistics
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• v.28 no.5
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• pp.977-990
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• 2015

Food delivery services are well developed in the Republic of Korea, The increase of one person households and the success of app applications influence delivery services these days. We consider a prediction model for the food delivery service based on weather and dates to predict the number of food delivery services in 2014 using various data mining techniques. We use linear regression, random forest, gradient boosting, support vector machines, neural networks, and logistic regression to find the best prediction model. There are four categories of food delivery services and we consider two methods. For the first method, we estimate the total number of delivery services and the posterior probabilities of each delivery service. For the second method, we use different models for each category and combine them to estimate the total number of delivery services. The neural network and linear regression model perform best in the first method, this is followed by the neural network which is the best for the second method. The result shows that we can estimate the number of deliveries accurately based on dates and weather information.

• Ecology and Resilient Infrastructure
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• v.8 no.2
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• pp.97-111
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• 2021

This study was conducted to develop a habitat type classification system and its map based on the ecological characteristics of species, spatial type, vegetation, topography, and geological conditions preferred by species. To evaluate the relationships between species and their habitats in Korean national parks, we prepared a classification standard table for systematic classification of habitat types. This classification system divides habitats into 6 low-level and 59 mid-level ecological classes based on habitat structure. The mid-level system divided forest ecosystems into 20 subtypes, stream and wetland ecosystems into 8 types, coastal ecosystems into 7 types, arable land into 6 types, development land into 9 types, and 1 type of marine ecosystem. A habitat classification map was drawn utilizing square images, detailed vegetation maps, and forest stand maps, based on the above habitat classification system, and it covered 1,461 plots spanning 21 national parks. The habitat classification system and survey protocol, which consider domestic habitat conditions, should be further developed and applied to habitat assessment, to enhance the utility of this study.

• The Journal of the Korean Institute of Forest Recreation
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• v.22 no.4
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• pp.23-33
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• 2018

The purpose of this research is to develop basic materials useful for the visiting management policies' establishment of national parks by analyzing the characteristics of and satisfaction with the visit to Hallyeohaesang National Park according to travel routes. For this, a total of 671 visitors to Hallyeohaesang National Park were recruited and field surveys were conducted three times in spring, summer, and fall from March to November 2017. The Hallyeohaesang national park's visitors were surveyed using a self-administered questionnaire about visitor characteristics (ex: motivation of visiting, travel routes, travel time, and participating activities, etc.) and satisfaction (ex: satisfaction with the visit, intention to revisit, and intention to recommend). SPSS 21.0 program was used for the statistical analysis: frequency analysis and independent-samples t-test analysis. As a result of analysis the motivation of visiting, those who visited only Hallyeohaesang National Park (a single destination) showed a mean value statistically significantly higher level in health improvement and vacation, relaxation, and healing compared to those who had visited or would visit other places along with Hallyeohaesang National Park (multi-destinations). Single destination visitors spent less time traveling from home to national park than multi-destinations visitors. Those who visited only Hallyeohaesang National Park (as a single destination) showed a mean value statistically higher satisfaction and intention to revisit and recommend. The results of this research have significance in providing basic materials to develop efficient park management policies by studying the characteristics of Hallyeohaesang National Park visitors.

• Korean Journal of Agricultural and Forest Meteorology
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• v.23 no.4
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• pp.268-279
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• 2021

The geospatial schemes based on topo-climatology have been developed to produce digital climate maps at a site-specific scale. Their development processes are reviewed here to derive the needs for new schemes in the future. Agricultural and forestry villages in Korea are characterized by complexity and diversity in topography, which results in considerably large spatial variations in weather and climate over a small area. Hence, the data collected at a mesoscale through the Automated Synoptic Observing System (ASOS) operated by the Korea Meteorological Administration (KMA) are of limited use. The geospatial schemes have been developed to estimate climate conditions at a local scale, e.g., 30 m, lowering the barriers to deal with the processes associated with production in agricultural and forestry industries. Rapid enhancement of computing technologies allows for near real-time production of climate information at a high-resolution even in small catchment areas and the application to future climate change scenarios. Recent establishment of the early warning service for agricultural weather disasters can provide growth progress and disaster forecasts for cultivated crops on a farm basis. The early warning system is being expanded worldwide, requiring further advancement in geospatial schemes and digital climate mapping.

• Korean Journal of Agricultural and Forest Meteorology
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• v.24 no.4
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• pp.234-243
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• 2022

In Korea, hail damage occurs every year, and in the case of agriculture, it causes severe field crop and cultivation facility losses. Therefore, it is necessary to develop a hail information service system customized for Korea's primary production and crop-growing areas to minimize hail damage. However, the observation of hail is relatively more difficult than that of other meteorological variables, and the available data are also spatially and temporally variable. A hail information service system was developed to understand the temporal and spatial distribution of hail occurrence. As part of this, a hail observation database was established that integrated the observation data from Korea Meteorological Administration with the information from newspaper reports. Furthermore, a hail risk map was produced based on this database. The risk map presented the nationwide distribution and characteristics of hail showers from 1970 to 2018, and the northeastern region of South Korea was found to be relatively dangerous. Overall, hail occurred nationwide, especially in the northeast and some inland areas (Gangwon, Gyeongbuk, and Chungbuk province) and in winter, mainly on the north coast and some inland areas as graupel (small and soft hail). Analyzing the time of day, frequency, and hailstone size of hail shower occurrences by region revealed that the incidence of large hail stones (e.g., 10 cm at Damyang-gun) has increased in recent years and that showers occurred mainly in the afternoon when the updraft was well formed. By integrating multidisciplinary data, the temporal and spatial gap in hail data could be supplemented. The hail risk map produced in this study will be helpful for the selection of suitable crops and growth management strategies under the changing climate conditions.