• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.179-183
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• 2010

본 연구는 낙동강 중류 지역의 경북 구미시, 경북 왜관읍, 경북 성주군과 하류 지역의 경남 함안군, 창원시 북면과 대산면, 김해시 생림면의 하성충적층 내 지하수와 낙동강물의 연관성을 파악하였다. 중류와 하류지역에서 하성충적층의 주 대수층(모래자갈층)의 두께는 10m 내외로서 공간적으로 큰 차이를 보이지는 않는다. 하성충적층의 수리전도도는 $10^{-5}{\sim}10^{-3}$m/sec를 나타낸다. 하성충적층의 지하수위는 지역에 따라 해수면 기준으로 1.40~11.5m에서 변동하며, 지하수위와 낙동강 수위는 높은 상관성을 보인다. 지하수와 낙동강물의 화학분석 결과, 칼슘, 마그네슘, 나트륨, 칼륨, 염소, 규산, 중탄산, 망간, 철과 같은 무기성분의 농도는 지하수에서 더 높게 나타나고 있으나, 질산염의 농도는 낙동강물에서 더 높게 나타난다. 지하수내의 유기물질의 농도는 계절에 관계없이 비교적 일정하나, 낙동강물의 유기물질 농도는 우기보다 건기에 더 높은 경향성을 보이고 있다. 이러한 연구결과는 4대강 살리기 사업이나 하천주변지역의 수자원 개발에 활용될 수 있을 것이다.

• Journal of the Korean Geographical Society
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• v.40 no.3 s.108
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• pp.296-309
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• 2005

In this study, we investigated the change of future land-surface and relationships of land-surface change with geo-spatial information, using a Bayesian prediction model based on a likelihood ratio function, for analysing the land-surface change of the Gongju area. We classified the land-surface satellite images, and then extracted the changing area using a way of post classification comparison. land-surface information related to the land-surface change is constructed in a GIS environment, and the map of land-surface change prediction is made using the likelihood ratio function. As the results of this study, the thematic maps which definitely influence land-surface change of rural or urban areas are elevation, water system, population density, roads, population moving, the number of establishments, land price, etc. Also, thematic maps which definitely influence the land-surface change of forests areas are elevation, slope, population density, population moving, land price, etc. As a result of land-surface change analysis, center proliferation of old and new downtown is composed near Gum-river, and the downtown area will spread around the local roads and interchange areas in the urban area. In case of agricultural areas, a small tributary of Gum-river or an area of local roads which are attached with adjacent areas showed the high probability of change. Most of the forest areas are located in southeast and from this result we can guess why the wide chestnut-tree cultivation complex is located in these areas and the capability of forest damage is very high. As a result of validation using a prediction rate curve, a capability of prediction of urban area is $80\%$, agriculture area is $55\%$, forest area is $40\%$ in higher $10\%$ of possibility which the land-surface change would occur. This integration model is unsatisfactory to Predict the forest area in the study area and thus as a future work, it is necessary to apply new thematic maps or prediction models In conclusion, we can expect that this way can be one of the most essential land-surface change studies in a few years.

• Journal of Korea Spatial Information System Society
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• v.9 no.1
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• pp.15-30
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• 2007

The purpose of this study is to explore essential factors of influencing user's usage intentions on telematics services and to find relationships among factors. This study derives several variables and hypotheses through literature reviews on the extended research model based on Davis's Technology Acceptance Model. With the objective of statistical verification, derived variables were sorted into meaningful categories through various statistical packages. These were included multiple regression analysis to improve the reliability of survey data. The demand analysis was conducted by targeting on users who have previously experienced telematics services. Indicated analyzed results which 'suitability', 'localization', and 'instant connectivity' variables were positively related to the user's usage intentions, especially accuracy of information variable. The factors of influencing the usage intention on telematics services can be useful empirical data in order to analyze the market trends and to suggest industrial or political guideline of telematics services.

