• Korean Journal of Environment and Ecology
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• v.37 no.1
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• pp.1-12
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• 2023

We analyzed the distribution area of debris slopes in Mudeungsan (Mt. Mudeung) National Park by comparing aerial photos of the past (1966) and the present (2017) and identified the vegetation characteristics that affect the change in the area of the debris slopes by investigating the vegetation status of the debris slopes and the surrounding areas. The area of debris slopes in Mt. Mudeung appears to have been reduced to a quarter of what it used to be. Debris slopes here have decreased at an average rate of 2.3 ha/yr over 51 years by vegetation covers. Notably, most of the small-area debris slopes in the low-inclination slopes disappeared due to active vegetation coverage. However, there are still west-facing, south-west-facing, south-facing, and large-area debris slopes remaining because the sun's radiant heat rapidly raises the surface temperature of rock blocks and dries moisture, making tree growth unfavorable. Because of these locational characteristics, the small-scale vegetation in the middle of Deoksan Stony Slope, which is the broadest area, showed distinct characteristics from the adjacent forest areas. Sunny places and tree species with excellent drying resistance were observed frequently in Deoksan Stony Slope. However, tree species with high hygropreference that grow well in valleys with good soil conditions also prevailed. In some of these places, the soil layer has been well developed due to the accumulation of fine materials and organic matter between the crevices of the rock blocks, which is likely to have provided favorable conditions for such tree species to settle and grow. At the top of Mt. Mudeung, on the other hand, the forest covered the debris slopes, where Mongolian oaks (Quercus mongolica) and royal azaleas (Rhododendron schlippenbachii), which typically grow in the highlands, prevailed. This area was considered favorable for the development of vegetation for the highlands because the density of rock blocks was lower than in Deoksan Stony Slope, and the soil was exposed. Moreover, ash trees (Fraxinus rhynchophylla) and Korean maple trees (Acer pseudosieboldianum) that commonly appear in the valley areas were dominant here. It is probably due to the increased moisture content in the soil, which resulted from creating a depressive landform with a concave shape that is easy to collect rainwater as rock blocks in some areas fell and piled up in the lower region. In conclusion, the area, density of the rock blocks, and distribution pattern of rock block slopes would have affected the vegetation development and species composition in the debris slope landform.

• Journal of Korea Water Resources Association
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• v.57 no.3
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• pp.151-164
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• 2024

In water treatment plants supplying potable water, the management of chlorine concentration in water treatment processes involving pre-chlorination or intermediate chlorination requires process control. To address this, research has been conducted on water quality prediction techniques utilizing AI technology. This study developed an AI-based predictive model for automating the process control of chlorine disinfection, targeting the prediction of residual chlorine concentration downstream of sedimentation basins in water treatment processes. The AI-based model, which learns from past water quality observation data to predict future water quality, offers a simpler and more efficient approach compared to complex physicochemical and biological water quality models. The model was tested by predicting the residual chlorine concentration downstream of the sedimentation basins at Plant, using multiple regression models and AI-based models like Random Forest and LSTM, and the results were compared. For optimal prediction of residual chlorine concentration, the input-output structure of the AI model included the residual chlorine concentration upstream of the sedimentation basin, turbidity, pH, water temperature, electrical conductivity, inflow of raw water, alkalinity, NH₃, etc. as independent variables, and the desired residual chlorine concentration of the effluent from the sedimentation basin as the dependent variable. The independent variables were selected from observable data at the water treatment plant, which are influential on the residual chlorine concentration downstream of the sedimentation basin. The analysis showed that, for Plant, the model based on Random Forest had the lowest error compared to multiple regression models, neural network models, model trees, and other Random Forest models. The optimal predicted residual chlorine concentration downstream of the sedimentation basin presented in this study is expected to enable real-time control of chlorine dosing in previous treatment stages, thereby enhancing water treatment efficiency and reducing chemical costs.

