• Journal of The Korean Association For Science Education
• /
• v.27 no.9
• /
• pp.818-831
• /
• 2007

Recognizing the importance of abductive inquiry in Earth science, some theoretical approaches that deploy abduction have been researched. And, it is necessary that the abductive inquiry in a geological field excursion as a vivid locale of Earth science inquiry should be researched. We developed a geological field trip based on the abductive learning model, and investigated students' abductive inference, thinking strategies used in those inferences, and the impact of a teacher's pedagogical intervention on students' abductive inference. Results showed that students, during the field excursion, could accomplish abductive inference about rock identification, process of different rock generation, joints generation in metamorpa?ic rocks, and terrains at the field trip area. They also used various thinking strategies in finding appropriate rules to construe the facts observed at outcrops. This means that it is significant for the enhancement of abductive reasoning skills that students experience such inquiries as scientists do. In addition, a teacher's pedagogical interventions didn't ensure the content of students' inference while they helped students perform abductive reasoning and guided their use of specific thinking strategies. Students had found reasoning rules to explain the 01: served facts from their wrong prior knowledge. Therefore, during a geological field excursion, teachers need to provide students with proper background knowledge and information in order that students can reason rues for persuasive abductive inference, and construe the geological features of the field trip area by the establishment of appropriate hypotheses.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.52 no.2
• /
• pp.1-20
• /
• 2024

The present study was conducted to assess the adequacy of landscaping plants in city streams by investigating the species and growth status of landscaping plants, taking Godeokcheon in Seoul Metropolitan City as an example. The stream structure related to the planting ground and the impact of flood damage were analyzed. The adequacy of the planting species was analyzed based on the native species and moist land-inhabiting plants presented in the preceding study results. The adequacy, depending on the planting location and planting form, was analyzed using the growth states of adaptive and nonadaptive species by river topography. The planting location of those along the waterfront was the best, followed by the plants on waterside hills and embankment slopes. It is thought that the adaptability of dryland-inhabiting plants increased as the soil dried due to the impervious pavement of surrounding bikeways and trails. The species adequate for embankment slopes are thought to be native species and dryland-inhabiting plants. It is thought that, for waterside hills, the planting rate of wetland-inhabiting plants should be increased, and for waterfronts, the planting rate of dryland-inhabiting plants should be decreased. As for the planting form, the growth state was the best when mixed species were planted and the worst when other plants appeared. For city streams, the planting rates of native species and wetland-inhabiting plants should be increased, and adequate plant species for each location should be selected.

• Journal of the Korean Association of Geographic Information Studies
• /
• v.27 no.1
• /
• pp.115-127
• /
• 2024

This research aimed to construct models with various structures based on the Transformer module and to perform land cover classification, thereby examining the applicability of the Transformer module. For the classification of land cover, the Unet model, which has a CNN structure, was selected as the base model, and a total of four deep learning models were constructed by combining both the encoder and decoder parts with the Transformer module. During the training process of the deep learning models, the training was repeated 10 times under the same conditions to evaluate the generalization performance. The evaluation of the classification accuracy of the deep learning models showed that the Model D, which utilized the Transformer module in both the encoder and decoder structures, achieved the highest overall accuracy with an average of approximately 89.4% and a Kappa coefficient average of about 73.2%. In terms of training time, models based on CNN were the most efficient. however, the use of Transformer-based models resulted in an average improvement of 0.5% in classification accuracy based on the Kappa coefficient. It is considered necessary to refine the model by considering various variables such as adjusting hyperparameters and image patch sizes during the integration process with CNN models. A common issue identified in all models during the land cover classification process was the difficulty in detecting small-scale objects. To improve this misclassification phenomenon, it is deemed necessary to explore the use of high-resolution input data and integrate multidimensional data that includes terrain and texture information.

