• 제목/요약/키워드: 지형공간정보

검색결과 1,490건 처리시간 0.025초

Road Facility DB Improvement Using DGPS Camera (DGPS 카메라를 활용한 도로시설물 DB 개선)

  • Lee, Je-Jung;Lee, Jong-Sin;Kim, Min-Gyu
    • Journal of the Korea Academia-Industrial cooperation Society
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    • 제14권2호
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    • pp.905-910
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    • 2013
  • Road facility has the high possibility of being damaged or destroyed due to continuous pass of the vehicles, overloaded vehicles, traffic accidents and so on and stormwater manhole, sewerage manhole that are installed on the road may cause the functional degradation in case of periodic pavement of the road. So management through establishing DB of road facility and efficient updating plan are required. Thus, this study used DGPS camera for efficient establishment and improvement of road facility DB. Applicability of DGPS camera could be suggested by satisfying the allowable accuracy required for establishing DB of road facility through the comparative analysis with the result of establishment of existing road facility DB and the process of DB establishment by existing total solution could be improved through process analysis. And the existing DB of road facility was improved so that the present conditions of surrounding topography and road facility can be grasped by developing the module that can add the images of road facility to digital map and Google Earth-based KML Builder. It is expected that road facility service that provides various information can be available if the spatial data of each local self-governing body and study of automation that utilizes DGPS camera images are accomplished hereafter.

Hydrologic Utilization of Radar-Derived Rainfall (I) Optimal Radar Rainfall Estimation (레이더 추정강우의 수문학적 활용 (I): 최적 레이더 강우 추정)

  • Bae Deg-Hyo;Kim Jin-Hoon;Yoon Seong-Sim
    • Journal of Korea Water Resources Association
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    • 제38권12호
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    • pp.1039-1049
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    • 2005
  • The objective of this study is to produce optimal radar-derived rainfall for hydrologic utilization. The ground clutter and beam blockage effects from Mt. Kwanak station (E.L 608m) are removed from radar reflectivities by POD analysis. The reflectivities are used to produce radar rainfall data in the form of rain rates (mm/h) by the application of the Marshall-Palmer reflectivity versus rainfall relationship. However, these radar-derived rainfall are underestimated in temporal and spatial scale compared with observed one, so it is necessary to hire a correction scheme based on the gauge-to-radar (G/R) statistical adjustment technique. The selected watershed for studying the real-time correction of radar-rainfall estimation is the Soyang dam site, which is located approximately 100km east of Kwanak radar station. The results indicate that adjusted radar rainfall with the gauge measurement have reasonal G/R ratio ranged on 0.95-1.32 and less uncertainty with that mean standard deviation of G/R ratio are decreased by $9-28\%$. Mean areal precipitation from adjusted radar rainfall are well agreed to the observed one on the Soyang River watershed. It is concluded that the real-time bias adjustment scheme is useful to estimate accurate basin-based radar rainfall for hydrologic application.

A Study on the Urban Climate Mapping Method Using GIS (GIS를 이용한 도시기후지도 제작방안 연구)

  • Choi, Byoung-Gil;Cho, Tae-In;Na, Young-Woo;Lee, Kwang-Won
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • 제29권2호
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    • pp.183-191
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    • 2011
  • The objective of this study is 10 investigate the method to produce urban climate map so as to cope with climate change and efficiently control greenhouse gas in the city by using GIS. To produce urban climate map by using GIS, statistical data and spatial data of greenhouse gases related to climate change were collected and analyzed and the correlation between the type of urban climatop and urban climate change was analyzed by establishing GIS framework data construction method to prepare urban climate map and preparing and analyzing urban climate map related to the demonstration area. It was found that exact greenhouse gases emission quantity and absorption quantity can be calculated for each type of urban climatop by preparing urban climate map and the temperature is high in residential area, commercial area and industrial area and the emission quantity per unit area is high in the traffic area and industrial area. It seems that the influence of climate change can be presented for urban development by suggesting urban climate change for type of urban climatop and they can be utilized to save energy in urban area and to establish greenhouse gases reducing policy.

A Study on Analysis of Landslide Disaster Area using Cellular Automata: An Application to Umyeonsan, Seocho-Gu, Seoul, Korea (셀룰러 오토마타를 이용한 산사태 재난지역 분석에 관한 연구 - 서울특별시 서초구 우면산을 대상으로-)

  • Yoon, Dong-Hyeon;Koh, Jun-Hwan
    • Spatial Information Research
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    • 제20권1호
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    • pp.9-18
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    • 2012
  • South Korea has many landslides caused by heavy rains during summer time recently and the landslides continue to cause damages in many places. These landslides occur repeatedly each year, and the frequency of landslides is expected to increase in the coming future due to dramatic global climate change. In Korea, 81.5% of the population is living in urban areas and about 1,055 million people are living in Seoul. In 2011, the landslide that occurred in Seocho-dong killed 18 people and about 9% of Seoul's area is under the same land conditions as Seocho-dong. Even the size of landslide occurred in a city is small, but it is more likely to cause a big disaster because of a greater population density in the city. So far, the effort has been made to identify landslide vulnerability and causes, but now, the new dem and arises for the prediction study about the areal extent of disaster area in case of landslides. In this study, the diffusion model of the landslide disaster area was established based on Cellular Automata(CA) to analyze the physical diffusion forms of landslide. This study compared the accuracy with the Seocho-dong landslide case, which occurred in July 2011, applying the SCIDDICA model and the CAESAR model. The SCIDDICA model involves the following variables, such as the movement rules and the topographical obstacles, and the CAESAR model is also applied to this process to simulate the changes of deposition and erosion.

