• Journal of Korean Society of Forest Science
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• v.99 no.4
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• pp.559-567
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• 2010

This study was conducted to investigate the hydrological characteristics of groundwater level change and rainfall hydrological runoff processes caused by tunnel construction at Milbot bog located in Mt. Cheonseong. Data were collected from July 2004 to May 2008. The results were summarized as follows: The occurrence time of the direct runoff caused by unit rainfall at the Milbot bog were tended to be slower than those at general mountainous basin. Also, runoff did not sensitively respond to amount of rainfall at the most of the long and short term hydrograph. The annual runoff rates from 2004 to 2008 were 0.26, 0.13, 0.16, 0.25 and 0.27, respectively, slightly increased after 2005 regardless of the tunnel construction. Thus, the function of Milbot bog will be weakened, and it supposed to be changed to land in the future because of increasing annual runoff. The annual runoff rate for 4 years was 0.19, which is greatly lower than that of general mountainous basin. The recession coefficient of the direct runoff in short term hydrograph was ranged to 0.89~0.97, which is much larger than that of the general mountainous basin, 0.2~0.8. The recession coefficient of base flow ranged from 0.93 to 0.99, which are similar to general mountainous watershed's values. Groundwater level of Milbot bog increased or decreased in proportion to rainfall intensity, and in the descending time after the groundwater level was reached at peak point, it tends to be decreased very slowly. Also, groundwater level increased or decreased maintaining relatively high value after precedent rainfall. Groundwater level was highest during summer with heavy rainfall, but was lowest during winter. Average groundwater levels decreased annually from 2004 to 2008, -8.48 cm, -14.60 cm, -20.46 cm, -20.11 cm, -28.59 cm, respectively. Therefore, it seems that the Milbot bog is becoming dry and losing its function as a bog.

• Journal of Korea Water Resources Association
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• v.40 no.6 s.179
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• pp.431-446
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• 2007

Groundwater flow in a basin is greatly affected by many hydrogeological and hydrological characteristics of the basin. A groundwater flow model for the Kap-cheon basin ($area=648.3km^2$) in the Geum river basin was established using MODFLOW by fully considering major features obtained from observed data of 438 wells and 24 streams. Furthermore, spatial groundwater recharge distribution was estimated employing accurately calibrated watershed model developed using SWAT, a physically semi-distributed hydrological model. Model calibration using observed groundwater head data at 86 observation wells yielded the deterministic coefficient of 0.99 and the water budget discrepancy of 0.57%, indicating that the model well represented the regional groundwater flow in the Kap-cheon basin. Model simulation results showed that groundwater flow in the basin was strongly influenced by such factors as topological features, aquifer characteristics and streams. The streams in mountainous areas were found to alternate gaining and losing steams, while the streams in the vicinity of the mid-stream and down-stream, especially near the junction of Kap-cheon and Yudeong-cheon, areas were mostly appeared as gaining streams. Analysis of water budget showed that streams in mountainous areas except for the mid-stream and up-stream of Yudeong-cheon were mostly fed by groundwater recharge while the streams in the mid and down-stream areas were supplied from groundwater inflows from adjacent sub-basins. Hence, it was concluded that the interactions between surface water-groundwater in the Kap-cheon basin would be strongly inter-connected with not only streams but also groundwater flow system itself.

• Journal of The Geomorphological Association of Korea
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• v.25 no.3
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• pp.1-18
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• 2018

