• Economic and Environmental Geology
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• v.47 no.4
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• pp.405-420
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• 2014

To investigate geochemical characteristics of soil and atmospheric environments by anthropogenic source, we have analyzed and determined heavy metal concentrations of the surface soils beneath roadside trees and leaves of Platanus occidentalis from 52 points in Seoul during autumn 2001. For comparison of the contents of heavy metal for the soil and leaf, we have analyzed heavy metal contents of the surface soils beneath roadside trees and leaves from 2 points in rural area of Yesan during the same time period. The composition of heavy metals of soils are relatively high for Cd, Co, Cr and Ni in industrial area (IA, Industrial Area) and high for Cu, Pb and Zn in heavy traffic area (HTA, Heavy Traffic Area). The heavy metal contents of rural area in Seoul are higher than those in Yesan. The differences of chemical compositions between the washed and unwashed leaves are high for Cd, Cu, Pb and Zn in the HTA. The element couples of Cd-Co, Cr-Ni and Pb-Zn for the soils had shown a good correlation and their contamination sources could be similar. The relationship for Pb-Cu and Cu-Zn showed good correlation in Platanus leaves. The relationship between soils and unwashed leaves show a good correlation for Cr, Cu, Pb and Zn but low correlation for Cd, Co, Fe, Mn and Ni. It is thought that the Cr, Cu, Pb and Zn were derived from contaminants of soils, whereas Cd, Co, Fe, Mn and Ni were originated from atmospheric source. From the spatial variations of elements for soils and leaves, Ni and Cr were dominant in the soils of IA and Cd, Cu and Zn were dominant in those of HTA. The Contamination by Cd-Pb and Cu-Zn in unwashed leaves were analyzed to show similar patterns. Using the enrichment factors (EF) of heavy metals in unwashed leaves, the EF sequences were to be Cu, Zn, Pb, Mn, Co, Ni, Cd and Cr. We identified that Cu, Zn, Pb and Mn were most problematic of environmental hazard in Seoul.

• Journal of the Korean Society of Environmental Restoration Technology
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• v.25 no.4
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• pp.49-65
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• 2022

Since trees in the city are green assets that create a healthy environment for the city, systematic management of trees improves urban ecosystem services. The sporadic urban tree information centered on the site is vast, and it is difficult to manage the data, so efforts to increase efficiency are needed. This paper summarizes tree data inventory based on data constructed by Seoul Green Trust activists and constructs and discloses online database maps using Tableau Software. In order to verify the utilization of the map, we divided into consumer and supplier aspects to collect various opinions and reflect feedback to implement tree database maps for each area and species of Seoul Forest. As a result, the utilization value of tree database in urban parks was presented. The technical significance of this study is to systematically record the process of constructing and implementing a dashboard directly using the Mapbox platform and Tableau Software in the field of landscaping for the first time in Korea. In addition, the implications and supplements of landscape information were derived by collecting user opinions on the results. This can be used as an exploratory basis in the process of developing online-based services such as web and apps by utilizing landscaping tree information in the future. Although the visualization database currently constructed has limitations that ordinary users cannot interact in both directions because it utilizes business intelligence tools in terms of service provision it has affirmed both the database construction and its usability in web public format. In the future it is essential to investigate the assets of the trees in the city park and to build a database as a public asset of the city. The survey participants positively recognized that information is intuitively presented based on the map and responded that it is necessary to provide information on the overall urban assets such as small parks and roadside trees by using open source maps in the future.

• Journal of the Speleological Society of Korea
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• v.56
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• pp.15-38
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• 1998