Improving the Grading Indices for Land Suitability Assessment (토지적성평가 지표의 개선방안 연구 - 평가체계II를 중심으로 -)

  • Kim, In-Hyun;Oh, Kyu-Shik;Yang, Hee-Bum
    • Spatial Information Research
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    • 제17권2호
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    • pp.201-212
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    • 2009
  • As GIS analysis method began to be introduced in late 1980's, studies of land development applying the GIS also started to be proceeded in various fields. Since 2003, Land Suitability Assesment has been adopted in order to prevent national land from development thoughtless for the environment and to plan appropriate national land management in terms of green development. Land Suitability Assessment System II based on diverse GIS analysis method such as Contour Analysis, Overlay Analysis, Network Analysis was particularly adopted to draft plans of specifying and altering of exclusionary zoning as well as installing and maintaining of urban planning facilities. But there has been a lot of problem, like an inaccurate basic data and assessment indicators, unmatched threshold, and contradicted evaluation result between each evaluating systems. Even though it is suited to an evaluation criteria, grade distribution is applied to start at 20, and development-centered evaluation result is offered. Now, we observed how suitability values and grading were changed, ordering to change grade distribution system from $20{\sim}100$ to $0{\sim}100$. In result, it showed changes of grades in some parcels. And in case of suitability values, 87% of parcels decreased to minimum 1 point, maximum 70 points. It means that changing grade distribution system of assessment system II doesn't have only influence on suitability values and grading but it is also an empirical analysis because of considering both development and maintenance.

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Development of Real-time Underground Utilities Management System using Real-time Kinematics Systems and 3D Game Engines (RTK 시스템과 3차원 게임엔진을 이용한 실시간 지하 매설물 관리 시스템 개발)

  • Kim, Sung-Ho
    • The Journal of the Korea Contents Association
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    • 제11권8호
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    • pp.51-58
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    • 2011
  • This paper describes a development of system that enables the user to manage and display from 3D viewer after at real-time saves attribute informations in DBMS using RTK systems and 3D game engines. The 3-dimensional game engines for this system will be input a attribute values of underground utilities which is measured from RTK systems with wireless network. This system which sees does to make be a possibility of managing creation, elimination, modification for the underground utilities from 3-dimensional viewer. The coordinates about the underground utilities measures with GPS. The base reference point for RTK systems uses one in reference points which are measured in existing. GPS coordinates revised a reference point in standard. The 3-dimensional game engines are having the function which manages the underground utilities with 3-dimensions. The function is the same as wireless network of RTK systems, 3-dimensional display for terrain and underground utilities, input and registration for attribute of underground utilities, etc. The system which sees will be able to prevent the various accident which is caused by in the spatial location coordinate which underground utilities is inaccurate. And the system which sees is accurate is a possibility of managing and the application possibility is high very. Finally, this system could be applied very usefully from the point of view which starts a new town development.

A Personalized Music Recommendation System with a Time-weighted Clustering (시간 가중치와 가변형 K-means 기법을 이용한 개인화된 음악 추천 시스템)

  • Kim, Jae-Kwang;Yoon, Tae-Bok;Kim, Dong-Moon;Lee, Jee-Hyong
    • Journal of the Korean Institute of Intelligent Systems
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    • 제19권4호
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    • pp.504-510
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    • 2009
  • Recently, personalized-adaptive services became the center of interest in the world. However the services about music are not widely diffused out. That is because the analyzing of music information is more difficult than analyzing of text information. In this paper, we propose a music recommendation system which provides personalized services. The system keeps a user's listening list and analyzes it to select pieces of music similar to the user's preference. For analysis, the system extracts properties from the sound wave of music and the time when the user listens to music. Based on the properties, a piece of music is mapped into a point in the property space and the time is converted into the weight of the point. At this time, if we select and analyze the group which is selected by user frequently, we can understand user's taste. However, it is not easy to predict how many groups are formed. To solve this problem, we apply the K-means clustering algorithm to the weighted points. We modified the K-means algorithm so that the number of clusters is dynamically changed. This manner limits a diameter so that we can apply this algorithm effectively when we know the range of data. By this algorithm we can find the center of each group and recommend the similar music with the group. We also consider the time when music is released. When recommending, the system selects pieces of music which is close to and released contemporarily with the user's preference. We perform experiments with one hundred pieces of music. The result shows that our proposed algorithm is effective.

