• Archives of design research
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• no.16
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• pp.27-38
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• 1996

Environmental design is the process of creating and suggesting a new culture retlectmg the spirits and scientific know ledges of an age, so il is important for a designer, who deals environment, to perceive the present trend of science, The goal of this study is to suggest a way to recover the vanishing image in current urban environment from the viewpoint of changing world-view, The process of this study is as follows. 1. According to spatial hierarchy, the role of each space and the importance of each space in correlation with human are considered. 2. The method to undersk, nd the space from the viewpoint of new paradigm and the direction of environmental design's access are suggested. 3. The notion that introduction of semi public space In urban environment is consistent with new paradigm is demonstrated and the semi public space's role of stimulation of urban activity is emphasized. The result of this study shows a possibility that semi public space, introduced by understanding of a space on the basis of new paradigm, expands the territory of life and overcomes tile negative environmental problem like disorder, increase of entropy.

• Korean Journal of Remote Sensing
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• v.39 no.5_3
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• pp.891-907
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• 2023

Compact Advanced Satellite 500-4 (CAS500-4) is scheduled to be launched to collect high spatial resolution data focusing on vegetation applications. To achieve this goal, accurate surface reflectance retrieval through atmospheric correction is crucial. Therefore, a machine learning-based atmospheric correction algorithm was developed to simulate atmospheric correction from a radiative transfer model using Sentinel-2 data that have similarspectral characteristics as CAS500-4. The algorithm was then evaluated mainly for forest areas. Utilizing the atmospheric correction parameters extracted from Sentinel-2 and GEOKOMPSAT-2A (GK-2A), the atmospheric correction algorithm was developed based on Random Forest and Light Gradient Boosting Machine (LGBM). Between the two machine learning techniques, LGBM performed better when considering both accuracy and efficiency. Except for one station, the results had a correlation coefficient of more than 0.91 and well-reflected temporal variations of the Normalized Difference Vegetation Index (i.e., vegetation phenology). GK-2A provides Aerosol Optical Depth (AOD) and water vapor, which are essential parameters for atmospheric correction, but additional processing should be required in the future to mitigate the problem caused by their many missing values. This study provided the basis for the atmospheric correction of CAS500-4 by developing a machine learning-based atmospheric correction simulation algorithm.

• Land and Housing Review
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• v.3 no.4
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• pp.399-406
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• 2012

One-third of total energy and 50% of $CO_2$ emissions arise from construction phase. Because of this global amount of energy consumption and $CO_2$ emission, we must do our best to solve this problem. But our existing ways of meeting this problem has focused on the energy consumption saving of the construction and dwelling stage. On the other hand, we has been treated too lightly for handling the $CO_2$ emissions problem during the maintenance management and the demolition process so far,. In this paper, we quantitatively predicted and evaluated the environmental load in each construction step during all life cycle. And, we developed the environmental load assessment program for each construction step. And we proposed the reliable decision support model for objective and reliable environmental load assessment and reduction. This result must help the development of construction technology and low carbon & green growth.

• Journal of Korean Society of Environmental Engineers
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• v.22 no.1
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• pp.159-167
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• 2000

In recent years, combined and separated sewer overflows (CSOs, SSOs) have been recognized as a significant pollution problem. To solve this problem a series of experiments were performed in a small scale Rapid Floc Settler (RFS) device to determine its ability in removing micro particles and dissolved materials from polluted waters. The RFS device is a compact physico-chemical wasterwater treatment system. Polyacrylamide (PAM) is used as a coagulant for treating stormwater in the RFS. The results of Jar test showed that PAM could be an excellent coagulant as compared with aluminum sulfate. and ferric chloride. In several experimental conditions, the influence of different variation parameters was tested to measure the efficiency of the RFS. Tests have been carried out with typical CSOs concentrations (50~1.000mg SS/L). The treatment efficiency with regard to SS and COD, which can be obtained at an overflow rate of $130m^3/m^2/day$, are 90% and 80%, respectively. Comparing other sedimentation technologies with RFS, the overflows rate of RFS is ten times faster. The distribution of particle size and number were analyzed. The RFS is suitable for the treatment of CSOs and also the removal of settleable and dissolved materials in urban stormwater runoff.

• Journal of the Korean Society of Safety
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• v.20 no.1 s.69
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• pp.13-17
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• 2005

This paper presents an information system of noise and vibration caused by people as a major source of the environmental problem in residential areas with which people are dissatisfied. Therefore, it is important to monitor the influence of noise and vibration in residential areas. Generally, Geographical Information Systems (GIS) play an important role in noise and vibration mapping. The purpose of this paper is to investigate noise and vibration effects in an urban area and develop a new information network in GIS. Noise and vibration measurements were carried out at a road randomly chosen near INJE University. The obtained values are graphically represented with GIS. Therefore, it is possible to predict noise and vibration in GIS when establishing effective urban plans.