Biomass and soil properties of plant communites was investigated in the limestone ares, Tanyang, Ch'ungbuk Province in Korea. Plants was classified in calcicoles and calcifuges within plant communities occurring in the limestone area. Biomass of plant populatins in the limestone area was measured that Stellaria aquatica was the lowest(0.58g/plant), Chrysanthemum boreale was the highest(8.87g/plant) and that Pennisetum alopecuroides, Miscanthus sinensis was 6.67g/plant, 5.76g/plant, respectively. Diameter of breast height among the tree layer communities was investigated that Pinus densiflora was the widest(20cm), Juniperus rigida was the narrowest(6cm) and that Quercus aliena, Populus ${\times}$ tomentiglandulosa was 10cm, 12cm, respectively. The high of density in the tree layer was found out Populus ${\times}$ tomentiglandulosa, Juniperus rigida, Quercus aliena, Pinus densiflora in this order. Dominant species in the study area were Pinus densiflora, Quercus aliena, Juniperus rigida, Quercus dentata in the tree layer, Lespedeza bicolor, Buxus microphylla, Rhus chinensis in the shrub layer, Humulus Japonicus, Erigeron canadensis, Xanthium strumarium, Oenothera odorata Persicaria hypropiper on the riverside, Pennisetum alopecuroides, Vicia amoena, Chrysanthemum boreale on the roadside. Soil properties of the limestone area was investigated around the protrusion of rock in the upper region, around the cave and underlayer accumulated by corrosion in the study area. Lime-chlorosis was observed in the upper region, underlayer and around the cave. It was observed that biota of kum-gul and dungbong-gul was Rhinolophus ferrumequinum korai, Epanerchodus kimi, Antrokoreana gracilipes, Diestrammena japonical. Dominant species were Humulus japonicus, Stellaria aquatica, Hydrocotyle maritima, Phragmites communis, Miscanthus sinensis around the inlet of a kum-gul. It was classified that plants in the study area was 34 order, 53 family, 135 species in all. Calcicoles were 11 order, 16 family, 18 species and calcufuges were 6 order, 8 family, 11 species of them all.

• Journal of Korean Society of Forest Science
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• v.7 no.1
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• pp.35-39
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• 1968

1. The Fall webworm, Hyphantria cunea was widely distributed ranging from Seoul to Kangnung, Yung-ju, Taegu, Iri and Kwang-ju in 1967. 2. Heavily infested tree species by the Fall webworm were Sycamore, Cherry, ash-leaved maple, poplar, and elm. 3. The average number of larval masses per damaged garden tree and roadside tree was 7.0 and 3.4 respectively. 4. Trees of 6-10m in height had most number of larval masses and were most heavily infested. 5. More larval masses were found in the median and lower parts than higher parts of the crown. 6. The ratio of damaged by second generation was 55% higher than by first generation. The ratio of damage by 3rd generation is 18% less than by first generation.

• Korean Journal of Remote Sensing
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• v.33 no.6_2
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• pp.1151-1157
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• 2017

Street Trees is an important object for urban environment improvement. Especially the height of the trees needs to be precisely measured as a factor that greatly influences the removal of air pollutants in the Urban Street Canyons. In this study, we extracted the height of the tree based on the stereo image using the precisely adjusted UAV Images of the target area. The adjustment of UAV image was applied photogrammetric SfM (Structure from motion) based on the collinear condition. We measured the height of the trees on the Street Canyon using stereoscopic vision on stereo plotting system. We also acquired the height of the building adjacent to the street trees and the average height of the road surface was calculated for accurate measurement of the height of each object. Through the visual analysis with the plotting operation system, it was possible to measure height of the tree and to calculate the relative height difference value with building quickly. This means that the height of buildings and trees can be calculated without making a 3D point cloud of UAV and it has the advantage of being able to utilize non-experts. In the future, further studies for semiautomatic/automation of this technique should be performed. The development and research of these technologies is expected to help to understand the current status of environmental policies and roadside trees in urban areas.

• Journal of Intelligence and Information Systems
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• v.18 no.3
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• pp.1-12
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• 2012

There are many trees in a roadside, parks or facilities for landscape. Although we are easily seeing a tree in around, it would be difficult to classify it and to get some information about it, such as its name, species and surroundings of the tree. To find them, you have to find the illustrated books for plants or search for them on internet. The important components of a tree are leaf, flower, bark, and so on. Generally we can classify the tree by its leaves. A leaf has the inherited features of the shape, vein, and so on. The shape is important role to decide what the tree is. And texture included in vein is also efficient feature to classify them. This paper evaluates the performance of a leaf classification system using both shape and texture features. We use Fourier descriptors for shape features, and both gray-level co-occurrence matrices and wavelets for texture features, and used combinations of such features for evaluation of images from the Flavia dataset. We compared the recognition rates and the precision-recall performances of these features. Various experiments showed that a combination of shape and texture gave better results for performance. The best came from the case of a combination of features of shape and texture with a flipped contour for a Fourier descriptor.

