• Proceedings of the Korea Water Resources Association Conference
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• 2019.05a
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• pp.30-30
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• 2019

본 연구는 지점별 연평균 강우침식인자 값을 2018년 호우사상을 포함한 최신자료로 업데이트하기 위한 것이다. 이를 위하여 기상자료개방포털의 QC 테스트를 통과한 강수량 자료를 2018년 자료까지 수집하여 입력데이터로 활용하였다. 본 연구에서는 국립농업과학원에서 개발한 강우인자 계산기를 이용하여 지점별 연평균 강우침식인자 값을 재산정한 뒤, 기존 연구의 결과값과의 차이점을 비교 분석하였다. 산정된 지점별 강우침식인자 값을 바탕으로 강우침식인자의 공간분포 지도인 등강우침식도를 작성하였으며, 기존에 학계에 보고된 선행연구 결과의 등강우침식도와 비교하여, 강우침식인자의 지역별 분포의 최근 변화 양상을 분석하여 제시하였다.

• Journal of Korean Society for Geospatial Information Science
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• v.20 no.4
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• pp.19-27
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• 2012

RUSLE(Revised Universal Soil Loss Equation) has been widely used to estimate the soil loss amount of watersheds from rainfall erosivity, soil erodibility, topographic features and cropping management condition. Rainfall erosivity is the most dominant and sensitive factor among these so that the determination of reliable rainfall erosivity is essential to estimate the soil loss of watershed. Since there has been no criterion to determine the rainfall erosivity in Korea, the empirical values, determined from the relation between the annual average rainfall and erosivity or suggested by TBR(Transport Research Board), have been used for designing the erosion control structure and controlling the soil erosion for watersheds. In this study, the procedure for estimating the rainfall erosivity using frequency analysis is proposed. The most fitted distribution function, with calculated rainfall erosivities with various frequencies and durations, has been also selected. The suggested procedure can be used to estimate the optimal value of rainfall erosivity for RUSLE in order to design soil erosion structures and control the soil erosion in watersheds effectively.

• Proceedings of the Korea Water Resources Association Conference
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• 2010.05a
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• pp.2032-2037
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• 2010

충청남도 서해안은 생태환경의 보고로서 갯벌, 사구, 해안습지 등 독특한 자연적 특성을 갖고 있는 지역이다. 그러나 다른 지역에 비해 대규모 간척 및 매립으로 인한 해양생태계 피해에 현저히 노출되어 있으며, 서해안 지역은 최근 산업화 및 관광권화가 진행되며 무분별하게 설치된 호안구조물은 그 기능을 상실하여 상당수가 설치전보다 오히려 서해안의 독특한 환경성과 관광성을 악화시키고 있어 서해안 특성을 고려한 대책이 요구된다. 본 연구에서는 서해안의 특성을 고려한 환경친화적 연안 호안구조물 리모델링을 위해 서해안의 침식특성에 대하여 분석하고자 한다. 분석 방법은 충청남도 서해안의 4개 시 군 29개 지점을 대상으로 1년여에 걸쳐 수행된 현장조사 결과를 바탕으로 서해안의 침식 현황을 파악하고, 기 조사된 서해안 지역의 침식에 대한 자료를 바탕으로 침식원인을 유형화하였다. 조사 분석결과 서해안의 대표적인 침식유형은 직립 급경사 호안구조물의 반사파로 인한 해빈침식(자갈화), 사구 토사포락, 직립 급경사 호안구조물 저면 세굴에 의한 호안구조물 붕괴, 방파제 설치에 의한 침식 등 대표적인 4가지 유형으로 분류할 수 있으며, 침식 유형별 발생지점 수는 총 29개 지점 중 각각 19개 지점, 13개 지점, 5개 지점, 4개 지점에서 나타났다. 이는 호안구조물이 미설치된 곳은 사구 토사포락에 의한 침식 발생빈도가 높았고, 반면에 호안구조물이 설치된 곳에서는 호안구조물의 기능 상실로 인한 해빈침식의 발생빈도가 높은 것으로 나타났다. 또한 조사지점으로 선정하였던 29개 모든 지점에서 토사유실로 인한 자갈화가 진행되어 서해안의 갯벌, 사구, 해안습지 등이 유실되고 있는 것으로 나타났으며, 이는 최근 기후변화에 따른 해수면 상승과 서해안 특성을 고려하지 않은 정형화된 직립 급경사 호안구조물의 역효과로 피해가 발생된 것으로 나타났다.

