• Journal of Environmental Impact Assessment
• /
• v.32 no.5
• /
• pp.338-352
• /
• 2023

As of 2019, Korea's fine dust is the most severe among 38 OECD countries, and in the same year, 「the Framework on Disaster and Safety Management」 was revised to define fine dust as a social disaster. Currently, the government is working to achieve its emission reduction goals by preparing a comprehensive fine dust management plan (2022-2023) consisting of a total of five areas, 42 tasks, and 177 detailed tasks. However, it is necessary to come up with measures in consideration of the various spatial characteristics of the city, not just as a source of emission. Therefore, in this study, the shape of the city was classified using the LCZ (Local Climate Zone) classification system into 17 types by building type and land cover type in Busan, and the average annual PM10 and PM2.5 concentration were mapped using the IDW technique. In addition, Fragstats and Moving Window were used to quantify the LCZ classification system. Finally, correlation analysis and regression analysis were conducted to analyze the relationship between the LCZ classification system and PM10 and PM2.5. As a result, it was confirmed that the type of low height of the building and the type of green space with trees had a positive effect on the concentration of PM10 and PM2.5. Therefore, this study is expected to be used as basic data to establish fine dust reduction policies based on efficient spatial planning.

• Journal of the Korean Society of School Health
• /
• v.17 no.2
• /
• pp.115-126
• /
• 2004

Purpose: The aim of the study is to provide information about selecting school sites for new schools in congested urban areas and to propose a method to manage harmful environments around primary and secondary schools. Method: Four schools were selected around Gilum New Town and Ilsan City. The problems were identified by counting the businesses classified as harmful and prohibited in a school zone through surveying, collecting reports from relevant sources, and asking questions of authorities in school districts. Results: It was found that many harmful businesses prohibited by the Law of School Health were present in the safe zone of schools in both Ilsan city and Gilum New Town. The school site of Bohyun Elementary School was classified as poor because there was a steep ascent at the entrance and the school was surrounded by a dangerous, steep boundary. We suggested that an education and environment assessment system by completed before the school site was selected. Conclusion: There is a urgent need to improve the approval and permission process of harmful businesses as well as regulatory standards of school site selection in the light of the shortage of land.

• Asian Pacific Journal of Cancer Prevention
• /
• v.16 no.6
• /
• pp.2323-2326
• /
• 2015

It is urgently necessary to be aware of the distribution and risk areas of liver fluke, Opisthorchis viverrini, for proper allocation of prevention and control measures. This study aimed to investigate the human behavior, and environmental factors influencing the distribution in Surin Province of Thailand, and to build a model using stepwise multiple regression analysis with a geographic information system (GIS) on environment and climate data. The relationship between the human behavior, attitudes (<50%; $X_{111}$), environmental factors like population density ($148-169pop/km^2$; $X_{73}$), and land use as wetland ($X_{64}$), were correlated with the liver fluke disease distribution at 0.000, 0.034, and 0.006 levels, respectively. Multiple regression analysis, by equations OV= -0.599 + 0.005(population density ($148-169pop/km^2$); $X_{73}$) + 0.040 (human attitude (<50%); $X_{111}$) +0.022 (land used (wetland; X64), was used to predict the distribution of liver fluke. OV is the patients of liver fluke infection, R Square= 0.878, and, Adjust R Square= 0.849. By GIS analysis, we found Si Narong, Sangkha, Phanom Dong Rak, Mueang Surin, Non Narai, Samrong Thap, Chumphon Buri, and Rattanaburi to have the highest distributions in Surin province. In conclusion, the combination of GIS and statistical analysis can help simulate the spatial distribution and risk areas of liver fluke, and thus may be an important tool for future planning of prevention and control measures.

• Journal of the Korean Institute of Landscape Architecture International Edition
• /
• no.1
• /
• pp.59-66
• /
• 2001

The tremendous growth of population and physical development in the largest urban agglomeration in Indonesia -the Jakarta Metropolitan Region, also known as Jabotabek (Jakarta, Bogor, Tanggerang, Bekasi)- has created many environmental problems, such as land use conversion, increasing urban temperature, water and air pollution, intrusion of seawater, and flooding. These problems have become more serious as the urban green space (trees, shrubs, and groundcovers) has decreased rapidly with the urbanization process. Urban green space directly benefits the urban environment through ameliorating air pollution, controlling temperature, contributing to the balance of the hydrological system, and providing space for recreation and relaxation. Because there is little hard data to support the claim of decreasing greenery in Jabotabek, it is necessary to measure the amount of urban green space. The paper describes the spatial analysis of urban green space within Jabotabek through the use of a geographical information system (GIS). We used GIS and remote sensing to determine land cover change and predicted greenery percentage. Interpretation of Landsat data for 1972, 1983, 1990, and 1997 showed that Jabotabek has experiences rapid development and associated depletion of green open space. The proportion of green open space fell by 23% from 1972 to 1997. We found a low percentage of urban green space in the center of Jakarta but a high percentage in fringe area. The amount of greenery is predicted by the Ratio Vegetation Index (RVI) model: predicted greenery (%) = [146.04] RVI - 134.96. We consider that our result will be useful for landscape planning to improve the environment of Jabotabek.