• Journal of the Korean Geographical Society
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• v.38 no.5
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• pp.786-801
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• 2003

This paper examines a spatial pattern and processes of academic achievement in deprived area, considering relationship between academic achievement and social deprivation as social context. It links academic achievement data with neighborhood data from the 2001 UK Census(by ward) in South East England and uses multiple regression modeling to estimate the contribution of social deprivation to academic achievement of primary schools. The findings suggest that there is a significant positive relationship between deprivation in the local residential environment and academic achievement in primary schools. It also argues that more deprived area in South East England would tend to promote greater inequality of academic achievement in the spatial aspects, relating to Key Stage 2 score.

• Journal of the Economic Geographical Society of Korea
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• v.16 no.4
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• pp.613-630
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• 2013

This study attempts to analyze the spatial characteristics of organic agriculture in Korea during the period of 2000~2010, focusing on women's labor contribution to agricultural operations. Spatial distribution and concentration of organic farming have been investigated using Location Quotient(LQ) and Local Indicator of Spatial Association(LISA), it was found that the specialized organic farmland in the Seoul Metropolitan area has decreased significantly over the past decade, while in Chungnam and Kyungpook province it has been rapid growth in the same period. Multilinear regression analysis was also carried out to find out whether the spatial clusters in organic farming depends on women farmers. Results describing the correlation between organic farming and women farmers within identified clusters suggest that the possibility of the transition towards sustainable agriculture and farmland restructuring in Korea, by women.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.43 no.2
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• pp.175-185
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• 2023

As drought risk increases due to climate change, various research works are underway around the world to respond to drought so as to minimize drought damage. In particular, in recent years, many studies are focused on analyzing regional patterns of drought in a comprehensive manner, however there is still insufficient to quantitatively identify drought-risk areas in a large river basin considering climate change in Korea. In this study, we calculated the Standardized Precipitation Index (SPI) and the Modified Standardized Precipitation Index (M_SPI) as representative meteorological drought index, and performed spatial autocorrelation analysis to identify the drought hotspot region under climate change scenarios of Representative Concentration Pathway (RCP) 4.5 and RCP 8.5. The SPI was calculated by estimating parameters for each observation station within the study area, whereas the M_SPI was calculated by estimating parameters for the entire study area. It is more reasonable to use the M_SPI for assessing meteorological drought from an overall perspective within the study area. When the M_SPI was used, long-term droughts showed drought hotspot areas clearly larger than short-term droughts. In addition, the drought hotspot area moved from the center of the Nakdong River basin to the Seomjin River basin over time. Especially, the moving patterns of the short-term/long-term drought were apparent under the RCP 4.5, whereas the moving patterns of the long-term drought were distinct under the RCP 8.5 scenarios.

• Journal of the Korean Geographical Society
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• v.45 no.4
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• pp.502-520
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• 2010

The main objective of the paper is to develop a GIS-based method for delineating spatial clusters. Major tasks are: (i) to devise a sustainable algorithm with reference to various methods developed in the fields of geographic boundary analysis and cluster detection; (ii) to develop a GIS-based program to implement the algorithm. The main results are as follows. First, it is recognized that the AMOEBA technique utilizing LISA is the best candidate. Second, a modified version of the AMOEBA technique is proposed and implemented in a GIS environment. Third, the validity and usefulness of the modified AMOEBA algorithm is assured by its applications to test and real data sets.

• Proceedings of the Korea Water Resources Association Conference
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• 2022.05a
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• pp.322-322
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• 2022