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.295-295
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• 2020

산 경사면에서 발생한 토석류는 지형변화에 큰 영향을 미치는 대표적인 자연재해 중 하나다. 특히, 도심지역에서 발생된 토석류는 유동 및 퇴적과정에서 막대한 재산피해와 인명피해를 야기할 수 있다. 이러한 토석류의 피해를 줄이기 위해 토석류의 유동과 피해규모 예측을 위한 여러 수치모형들이 선행연구들을 통해 소개된 바 있다. 최근엔 토석류의 유동과정 및 피해 규모에 큰 영향을 미치는 침식과 연행작용을 구현하기 위한 침식모형이 집중적으로 연구되어지고 있다. 하지만 국내에선 침식 및 연행작용을 구현해 분석하는 것은 아직 제한적인 실정이다. 이에 본 연구는 한국에서 개발된 수치모형으로 침식 및 연행작용을 구현할 수 있는 Deb2D 모형을 활용하여 다양한 침식모형을 적용하여 토석류의 유동을 분석하고 피해규모를 예측하고자 한다. Deb2D 모형은 2차원 수치해석 모형으로 적응형 격자를 기반으로 토석류를 구현하고 있으며 본 연구에선 유동학적 모형으론 Voellmy 모형을 선택하고, 침식모형으론 Sovilla, Frank 그리고 Medina 모형을 선택하여 연구를 진행했다. 2011년 우면산에서 발생한 일련의 산사태를 대상으로 토석류의 유동과 피해규모를 구현했으며 수치모형의 정확성 판단을 위해 현장 조사를 통해 얻어진 토석류의 피해 범위, 총퇴적량 그리고 특정 지점에서 관측된 최대 퇴적 높이 및 최대 속도를 비교자료로 활용했다. 특히, 연구지역의 토석류 발생 전·후 DEMs(Digital Elevation Models)을 통해 공간에 따른 침식 깊이 자료를 얻어, 이를 Deb2D 모형을 통해 분석된 결과와 비교·분석했다.

• Journal of Korea Water Resources Association
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• v.41 no.5
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• pp.473-482
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• 2008

The purpose of this study is to quantitatively estimate the erosional properties for cohesive sediment from Saemankeum artificial lake. A series of erosion tests were conducted with Chonbuk annular flume, which is the first one constructed in this country and verified with validities. Each erosion tests were conducted under a uniform bed condition but a different bed density respectively, and its critical shear stress for erosion(${\tau}_{ce}$) as well as the erosion rate coefficient (${\varepsilon}_M$) were determined quantitatively. Since the erosional properties of the cohesive sediments vary largely depending in the physico-chemical properties, such properties of Saemankeum sediments were also estimated and their effects on the erosional properties were analyzed. For Saemankeum sediments, it can be seen that ${\tau}_{ce}$ increases from $0.26N/m^2$ to $0.52N/m^2$ and ${\varepsilon}_M$ decreases exponentially from $14.28mg/cm^2\;hr$ to $6.02mg/cm^2\;hr$, as the bed density varies from $1.17g/cm^3$ to $1.34g/cm^3$. The erosional parameters of Saemankeum sediments are found to be remarkably different in quantity as compared with those for cohesive sediments from other sites. Particularly, ${\tau}_{ce}$ for Saemankeum sediments is known to be larger than that of Kunsan sediments but similar with that of Shihwa sediments, while ${\varepsilon}_M$ for Saemankeum sediments is shown to be smaller than that for Kunsan sediments.

• Journal of The Geomorphological Association of Korea
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• v.19 no.3
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• pp.71-82
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• 2012

This research was carried out to estimate annual erosion and retreat rates by using datum-point and to identify the characteristics and causes of seasonal variations of sea-cliff slope in Pado-ri, Taean-gun. In the result, the erosion and retreat rates of sea-cliff were increased from spring to summer. The rates were increased rapidly between August and October, caused by the effects of extreme weather events such as severe rainstorms and typhoons, etc. Since then, the erosion and retreat rates of sea-cliff were decreased gradually, but the rates were increased again in winter due to the storm surge and mechanical weathering resulting from the repeated freezing and thawing actions of bed rocks. The factors that affect erosion and retreat rates of sea-cliff include the number of days with antecedent participation and daily maximum wave height. In particular, it turned out that the erosion is accelerated by strong wave energy during storm surges and typhoons. The annual erosion and retreat rates of study area for the past two years(from May 2010 to May 2012) were approximately 44~60cm/yr in condition of differences in geomorphological and geological characteristics at each point. These erosion and retreat rates were found to be higher than results of previous researches. This is caused by coastal erosion forces strengthened by extreme weather events. The erosion and retreat process of sea-cliff in the study area is composed by denudation of onshore areas in addition to marine erosion(wave energy).