• Journal of Korean Society for Atmospheric Environment
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• v.30 no.4
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• pp.378-386
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• 2014

The use of bus stop in the center lane has reduced the emissions of exhaust gas on the road due to the improvement of the traffic speed but has caused a health problem for the citizens who are waiting for the bus in the platform, and thus the air pollution control of bus stop in the center lane is emerging as a more important part. This study was conducted to investigate the air pollution degree for the center lane-bus stops in four regions using mobile air measuring vehicle, and to evaluate the characteristics of air pollution by comparing with the data measured at the urban air monitoring site close to the bus stops. In addition, the correlation analysis was performed to analyze the impact to neighboring region by vehicle exhaust gas. The regional mean concentration of nitrogen dioxide in the center lane-bus stops ranged from 0.025 to 0.043 ppm which shows from 2.5 times to 5.3 times higher than the values of urban air monitoring site selected as a control group. The regional mean concentration of ozone in the center lane-bus stops ranged from 0.023 to 0.034 ppm which shows from 3% to 28% lower than the values of urban air monitoring site selected as a control group. The concentrations of nitrogen dioxide and ozone for the sampling regions did not exceed one hour-air quality environmental standard (0.1 ppm). The mean concentration of particulate matter for four center lane-bus stops was $28{\mu}g/m^3$ which shows about 27% higher than the values of urban air monitoring site selected as a control group, and that of particulate matter did not exceed one day-air quality environmental standard ($100{\mu}g/m^3$). In the results of correlation analysis between data from center lane-bus stops and data from urban air monitoring sites, the correlation coefficient (r) of nitrogen dioxide was relatively low as 0.316 to 0.416, and the correlation coefficient was high as the distance was close and vice versa. However, the correlation coefficient of ozone ranged from 0.167 to 0.658 and the correlation coefficient was high as the distance was far and vice versa.

• Proceedings of the KSR Conference
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• 2011.10a
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• pp.320-328
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• 2011

The down town passage segment which follows in the straight line which follows recently in high speed of the railway and rail construction is increasing. Also according to quality of life improvement of the citizens whom follows in national income increase the resident demand only becomes larger day by day about a environmental creation which is comfortable and house environmental etc. Demand of the citizens is not the problem of today yesterday about like this railway mean of transportation and with the fact that continuously will increase in future. This study is to predict and reduce railway noise from the conventional PSC-beam bridges which passes through urban areas under the government strateges of speed and weight increases of railway. The purpose of this study is to recommend a proper noise prediction method for designing pleasant roadside environments. The railway design including existing line reconstructions should minimize curved alignment to increase train speed to 180~200km/hr under the government's long-term planing such as the 4th Comprehensive National Development Plan (2000~2020), National Intermodal Transportation Plan (2000~2019) and National Railroad Network Establishment Plan (2006~2015), Since the PSC-beam bridges are mainly used for bridge structures urban areas, noise measurements were performed and analyzed to recommend the noise prediction methods for each type and speed of train respectively.

• Journal of Environmental Science International
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• v.5 no.4
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• pp.399-410
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• 1996

Pusan is the largest coastal city with a population of about four mi18ion in Korea. Because of increased and confused traffic, photochemical air pollution become a major urban environmental problem recently. The photo-chemical air pollution weather forecasting method preciser than existing air pollution forecast method has been developed to forecast ozone episode days with meteorological conditions using the data measured at 7 air quality continuous monitoring stations from lune to September using 2 years (1994, 1995). The method developed in present study showed higher percentage correct and skill score than existing air pollution forecasting in KMA ( Korea Meteorological Administration).

• Korean Journal of Remote Sensing
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• v.38 no.6_2
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• pp.1633-1641
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• 2022

Urban population concentration and indiscriminate development are causing various environmental problems such as air pollution and heat island phenomena, and causing human resources to deteriorate the damage caused by natural disasters. Urban trees have been proposed as a solution to these urban problems, and actually play an important role, such as providing environmental improvement functions. Accordingly, quantitative measurement and analysis of individual trees in urban trees are required to understand the effect of trees on the urban environment. However, the complexity and diversity of urban trees have a problem of lowering the accuracy of single tree detection. Therefore, we conducted a study to effectively detect trees in Dongjak-gu using high-resolution aerial images that enable effective detection of tree objects and You Only Look Once Version 5 (YOLOv5), which showed excellent performance in object detection. Labeling guidelines for the construction of tree AI learning datasets were generated, and box annotation was performed on Dongjak-gu trees based on this. We tested various scale YOLOv5 models from the constructed dataset and adopted the optimal model to perform more efficient urban tree detection, resulting in significant results of mean Average Precision (mAP) 0.663.

• Journal of Environmental Impact Assessment
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• v.32 no.4
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• pp.242-250
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• 2023

The continuity of urban space is being destroyed by disorderly high-rise development caused by reckless development, and the resulting deterioration of urban landscape is emerging as a major problem. Disordered high-rise development is adversely affecting the urban environment, such as depriving residents of the basic rights of view and sunlight and privatizing the scenery that urban residents should enjoy together. In order to create a continuous urban landscape, indiscriminate high-rise development is restricted and compensation for the affected areas is needed. Various regulations have been carried out to this end, but it is difficult to overcome the pressure and damage to high-rise development by regulations alone. Accordingly, discussions have been underway to introduce a compensation system. Among them, discussions on the introduction of a 'Transfer of Development Right' (TDR) in which land ownership and development rights are separated and compensated for development rights have been drawing attention. However, in Korea, it is difficult to introduce the system due to various problems related to the separation of development rights. In order to overcome the limitations of the introduction of TDR, this paper analyzed the concepts and characteristics of 'Real Estate Investment Trusts' (REITs) and presented a policy model for the development right transfer system incorporating REITs for effective landscape management.