Mine Haulage System Design for Reopening of Yangyang Iron Mine using 3D Modelling (3차원 모델링을 이용한 재개광 양양철광의 운반시스템 설계)

  • Son, Youngjin;Kim, Jaedong
    • Tunnel and Underground Space
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    • 제22권6호
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    • pp.412-428
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    • 2012
  • To achieve mine development, a large amount of data concerned with the geological structure and the ore body had to be investigated and collected through geological survey, drilling and geophysical explorations. In most previous cases, however, the data were usually analyzed two dimensionally and those results showed some limits because of their 2D presentation. Those 2D maps such as geological plane sections or longitudinal sections cause lots of difficulties in understanding the complex geological structure or the feature of ore body in a spatial way. In this study, research area was set on the abandoned Yangyang iron mine in Korea and the Sugaeng ore body within the mine was selected as the research target to design a mine haulage system for reopening. A 3D mine model of this area was tried to be constructed using a 3D modelling software, GEMS. An accurate 3D model including the ore body, the geological structure, the old underground mine drifts and the new mine drifts was constructed under the purpose of reopening of the abandoned iron mine. Especially, mine design for trackless haulage system was conducted. New inclines and drifts were planned and modelled 3 dimensionally considering the utilization of old drifts and shaft. In addition to the 3D modelling, geostatistical technique was adopted to generate a spatial distribution of the ore grade and the rock physical properties. 3D model would be able to contribute in solving problems such as evaluating ore reserves, planning the mine development and additional explorations and changing the development plans, etc.

A Geospatial Evaluation of Potential Sea Effects on Observed Air Temperature (해안지대 기온에 미치는 바다효과의 공간분석)

  • Kim, Soo-Ock;Yun, Jin-I.;Chung, U-Ran;Hwang, Kyu-Hong
    • Korean Journal of Agricultural and Forest Meteorology
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    • 제12권4호
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    • pp.217-224
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    • 2010
  • This study was carried out to quantify potential effects of the surrounding ocean on the observed air temperature at coastal weather stations in the Korean Peninsula. Daily maximum and minimum temperature data for 2001-2009 were collected from 66 Korea Meteorological Administration (KMA) stations and the monthly averages were calculated for further analyses. Monthly data from 27 inland sites were used to generate a gridded temperature surface for the whole Peninsula based on an inverse distance weighting and the local temperature at the remaining 39 sites were estimated by recent techniques in geospatial climatology which are widely used in correction of small - scale climate controls like cold air drainage, urban heat island, topography as well as elevation. Deviations from the observed temperature were regarded as the 'apparent' sea effect and showed a quasi-logarithmic relationship with the distance of each site from the nearest coastline. Potential effects of the sea on daily temperature might exceed $6.0^{\circ}C$ cooling in summer and $6.5^{\circ}C$ warming in winter according to this relationship. We classified 25 sites within the 10 km distance from the nearest coastline into 'coastal sites' and the remaining 15 'fringe sites'. When the average deviations of the fringe sites ($0.5^{\circ}C$ for daily maximum and $1.0^{\circ}C$ for daily minimum temperature) were used as the 'noise' and subtracted from the 'apparent' sea effects of the coastal sites, maximum cooling effects of the sea were identified as $1.5^{\circ}C$ on the west coast and $3.0^{\circ}C$ on the east and the south coast in summer months. The warming effects of the sea in winter ranged from $1.0^{\circ}C$ on the west and $3.5^{\circ}C$ on the south and east coasts.

Inferring Regional Scale Surface Heat Flux around FK KoFlux Site: From One Point Tower Measurement to MM5 Mesoscale Model (FK KoFlux 관측지에서의 지역 규모 열 플럭스의 추정 : 타워 관측에서 MM5 중규모 모형까지)

  • Jinkyu Hong;Hee Choon Lee;Joon Kim;Baekjo Kim;Chonho Cho;Seongju Lee
    • Korean Journal of Agricultural and Forest Meteorology
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    • 제5권2호
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    • pp.138-149
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    • 2003
  • Korean regional network of tower flux sites, KoFlux, has been initiated to better understand $CO_2$, water and energy exchange between ecosystems and the atmosphere, and to contribute to regional, continental, and global observation networks such as FLUXNET and CEOP. Due to heterogeneous surface characteristics, most of KoFlux towers are located in non-ideal sites. In order to quantify carbon and energy exchange and to scale them up from plot scales to a region scale, applications of various methods combining measurement and modeling are needed. In an attempt to infer regional-scale flux, four methods (i.e., tower flux, convective boundary layer (CBL) budget method, MM5 mesoscale model, and NCAR/NCEP reanalysis data) were employed to estimate sensible heat flux representing different surface areas. Our preliminary results showed that (1) sensible heat flux from the tower in Haenam farmland revealed heterogeneous surface characteristics of the site; (2) sensible heat flux from CBL method was sensitive to the estimation of advection; and (3) MM5 mesoscale model produced regional fluxes that were comparable to tower fluxes. In view of the spatial heterogeneity of the site and inherent differences in spatial scale between the methods, however, the spatial representativeness of tower flux need to be quantified based on footprint climatology, geographic information system, and the patch scale analysis of satellite images of the study site.