• Journal of The Geomorphological Association of Korea
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• v.20 no.3
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• pp.41-53
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• 2013

This research was carried out to classify erosion shapes and sea-cliff erosion rates were estimated through periodic field survey in Dundu-ri, Anmyeondo. Based on the results of field measurements using the datum-point, the annual sea-cliff erosion rate was estimated about 25~102cm/yr by point. The erosion rate gradually increases from spring to summer, but tends to decrease slightly in autumn. Specifically, the erosion rate between June and July indicated a rather decreasing trend, but showed a sharp increase between July and September. This was attributed to erosion that proceeds more rapidly than during other periods due to severe rainstorms in summer that had a direct impact on the study area as well as storm surges caused by hurricanes. Afterwards, the sea-cliff erosion rate gradually decreased in autumn, but reflected an increasing trend again from December to January. This was attributed to the mechanical weathering that actively progresses as bed rocks on the sea-cliff undergo repeated freezing and thawing in winter. The seacliff in Dundu-ri is divided into three types according to the erosion shape. First, Type A is observed in the sea-cliff composed of the same bed rocks and hard rock stratum. Second, Type B is found in the sea-cliff with a relatively gentler slope compared to Type A, since weathering material including soil is formed on the surface of the sea-cliff consisting of the same bed rocks and hard rock stratum. Lastly, Type C is observed in the sea-cliff where hard rock stratum is mixed with soft rock stratum. In this case, the soft rock stratum slumps and erodes first by precipitation and wave energy, followed by additional slumping of the exposed hard rock stratum.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.24 no.1
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• pp.89-97
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• 2006

Soil erosion has caused serious environmental problems which threaten the foundation of natural resources. In this paper, we chose RUSLE erosion model, which could be connected easily with GSIS and available generally in mid-scale watershed among soil erosion models, and extracted factors entered model by using GSIS spatial analysis method. First, this study used GIS database as soil map, DEM, land cover map and rainfall data of typhoon Memi (2003) to analyze soil loss amount of Dam basin. To analyze the changes of soil loss in considering basin characteristics as up-, mid- and downstream, this study calculated soil erodibility factor (K), topographic factors (LS), and cover management factor (C). As a result of analysis, K and LS factors of upstream showed much higher than those of downstream because of the high ratio of forest. But C factor of downstream showed much higher than that of upstream because of the high ratio of agricultural area. As a result of analysis of soil loss, unit soil loss of upstream is 4.3 times than soil loss of downstream. Therefore, the establishment of countermeasures for upstream is more efficient to reduce soil loss.

• Journal of Korea Water Resources Association
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• v.33 no.2
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• pp.237-245
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• 2000

Sihwa seadike is originally designed to control the water level In lake Sihwa. However the sluice gate is being operated everyday to preserve the water quality of lake. Due to the frequent operation of gates the bottom of drainage canal which is composed of weathered rock and soft rock is being scoured. Recently the bottom in the front area of apron was protected by putting underwater concrete. This study is carried out to understand the hydraulic situation for protection, and to estimate the trend of scouring by comparing between energy dissipation and registance of bottom rock. Annandale(1995) introduced the erodibility index theory, and suggested a criteria to judge the erodibility of rock through the relation between the erodibility index and energy dissipation. Determenation of erodibility index of rock is based on the results of sample core analysis, and the energy dissipation of flow is calculated from the estimation of total head on the scale model. These two values are plotted on the criteria, and the erodibility of rock is determined.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.19 no.1
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• pp.27-37
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• 2001

Soil erosion by outflow of water or rainfall has caused many environmental problems as declining agricultural productivity, damaging pasture and preventing flow of water. As the interest in environment is increasing lately, soil erosion is considered as a serious problem, whereas the systematic regulation and analysis for that have not established yet. This research shows the method of extracting factor entered model which expects soil erosion by GSIS. There are several erosion model such as ANSWER, WEPP, RUSLE. The research used RUSLE erosion model which could expect general soil erosion connected easily with GSIS data. RUSLE's input factors are composed of rainfall runoff factor(R). soil erodibility factor(K), slope length factor(L), slope steepness factor(S), cover management factor(C) and support practice factor(P). The general equation used to extract L, S factor on the RUSLE to be oriented for agricultural area has some limitation to apply whole watershed. So, on this study we used a revised empirical equation applicable to the watershed by grid on the GSIS. Also, we analyzed RUSLE factors by watershed being analyzed with watershed extraction algorithm. Then we could calculate the minimum, maximum. mean and standard deviation of RUSLE factors by watershed.