• Journal of the Korean association of regional geographers
• /
• v.7 no.3
• /
• pp.14-28
• /
• 2001

This study is to discuss the problems due to the maldevelopment occurred at the reserved areas of natural environments of the Ulleung Island, Gyeongsangbuk-do province, and it also suggests the ways of solving them The types of the maldevelopment practiced on the Ulleung Island consist of the change of land use, the opening of a round road, the destruction of mountains for the construction of harbor, the development of tourist areas, and the construction of military facilities. The decreased habitat of animals and the pollution of drinking water are occurred by the change of land use. The destruction of ecological system is due to the opening of a round road. The damage of natural landscape and the change of ocean eco-system is closely related to the construction of harbor and the destruction of mountains. Finally, the damage of rare plants and the pollution of drinking water are due to the development of tourist areas and the construction of military facilities. In the followings, the ways of solving the problems occurred by the various types of maldevelopment are suggested. First, the planning of pro-environmental development has to be established and practiced to preserve rare plants which are damaged due to the change of land use. Second, the destruction of natural landscape and resources has to be minimized by the implementation of environmental impact assesment when road and harbor are constructed. Third, the stones needed for the development of islands ought to be imported from mainland. Fourth, the established tourist areas are needed to rationally manage and the potential tourist areas has to be transferred to the reserved areas of natural environments. Fifth, military facilities should be constructed though the cooperation of autonomous local government. Finally, government officers' and residents' conscience of protecting and reserving natural environments is needed, and government has to give residents financial supports.

• Journal of Environmental Impact Assessment
• /
• v.24 no.2
• /
• pp.134-153
• /
• 2015

When making urban planning, it is important to understand climate effect caused by urban structural changes. Seoul city applies UPIS(Urban Plan Information System) which provides information on urban planning scenario. Technology for analyzing climate effect resulted from urban planning needs to developed by linking urban planning scenario provided by UPIS and climate analysis model, CAS(Climate Analysis Seoul). CAS develops for analyzing urban climate conditions to provide realistic information considering local air temperature and wind flows. Quantitative analyses conducted by CAS for the production, transportation, and stagnation of cold air, wind flow and thermal conditions by incorporating GIS analysis on land cover and elevation and meteorological analysis from MetPhoMod(Meteorology and atmospheric Photochemistry Meso-scale model). In order to reflect land cover and elevation of the latest information, CAS used to highly accurate raster data (1m) sourced from LiDAR survey and KOMPSAT-2(KOrea Multi-Purpose SATellite) satellite image(4m). For more realistic representation of land surface characteristic, DSM(Digital Surface Model) and DTM(Digital Terrain Model) data used as an input data for CFD(Computational Fluid Dynamics) model. Eight inflow directions considered to investigate the change of flow pattern, wind speed according to reconstruction and change of thermal environment by connecting green area formation. Also, MetPhoMod in CAS data used to consider realistic weather condition. The result show that wind corridors change due to reconstruction. As a whole surface temperature around target area decreases due to connecting green area formation. CFD model coupled with CAS is possible to evaluate the wind corridor and heat environment before/after reconstruction and connecting green area formation. In This study, analysis of climate impact before and after created the green area, which is part of 'Connecting green network across the north and south in Seoul' plan, one of the '2020 Seoul master plan'.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.49 no.5
• /
• pp.79-96
• /
• 2021

