• Title/Summary/Keyword: geo-environmental

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Construction of Oil-Spill Warning System based on Remote Sensing/Numerical Model and Its Application to the Natural Resource Damage Assessment and Restoration System

  • Goto, Shintaro;Kim, Sang-Woo
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.243-248
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    • 1999
  • From the lessons after the Nakhodka oil-spill in Jan. 1997, oil slick detection by using remote sensing data and assimilating the data to the simulation program is important for monitoring the oil-drift pattern. For this object, we are going to construct the oil-spill warning system for estimating the oil-drift pattern using remotesensing/numerical simulation Model. Additionally we plan to use this system for restorating oil-spill damage domestically, such as estimating the ecological damage and making the priority fur restorating the oil-spilled shoreline. This report is intended to summarize the role of geo-informatics in the oil spill accident by not only paying attention to the effect of information provision/information management via the map, but also reporting the interim result in part based on the details discussed in the processes of recovery support and environmental impact assessment during the Nakhodka's accident.

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A Study on Public Relations Strategy and Program on Geo-Technology R&D Outcome (지질자원기술 연구개발성과에 대한 홍보 전략 및 방안 연구)

  • Kim, Chan-Souk;Kim, Seong-Yong;Lee, Jae-Rock
    • Economic and Environmental Geology
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    • v.40 no.6
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    • pp.797-804
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    • 2007
  • This study was carried out to analyze public recognition of geo-technology and its outcome. On the basis of the study, the task of PR/communication to promote status of geo-technology and the PR program by stage(SMTCR) for strategy of geo-technology outcome were suggested as follows; operation of PR committee and plus-one appraisal system on a sender scope, media caravan tour and opinion editorial for geo-technology on a message scope, geoscience award and active use of "the year of earth science" on a tool and channel scopes, and regular measurement of public response and regular appraisal of PR goal/results on a receiver scope.

Rainfall-Runoff Analysis in the Whangryong River Basin Using HEC-HMS and HEC-GeoHMS (HEC-HMS, HEC-GeoHMS를 이용한 황룡강유역의 유출분석)

  • Kim, Chul;Park, Nam-Hee
    • Spatial Information Research
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    • v.10 no.2
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    • pp.275-287
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    • 2002
  • Rainfall-Runoff Analysis in Whangryong River Basin was made using HEC-HMS and HEC-GeoHMS. The Basin was divided into three sub-basins using HEC-CeoHMS and GIS. Then, GIS input data were derived from each sub-basins. SCS CN runoff-volume model, Snyder's UH direct-runoff model, exponential recession baseflow model and Muskingum routing model in HEC-HMS were used to simulate the runoff volume using selected rainfall event and the parameters were optimized. Peak flowrate calculated using optimized parameters was compared to the observed flowrate in the basin. The result proved to be good agreement with each other. Optimized parameters in this local basin can be used to calculate the peak flowrate in the future.

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A Study on Communication Programs of Geo-Technology R&D Outcome Using the SMTCR Model (SMTCR 모델을 이용한 지질자원기술 연구성과 커뮤니케이션 방안 연구)

  • Kim, Chan-Souk;Kim, Seong-Yong
    • Economic and Environmental Geology
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    • v.41 no.2
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    • pp.267-273
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    • 2008
  • This study was carried out to seek communication programs of geo-technology R&D outcome. For this, the following questions were set. 1) How much portion do KIGAM as the main body of geo-technology R&D among articles reported by major newspapers? 2) What are strength, weakness, opportunity, and threat factors of geo-technology R&D outcome from the communication view point? 3) What is the communication tasks and the communication ways for them? In conclusion, the communication programs of geo-technology R&D outcome using SMTCR(Sender-Message-Tool-Channel-Receiver) model were suggested.

