• Title/Summary/Keyword: Geoinformation management

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A study on the estimation and evaluation of ungauged reservoir inflow for local government's agricultural drought forecasting and warning (지자체 농업가뭄 예·경보를 위한 미계측 저수지의 유입량 추정 및 평가)

  • Choi, Jung-Ryel;Yoon, Hyeon-Cheol;Won, Chang-Hee;Lee, Byung-Hyun;Kim, Byung-Sik
    • Journal of Korea Water Resources Association
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    • v.54 no.6
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    • pp.395-405
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    • 2021
  • When issuing forecasts and alerts for agricultural drought, the relevant ministries only rely on the observation data from the reservoirs managed by the Korea Rural Community Corporation, which creates gaps between the drought analysis results at the local (si/gun) governments and the droughts actually experienced by local residents. Closing these gaps requires detailed local geoinformation on reservoirs, which in turn requires the information on reservoirs managed by local governments across Korea. However, installing water level and flow measurement equipment at all of the reservoirs would not be reasonable in terms of operation and cost effectiveness, and an alternate approach is required to efficiently generate information. In light of the above, this study validates and calibrates the parameters of the TANK model for reservoir basins, divided them into groups based on the characteristics of different basins, and applies the grouped parameters to unmeasured local government reservoirs to estimate and assess inflow. The findings show that the average determinant coefficient and the NSE of the group using rice paddies and inclinations are 0.63 and 0.62, respectively, indicating better results compared with the basin area and effective storage factors (determinant coefficient: 0.49, NSE: 0.47). The findings indicate the possibility of utilizing the information regarding unmeasured reservoirs managed by local governments.

A Study on the Possibility as a Site for Geopark in Korea: Byeonsanbando National Park (국내 지구공원 적지 가능성 연구: 변산반도 국립공원)

  • Heo, Chul-Ho
    • Journal of the Korean earth science society
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    • v.28 no.1
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    • pp.136-141
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    • 2007
  • The UNESCO`s earth science division has developed the geoparks program to recognize earth scientific heritage sites worldwide. To respond to this movement, I suggest Byeonsanbando National Park (BNP) as the first geopark in Korea and provide, at the same time, a line of evidence supporting the designation of geopark. BNP has the best qualifications with geological, geomorphological, ecological, and cultural resources. In Chaeseokgang and Jeokbyukgang, there are many geological and geomorphological resources attracting the scientific importance. In addition, BNP has a total of 844 species of wild plants and 550 species of wild animals. Cultural properties abound in BNP, including Koryo bronze bell of Naesosa and Taeungjon hall of Kaeamsa. To be designated a geopark by UNESCO, a management plan of geotourism will be required in addition to the geological, geomorphological, ecological and cultural resources, which should be prepared by the Korea National Parks Service and related local government authority. If the above-mentioned conditions are met completely, Korea would enter the global network of geoparks for the first time.

The Effects of Reactive Nitrogen (Nr) Compounds on the Acidification in Soil and Water Environment Ecosystems and the Mitigation Strategy (반응성 질소화합물로 인한 토양 및 물 환경 생태계의 산성화 영향 및 대응방안)

  • Cho, Youngil;Kang, Hyesoon;Jeon, Eui-Chan
    • Korean Journal of Ecology and Environment
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    • v.49 no.1
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    • pp.1-10
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    • 2016
  • The increases of industrial and technological development and human activities have disturbed the balance of natural nitrogen (N) circulation. These phenomena have induced that large amounts of N are to be present in excess in air, soil and water environment. We investigated the effects of excess of reactive nitrogen ($N_r$) compounds on soil and water environment ecosystems through literature and case studies, and suggested the strategy of mitigating the acidification in soil and water ecosystems. $N_r$ moves to air, soil and water media, can be converted to different types, and interacts with other chemical compounds. As an efficient N management plan, the evaluation (application of monitoring and safety index) and the chemical restoration (research and development) of the acidification in soil and water environment ecosystems are required to minimize the effects of $N_r$ as well as policies to regulate the various emission sources and amounts of $N_r$.

Turbid water atmospheric correction for GOCI: Modification of MUMM algorithm (GOCI영상의 탁한 해역 대기보정: MUMM 알고리즘 개선)

