• Title/Summary/Keyword: 토양함수정보

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Estimating soil moisture using machine learning approach: A Case Study to Yongdam watershed (기계학습 기반의 토양함수 예측 기법 개발 (용담댐 시험유역을 중심으로))

  • Huy, Nguyen Dinh;Kwon, Hyun-Han
    • Proceedings of the Korea Water Resources Association Conference
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    • 2018.05a
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    • pp.167-167
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    • 2018
  • 토양수분은 토양에 포함된 평균 수분량을 나타내며 수문 순환 관점에서 매우 중요한 수문변량 중 하나이다. 본 연구에서는 대표적인 기계학습 방법인 Support Vector Machine (SVM)을 이용한 토양 함수 예측 기법을 개발하고자 하며, 예측인자로서 원격 탐측 기반의 토양함수자료, 강수량, 온도 등을 활용하고자 한다. SVM은 Kernel 함수를 이용하여 복잡한 비선형 관계를 선형 가정을 통해서 해석하는 기계학습 방법으로서 전역모델(global model)로서 다양한 수문기상분야에 적용이 이루어지고 있다. SVM의 장점은 일정 부분의 오차를 허용함으로서 모형의 일반화 측면에서 기존 인공신경망(artificial neural network, ANN)에 비해 우수한 성능을 나타내며, 특히 예측모형으로서 적용성이 매우 크다. 본 연구에서는 과거 토양 함수 자료와 강수, 온도, 위성 관측 기반 정보 등을 이용하여 모형을 적합시키고 이를 미계측 유역으로 확장하는데 연구의 목적이 있으며, 본 연구를 통해 제안된 모형은 용담댐 시험유역을 대상으로 적용되며 기존 ANN 모형 및 다중회귀분석 결과와 비교를 통해 모형의 적합성을 평가하고자한다.

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Extraction of Soil Wetness Information and Application to Distribution-Type Rainfall-Runoff Model Utilizing Satellite Image Data and GIS (위성영상자료와 GIS를 활용한 토양함수정보 추출 및 분포형 강우-유출 모형 적용)

  • Lee, Jin-Duk;Lee, Jung-Sik;Hur, Chan-Hoe;Kim, Suk-Dong
    • Journal of Korean Society for Geospatial Information Science
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    • v.19 no.3
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    • pp.23-32
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    • 2011
  • This research uses a distributed model, Vflo which can devide subwater shed into square grids and interpret diverse topographic elements which are obtained through GIS processing. To use the distributed model, soil wetness information was extracted through Tasseled Cap transformation from LANDSAT 7 $ETM^+$ satellite data and then they were applied to each cell of the test area, unlike previous studies in which have applied average soil condition of river basin uniformly regardless of space-difference in subwater shed. As a resut of the research, it was ascertained the spatial change of soil wetness is suited to the distributed model in a subwater shed. In addition, we derived out a relation between soil wetness of image collection time and 10 days-preceded rainfall and improved the feasibility of weights obtained by the relation equation.

Analysis of the debris flow occurrence according to soil moisture conetnt in eaach soil layer based on predicted rainfall (예측 강우 기반의 토층별 토양수분 함량에 따른 토석류 발생 예측 분석)

  • Kim, Namgyun;Lee, Se On;Kim, Man-il
    • Proceedings of the Korea Water Resources Association Conference
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    • 2022.05a
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    • pp.278-278
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    • 2022
  • 2020년 집중호우로 인하여 우리나라 전국에 걸쳐 약 2,000여 곳의 산사태, 토석류가 발생하였고 약 1,217ha의 피해 면적이 발생하였다. 피해지역의 특히 생활권 중심의 사면과 계류의 관리 필요성이 높아지고 있다. 산림청 산사태정보시스템에서는 토양함수지수가 80% 도달 시 주의보, 100% 도달 시 경보를 발령하는 대국민 서비스를 제공하고 있다. 본 연구에서는 토층의 깊이에 따른 함수비 분포에 따라 토석류의 발생 가능성에 대한 분석을 수행하고자 하였으며, 토양함수는 기상 수치모델에 의한 예측 강우 자료를 활용하였다. 예측 강우 모델은 토석류가 주로 발생하는 여름철 집중호우 시기인 남서풍을 고려하여 도메인을 구성하였고 산림의 증발산 및 토양수분 모의 정확도 향상을 위해 임상도와 토지피복도를 사용하여 보정하였다. 토층내 토양수분의 함량은 토질에 따라 그 특성이 다르기 때문에 토질과 관련한 주제를 이용하여 토양정보를 활용하였다. 내부마찰각, 점착력, 단위중량, 밀도, 지질도, 지형경사, 표고, 유효토심에 대한 정보를 구축하여, 예측강우에 따라 토층의 수분 함량을 추정하여 붕괴 발생 가능성을 분석하였다. 2006년 평창지역에서 발생한 토석류에 대하여 수행하였으며 토층의 심도는 0.5~1m 범위의 분포에 대하여 체적함수에 따른 실제 토석류 발생에 대한 검증을 수행하였다.