• Korean Journal of Heritage: History & Science
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• v.46 no.4
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• pp.48-63
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• 2013

The results of the study on the space planning and landscape design of Unjoru(雲鳥樓) through the 'Jeolla Gurye Omidong Gado(全羅求禮五美洞家圖)' drawn using GyeHwa(界畵) technique are as follows. First, 'Omidong Gado' is believed to date back to the period when Unjoru(1776~1783) was established for the following reasons: (1) The founder, Yoo-IJu(柳爾?), sent the drawing for the house while he was serving as the governor of YongCheon county(龍川府史). (2) It shows the typical dwelling houses' space division and its location is in a good spot with mountain in the back and water in front(背山臨水) and there is every indication of scheme drawing. (3) Front gate was changed and remodeled to a lofty gate in 1804. Second, Nogodan & Hyeongjebong of Jiri Mountain sit at the back of Unjoru, and faces Obong mountain and Gyejok mountain. In addition, the Dongbang stream flowing to the east well illustrates the Pungsu theory of mountain in the back and water in the front. Third, the house is structured in the shape resembling the character 品, divided into 5 areas by hierarchical order in the cross line from all directions. The site, which includes the outdoor yard and the back garden, consists of 5 blocks, 6 yards and 2 gardens. Fourth, the outdoor yard with aesthetical value and anti-fire function, is an ecological garden influenced by Confucianism and Taoism with a pond (BangJiWonDo Type, 方池圓島形) at the center. Fifth, the Sarang yard(舍廊庭) is decorated with terrace garden and flower garden, and the landscaping components such as oddly shaped stone, crane, plum, pine tree, tamarisk tree and flowering plants were used to depict the ideal fairy land and centrally placed tree for metaphysical symbolism. The upper floor of Sarangchae commands distant and medium range view, as well as upwards and downwards. The natural landscape intrudes inside, and at the same time, connects with the outside. Sixth, pine forest over the northern wall and the intentionally developed low hill are one of the traditional landscaping techniques that promotes pleasant residential environment as well as the aesthetics of balanced fullness.

• Korean Journal of Environment and Ecology
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• v.38 no.4
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• pp.416-425
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• 2024

This study aims to analyze the changes in land prices and building construction activities before and after exclusion from park district as results of natural park re-planning. Seoraksan National Park, Namhansanseong Provincial Park, and Cheonmasan County Park were selected as study areas, and prices and construction activities were compared between areas remaining in and areas excluded from park districts for ten years after park re-planning. Land prices increased in all three study parks. The largest difference in land prices between remaining and excluded areas occurred in Cheonmasan City Park. Land price increased more in excluded than remaining areas in Seoraksan National Park. Unlike these two parks, the changes in land prices were not much different between remaining and excluded areas in Namhansanseong Provincial Park, which can be attributed to the facts that 1) provincial parks were already developed to certain level even before the exclusion due to its less stringent land use regulation than national parks, and 2) that Namhansanseong Provincial Park was also designated as Restricted Development Zone that has similar land use regulation level to natural parks. Comparison between building density measures before and after exclusion shows that development density generally increased after the exclusion. Building heights mostly increased during 10 years after the exclusion. Building to land ratios and floor area ratios also increased. However, building to land ratios and floor area ratios increased only slightly in Namhansanseong Provincial Park and Cheonmasan City Park, suggesting that in provincial and city parks, land development already occurred as a result of less stringent land use regulation. In conclusion, a national park system significantly restricts property right in natural parks, especially in national parks, which make it difficult to expand existing natural parks and/or establish new natural parks. A remedy for resolving problems related to private lands, such as increasing budget for purchasing private lands and introducing park facilities for local community is urgently required.

• Journal of Intelligence and Information Systems
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• v.24 no.4
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• pp.137-154
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• 2018