Green infrastructure planning represents landscape planning measures to reduce particulate matter. This study aimed to derive factors that may be used in planning green infrastructure for particulate matter reduction using text mining techniques. A range of analyses were carried out by focusing on keywords such as 'particulate matter reduction plan' and 'green infrastructure planning elements'. The analyses included Term Frequency-Inverse Document Frequency (TF-IDF) analysis, centrality analysis, related word analysis, and topic modeling analysis. These analyses were carried out via text mining by collecting information on previous related research, policy reports, and laws. Initially, TF-IDF analysis results were used to classify major keywords relating to particulate matter and green infrastructure into three groups: (1) environmental issues (e.g., particulate matter, environment, carbon, and atmosphere), target spaces (e.g., urban, park, and local green space), and application methods (e.g., analysis, planning, evaluation, development, ecological aspect, policy management, technology, and resilience). Second, the centrality analysis results were found to be similar to those of TF-IDF; it was confirmed that the central connectors to the major keywords were 'Green New Deal' and 'Vacant land'. The results from the analysis of related words verified that planning green infrastructure for particulate matter reduction required planning forests and ventilation corridors. Additionally, moisture must be considered for microclimate control. It was also confirmed that utilizing vacant space, establishing mixed forests, introducing particulate matter reduction technology, and understanding the system may be important for the effective planning of green infrastructure. Topic analysis was used to classify the planning elements of green infrastructure based on ecological, technological, and social functions. The planning elements of ecological function were classified into morphological (e.g., urban forest, green space, wall greening) and functional aspects (e.g., climate control, carbon storage and absorption, provision of habitats, and biodiversity for wildlife). The planning elements of technical function were classified into various themes, including the disaster prevention functions of green infrastructure, buffer effects, stormwater management, water purification, and energy reduction. The planning elements of the social function were classified into themes such as community function, improving the health of users, and scenery improvement. These results suggest that green infrastructure planning for particulate matter reduction requires approaches related to key concepts, such as resilience and sustainability. In particular, there is a need to apply green infrastructure planning elements in order to reduce exposure to particulate matter.

• Transactions of the Korean Society for Noise and Vibration Engineering
• /
• v.24 no.4
• /
• pp.348-356
• /
• 2014

To understand the relationship between road-traffic noise and urban components such as population, building, road-traffic and land-use, the city of Cheongju that already has road-traffic noise maps of daytime and nighttime was selected for this study. The whole area of the city is divided into square cells of a uniform size and for each cell, the urban components are estimated. A spatial representative noise level for each cell is determined by averaging out population-weighted facade noise levels for noise exposure population within the cell during nighttime. The relationship between the representative noise level and the urban components is statistically modeled at the cell level. Specially, we introduce a spatial auto regressive model and a spatial error model that turns out to explain above 85 % of the noise level. These findings and modeling methods can be used as a preliminary tool for environmental planning and urban design in modern cities in consideration of noise exposure.

• Journal of Korean Society of Environmental Engineers
• /
• v.35 no.5
• /
• pp.321-333
• /
• 2013

As environmental sustainability becomes a key consideration in policy-making, more responsible consumption and utilization in daily life concern both health and quality of life. To address inequities in health in relation to environments, waste management has taken more progressive ways, and one of them is biomass-to-energy conversion that utilizes energy recovery from food waste. By extension, a food waste zero-emission system using fermentation and extinction technology gains much attention, so that this study is designed to examine residents' attitudes toward recycling food waste produced at home and toward food waste zero-emission system. Utilizing a survey questionnaire, this research collected data from 400 individual units of multifamily housing estates nationwide, and the data were analyzed using descriptive and inferential statistics. The findings indicate that food waste generated at home was highly water-contained and produced in the stage of food preparation before cooking while respondents viewed that food waste collection and treatment needed to be improved. It's noted that respondents strongly supported the use of food waste as a energy source and would have the use of the food waste zero-emission system built in kitchen sink. Regression analysis showed that educational attainment of housewives, cooking style, and planning food purchase were statistically significant factors in the attitude of the responded residents toward recycling food waste while none of the factors were in the attitude toward the food waste zero-emission system.

• International conference on construction engineering and project management
• /
• 2009.05a
• /
• pp.1260-1265
• /
• 2009

Topographical features in South Korea is characterized that 70% of territory is composed of the mountains that can experience intense rainfall during storms in the summer and autumn. Efficient planning and management of landscape becomes utmost important since the cutting slopes in the mountain areas have been increased due to the limited construction areas for the roadway and residential development. This paper proposed an efficient way of slope management for the landslide risk by developing Web-GIS landslide risk management system. By deploying the Logistic Regression Analysis, the system could increase the prediction accuracy that the landslide disaster might be occurred. High resolution survey technology using GPS and Total-Station could extract the exact position and visual shape of the slopes that accurately describe the slope information. Through the proposed system, the prediction of damage areas from the landslide could also make it easy to efficiently identify the level of landslide risks via web-based user interface. It is expected that the proposed landslide risk management system can support the decision making framework during the identification, prediction, and management of the landslide risks.