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A Study on Estimation of Rainfall Erosivity Using Frequency Analysis for Hapcheon Gauging Station (빈도해석에 의한 합천관측소의 강우침식인자 산정 연구)

  • Ahn, Jung Min;Lee, Geun Suk;Lyu, Si Wan
    • 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.

A Development of Auto-Calibration for Initial Soil Condition in K-DRUM Model (K-DRUM 개선을 위한 초기토양함수 자동보정기법 개발)

  • Park, Jin-Hyeog;Hur, Young-Teck
    • Journal of Korean Society for Geospatial Information Science
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    • v.17 no.2
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    • pp.71-79
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    • 2009
  • In this study, a distributed rainfall-runoff model, K-DRUM, based on physical kinematic wave was developed to simulate temporal and spatial distribution of flood discharge considering grid rainfall and grid based GIS hydrological parameters. The developed model can simulate temporal and spatial distribution of surface flow and sub-surface flow during flood period, and input parameters of ASCII format as pre-process can be extracted using ArcView. Output results of ASCII format as post-process can be created to express distribution of discharge in the watershed using GIS and express discharge as animation using TecPlot. an auto calibration method for initial soil moisture conditions that have an effect on discharge in the physics based K-DRUM was additionally developed. The baseflow for Namgang Dam Watershed was analysed to review the applicability of the developed auto calibration method. The accuracy of discharge analysis for application of the method was evaluated using RMSE and NRMSE. Problems in running time and inaccuracy setting using the existing trial and error method were solved by applying an auto calibration method in setting initial soil moisture conditions of K-DRUM.

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Application of GIS Engine for Runoff Parameter Analysis (유출 매개변수 분석을 위한 GIS 엔진의 적용)

  • Kim, Sang-Ho;Choi, Keun-Ho;Kim, Seong-Joon
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2008.06a
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    • pp.101-108
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    • 2008
  • 본 연구의 목적은 분포형 추문모형에 있어 공간변수의 디테일함을 고려하기 위해 GIS와 결합된 SCS-CN 값 산정 모형을 개하는데 있다. 모형은 (주)한국공간정보통신의 GIS 소프트웨어 개발도구인 IntraMap/Objects를 사용하였고 마이크로소프트사의 닷넷 플랫폼 개발 언어인 C#으로 개발하였다. 모형의 입력자료인 토지이용도와 토양도의 지형학적 가공을 위해 클립(Clip), 디졸브(Dissolve), 인터섹션(Intersection)과 같은 지형전처리 모듈(GeoPreprocessing Module)을 개발하였다. 또한 전처리된 토지이용도(토지이용항목필드)와 토양도(추문학적 토양그룹필드)를 CN 값 기준도표에 매치시킴으로서 유역의 선행토양함수조건에 따른 분포형 CN 값 및 개략적인 유출량을 산정하는 모형을 개발하였다. 본 연구의 모형은 지형, 토양도 토지이용도, 토지피복도 변화에 따른 미래 유출량을 예측하는데 사용될 수 있을 것이다.

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Study on Electrical Resistivity Pattern of Soil Moisture Content with Model Experiments (토양의 함수율에 따른 전기비저항 반응 모형 실험 연구)