• Korean Journal of Remote Sensing
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• v.38 no.6_1
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• pp.1395-1406
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• 2022

This study investigated the effects of the urban forest and street trees on flow and temperature distribution in the Daegu National Debt Redemption Movement Memorial Park. For this, we implemented tree-drag and tree-cooling parameterization schemes in a computational fluid dynamics (CFD) model and validated the simulated wind speeds, wind directions, and air temperatures against the measured ones. We used the wind speeds, wind directions, air temperatures predicted by the local data assimilation and prediction system (LDAPS) as the inflow boundary conditions. To investigate the flow and thermal characteristics in the presence of trees in the target area, we conducted numerical experiments in the absence and presence of trees. In the absence of trees, strong winds and monotonous flows were formed inside the park, because there were no obstacles inducing friction. The temperature was inversely proportional to the wind speed. In the presence of trees, the wind speeds(temperatures) were reduced by more than 40 (5)% inside the park with a high planting density due to the tree drag (cooling) effect, and those also affected the wind speeds and temperatures outside the park. Even near the roadside, the wind speeds and temperatures were generally reduced by the trees, but the wind speeds and air temperatures increased partly due to the change in the flow pattern caused by tree drag.

• Journal of the Korean Institute of Landscape Architecture
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• v.22 no.1
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• pp.53-63
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• 1994

There are lots of forests around the Korean rural village. This study was conducted to investigate the state of the forests by the 15 forests case study of the Kamgok region in Chon-guk-Do province, Korea. The results are as follows. 1. The forests lose mostly original form by the construction of road and forest clearing for the land development business. And almostly the form of the forests is a trapezoid or roundness. 2. The forests were remained on account of the Korean cemetery customs which is burying underground. 3. The conservation of the forests becomes more difficult because of the continuous development pressure. 4. Because the scale of the forests is so small, they aren't named as the natural resort forest by the forest law. So it will be the better alternative that they are conserved and used by inducing the concept of the village resort forest. 5. Because the owenership of the forests exists in a person or a family, the forests will be destructed continuously by the cemetery development. 6. The vegetation of the upper trees in the forests is the simple forests of Pinus densiflora, Pinus rigida and bamboo. The height of upper tree is average 10-12m. And average root diameter is 13-29cm. The age of the tree is average 50 years old. The state of the forests is mostly fine. 7. It is clarified that the price of the forest land is 3-5 times expensive than the other cultivated land. 8. The forests were made by the forefathers for the purpose of the practical use and were reforested in the era 1960s, 1970s.

• Journal of the Korean Society for Precision Engineering
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• v.21 no.4
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• pp.88-94
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• 2004

Recently, vehicle simulators are widely used to evaluate driver's responses and driver assistance systems. It needs much effort to construct the virtual driving environment for a vehicle simulator. In this study, it is described how to make effectively the roads and the driving environment for a vehicle simulator. The GIS (Geographic Information System) is used to construct the roads and the environment effectively. Because the GIS is the integrated system of geographical data, it contains useful data to make virtual driving environment. First, the outline and centerline of roads is abstracted from the GIS. From the road outline, the road width is calculated. Using the centerline, the grid model of roads is constructed. The final graphic model of roads is constructed by mapping road image to the grid model according to the number of lanes and the kind of surface. Data of buildings from the GIS are abstracted. Each shape and height of buildings is determined according to kind of buildings, the final graphic model of buildings is constructed. Then, the graphic model of roadside tree is also constructed. Finally, the driving environment for driving simulator is constructed by converting the three graphic models with the graphic format of Direct-X and by joining the three graphic models.

• IEIE Transactions on Smart Processing and Computing
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• v.6 no.4
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• pp.281-291
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• 2017

Nowadays, as traffic jams are a daily elementary problem in both developed and developing countries, systems to monitor, predict, and detect traffic conditions are playing an important role in research fields. Comparing them, researchers have been trying to solve problems by applying many kinds of technologies, especially roadside sensors, which still have some issues, and for that reason, any one particular method by itself could not generate sufficient traffic prediction results. However, these sensors have some issues that are not useful for research. Therefore, it may not be best to use them as stand-alone methods for a traffic prediction system. On that note, this paper mainly focuses on predicting traffic conditions based on a hybrid prediction approach, which stands on accuracy comparison of three prediction models: multinomial logistic regression, decision trees, and support vector machine (SVM) classifiers. This is aimed at selecting the most suitable approach by means of integrating proficiencies from these approaches. It was also experimentally confirmed, with test cases and simulations that showed the performance of this hybrid method is more effective than individual methods.