In Korea, 64% of the land is known as mountain area, but the definition and classification standard of mountain are not clear. Demand for utilization and development of mountain area is increasing. In this situation, the unclear definition and scope of the mountain area can lead to the destruction of the mountain and the increase of disasters due to indiscreet permission of forestland use conversion. Therefore, this study analyzed the variables and criteria that can extract the mountain boundaries through the questionnaire survey and the terrain analysis. We developed a mountain boundary extraction algorithm that can classify topographic mountain by using selected variables. As a result, 72.1% of the total land was analyzed as mountain area. For the three catchment areas with different mountain area ratio, we compared the results with the existing data such as forestland map and cadastral map. We confirmed the differences in boundary and distribution of mountain. In a catchment area with predominantly mountainous area, the algorithmbased mountain classification results were judged to be wider than the mountain or forest of the two maps. On the other hand, in the basin where the non-mountainous region predominated, algorithm-based results yielded a lower mountain area ratio than the other two maps. In the two maps, we was able to confirm the distribution of fragmented mountains. However, these areas were classified as non-mountain areas in algorithm-based results. We concluded that this result occurred because of the algorithm, so it is necessary to refine and elaborate the algorithm afterward. Nevertheless, this algorithm can analyze the topographic variables and the optimal value by watershed that can distinguish the mountain area. The results of this study are significant in that the mountain boundaries were extracted considering the characteristics of different mountain topography by region. This study will help establish policies for stable mountain management.

• Journal of Korean Society of Forest Science
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• v.112 no.3
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• pp.340-351
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• 2023

Landslides are major natural geological hazards that cause enormous property damage and human casualties annually. The vulnerability of mountainous areas to landslides is further exacerbated by the impacts of climate change. Soil depth is a crucial parameter in landslide and debris flow analysis, and plays an important role in the evaluation of watershed hydrological processes that affect slope stability. An accurate method of estimating soil depth is to directly investigate the soil strata in the field. However, this requires significant amounts of time and money; thus, numerous models for predicting soil depth have been proposed. However, they still have limitations in terms of practicality and accuracy. In this study, 71 seismic survey results were collected from domestic mountainous areas to estimate soil depth on hill slopes. Soil depth was estimated on the basis of a shear wave velocity of 700 m/s, and a database was established for slope angle, elevation, and soil depth. Consequently, the statistical characteristics of soil depth were analyzed, and the correlations between slope angle and soil depth, and between elevation and soil depth were investigated. Moreover, various soil depth prediction models based on slope angle were investigated, and corrected linear and exponential soil depth prediction models were proposed.

• Journal of Korea Water Resources Association
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• v.53 no.5
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• pp.337-345
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• 2020

In order to provide information for proper management of groundwater resources, an analysis of the effects of precipitation and groundwater withdrawal on groundwater levels is needed. In this study, we analyzed the correlation of precipitation-groundwater level and groundwater withdrawal-groundwater level using time series data converted by normalized standard deviation (Nor.St.Dev) and cross correlation coefficient (CCC) for nine groundwater monitoring wells in the middle mountainous area in the southeastern Jeju Island. First, the CCCs of precipitation-groundwater level were estimated using daily time series data, and the low CCCs of up to 0.3 were obtained. However, the result of using the Nor.St.Dev showed a clearer correlation by obtaining a CCC of up to 0.8. In addition, in most cases, precipitation variability and groundwater level variability had positive CCCs, whereas groundwater withdrawal variability and groundwater level variability had negative CCCs. Therefore, the groundwater level in this study area was largely influenced by precipitation with little effect of groundwater withdrawal. Lastly, as a result of analyzing the relative effects of Seongpanak and Gyorae rainfall station on the groundwater level, the rainfall at the relatively downstream Gyorae rainfall station has more influence. The analysis method used in this study can be easily used for analyzing the effects of precipitation and groundwater withdrawal on groundwater level variability in other regions in the future.