• Journal of the Korean Institute of Landscape Architecture
• /
• v.52 no.4
• /
• pp.1-17
• /
• 2024

This study analyzed the behaviors and satisfaction of park users in nine parks representing first and second-generation new towns, aiming to propose directions for planning new town parks. According to the analysis, park users in new towns mainly visit parks for purposes such as relaxation, strolling, and exercise, often with family, alone, or with friends. They typically spend 1-2 hours in the park and mostly access it on foot. Additionally, satisfaction with park accessibility is high, particularly among pedestrians. Satisfaction survey results indicate that pedestrian pathways, trees and vegetation, water features, rest areas, and cultural facilities have the greatest impact on overall park satisfaction. Playgrounds and sports facilities show relatively lower satisfaction levels, indicating a need for improvement. Furthermore, according to NPS analysis, park users are highly willing to recommend parks, especially with Gwanggyo Lake Park and Dongtan Central Park receiving high recommendation scores. IPA analysis shows that pathways and vegetation are perceived as highly important and satisfactory, while playgrounds and sports facilities are categorized as areas needing improvement. Thus, there is a need to consider improvement strategies for each. Additionally, identifying park users' grievances can lead to creating a better park environment. Finally, concerning the planning direction for new town parks, linear-shaped parks facilitating walking are preferred, with parks preserving natural terrain and forests deemed the most desirable. Based on these results, future city parks, including those in the third-generation new towns, should harmonize with nature and prioritize pedestrian access.

• Korean Journal of Agricultural and Forest Meteorology
• /
• v.26 no.3
• /
• pp.209-218
• /
• 2024

The National Institute of Agricultural Sciences (NAS) operates in-house long-range climate forecasting system to support the agricultural use of climate forecast data. This system, developed through collaborative research with Pusan National University, is based on the PNU/RDA Coupled General Circulation Model (CGCM) and includes the regional climate model WRF (Weather Research and Forecasting). It generates detailed climate forecast data for periods ranging from 1 to 6 months, covering 20 key variables such as daily maximum, minimum, and average temperatures, precipitation, and agricultural meteorological elements like solar radiation, soil moisture, and ground temperature-factors essential for agricultural forecasting. The data are provided at a daily temporal resolution with a spatial resolution of a 5km grid, which can be used in point form (interpolated) or averaged across administrative regions. The system's seasonal temperature and precipitation forecasts align closely with observed climatological data, accurately reflecting spatial and topographical influences, confirming its reliability. These long-range forecasts from NAS are expected to offer valuable insights for agricultural planning and decision-making. The detailed forecast data can be accessed through the Climate Change Assessment Division of NAS.

• Journal of Korean Society of Forest Science
• /
• v.113 no.3
• /
• pp.271-281
• /
• 2024

The purpose of this study is to establish baseline data on the habitat status of Dracocephalum argunense Fisch. ex Link by identifying its vegetation structure and correlating environmental factors. A total of 9 vegetation plots (10 m×10 m) were surveyed. Cluster analysis revealed a total of three clusters: Quercus aliena (Group 1), Pinus thunbergii-Rubus parvilolius (Group 2), and Indigofera kirilowii-Zanthoxylum piperitum (Group 3). The importance value of D. argunense was the highest in Group 2, with a value of 6.19. Diversity analysis indicated a range of 2.747-3.166, but differences among the groups was not statistically significant (p>0.05). In the areas surrounding sedimentary rock zones, invasive plants were identified as indicator species, emphasizing the need for monitoring invasive species in the future. Although D. argunense exhibits good adaptability to moisture and atmospheric conditions due to its diverse habitats (forest and coast), there is a risk of decline due to interspecific competition and human activities, as analyzed in this study.

