• Journal of Korean Society for Geospatial Information Science
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• v.18 no.3
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• pp.11-19
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• 2010

In recent years, Korea has witnessed an increase to natural disasters such as landslides due to localized sudden and intensive rainfalls. Thus there have been researches on surface displacements to detect and monitor displacements in the areas prone to landslides by using high-precision and density numerical elevation data from LiDAR, which is an advanced 3D measuring equipment. However, the commercial software to process large-capacity LiDAR data, is expensive and difficult to be applied to specialized tasks such as analysis of landslide. In addition, there are no measures for many users to easily access diverse spatial information related to landslides and put it to intuitive uses. Thus this study developed an application program to analyze landslides by processing time series LiDAR data and intuitively serve many users with information about the topography and landslides of given areas. It analyzed the current state of landslides in the subject region through case study and proposed that 3D-based landslide and topography information can be served intuitively.

• 한국신재생에너지학회:학술대회논문집
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• 2009.06a
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• pp.695-697
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• 2009

지구온난화로 인한 기후변화 등의 문제점들이 국제적인 이슈화되면서 온실가스의 효과적인 처리에 많은 관심이 집중되고 있다. 절연제로 주로 사용되고 있는 $SF_6$는 이산화탄소의 23,900배의 지구온난화지수를 가지는 온실가스이다. 본 연구에서는 이 물질의 효과적인 분리/회수를 위하여 가스 하이드레이트 형성을 이용한 방법을 제안하였다. 하이드레이트 형성법을 이용할 경우 공정이 단순하고 저압에서 분리가 가능하므로 타 분리공정과의 경쟁이 가능할 것으로 예상된다. 본 실험은 275-290 K의 온도범위와 3 - 30 bar의 압력범위에서 질소 + $SF_6$ (10, 30, 50, 70%)의 혼합기체를 사용하여 각 조성에 따른 하이드레이트(H)-물($L_W$)-기상(V)의 3상 평형점을 측정하였다. 또한, 고체의 하이드레이트 내부에 포집된 혼합기체의 조성과 포집되지 않은 기상의 조성을 GC를 이용하여 분석함으로써 하이드레이트 형성을 이용한 공정에서의 기체분리효율을 파악할 수 있었다. 질소의 가스 하이드레이트 평형 압력에 비해 SF6의 평형압력이 현저히 낮았으며, 혼합기체의 $SF_6$의 조성이 증가할수록 순수한 SF6의 3상 평형점에 근접하는 것을 볼 수 있었다. 이는 하이드레이트 형성을 이용한 기체 분리 공정을 이용하여 고농도의 $SF_6$를 분리해 낼 수 있음을 나타내어 주며 이 결과는 GC분석을 통하여 확인하였다. 본 실험에서 얻어진 결과는 하이드레이트를 이용한 $SF_6$ 분리 공정의 중요한 기초 자료가 되며 다른 혼합 기체의 분리 공정에도 응용될 수 있을 것이다.

• Journal of Korea Water Resources Association
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• v.33 no.5
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• pp.623-634
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• 2000

This study describes results of numerical simulations on river flow response due to global warming. Forecasts of changes in climatic conditions are required to estimate the hydrologic effects of increasing trace gas concentrations in the atmosphere. However, reliable forecasts of regional climate change are unavailable. In there absence, various approaches to the development of scenarios of future climatic conditions are used. The approach in this study is to prescribe climatic changes for a river basin in a simplified manner. As a rule, such scenarios specify air temperature increases from $0^{\circ}C\;to\;4.0^{\circ}C$ and precipitation change (increase or decrease) in the range of 0% to 15%. On the basis of acceptable supposition of warming scenarios. future daily streamflow is simulated using rainfall-runoff model in the Andong Dam basin. The numerical experiments have quantitatively revealed the change of discharge at 2010, 2020, 2030 and 2050 for each warming scenarios and compared it with the results for a non-warmmg scenano.cenano.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.1
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• pp.81-88
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• 2010

