• Journal of Environmental Science International
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• v.29 no.12
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• pp.1249-1260
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• 2020

Non-point source pollutants have characteristics the render them difficult to manage owing to the uncertainty of flow paths. As agricultural non-point sources account for more than 57% of non-point source pollutants, the necessity for management is increasing. This study examines the possibility of utilizing land cover maps to suggest a more appropriate method of setting management priority for agricultural non-point sources in the Daecheong Lake area and draws implications by comparing the results derived using the cadastral map, as mentioned in the TMDL Basic Policy. To define the prioritized areas for management, the pollution load was calculated for each subbasin using the formula from the TMDL technical guidelines. As a result, the difference in the average pollution load between the land cover map and cadastral map ranged from 11.6% to 21% among the subbasins. In almost all subbasins, there were differences in the ranking of management priorities depending on the land information that was used. In addition, it was found that it was reasonable to use the level 3 land cover map to calculate the load generated by the land system for examining the implementation goals and methods of each data and comparing them with satellite images.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.2
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• pp.5-34
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• 2017

This study measured greening level on the 978 public libraries nationwide, making and distributing questionnaires based on green library evaluation indicators developed to measure the greening level of public libraries. As a result of analyzing the averages by evaluation area, among the green library evaluation areas, the whole average of the library resources was the highest by 1.93, and followed by land use and traffic 1.81, indoor environment 1.30, management of water circulation 1.20, etc. The greening evaluation area which shows the best strength in the surveyed public libraries, was the area of the library resource, and it turned out that it use spaces effectively like effective use of the entire area, effectiveness of conservation of books, use and management of eco-friendly products etc., or use the equipments in eco-friendly way which are purchased or used frequently in the libraries, and, as for the land use and traffic area, most of the libraries had bicycle racks, and chose the location of the libraries, considering accessibility to public transportation and a distance between central urban area and libraries. Also, it turns out that, in the area of materials and resources, most of the libraries were equipped with hand dryers and rolling towels and maintained the eco-friendly view.

• Journal of Korean Society of Rural Planning
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• v.26 no.4
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• pp.1-13
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• 2020

This study was aimed at improving the landscape agricultural facilities. Agricultural production spaces such as rice paddies and fields are a representative landscape of rural areas. These landscapes should be aesthetically presentable and as such, they require proper landscape planning and management. However, the construction of infrastructure in these landscapes presents environmental and ecological problems. As a result, the unique aesthetics in landscapes such as rice paddies is disrupted by infrastructure development. The construction of infrastructural complexes takes away the pleasantness of the natural landscape. Photographic slides were variable elements were systematically removed in the landscape were used. The original plan and its alternatives (1, 2, 3, 4) in the BV, JV, JG, and GG regions were evaluated using the Likert scale and AHP methods. Statistical analysis was conducted using ANOVA. The results indicate that the removal of variable elements, expansion of separation distance, and the planting of green plants had a positive effect on all parameters. Improvement of landscapes containing infrastructural complexes can be achieved by the use of image simulation.

• Weed & Turfgrass Science
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• v.2 no.3
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• pp.283-291
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• 2013

This experiment was carried out for the selection of suitable cultivars on the green and fairway at the mountain area. The climate data showed that differences of altitude influenced greater than latitude on temperature and rainfall when compared with 3 areas of the central of Gyeong-gi and Yeong-seo, and the mountain area at Yeong-seo. The plot was prepared with the USGA profiles for green and modified California style for fairway at the mountain golf course in Wonju, Korea. The growth characteristics were compared on two different profiles for 3 years of growing seasons after seeding with 5 creeping bentgrass cultivars. 'T-1' and 'CY-2' showed a rapid greenup compare with other cultivars in spring of 2010 with the both green and fairway mowing height. However, 'Penncross' resulted the slowest among cultivars. 'T-1' showed the most prominent visual quality of overall rate and the deepest root length after one year of seeding, while 'Penncross' showed an excellent result of root length and weight during summer season. However, 'Penn A-1' had an imperial result in that season. Comparison of the growth characteristics under green and fairway conditions, 'T-1' and 'CY-2' showed exellent overall results at the mountain area at Yeong-seo area in Korea.

• Journal of the Korea Convergence Society
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• v.13 no.4
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• pp.233-244
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• 2022

One of the most noteworthy topics in recent corporate management is ESG(Environmental, Social, Governance). Although there are many companies that have declared ESG management, KT has declared full-fledged ESG management in 2021 and is sharing its sustainable management strategy with stakeholders. In addition, KT is strengthening ESG management by issuing ESG bonds for the first time in the domestic ICT industry. At a time when the information technology industry became more important due to COVID-19, this study attempted to examine KT's ESG management goals and strategies by dividing them into environmental, social, and governance areas. KT was aiming to achieve environmental integrity through 'environmental management', 'green competence', 'energy resources', and 'eco-friendly projects' in the environmental field. In addition, in the social field, genuine creating social value was pursued through 'social contribution', 'co-growth', and 'human rights management'. Finally, in the governance area, it was aiming for a transparent corporate management system to pursue economic reliability through 'ethics and compliance' and 'risk management'. In particular, KT was promoting its own ESG management by promoting strategies to solve environmental and social problems using AI and BigData technologies based on the characteristics of a digital platform company. This study aims to derive implications for ESG strategy establishment and ESG management development direction through KT's ESG management case in relation to ESG management, which has emerged as a hot topic.