  • Ji, Yoonsoo;Oh, Seokhoon;Lee, Heui Soon
    • Geophysics and Geophysical Exploration
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    • v.16 no.2
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    • pp.79-90
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    • 2013
  • Geophysical investigation in non-destructive testing is economically less expensive than boring testing and providing geotechnical information over wide-area. But, it provides only limited geotechnical information, which is hardly used to the design. Accordingly, we performed electrical resistivity experiments on large scale of soil model to analyze the correlation between electrical resistivity response and soil water contents. The soils used in the experiments were the Jumunjin standard sand and weathered granite soil. Each soil particle size distribution and coefficient of uniformity of experimental material obtained in the experiments were maintained in a state of the homogeneous. The specifications of the model used in this study is $160{\times}100{\times}50$(cm) of acrylic, and each soil was maintained at the height 30 cm. The water content were measured using the 5TE sensors (water contents sensors) which is installed 7 ~ 8 cm apart vertically by plugging to floor. The results of the resistivity behavior pattern for Jumunjin standard sand was found to be sensitive to the water content, while the weathered granite soil was showing lower resistivity over the time, and there was no significant change in behavior pattern observed. So, it results that the Jumunjin standard sand's particle current conduction was better than the weathered granite soil's particle through contact with the distilled water. This lab test was also compared with the result of a test bed site composed of similar weathered soil. It was confirmed that these experiments were underlying research of non-destructive investigation techniques to improve the accuracy to estimate the geotechnical parameter.

Evaluating the Influence of Post-Earthquake Rainfall on Landslide Susceptibility through Soil Physical Properties Changes (지진이후 강우의 산사태 발생 영향성 평가를 위한 토양물성값 변화 분석)

  • Junpyo Seo;Song Eu;KiHwan Lee;Giha Lee;Sewook Oh
    • Journal of the Society of Disaster Information
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    • v.20 no.2
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    • pp.270-283
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    • 2024
  • Purpose: Considering the rising frequency of earthquakes in Korea, it is crucial to revise the rainfall thresholds for landslide triggering following earthquake events. This study was conducted to provide scientific justification and preliminary data for adjusting rainfall thresholds for landslide early warnings after earthquakes through soil physical experiments. Method: The study analyzed the change in soil shear strength by direct shear tests on disturbed and undisturbed samples collected from cut slopes. Also, The study analyzed the soil strength parameters of remolded soil samples subjected to drying and wetting conditions, focusing on the relationship between the degree of saturation after submergence and the strength parameters. Result: Compaction water content variation in direct shear tests showed that higher water content and saturation in disturbed samples led to a significant decrease in cohesion (over 50%) and a reduction in shear resistance angle (1~2°). Additionally, during the ring shear tests, the shear strength was observed to gradually decrease once water was supplied to the shear plane. The maximum shear strength decreased by approximately 65-75%, while the residual shear strength decreased by approximately 53-60%. Conclusion: Seismic activity amplifies landslide risk during subsequent rainfall, necessitating proactive mitigation strategies in earthquake-prone areas. This research is anticipated to provide scientific justification and preliminary data for reducing the rainfall threshold for landslide initiation in earthquake-susceptible regions.

Soil Samples in 134Cs of the 604, 795 keV Spectrum Analysis (토양시료 속 134Cs의 604, 795 keV 에너지 스펙트럼 분석)

  • Jang, Eunsung
    • Journal of the Korean Society of Radiology
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    • v.8 no.7
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    • pp.443-447
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    • 2014
  • $^{134}Cs$ radioactive concentration among soil samples is difficult to classify due to the background impact on crust originated natural radioactive nuclide, and overlapping and interfering between peaks. The ways to identify true peaks in gamma-ray spectroscopy are as follows to reduce statistical fluctuation by smoothing based on the fact that the shapes of peak are mostly Gaussian, to inspect the levels of width and height of peaks, to add functions on low-energy trailing phenomena, or 4) to check the peaks after modifying Gaussian function itself. Therefore, it is considered that information and knowledge for spectrum analysis are necessary.

Characterization of Local Evapotranspiration Based on the Seasonal and Hydrometeorological Conditions (계절과 수문기상학적 조건에 따른 지역 증발산의 특성화)

  • Rim, Chang-Soo;Lee, Jong-Tae;Yoon, Sei-Uei
    • Water for future
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    • v.29 no.2
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    • pp.235-247
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    • 1996
  • Meteorological and soil water content data measured from semiarid watersheds of Lucky Hills and Kendall during the summer rainy and winter periods were used to study the interrelationships between the controlling variables of the evapotranspiration, and to evaluate the effects of variables on daily actual evapotranspiration (ET) estimation. Simple and multiple linear regression (MLR) analyses were employed to evaluate the order of importance of the meteorological and soil water factors involved. The information gained was used for MLR model development. Theavailable energy and vapor pressure deficit were found to be the important variables to estimate actual ET (AET) for both periods and at both watersheds. Therefore, the important variables of evapotranspiration process in these semiarid watersheds appear to be simply the components of energy term in available energy and aerodynamic term in vapor pressure deficit of Penman potential evapotranspiration (PET) equation.

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