The analysis and synthesis of various types of hydrologic variables such as precipitation, surface runoff, and discharge are usually required in planning and management of water resources. These hydrologic variables are mostly represented using stochastic models. One of which is the autoregressive model, that gives promising results in time series modeling. This study is an application of this model, which aimed to determine the AR model that best represents the historical monthly streamflow of the two gauging stations, namely Andong Dam and Imha Dam, both located in the upper Nakdong River Basin. AR(3) model was found to be the best model for both gauging stations. Parameters of the determined order of AR model ($\phi_1$, $\phi_2$ and $\phi_3$) were also estimated. Using several diagnostic tests, the efficiency of the determined AR(3) model was tested. These tests indicated the accuracy of the determined AR(3) model.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.6
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• pp.13-20
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• 2018

Universal Soil Loss Equation (USLE) has been widely used to estimate potential soil loss because USLE is a simple and reliable method. The rainfall erosivity factor (R factor) explains rainfall characteristics. R factors, cited in the Bulletin on the Survey of the Erosion of Topsoil of the Ministry of Environment in the Republic of Korea, are too outdated to represent current rainfall patterns in the Republic of Korea. Rainfall datasets at one minute intervals from 2013 to 2017 were collected from fifty rainfall gauge stations to update R factors considering current rainfall condition. The updated R factors in this study were compared to the previous R factors which were calculated using the data from 1973 to 1996. The coefficient of determination between the updated and the previous R factors shows 0.374, which means the correlation is not significant. Therefore, it was concluded that the previous R factors might not explain current rainfall conditions. The other remarkable result was that regression equations using annual rainfall data might be inappropriate to estimate reasonable R factors because the correlation between annual rainfall and the R factors was generally unsatisfy.

• Journal of The Korean Society of Agricultural Engineers
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• v.62 no.2
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• pp.39-52
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• 2020

A high quality, long-term, high-resolution precipitation dataset is an essential in climate analyses and global water cycles. Rainfall data from station observations are inadequate over many parts of the world, especially North Korea, due to non-existent observation networks, or limited reporting of gauge observations. As a result, satellite-based rainfall estimates have been used as an alternative as a supplement to station observations. The Climate Hazards Group Infrared Precipitation (CHIRP) and CHIRP combined with station observations (CHIRPS) are recently produced satellite-based rainfall products with relatively high spatial and temporal resolutions and global coverage. CHIRPS is a global precipitation product and is made available at daily to seasonal time scales with a spatial resolution of 0.05° and a 1981 to near real-time period of record. In this study, we analyze the applicability of CHIRPS data on the Korean Peninsula by supplementing the lack of precipitation data of North Korea. We compared the daily precipitation estimates from CHIRPS with 81 rain gauges across Korea using several statistical metrics in the long-term period of 1981-2017. To summarize the results, the CHIRPS product for the Korean Peninsula was shown an acceptable performance when it is used for hydrological applications based on monthly rainfall amounts. Overall, this study concludes that CHIRPS can be a valuable complement to gauge precipitation data for estimating precipitation and climate, hydrological application, for example, drought monitoring in this region.

• Journal of Korean Society of Environmental Engineers
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• v.33 no.7
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• pp.501-510
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• 2011

In this study, water pollution sources of 14 major tributaries of Han river and characteristics of water quality for each target streams were evaluated based on water quality data in 2007.1-2009.12 (14 data sets) using a statistical package, SPSS-17.0. Cluster analysis over time and space for each stream resulted in 4 groups for the spatial variations in which type and density of pollution sources in the basins showed the greatest impact on grouping. Moreover, cluster analysis for the time variation in which rainfall, temperature and eutrophication were shown to contribute to the clustering, produced 2 groups, from summer to fall (July-Oct.) and from winter to early summer (Nov.-June). Four factors were found as responsible for the data structure explaining 71-90% of the total variance of the data set depending on the streams and they were organic matter, nutrients, bacterial contamination. Factor analysis showed main factors (water pollutants) changed according to the season with different pattern for each stream. This study demonstrated that water quality of each stream could produce useful outcomes when factor and pollution source of basin were evaluated together.