Animal infectious diseases, such as avian influenza and foot and mouth disease, occur almost every year and cause huge economic and social damage to the country. In order to prevent this, the anti-quarantine authorities have tried various human and material endeavors, but the infectious diseases have continued to occur. Avian influenza is known to be developed in 1878 and it rose as a national issue due to its high lethality. Food and mouth disease is considered as most critical animal infectious disease internationally. In a nation where this disease has not been spread, food and mouth disease is recognized as economic disease or political disease because it restricts international trade by making it complex to import processed and non-processed live stock, and also quarantine is costly. In a society where whole nation is connected by zone of life, there is no way to prevent the spread of infectious disease fully. Hence, there is a need to be aware of occurrence of the disease and to take action before it is distributed. Epidemiological investigation on definite diagnosis target is implemented and measures are taken to prevent the spread of disease according to the investigation results, simultaneously with the confirmation of both human infectious disease and animal infectious disease. The foundation of epidemiological investigation is figuring out to where one has been, and whom he or she has met. In a data perspective, this can be defined as an action taken to predict the cause of disease outbreak, outbreak location, and future infection, by collecting and analyzing geographic data and relation data. Recently, an attempt has been made to develop a prediction model of infectious disease by using Big Data and deep learning technology, but there is no active research on model building studies and case reports. KT and the Ministry of Science and ICT have been carrying out big data projects since 2014 as part of national R &D projects to analyze and predict the route of livestock related vehicles. To prevent animal infectious diseases, the researchers first developed a prediction model based on a regression analysis using vehicle movement data. After that, more accurate prediction model was constructed using machine learning algorithms such as Logistic Regression, Lasso, Support Vector Machine and Random Forest. In particular, the prediction model for 2017 added the risk of diffusion to the facilities, and the performance of the model was improved by considering the hyper-parameters of the modeling in various ways. Confusion Matrix and ROC Curve show that the model constructed in 2017 is superior to the machine learning model. The difference between the2016 model and the 2017 model is that visiting information on facilities such as feed factory and slaughter house, and information on bird livestock, which was limited to chicken and duck but now expanded to goose and quail, has been used for analysis in the later model. In addition, an explanation of the results was added to help the authorities in making decisions and to establish a basis for persuading stakeholders in 2017. This study reports an animal infectious disease prevention system which is constructed on the basis of hazardous vehicle movement, farm and environment Big Data. The significance of this study is that it describes the evolution process of the prediction model using Big Data which is used in the field and the model is expected to be more complete if the form of viruses is put into consideration. This will contribute to data utilization and analysis model development in related field. In addition, we expect that the system constructed in this study will provide more preventive and effective prevention.

• Journal of Korean Society of Forest Science
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• v.48 no.1
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• pp.1-24
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• 1980

One of the most important basic problems for developing the new techniques in the field of road landscape planting practices in Korea, is to clarify, analyse, and evaluate the existing technical level through actual field survey on the various kinds of planting techniques. This study is, therefore, aimed at the good grasp of detail essences of the existing level of road landscape planting techniques through field investigations of the executed sites. In this study, emphasized efforts are made to the detail analysis and systematic rearrangements of such main subjects as; 1) principles and functions of the road landscape planting techniques; 2) essential elements in planning of it; 3) advanced practices in execution of planting of it; 4) and improved methods in maintenance of plants and lands as an entire system of road landscape planting techniques. The road landscape planting techniques could be explained as the planting and landscaping practices to improve the road function through introduction of plants (green-environment) on and around the roads. The importances of these techniques have been recognized by the landscape architects and road engineers, and they also emphasize not on]y the establishment of road landscape features but also conservation of human's life environment by planting of suitable trees, shrubs, and other vegetations around the roads. It is essentially required to improve the present p]anting practices for establishment of the beautiful road landscape features, specially in planning, design, execution, establishment, and maintenance of plantings of the environmental conservation belts, roadside trees, footpathes, median strips, traffic islands, interchanges, rest areas, and including the adjoining route roads.

• Korean Journal of Environment and Ecology
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• v.17 no.1
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• pp.56-70
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• 2003

Reviewing the trend of land use in urban cultivated land, the large part of land has been changed into the high-profit cultivated land of green houses or the developing areas. So, its percent of cultivated land in land use comparing to the other types of cultivated land would get far higher. Therefore, this study aims to identify the characteristics of landscape ecological pattern in the cultivated land of green houses and to find its alternatives for management, which would be a basis of regional planning and management in terms of space and time. The cultivated land of green houses, whose its area reaches 19.3ha, in Seoul are mainly dispersed on the south eastern part of Seoul and its area is larger than the other types of cultivated lands. According to the result of shape index analysis, its perimeters were very simple. Also, Analyzing the first three major neighboring land use to the cultivated land of green houses, the most frequent biotope types of neighboring land use to the cultivated land of green houses were that transportation facility represented 60%, forest, 43%, the other types of cultivated land, 36%, and residential area, 33%. The cause why the percent of transportation facility was higher in the neigh-boring land use types was assumed for the production and distribution of crops. On the basis of the result of landscape ecological pattern analysis, the cultivated land would be managed and contributed to enhance biodiversity and urban environment preservation.

