• Korean Journal of Environmental Biology
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• v.22 no.3
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• pp.351-368
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• 2004

Following the previous experiments, a starvation experiment was conducted to determine the influence of feeding and starvation on the histological and biochemical changes, the morphormetric changes in the sectioned body and the morphometric changes in Rhynchocypris oxycephalus (Sauvage and Dabry). The influence of starvation on nutritional conditions of the histological changes of hepatocyte and intestinal epithelium as hepatosmatic index (HSI), protein, RNA and DNA concentrations of liver in R. oxycephalus was tested. Although the starved group showed higher concentrations of protein, DNA and RNA than the fed group, food deprivation resulted in a decrease in the HSI, hepatocyte nucleus size and nuclear height of the intestinal epithelium. The RNA - DNA ratio appears to be a useful index of nutritional status in R. oxycephalus and may be useful for determining if R. oxycephalus is in a period of rapid or slow growth at the time of sampling. Additionally, the data have been interpreted in detail and some biologically important relationships discussed. The effects of starvation on the morphometrical changes in sectioned body traits, condition factor, viscera index and dressing percentage were determined for evaluating nutritional conditions of R. oxycephalus. Starvation for nine weeks resulted in a decrease in most sectioned traits as well as in condition factor and viscera index (P<0.05). These findings suggest that nutritional parameters used in this study appear to be a useful index for nutritional status in this species. The data has been interpreted in detail and some important body sectioned values of interest to commercial growers discussed. A 75-day study was conducted to determine the effect of starvation on classical and truss parameters in R. oxycephalus. Truss dimensions of almost the entire head and trunk region as well as the abdomen were increased significantly through feeding or starvation (P<0.05). Truss dimensions of the caudal region generally decreased through feeding or starvation, particularly those dimensions at the hind part of the trunk. There were some significant decreases in classical dimensions of the head region during feeding, in relation to body depth characteristics in the trunk and caudal region during starvation, whereas there was only one decreasing classical dimension in the caudal region during feeding. The results of this study indicate that application of the truss network as a character set enforces classical coverage across the body form, discrimination among experimental groups thus being enhanced. Considering that the dimension of the lower part of the head and some truss and classical dimensions were least affected by feeding and starvation, these dimensions may then be useful as a taxonomical indicator to discriminate the species of Rhynchocypris sp. The value of trunk region dimensions with a large component of body depth in R. oxycephalus is most likely to be compromised by variability related to differences in feeding regimes of fish in different habitats.

• Korean Journal of Plant Resources
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• v.25 no.2
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• pp.246-256
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• 2012

This study intended to investigate the distribution of natural habitats, and the environmental factors, vegetation and soil analysis at 22 different sites of 9 regions in order to understand the environmental characteristics of $Adoxa$ $moschatellina$ in Prov. Gangwon-do. Natural habitats are confirmed at 44 regions of 14 cities and counties except for Donghae-si, Sokcho-si, Gosung-gun and Yanggu-gun in Prov. Gangwon-do. Natural habitats were located at altitudes of 99-1,084 m with slope inclinations of $0-25^{\circ}$. A total of 215 vascular plant taxa are identified from 22 quadrates. Importance value for members of the herbaceous (H) layer were as follows: $Adoxa$ $moschatellina$ 32.8%; $Meehania$ $urticifolia$ 7.5%; $Cardamine$ $leucantha$ 5.1%; $Scopolia$ $japonica$ 3.8%; $Corydalis$ $remota$ 3.3%. The importance value of the last four species are high, so they are at affinity with $Adoxa$ $moschatellina$ in their habitats. Species diversity of investigated sites ranged 0.4870-0.9848, and that of evenness and dominance are 0.4525-0.7601 and 0.1335-0.4191, respectively. Cluster analysis based on importance value appeared the high relations with differences of dominance species. Field capacity of investigated sites ranged 4.29-38.45%, and the soil pH and organic matter were 4.61-5.98 and 2.44-20.21, respectively.