• Journal of Korean Society of Forest Science
• /
• v.113 no.3
• /
• pp.349-360
• /
• 2024

This study aimed to analyze the main forest environmental factors affecting the discernment of slow-moving landslide-prone areas in the Republic of Korea, based on data from a detailed landslide survey conducted from 2019 to 2021. Field survey data from 256 sites were collected covering 29 forest environmental factors in seven categories, including geology, soil, and topography. The analysis was conducted using the Random Forest model (AUC = 0.910) and XGBoost model (Accuracy = 0.808, Kappa = 0.594, F1 - measure = 0.494), which were evaluated as having high classification accuracy during the machine learning model development process. Consequently, factors with a high mean decrease Gini (MDG), representing classification importance, were identified as the presence of cracks (average MDG of both models: 22.1), peak elevation (14.8), and the presence of steps (7.0), indicating that these were significant factors in determining slow-moving landslide-prone areas. The presence of cracks and steps aligned well with the characteristics of slow-moving landslides, suggesting that their importance should be emphasized in future detailed landslide surveys. However, the influence of the peak elevation was considered somewhat overestimated due to the characteristics of the input data used in the analysis. These findings are expected to further improve the accuracy and efficiency of final judgments in detailed landslide surveys.

• Journal of the Korean Institute of Traditional Landscape Architecture
• /
• v.42 no.2
• /
• pp.20-32
• /
• 2024

The purpose of this study was to divide cultural assets distributed in Shandong Province, China into five periods and identify the spatial distribution of each cultural asset type and its relationship with the natural environment, such as elevation, slope, and water system. As a result of the study, cultural properties before the Jin dynasty had a high distribution ratio of urban relics such as villages and tombs, and in Jin·Han~Su·Tang dynasty, tombs, ruins, stone caves, and stone carvings. In the Song and Yuan dynasties, there were many cultural properties such as relics, architectural and landscape cultural properties, and in the Ming and Qing dynasties, there were many cultural properties such as buildings, and they were more spatially distributed and distributed. After the Qing Dynasty, commemorative sites, political and defense-related buildings were distributed throughout Shandong, and many cultural assets were located in coastal cities on the east side of Shandong Province. It was found that the types of cultural assets were influenced not only by the social environment of each era but also by the natural environment. Except for cultural assets related to religion, such as grottoes and stone carvings, most cultural assets were located at low elevations and low slopes, and cultural assets were often distributed within 5km of water systems.

• KSCE Journal of Civil and Environmental Engineering Research
• /
• v.33 no.1
• /
• pp.181-194
• /
• 2013

Landslides are known as gravitational mass movements that can carry the flow materials ranging in size from clay to boulders. The various types of landslides are differentiated by rate and depositional features. Indeed, flow characteristics are observed from very slow-moving landslides (e.g., mud slide and mud flow) to very fast-moving landslides (e.g., debris avalanches and debris flows). From a geomechanical point of view, shear-rate-dependent shear strength should be examined in landslides. This paper presents the design of advanced ring-shear apparatus to measure the undrained shear strength of debris flow materials in Korea. As updated from conventional ring-shear apparatus, this apparatus can evaluate the shear strength under different conditions of saturation, drainage and consolidation. We also briefly discussed on the ring shear apparatus for enforcing sealing and rotation control. For the materials with sands and gravels, an undrained ring-shear test was carried out simulating the undrained loading process that takes place in the pre-existing slip surface. We have observed typical evolution of shear strength that found in the literature. This paper presents the research background and expected results from the ring-shear apparatus. At high shear speed, a temporary liquefaction and grain-crushing occurred in the sliding zone may take an important role in the long-runout landslide motion. Strength in rheology can be also determined in post-failure dynamics using ring-shear apparatus and be utilized in debris flow mobility.