• Journal of the Korean association of regional geographers
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• v.15 no.2
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• pp.204-214
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• 2009

The purpose of this paper is to elucidate the formation processes of Hwaeumneup in Cheonseong Mountain which was designated as Wetland Conservation Area in 2002, and to offer data essential to sustainable management of wetland. According to wetland core samples and carbon dating of humus, grassland of Hwaeumneup Wetland Reservation resulted from slash-and-burn agriculture in no reference with climatic changes of last glacial period. And Hwaeumneup is a alpine wetland that is formed as rain water over Cheonseong Mountain crest area infiltrates into bedrock, springs out along joint line below main ridge, and dampens gentle grassland. It needs to support dense vegetation of southwestern ridge of Wetland Reservation in order to sustain water volumn of Hwaeumneup wetland, and to keep from breakdown of block dam at downstream fringe of wetland. And it needs to measure and analyse micro-topography and hydrology changes in Hwaeumneup Wetland Reservation through periodic monitoring.

• Water for future
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• v.35 no.5
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• pp.31-43
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• 2002

This study describes results of numerical simulations on river flow response due to global warming. Forecasts of changes in climatic conditions are required to estimate the hydrologic effects of increasing trace gas concentratrions in the atmosphere. However, reliable forecasts of regional climate change are unavailable. In there absense various approaches to the development of scenarios of furture climatic conditions are used. The approach in this study is to prescribe climatic changes for a river basin in a simplified manner. As a rule, such scenarios apecify air temperature increases from $0^{\circ}C$ to $4.0^{\circ}C$ and precipitation change (increase or decrease) in the range of 0% to 15%. On the basis of acceptable supposition of warming scenarios, furute daily stream flow is simulated using rainfall-runoff model in the Andong Dam basin. The numerical experiments have quantitatively revealed the change of discharge at 2010, 2020, 2030 and 1050 for each warming scenarios and compared it with the results for a non-worming scenario.

• Proceedings of the Korea Water Resources Association Conference
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• 2008.05a
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• pp.1142-1146
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• 2008

토양수분은 지표수의 유출과정을 설명하는 과정에서 중요인자이며, 생태수문학의 핵심변수이자 기상모형의 결정적인 입력변수이다. 또한 토양수분의 공간적 시간적 특징들은 강우 및 지하수와 토양수분간의 순환 구조를 규명하는데 매우 중요하다. 본 연구에서는 산지사면의 토양수분을 체계적으로 측정하는데 필요한 시스템의 구축을 위한 기초조사 및 사전분석에 대한 연구를 수행하였다. 우수한 토양 수분 측정 장비인 TDR 장비 매설에 앞서 대상유역 선정에 대한 여러 가지 고려사항을 검토하고 수치지형 분석 등을 통한 사전분석을 실시하였다. 대상유역을 선정하기 위해서는 대상유역의 자료획득의 용이함, 지정학적, 시스템 운영적 측면에서의 가용성, 그리고 정밀측량 및 부수적요인 등 여러 요소의 고려가 요구된다. 본 연구에서는 경기도 파주시 적성면 설마리의 설마천 유역내 감악산 범륜사 우측 산지 사면을 측정대상 사면으로, 지정학적 위치, 식생분포, 지질구조 및 심도 등의 토양특성의 고려를 통해서 선정하였다. 또한 대상 사면에 흐름 발생 및 분포를 계산하기 위해서 대상사면의 지표 및 기반암 표고를 정밀 측량하였으며, 기반암 또는 풍화대까지의 깊이를 실측하여 지표면 및 지하면의 수치지형 모형을 구축하였다. 이를 대상사면 및 지하면에 대하여 표고수치지형모형(Digital Elevation Model:DEM)으로 도식한 후 흐름 발생 공간 분포를 계산하였다. 흐름발생공간분포예측은 단방향 알고리즘, 다방향 알고리즘, 흐름 분배 알고리즘 그리고 다중무한방향 알고리즘을 사용하여 지형인자인 기여사면적과 지형습윤지수를 계산하였다. 각 분배알고리즘의 의해 도출된 지형인자들로 인한 흐름발생 공간적 분포특성을 비교하였다. 이는 합리적인 토양수분 측정시스템을 구축하는데 중요한 의사결정 수단으로 판단된다.