  • Lee, Boram;Ahn, Jae Hyun;Park, Young-Je;Kim, Sang-Wan
    • Korean Journal of Remote Sensing
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    • v.29 no.2
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    • pp.173-182
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    • 2013
  • The early Sea-viewing Wide Field-of-view Sensor(SeaWiFS) atmospheric correction algorithm which is the basis of the atmospheric correction algorithm for Geostationary Ocean Color Imager(GOCI) assumes that water-leaving radiances is negligible at near-infrared(NIR) wavelengths. For this reason, all of the satellite measured radiances at the NIR wavelengths are assigned to aerosol radiances. However that assumption would cause underestimation of water-leaving radiances if it were applied to turbid Case-2 waters. To overcome this problem, Management Unit of the North Sea Mathematical Models(MUMM) atmospheric correction algorithm has been developed for turbid waters. This MUMM algorithm introduces new parameter ${\alpha}$, representing the ratio of water-leaving reflectance at the NIR wavelengths. ${\alpha}$ is calculated by statistical method and is assumed to be constant throughout the study area. Using this algorithm, we can obtain comparatively accurate water-leaving radiances in the moderately turbid waters where the NIR water-leaving reflectance is less than approximately 0.01. However, this algorithm still underestimates the water-leaving radiances at the extremely turbid water since the ratio of water-leaving radiance at two NIR wavelengths, ${\alpha}$ is changed with concentration of suspended particles. In this study, we modified the MUMM algorithm to calculate appropriate value for ${\alpha}$ using an iterative technique. As a result, the accuracy of water-leaving reflectance has been significantly improved. Specifically, the results show that the Root Mean Square Error(RMSE) of the modified MUMM algorithm was 0.002 while that of the MUMM algorithm was 0.0048.

3D Cadastre Data Model in Korea ; based on case studies in Seoul

  • Park, So-Young;Lee, Ji-Yeong;Li, Hyo-Sang
    • Spatial Information Research
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    • v.17 no.4
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    • pp.469-481
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    • 2009
  • Due to the increasing demands on the efficient use of land and the fast growth of construction technologies, human living space is expanded from on the surface to above and under the surface. By recognizing that the current cadastre system based on 2D was not appropriate to reflect the trend, the researchers are interested in a 3D cadastre. This paper proposed the 3D cadastre data model that is appropriate to protect ownership effectively in Korea. The 3D cadastre data model consists of a 3D cadastre feature model and a 3D cadastre geometry model, and the data are produced by a 3D cadastre data structure. A 3D cadastre feature model is based on 3D rights and features derived from case studies. A 3D cadastre geometry model based on ISO19107 Spatial Schema is modified to be good for 3D cadastre in Korea. A 3D cadastre data structure consists of point, line, polygon and solid primitives. This study finally purposes 1) serving and managing land information effectively, 2) creating rights and displaying ranges about infrastructures above and under surface, 3) serving ubiquitous-based geoinformation, 4) adapting ubiquitous-based GIS to urban development, and 5) regulating relationships between rights of land and registration and management systems.

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3D Thermo-Spatial Modeling Using Drone Thermal Infrared Images (드론 열적외선 영상을 이용한 3차원 열공간 모델링)

  • Shin, Young Ha;Sohn, Kyung Wahn;Lim, SooBong;Lee, Dong-Cheon
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.39 no.4
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    • pp.223-233
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    • 2021
  • Systematic and continuous monitoring and management of the energy consumption of buildings are important for estimating building energy efficiency, and ultimately aim to cope with climate change and establish effective policies for environment, and energy supply and demand policies. Globally, buildings consume 36% of total energy and account for 39% of carbon dioxide emissions. The purpose of this study is to generate three-dimensional thermo-spatial building models with photogrammetric technique using drone TIR (Thermal Infrared) images to measure the temperature emitted from a building, that is essential for the building energy rating system. The aerial triangulation was performed with both optical and TIR images taken from the sensor mounted on the drone, and the accuracy of the models was analyzed. In addition, the thermo-spatial models of temperature distribution of the buildings in three-dimension were visualized. Although shape of the objects 3D building modeling is relatively inaccurate as the spatial and radiometric resolution of the TIR images are lower than that of optical images, TIR imagery could be used effectively to measure the thermal energy of the buildings based on spatial information. This paper could be meaningful to present extension of photogrammetry to various application. The energy consumption could be quantitatively estimated using the temperature emitted from the individual buildings that eventually would be uses as essential information for building energy efficiency rating system.

A Study on Analysis and Utilization of Public Sharing Bike Data - By applying the data of Ouling, Public Sharing Bike System in Sejong City (공유자전거 데이터 분석 및 활용방안 연구 세종특별자치시 공유자전거 어울링의 데이터를 적용하여)

  • An, Se-Yun;Ju, Hannah;Kim, So-Yeon;Jo, Min-Jun;Kim, Sungwhan
    • The Journal of the Korea Contents Association
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    • v.21 no.7
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    • pp.259-270
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    • 2021
  • Recently, interests in the use of Sharing Bike is increasing in consideration of eco-friendly transportation and safety from viruses. As the technology for collecting and storing data is improved with the development of ICTs, research on mobility using the Sharing Bike Data is also actively progressing. Therefore, this paper analyzes the properties of Sharing Bike Data and cases of researches on it through literature review, and based on the results of the review, data of Eoulling, the Sharing Bike System of Sejong City is analyzed as a way to utilize Sharing Bike Data. Most of the selected literature used structured data, and analyzed it through statistical methods or data mining. Through data analysis, it identified the current status, found out problems of the Sharing Bike System, proposed a solution to solve them, developed plans to activate the use of Sharing Bike. This provides basic data for efficient management and operation plans for Sharing Bike System. Ultimately, it will be possible to explore ways to improve mobility in urban spaces by utilizing Sharing Bike Data.