• The Journal of Engineering Geology
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• v.33 no.4
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• pp.673-687
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• 2023

Exploratory data analysis is the process of observing and understanding data collected from various sources to identify their distributions and correlations through their structures and characterization. This process can be used to identify correlations among conditioning factors and select the most effective factors for analysis. This can help the assessment of landslide susceptibility, because landslides are usually triggered by multiple factors, and the impacts of these factors vary by region. This study compared two stages of exploratory data analysis to examine the impact of the data exploration procedure on the landslide prediction model's performance with respect to factor selection. Deep-learning-based landslide susceptibility analysis used either a combinations of selected factors or all 23 factors. During the data exploration phase, we used a Pearson correlation coefficient heat map and a histogram of random forest feature importance. We then assessed the accuracy of our deep-learning-based analysis of landslide susceptibility using a confusion matrix. Finally, a landslide susceptibility map was generated using the landslide susceptibility index derived from the proposed analysis. The analysis revealed that using all 23 factors resulted in low accuracy (55.90%), but using the 13 factors selected in one step of exploration improved the accuracy to 81.25%. This was further improved to 92.80% using only the nine conditioning factors selected during both steps of the data exploration. Therefore, exploratory data analysis selected the conditioning factors most suitable for landslide susceptibility analysis and thereby improving the performance of the analysis.

• Journal of the Korean earth science society
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• v.25 no.8
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• pp.764-773
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• 2004

The soil in wildfire area Sacheon-myeon, Gangneung, Gangweon Province, Korea, were investigated to clarify pattern of the soils. The soils were classified into 5 types on the basis of vegetation, types of organic matter. thickness of soil horizons, and completeness of soil profile. Each type showed different erosion pattern and Landsat ETM image. Coverage of plant leaves, litter, root, ash and other organic matter was an important component that affected soil color and reflectance of Landsat image (digital number). Although the NDVI (Normalized Distribution Vegetation Index) method in the wildfire area did not show much difference in soil types, the applied supervised classification method showed characteristic pattern of Landsat ETM image of soil types. This study showed that the applied supervised Landsat TM image classification in wildfire area is an effective way to estimate the distribution of erosion pattern of soil in wildfire area.

• Journal of Korean Society for Geospatial Information Science
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• v.19 no.3
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• pp.23-32
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• 2011

This research uses a distributed model, Vflo which can devide subwater shed into square grids and interpret diverse topographic elements which are obtained through GIS processing. To use the distributed model, soil wetness information was extracted through Tasseled Cap transformation from LANDSAT 7 $ETM^+$ satellite data and then they were applied to each cell of the test area, unlike previous studies in which have applied average soil condition of river basin uniformly regardless of space-difference in subwater shed. As a resut of the research, it was ascertained the spatial change of soil wetness is suited to the distributed model in a subwater shed. In addition, we derived out a relation between soil wetness of image collection time and 10 days-preceded rainfall and improved the feasibility of weights obtained by the relation equation.

• Journal of the Korean Data and Information Science Society
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• v.26 no.2
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• pp.429-440
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• 2015

This study was to investigate factors influencing the school adjustment according to gender and body mass index (BMI) of middle school students who participated in the 2nd-wave Korea Children and Youth Panel Study (KCYPS). This study used a crosssectional design with secondary analysis with KCYPS. The variables were parental interest, behavioral problem, aggression, attention problem, somatic symptom, social withdrawal, depression, and academic achievement. The data were analyzed with descriptive statistics, Pearson's correlation coefficients, and multiple regressions. School adjustment was significantly associated with academic achievement high, explaining 11.3~19.1% of the variance in boys. School adjustment was significantly associated with attention problem, explaining 14.9~42.4% of the variance in girls. Factors influencing school adjustment were significantly different according to gender and BMI. To improve the school adjustment, it is necessary to develop gender-specific school adjustment promotion programs according to BMI.

• Spatial Information Research
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• v.19 no.1
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• pp.41-50
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• 2011

In Chilgok, industrial complex and agro-industrial complex has facilitated with the population growth rate of 2.79% since 1995. And the city should be apparently required more additional land for agriculture and industrial complex due to the demands of developments. However, many experts has pointed out that utilization of national and public property might be declined recently because the property management office owns too many unnecessary idle lands. So the city is being faced with the necessity of establishing an efficient system for the management of available lands. Therefore, this study evaluated the economic value of available national and public land in Chilgok city. Rental or sale of economic value by separating the target has been also assessed. As a result, each town has totally different characteristics of available lands and the economic values and the numerical change of economic values can measure when merge lots.

• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.379-379
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• 2019

환경부 홍수통제소에서는 효율적인 수재해 관리 및 안정적 용수공급을 위해 댐 보 연계운영협의회를 운영 중에 있으며, 이를 위해 다목적댐, 용수댐, 농업용저수지 및 다기능보 등 다양한 시설물 운영현황을 관리하고 있다. 그 중, 강수량은 각 시설물들의 운영에 근간이 되고 수재해에 직접적인 영향을 미침에 따라 가장 우선시 관리되는 항목이다. 그러나 시설물별 강수량 활용 기준이 상이하여 가뭄 상황 시 많은 혼란이 야기되고 있다. 예를 들어 섬진강유역에 가뭄이 발생하였고 그 원인으로 A댐 운영자가 해당일로부터 과거 30일 평년대비 강수량, B저수지 운영자가 당년 1월부터 현재까지 누적강수량의 평년대비 강수량을 제시하는데 가용자료 기간이 달라 가뭄에 기여한 강수상황을 구체적으로 인지하기가 어렵다. 한편, 기상청에서는 수문기상가뭄정보시스템 개발을 통해 우리나라 전역에 기상학적 가뭄정보를 제공하고 있다. 다만 다양한 가용자료 기간 구분에 따라 많은 지수들이 제공되고 있어(예: SPI3, 6, 9 등) 가뭄판단 및 예측에 있어 많은 혼돈이 야기되고 있다. 결국, 수자원관리자는 다양한 기상학적 가뭄정보들 중에서 관할 유역 및 시설물에 적합한 자료를 활용할 수 있는 기술개발이 필요하다. 본 연구에서는 댐과 농업용저수지 가뭄판단을 위한 강수량 활용 적정 지속기간을 도출하고자 한다. 이를 위해 각 시설물 상류에 위치한 강수량자료를 수집하고, 유역평균강수량을 계산하였다. 강수량을 30일 단위로 720일까지 매일 누적기간 강수량자료를 예년대비 값으로 변환하였고, 댐과 농업용저수지는 일 단위 예년대비 저수량 값을 활용하였다. 적정 지속기간 분석을 위해 상관성 분석 및 ROC 분석을 수행하였으며, 그 결과 여름철에는 지속기간 1~3개월 강수량, 나머지 기간에서는 지속기간 9개월 강수량 활용이 적절한 것으로 확인되었다. 본 연구결과는 시설물 가뭄관리(운영 및 예측)에 유용하게 활용될 것으로 기대된다.

• Journal of the Society of Disaster Information
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• v.17 no.2
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• pp.319-328
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• 2021

Purpose: Recently, a large social disaster has called for the need to diagnose social disaster safety, and the Ministry of Public Administration and Security calculates and publishes regional safety ratings such as regional safety index and national safety diagnosis every year. The existing safety diagnosis system uses equal intervals or normal distribution to grade risk maps in a uniform manner. Method: However, the equidistant technique can objectively analyze risk ratings, but there is a limit to classifying risk ratings when the distribution is skewed to one side, and the z-score technique has a problem of losing credibility if the population does not follow a normal distribution. Because the distribution of statistical data varies from indicator to indicator, the most appropriate rating should be applied for each data distribution. Result: Therefore, in this paper, we analyze the data of disaster indicators and present a comparison and suitable method for traditional equidistant and natural brake techniques to proceed with optimized grading for each indicator. Conclusion: As a result, three of the six new indicators were applied differently from conventional grading techniques

• Journal of the Economic Geographical Society of Korea
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• v.17 no.4
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• pp.718-742
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• 2014

The capitalist economic process of glocalization and development of transportation and communication technology have led us to the significance of network city as well as concepts of global city, megacity region, etc. Network city theory pursues development of both individual cities and of the region of those cities through strengthening of mutual connectivity among them with specialized industries. On the basis of network city theory, this paper is to analyze specialized industries of cities and connectivity among them in the Youngnam region in S. Korea. It uses the methods of locational quotient, locational Gini coefficient, and shift-share method to analyze specialized industries of cities, and correspondence analysis, global and local Moran's I to examine connectivity among cities. As results, it can be identified that each city in the Youngnam region has its own specialized industries different from each others, but it seems not easy to grasp the overall extent of connectivity among them, partly because of the limitations of applied analysis methods and partly because of a lack of connectivity among cities themselves.