• 한국지형공간정보학회:학술대회논문집
• /
• 2002.03a
• /
• pp.106-112
• /
• 2002

최근 급속한 도시의 팽창 및 신도시 건설과 산업의 발전으로 가스시설은 꾸준히 확대되고 있는 실정이다. 그리고 94년 아현동 도시가스사고와 95년 대구 도시가스사고 이후로 도시 가스 시설물의 대한 안전 대책 및 시설물 관리에 대한 국민들의 관심이 증대되었다. 이러한 흐름에 따라 가스회사들은 GIS 기술을 도입하여 기존에 수작업으로 관리되고 있는 가스시설 정보체계를 전산화하여 항상 최신의 현황을 유지하고, 사고 발생시 신속한 대처 방안 및 피해예측을 위한 시스템을 개발하기 위하여 많은 연구를 진행하고 있는 실정이다. 본 연구의 목적은 안전이 중요시되는 가스시설물에 대하여 가스사고 발생시 신속한 대처 및 처리방안을 제시할 수 있는 GIS 기반의 가스사고 관리시스템을 개발하는데 있다. GIS의 가스사고 관리시스템에서는 사고 발생시에 시설물 관리자가 사고 지점을 선택하여 우선적으로 공급을 중단해야 할 관로를 제시하고 사고지점을 검색하여 차단해야 할 밸브에 대한 정보를 신속히 제공하여 대응 방안을 제시 할 수 있도록 하였다. 아울러 가스공급이 중단되는 지역에 대한 정보를 추출하여 피해범위를 산정하여 효율적인 사고 관리를 지원하도록 구성되었으며, 이와 함께 잔존가스량을 구하여 사고후의 대처방안을 마련할 수 있는 기능을 제공하도록 하였다. 향후 연구과제로는 원격으로 가스 시설물을 감시하고 제어할 수 있는 원격감시/제어시스템(SCADA System)과 연계를 통하여 가스사고 후에 신속한 피해예측 및 피해를 최소화 할 수 있는 방안제시 및 GPS를 활용하여 신속한 사고처리를 할 수 있는 활용 방안을 연구하여 체계적이고 종합적인 가스사고의 관리가 필요하다고 사료된다. 또한, 사고 후의 긴급 대처방안 뿐만 아니라 잔존가스량을 이용하여 수용가에 가스의 신속한 재공급을 위한 정보의 제공까지 한 단계 발전된 시스템의 개발이 추진되어야 한다.남산지역에 대해 정사영상과 10m간격의 DEM을 제작하였으며 1:1000 수치지도를 통해 제작된 DEM과 비교한 결과 총 43990개 격자점의 표고 차이는 평균 5.98m였다.여재 높이 100 cm에서 원수를 하향류 및 상향류로 주입하면서 하향류 20, 40, 80, 100 cm, 상향류 20, 40, 60, 80, 100 cm에서 시료를 채취하여 분석한 결과 모두 원수가 주입되는 부근 여재 높이 20 cm에서 가장 많이 제거되었다. 상향류 보다 하향류로 원수를 주입했을 때 제거효율이 높았다. $Fe^{+++}$을 $Fe^{++}$로 환원하는 $O^{-}_{2}{\cdot}$의 작용을 대신할 수 있음을 증명하며 이와같은 ascorbate 의존적인 $OH{\cdot}$ 의 생성은 ascorbate가 조직손상에 관여할 가능성을 시사하였다.었다. 정확한 예측치를 얻기 위하여 불균질 조직이 조사야에 포함되는 경우 보정이 요구되며, 골반의 경우 골 조직의 보정이 중요한 요인임을 알 수 있었다. 이를 위하여 불균질 조직에 대한 정확한 정보가 요구되며, 이는 CT 영상을 이용하는 것이 크게 도움이 되리라 생각된다.전시 슬러지층과 상등액의 온도차를 측정하여 대사열량의 발생량을 측정하고 슬러지의 활성을 측정할 수 있는 방법을 개발하였다.enin과 Rhaponticin의 작용(作用)에 의(依)한 것이며, 이는 한의학(韓醫學) 방제(方劑) 원리(原理)인 군신좌사(君臣佐使) 이론(理論)에서 군약(君藥)이 주증(主症)에 주(主)로 작용(作用)하는 약물(藥物)이라는 것을 밝혀주는 것이라고 사료(思料)된다.일전 $13.447\;{\mu}g/hr/g$, 섭취 7일중 $8.123\;{\mu}g/hr/g$, 절식 14일후 $10.612