유역 모형은 강우가 유출에 이르는 과정을 수문학적으로 재현해낼 수 있는 도구이다. 초기의 모형은 간단한 수준에서 유출과정을 모의하는데 그쳤으나, 기술이 발전함에 따라 유역 모형에 적용되는 매개변수의 수가 점차 늘어나게 되며 이론적 신뢰성과 복잡성을 동시에 갖게 되었다. 유역 모형은 집중형 모형과 분포형 모형으로 대별할 수 있는데, 기존에는 저류 함수법을 근간으로 하는 개념 기반의 HEC-HMS HEC-RAS 등과 같은 집중형 모형을 널리 사용한 반면, 점차 격자 기반에서 물리적 계산을 통해 유출 과정을 모의할 수 있는 GSSHA, Vflo, SWAT과 같은 분포형 모형의 활용이 늘어나고 있는 추세이다. 집중형 모형은 관측자료를 통해 산정된 경험식에 의존하고 있는 반면, 분포형 모형의 경우 각 격자가 가지고 있는 시·공간적 매개변수를 통해 물리적으로 유출과정을 계산하여 신뢰성을 확보하기에 유리하며, 미계측 유역에서도 활용이 가능하다. 지하수는 유역 모형의 댜양한 매개변수들 중 지표면 유출량에 밀접한 영향을 미치는 인자이다. 그럼에도 아직까지 경험식에 의존한 집중형 모형이 주를 이루고 있는 국내에서는 분포형 모형에 적용가능한 매개변수 최적화에 대한 연구는 미진한 실정이다. 이에 본 연구에서는 분포형 유역 모형의 침투모의 과정에 관여하는 공간 매개변수 중 밀접한 연관을 띠고 있는 대수층 깊이에 대하여 분석하였다. 여러 공간매개변수 중 침투능과 관계가 깊은 대수층 깊이에 대해 가장 적합한 매개변수 값을 도출해 내는 것이 본 연구의 최종 목적이라고 할 수 있으며, 분석은 국내 자연하천 유역을 대상으로 분포형 유역 모형에 일반적인 수준으로 적용할수 있는 범위를 검토하였다. 본 연구를 통하여 분포형 유역 모형에서 하나의 매개변수인 대수층 깊이의 정량화에 기여되기를 바란다.

• Journal of Wetlands Research
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• v.14 no.1
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• pp.75-87
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• 2012

Hyporheic zone is a region beneath and alongside a stream, river, or lake bed, where there is mixing of shallow groundwater and surfacewater. Hyporheic exchange controls a variety of physical, biogeochemical and thermal processes, and provides unique ecotones in a aquatic ecosystem. Field and experimental observations, and modeling studies indicate that hyporheic exchange is mainly in response to pressure gradients driven by the geomorphological features of stream beds. In the reach scale of a stream, pool-riffle structures dominate the exchange patterns. Flow over a pool-riffle sequence develops recirculation zones and stagnation points, and this flow structures make irregular pressure gradient which is driving force of the hyporheic exchange. In this study, 3 D hydro-dynamic model solves the Reynolds-averaged Navier-Stokes equations for the surface water and Darcy's Law and the continuity equation for ground water. The two sets of equations are coupled via the pressure distribution along the interface. Simulation results show that recirculation zones and stagnation points in the pool-riffle structures dominantly control the upwelling and downwelling patterns. With decrease of recirculation zones, length of donwelling zone formed in front of riffles is reduced and position of maximum downwelling point moves downward. The numerical simulation could successfully predict the behavior of hyporheic exchange and contribute the field study, river management and restoration.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.39 no.1
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• pp.29-40
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• 2021

Risk factors that threaten public safety such as crime, fire, and traffic accidents have spatial characteristics. Since each region has different dangerous environments, it is necessary to analyze the spatial pattern of risk factors for each sector such as traffic accident, fire, crime, and living safety. The purpose of this study is to analyze the spatial distribution pattern of local safety level index, which act as an index that rates the safety level of each sector (traffic accident, fire, crime, living safety, suicide, and infectious disease) for basic local governments across the nation. The following analysis tools were used to analyze the spatial autocorrelation of local safety level index : Global Moran's I, Local Moran's I, and Getis-Ord's G⁎i. The result of the analysis shows that the distribution of safety level on traffic accidents, fire, and suicide tends to be more clustered spatially compared to the safety level on crime, living safety, and infectious disease. As a result of analyzing significant spatial correlations between different regions, it was found that the Seoul metropolitan areas are relatively safe compared to other cities based on the integrated index of local safety. In addition, hot spot analysis using statistical values from Getis-Ord's G⁎i derived three hot spots(Samchuck, Cheongsong-gun, and Gimje) in which safety-vulnerable areas are clustered and 15 cold spots which are clusters of areas with high safety levels. These research findings can be used as basic data when the government is making policies to improve the safety level by identifying the spatial distribution and the spatial pattern in areas with vulnerable safety levels.