• Korean Journal of Plant Taxonomy
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• v.44 no.3
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• pp.165-170
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• 2014

Most evergreen Quercus species are typical, dominant members of Korean evergreen forests. However, little is known about the distribution status of Q. myrsinifolia Blume there. To enhance our knowledge about their natural range in Korea, we conducted field surveys based on specimen records and an extensive literature search. We also determined their exact number as a first step in planning their conservation. The results indicated that these trees are strictly limited to Jin Island, and 169 mature individuals were the maximum number and occurred in only three subpopulations on that island. Previous misidentifications and perhaps mislabeled locations for plant specimens were the main reasons for earlier confusion about distribution. We believe that these results can provide guidance when making specific recommendations for management interventions. These discoveries also demonstrate the value in having reliable information about plant specimens in general. We also speculated about what makes this species particularly vulnerable to local extinction.

• Journal of the Korean Association of Geographic Information Studies
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• v.14 no.1
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• pp.40-48
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• 2011

The purpose of this study is to contribute enhancing the accuracy of viewshed analysis through the explanation for an analysis method of viewshed analysis using GIS. According to previous studies, the visible area using digital terrain in viewshed analysis depends on a visible interest area, scale of terrain, spatial resolution and surface data. In this study, we used trend analysis and RMSE analysis in order to find the effect of a visible interest area, scale of terrain, etc in viewshed analysis. Results of this study are as follows. First, the result of viewshed analysis depends on a visible interest area, scale of terrain, spatial resolution, surface data such as previous studies. Second, the results in forest area are reliable than those of flat area in terms of a visible interest area. Third, the results based on raster grid data are stable than those of TIN(triangulated irregular network) in terms of input surface data. Fourth, according to the result of trend and RMSE analysis, the spatial resolution for analysis is differently applied to different scales digital terrain map in viewshed analysis. In detail, it is desirable that the spatial resolution is set less than 10m(in the case of 1/1,000 digital terrain map), 20m(in the case of 1/5,000 map), 30m(1/25,000 map).

• Journal of Ecology and Environment
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• v.41 no.11
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• pp.302-309
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• 2017

Background: Large-scale land-use change is being caused by various socioeconomic problems. Land-use change is necessarily accompanied by changes in the regional carbon balance in terrestrial ecosystems and affects climate change. Therefore, it is crucial to understand the correlation between environmental factors altered by land-use change and the carbon balance. To address this issue, we studied the characteristics of soil carbon flux and soil moisture content related to rainfall events in mountain pastures converted from deciduous forest in Korea. Results: The average soil moisture contents (SMC) during the study period were 23.1% in the soil respiration (SR) plot and 25.2% in the heterotrophic respiration (HR) plot. The average SMC was increased to 2.1 and 1.1% in the SR and HR plots after rainfall events, respectively. In addition, saturated water content was 29.36% in this grassland. The soil water content was saturated under the consistent rainfall of more than $5mm\;h^{-1}$ rather than short-term heavy rainfall event. The average SR was increased to 28.4% after a rainfall event, but the average HR was decreased to 70. 1%. The correlation between soil carbon flux rates and rainfall was lower than other environmental factors. The correlation between SMC and soil carbon flux rates was low. However, HR exhibited a tendency to be decreased when SMC was 24.5%. In addition, the correlation between soil temperature and respiration rate was significant. Conclusions: In a mountain pasture ecosystem, rainfall induced the important change of soil moisture content related to respiration in soil. SR and HR were very sensitive to change of SMC in soil surface layer about 0-10-cm depth. SR was increased by elevation of SMC due to a rainfall event, and the result was assumed from maintaining moderate soil moisture content for respiration in microorganism and plant root. However, HR was decreased in long-time saturated condition of soil moisture content. Root has obviously contributed to high respiration in heavy rainfall, but it was affected to quick depression in respiration under low rainfall. The difference of SMC due to rainfall event was causative of a highly fluctuated soil respiration rate in the same soil temperature condition. Therefore, rainfall factor or SMC are to be considered in predicting the soil carbon flux of grassland ecosystems for future climate change.