• Korean Journal of Agricultural and Forest Meteorology
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• v.11 no.4
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• pp.151-161
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• 2009

Configuration of soil hydraulic property is an essential component to understand the hydrological processes at the hillslope scale. In this study, we investigated temporal variations in pore development and soil hydraulic properties during the period from March to October in 2008. Characteristics for macropore flow and hydraulic conductivity were measured at two hillslopes: one is the hillslope located at the Buprunsa in Sulmachun watershed, and the other is the hillslope located in Gwangneung Research Forest. Vertical fluxes through macropore were measured using a tension infiltrometer at the depth of surface. The saturated hydraulic conductivities in March, June, July and September were relatively high compared to those in May and October. Temporal variations in several soil hydraulic features could be explained by the differences in vegetation activity and soil moisture content determined by antecedent precipitation. Particularly, the features of macropores had a substantial impact on hydraulic conductivity in the forest hillslope. The temporal nonuniformity of the soil hydraulic properties observed in this study manifests the dynamic features of hydrological processes in the hillslope scale and the experimental results will be useful to understand the internal hydrological processes in the mountainous hillslope.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.1787-1791
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• 2009

지표수의 유출과정을 설명하는 과정에서 중요인자이며, 생태수문학의 핵심변수이자 기상모형의 중요한 입력변수인 토양수분의 공간적 시간적 특징들은 강우 및 지하수와 토양수분간의 순환 구조를 규명하는데 매우 중요하다. 가장 널리 쓰이는 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. 청미천 유역을 대상으로 약 21 개의 대상후보사면을 정밀조사 하였으며, 충청북도 음성군 수레의산 청소련 수련원내의 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. 대상사면 및 지하면에 대하여 표고수치지형모형(Digital Elevation Model:DEM)으로 도식한 후 흐름 발생 공간 분포를 계산하였다. 다양한 흐름 발생 알고리즘으로 기여사면적과 지형습윤지수를 계산하였다. 분배알고리즘의 의해 도출된 지형인자들로 인한 흐름발생 공간적 분포특성을 비교하여 센서의 매설 위치를 결정하였다. 센서 매설 위치에 대한 토양시료를 채취하여 토성을 분석한 결과는 미국 농무성 기준에 의한 분류로는 사양토로, 국제토양학회의 분류기준에 따르면 양토로 분류되었다. 대상사면의 유효입력강우를 확보하기위해서 개방공간인 수레의산 청소년수련원과 대상산림의 Canopy하부에 각각 강수측정 시스템을 설치하였고 약 6개월간 성공적으로 자료를 획득하였다.

• Proceedings of the Korea Water Resources Association Conference
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• 2011.05a
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• pp.25-25
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• 2011

우리나라는 국토의 60% 이상이 산지로 이루어져 있다. 최근 산지하천 유역에서 발생한 홍수와 토석류 등에 의해 많은 인적 물적 피해가 발생하고 있다. 현재 산지하천 유역은 유량자료에 비해 강우관측 자료는 비교적 많이 축적되어있으며, 최근에는 레이더를 이용한 강우관측도 지속적으로 이루어져 강우특성을 분석하는 것은 용이하다. 이에 비해서 산지하천 유역의 하천 유량에 대한 자료는 부족하거나 자료가 있더라도 결측치가 많고 보유연한이 분석에 필요한 만큼 충분하지 못하다. 또한 산지하천 유역의 유출특성을 분석하기 위해서는 강우관측 자료와 수위자료로부터 환산된 유량자료가 필수적인 인자이나 산지하천 유역의 수위관측소는 설치 및 유지관리 등의 어려움으로 인하여 유량자료가 상대적으로 부족한 실정이다. 이와 같은 제약을 해소하기 위해서는 많은 비용과 시간이 소요되므로 단 시간 내에 해결하는 것은 쉬운 일이 아니다. 따라서 유역의 물리적 특성을 이용하여 임의의 지점의 설계홍수량을 손쉽고, 정확하게 산정할 수 있다면 산지유역의 홍수와 토석류에 의해 발생하는 홍수 피해에 대한 대책을 마련하는데 큰 도움이 될 것이다. 일반적인 통계적 회귀분석은 여러 분야에서 널리 적용되고 있으나, 산지하천 유역의 강우-유출해석의 경우 관측자료의 수가 적고 발생하는 사상이 애매한 경우가 많아 일반적인 통계학적 선형 회귀분석을 적용하는 데 어려움이 많다. 이와 같은 어려움을 해결하기 위해 본 연구에서는 fuzzy regression 기법을 사용하였다. Fuzzy regression 기법의 하나인 possibilistic 모형을 사용하여 주어진 관측값과 산정값의 오차를 최소화함으로써 모형의 fuzziness를 최소화하였다. fuzzy regression 기법을 사용하면 변수들 간의 애매한 관계를 쉽게 해석하고 관측값과 산정값의 오차를 최소화하여 연구목적에 적합한 결과를 도출할 수 있다. 산지유역에서 발생하는 홍수는 많은 인명 및 재산피해뿐 아니라 사회 및 경제적 측면, 환경 및 생태계 그리고 인간의 정신적인 측면까지도 깊이 영향을 미친다. 따라서 본 연구에서 제안한 fuzzy regression 기법을 사용한 홍수량 산정기법을 통해 임의 지점의 빈도별 설계홍수량을 보다 신속하고 정확하게 산정하여 수공구조물의 설계에 적용하면 집중호우에 의해 발생하는 피해를 최소할 할 수 있을 것으로 기대된다.