Comparison of Flood Inundation Models using Topographic Feature (지형요소를 이용한 홍수범람해석 모형의 비교)

  • Moon, Changgeon;Lee, Jungsik;Cho, Sunggeun;Shin, Shachul
    • Journal of the Korean GEO-environmental Society
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    • v.15 no.1
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    • pp.69-77
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    • 2014
  • The objective of this study is to compare flood inundation models for small stream basin. HEC-RAS model was used for the analysis of one dimensional hydraulics and HEC-GeoRAS, Ras Mapper and RiverCAD models were applied for the flood inundation analysis in Gum Chung stream. Flood inundations are to simulate by flood inundation models using observed data and rainfall on each frequency and to compare with inundation area based on the flood plain maps. The results of this study are as follows; Area of flood inundations by HEC-GeoRAS model is similar to that of flood plain map and appears in order of RAS Mapper and RiverCAD model. Flood inundation area by RiverCAD model is to estimate lager than that of RAS Mapper and HEC-GeoRAS model in flood area on each frequency and the results show that they have a little difference in models of flood inundation analysis at small stream. Comparing the area of flood inundations by flood depth, the results of three models are relatively similar in flood depth as 2.0 m below, and RiverCAD model shows a significant difference in flood depth as 2.0 m or more.

Evaluation of Runoff Prediction from a Coniferous Forest Watersheds and Runoff Estimation under Various Cover Degree Scenarios using GeoWEPP Watershed Model (GeoWEPP을 이용한 침엽수림 지역 유출특성 예측 및 다양한 식생 피도에 따른 유출량 평가)

  • Choi, Jaewan;Shin, Min Hwan;Cheon, Se Uk;Shin, Dongseok;Lee, Sung Jun;Moon, Sun Jung;Ryu, Ji Cheol;Lim, Kyoung Jae
    • Journal of Korean Society on Water Environment
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    • v.27 no.4
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    • pp.425-432
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    • 2011
  • To control non-point source pollution at a watershed scale, rainfall-runoff characteristics from forest watersheds should be investigated since the forest is the dominant land use in Korea. Long-term monitoring would be an ideal method. However, computer models have been utilized due to limitations in cost and labor in performing long-term monitoring at the watersheds. In this study, the Geo-spatial interface to the Water Erosion Prediction Project (GeoWEPP) model was evaluated for its runoff prediction from a coniferous forest dominant watersheds. The $R^2$ and the NSE for calibrated result comparisons were 0.77 and 0.63, validated result comparisons were 0.92, 0.89, respectively. These comparisons indicated that the GeoWEPP model can be used in evaluating rainfall-runoff characteristics. To estimate runoff changes from a coniferous forest watershed with various cover degree scenarios, ten cover degree scenarios (10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%) were run using the calibrated GeoWEPP model. It was found that runoff increases with decrease in cover degree. Runoff volume was the highest ($206,218.66m^3$) at 10% cover degree, whereas the lowest ($134,074.58m^3$) at 100% cover degree due to changes in evapotranspiration under various cover degrees at the forest. As shown in this study, GeoWEPP model could be efficiently used to investigate runoff characteristics from the coniferous forest watershed and effects of various cover degree scenarios on runoff generation.

VS Prediction Model Using SPT-N Values and Soil Layers in South Korea (표준관입시험 및 시추공 정보를 이용한 국내 전단파속도 예측)

  • Heo, Gi-Seok;Kwak, Dong-Youp
    • Journal of the Korean Geotechnical Society
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    • v.38 no.8
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    • pp.53-66
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    • 2022
  • The national ground survey database (GeoInfo) distributes numerous ground survey data nationwide. Many standard penetration test results exist in this database; however, the number of shear wave velocity (VS) data is small. Hence, to use abundant standard penetration test-N values to predict VS, this study proposed a new empirical N-VS relationship model using GeoInfo data. The proposed N-VS model is a single equation regardless of geological layer types; the layer type only specifies the upper limit of VS. To validate the proposed model, residual analysis was performed using a test dataset that was not used for the model development. Therefore, this study's proposed model performed better than N-VS models from previous studies. Since the N-VS model in this study was developed using sufficient data from GeoInfo, we expect that it is the most applicable to GeoInfo dataset for VS prediction.