• Journal of Environmental Policy
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• v.9 no.2
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• pp.83-109
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• 2010

The main purpose of this paper is to suggest a spatial planning approach to effectively deal with airport noise problems in neighborhoods adjacent to civil airports. Rapid urbanization around the airports, as well as growing concerns on quality-of-life, resulted in ever-growing airport noise complaints, lawsuit, and central government's financial burden. S. Korea government adopted a restriction- and compensation-based airport noise management policy against the problems in mid 1990s. It, however, turns out to be ineffective in guiding incompatible land uses and facilities away from the airports' environs and to encourage compatible ones to locate around the airports. Base on the United State's and United Kingdom's airport noise management practices, therefore, this study suggests a new spatial planning approach that emphasizes the following: 1) diversification of current airport noise mitigation programs, 2) introduction of "sector"-based, spatial management system, and 3) central government's close cooperation with local governments and communities.

• Journal of Ecology and Environment
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• v.43 no.4
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• pp.400-420
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• 2019

The aims of the study were to analyze (1) the effects of Prosopis juliflora (Prosopis) on the spatial distribution and soil seed banks (SSB) diversity and density, (2) the effects of environmental factors on SSB diversity and density (number of seeds in the soil per unit area), and (3) the effects of animal fecal droppings on SSB diversity, density, and dispersal. Aboveground vegetation data were collected from different Prosopis-infested habitats from quadrats (20 × 20 m) in Prosopis thickets, Prosopis + native species stand, non-invaded woodlands, and open grazing lands. In each Prosopis-infested habitats, soil samples were collected from the litter layer and three successive soil layer, i.e., 0-3 cm, 3-6 cm, and 6-9 cm. Seeds from soil samples and animal fecal matter were separated in the green house using the seedling emergence technique. Invasion of Prosopis had significant effects on the soil seed bank diversity. Results revealed that the mean value of the Shannon diversity of non-invaded woodlands was being higher by 19.2%, 18.5%, and 11.0% than Prosopis thickets; Prosopis + native species stand and open grazing lands, respectively. The seed diversity and richness, recovered from 6-9-cm-deep layer were the highest. On the other hand, the density of Prosopis seeds was the highest in the litter layer. About 156 of seeds/kg (92.9%) of seeds were germinated from cattle fecal matter. However, in a small proportion of seedlings, 12 of seeds/kg (7.1%) were germinated from shot fecal matter. Thus, as the seeds in the soil were low in the study areas, in situ and ex situ conservation of original plants and reseeding of persistent grass species such as Cynodon dactylon, Cenchrus ciliaris, Chrysopogon plumulosus, and Brachiaria ramosa are recommended.

• Korean Journal of Remote Sensing
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• v.39 no.5_2
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• pp.837-847
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• 2023

In this study, we explored a method for assessing the extent of damage caused by chemical substances at an accident site through the use of a vegetation index. Data collection involved the deployment of two different drone types, and the damaged area was determined using photogrammetry technology from the 3D point cloud data. To create a vegetation index image, we utilized spectral band data from a multi-spectral sensor to generate an orthoimage. Subsequently, we conducted statistical analyses of the accident site with respect to the damaged area using a predefined threshold value. The Kappa values for the vegetation index, based on the near-infrared band and the green band, were found to be 0.79 and 0.76, respectively. These results suggest that the vegetation index-based approach for analyzing damage areas can be effectively applied in investigations of chemical accidents.

• Journal of Food Hygiene and Safety
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• v.39 no.3
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• pp.191-208
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• 2024

The peptide-type hepatotoxins microcystins (MCs) and nodularin (NOD) are secondary metabolites produced by cyanobacteria. MCs and NOD can bioaccumulate in agricultural products through toxin-contaminated water, soil, and manure and can cause human health risks through the consumption of agricultural products. As interest in the contamination of agricultural products by MCs or NOD has recently emerged, occurrence studies based on various analysis methods for agricultural products have been conducted. However, studies on agricultural products are still insufficient compared to research on drinking water and seafood. In addition, research is primarily conducted on agricultural products grown in areas where green algae occur, but not on marketed products. In the present study, we review the physicochemical properties, toxicity, analysis methods, occurrence studies, and management status of MCs and NOD in agricultural products to build a foundation for systematic monitoring and safety management.

• Korean Journal of Remote Sensing
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• v.35 no.5_2
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• pp.819-829
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• 2019

In the disaster of collapse, an immediate response is needed to prevent the damage from worsening, and damage area calculation, response and recovery plan should be established. This requires accurate detection of the damage affected area. This study performed the detection of the damaged area by using UAV which can respond quickly and in real-time to detect the collapse accident. The study area was selected as B-05 housing redevelopment area in Jung-gu, Ulsan, where the demolition of houses and apartments in progress as the redevelopment project began. This area resembles a collapsed state of the building, which clear changes before and after the demolition. UAV images were acquired on May 17 and July 9, 2019, respectively. The changing area was considered as the damaged area before and after the collapse of the building, and the changing area was detected using CVA (Change Vector Analysis) the Representative Change Detection Technique, and SLIC (Simple Linear Iterative Clustering) based superpixel algorithm. In order to accurately perform the detection of the damaged area, the uninterested area (vegetation) was firstly removed using ExG (Excess Green), Among the objects that were detected by change, objects that had been falsely detected by area were finally removed by calculating the minimum area. As a result, the accuracy of the detection of damaged areas was 95.39%. In the future, it is expected to be used for various data such as response and recovery measures for collapse accidents and damage calculation.