• Journal of Distribution Science
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• v.13 no.10
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• pp.115-122
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• 2015

Purpose - This study was conducted to develop a beekeeping farm management standard checklist. This is essential to increase the competitive power of beekeeping farmers. Checklists in relation to crops and livestock were established by the Rural Development Administration in the 2000s. To date, 60 checklists have been created by crop and livestock experts. However, other farmers outside the 60 checklists are increasing. Therefore, extra development is required for these farmers. This study was conducted to meet farmers' requirements. The special farming dealt with in this study is beekeeping. Such checklists were not developed due to the small number of beekeeping farmers. However, these days, a number of such farmers are emerging. Research design, data, and methodology - Many related experts participated in this study. This study was conducted in four stages. First, a basic outline of beekeeping was created by surveying many kinds of beekeeping experts. The draft of the beekeeping checklist was created by a secondary advisory council. This draft was then sent to 14 beekeeping experts to confirm whether or not it was suitable as a management checklist. For collecting the experts' opinions, a direct visit survey was done through an arranged questionnaire. Additionally, a basic management checklist blueprint was reviewed by many experts. In the third stage, a Delphi survey method was utilized with a special Delphi questionnaire. In this stage, experts who participated in the first and second stages were excluded. As there were uncertain answers among them, a second Delphi survey was done. As a result of this survey, all answers were agreed among them. Results - From the results of this survey, four subjects in the management accomplishment index were determined. These are farming scale, average product per beehive, the sale price of honey (1kg), and the number of bee plates in the beehive. In the case of the management checklist content, five items were determined. These are beekeeping farming facilities, the environment around the farm land and general management, the product management of the beekeeping harvest, the management of the disease and pest, and farming management. This checklist will be utilized for beekeeping farmers to implement in a management situation. Conclusions - These days, the number of beekeeping farmers is increasing. The management checklist for beekeeping farmers will be used to improve their farming situation and marketing. Beekeeping farmers can understand their management by reviewing their checklist. After checking, the situation of management can be analyzed. Farmers can supplement weaknesses with expert advice. This checklist will be used by agricultural technique extension workers for farming management consulting. This checklist has to be complemented by a change in the management of the environment. This checklist will be delivered to beekeeping farmers after a verification survey is done. The result of the checklist score will be utilized for a benchmarking service to be implemented for beekeeping farmers to utilize.

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

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.18 no.1
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• pp.40-46
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• 2013

The isotope ratios of $^{13}C/^{12}C$ and $^{18}O/^{16}O$ for a sample in a mass spectrometer are measured relative to those of a pure $CO_2$ reference gas (i.e., laboratory working standard). Thus, the calibration of a laboratory working standard gas to the international isotope scales (Pee Dee Belemnite (PDB) for ${\delta}^{13}C$ and Vienna Standard Mean Ocean Water (V-SMOW) for ${\delta}^{18}O$) is essential for comparisons between data sets obtained by other groups on other mass spectrometers. However, one often finds difficulties in getting well-calibrated standard gases, because of their production time and high price. Additional difficulty is that fractionation processes can occur inside the gas cylinder most likely due to pressure drop in long-term use. Therefore, studies on laboratory production of pure $CO_2$ isotope standard gas from stable solid calcium carbonate standard materials, have been performed. For this study, we propose a method to extract pure $CO_2$ gas without isotope fractionation from a solid calcium carbonate material. The method is similar to that suggested by Coplen et al., (1983), but is better optimized particularly to make a large amount of pure $CO_2$ gas from calcium carbonate material. The $CaCO_3$ releases $CO_2$ in reaction with 100% pure phosphoric acid at $25^{\circ}C$ in a custom designed, evacuated reaction vessel. Here we introduce optimal procedure, reaction conditions, and samples/reactants size for calcium carbonate-phosphoric acid reaction and also provide the details for extracting, purifying and collecting $CO_2$ gas out of the reaction vessel. The measurements for ${\delta}^{18}O$ and ${\delta}^{13}C$ of $CO_2$ were performed at Seoul National University using a stable isotope ratio mass spectrometer (VG Isotech, SIRA Series II) operated in dual-inlet mode. The entire analysis precisions for ${\delta}^{18}O$ and ${\delta}^{13}C$ were evaluated based on the standard deviations of multiple measurements on 15 separate samples of purified $CO_2$. The pure $CO_2$ samples were taken from 100-mg aliquots of a solid calcium carbonate (Solenhofen-ori $CaCO_3$) during 8-day experimental period. The multiple measurements yielded the $1{\sigma}$ precisions of ${\pm}0.01$‰ for ${\delta}^{13}C$ and ${\pm}0.05$‰ for ${\delta}^{18}O$, comparable to the internal instrumental precisions of SIRA. Therefore, we conclude the method proposed in this study can serve as a way to produce an accurate secondary and/or laboratory $CO_2$ standard gas. We hope this study helps resolve difficulties in placing a laboratory working standard onto the international isotope scales and does make accurate comparisons with other data sets from other groups.