• Journal of Korea Water Resources Association
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• v.31 no.2
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• pp.199-208
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• 1998

This study is on the application of TOPMDEL(Topographic based hydrologic model) Which is a distributed rainfall-runoff model to the flood runoff analysis. The test area was Wichun experimental catchment site which is mountainous mid-area (Dongok, 33.63$\textrm{km}^2$ and Goro, 109,725 $\textrm{km}^2$) and being operated by the Ministry of Construction and ransporation. A three-dimensional digital elevation model(DEM) map was constructed using a physiographic map(1/25,000) and GIS software, Arc/Info, was used to the analysis of geofraphic factors. The topographic index of Dongok and Goro subcatchment was similar. As a results of the analysis, the model was validated that the simulated peak flow of a flood runoff was fit to the observed data. For the analysis of the effects of grid size, Dongok subcatchment was divided into 100,120-,240 m grid and Goro subcatchment was divided into grid and 120,200,350 m grid. It was shown that the peak flow increased in proportion to the increases of the grid size, but peak times were constant regardless of the grid size in both of the watershed.

• Journal of the Korean Institute of Landscape Architecture
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• v.30 no.3
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• pp.73-85
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• 2002

The purpose of this study was to develop prediction models for plant species abundance by stream restoration. Generally the stream plant is affected by stream gemophology. So in this study, the relationship between the vegetation abundance and stream gemophology was developed by multiple regression analysis. The stream characteristics utilized in this study were longitudinal slope, transectional slope, micro-landforms through the longitudinal direction, riparian width and geometric mean diameter and biggest diameter of bed material, and cumulated coarse and fine sand weight portion. The Pyungchang River with mountainous watershed and the Kyungan stream and the Bokha stream in the agricultural region were selected and vegetation species abundance and stream characteristics were documented from the site at 2~3km intervals from the upper stream to the lower. The Models for predicting the vegetation abundance were developed by multiple regression analysis using SPSS statistics package. The linear relationship between the dependant(species abundance) and independant(stream characteristics) variables was tested by a graphical method. Longitudinal and transectional slope had a nonlinear relationship with species abundance. In the next step, the independance between the independant variables was tested and the correlation between independant and dependant variables was tested by the Pearson bivariate correlation test. The selected independant variables were transectional slope, riparian width, and cumulated fine sand weight portion. From the multiple regression analysis, the $R^2$for the Pyungchang river, Kyungan stream, Bokga stream were 0.651, 0.512 and 0.240 respectively. The natural stream configuration in the Pyungchang river had the best result and the lower $R^2$for Kyunan and Bokha stream were due to human impact which disturbed the natural ecosystem. The lowest $R^2$for the Bokha stream was due to the shifting sandy bed. If the stream bed is fugitive, the prediction model may not be valid. Using the multiple regression models, the vegetation abundance could be predicted with stream characteristics such as, transection slope, riaparian width, cumulated fine sand weigth portion, after stream restoration.