• Title/Summary/Keyword: 단일유역

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Numerical Modeling for the Detection of Debris Flow Using Detailed Soil Map and GIS (정밀토양도와 GIS를 이용한 토석류 발생지역 예측 분석)

  • Kim, Pan Gu;Han, Kun Yeun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.37 no.1
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    • pp.43-59
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    • 2017
  • This study presents the prediction methodology of debris flow occurrence areas using the SINMAP model. Former studies used a single calibration region applying some of the soil test results to predict debris flow occurrence in SINMAP model, which couldn't subdivide the soil properties for the target areas. On the other hands, a multi-calibration region using a detailed soil map and soil strength parameters (c, ${\phi}$) for each soil series to make up for limitation of former studies is proposed. In this process, soils with soil erodibility factor (K) are classified into three types: 1) gravel and gravelly soil. 2) sand and sandy soil, and 3) silt and clay. In addition, T/R estimation method using mean elevation of target area instead of T/R method using actual occurrence time is suggested in this study. The suggested method is applied to Seobyeok-1 ri area, Bonghwa-gun where debris flow occurred. As a result of comparison between two T/R estimation method, both T/R estimations are almost equal. Therefore, the suggested methodologies in this study will contribute to set up the national-wide mitigation plan against debris flow occurrence.

Characteristics of Joint Systems and Their Relationship with Groundwater System in the Nakdong River Mid-basin (낙동강 중류 유역의 단열계 특성 및 지하수계와의 관련성)

  • Kim, Deuk-Ho;Lee, Jong-Hyun;Park, Kyu-Tae;Kim, Seong-Chang;Choi, Yu-Mi;Seo, Yu-Ri;Noh, Gyung-Myung;Hamm, Se-Yeong
    • The Journal of Engineering Geology
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    • v.18 no.4
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    • pp.483-492
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    • 2008
  • The characteristics of joint system (joint orientation and density) were studied for Cretaceous sedimentary rocks in the Nakdong River mid-basin (Haman-Gun, Changnyeong-Gun, and Uiryeong-Gun areas), and were related with faults, river system, and groundwater usage in the study area. The joint system was classified into JI ($N90^{\circ}-110^{\circ}E$), J2 ($N0^{\circ}-35^{\circ}E$), and J3 ($(N0^{\circ}-35^{\circ}W$), and was dominant along N-S and E-W directions. The N-S trending joint system is dominant in Haman Formation in the eastern and western parts of the study area, while the E-W trending joint system is prevalent in Chilgok Formation in the central part. The joint system may be associated with the faults located in the eastern and western parts in the study area which are elongated to NNE-SSW direction. Additionally, the joint density is higher along the Nakdong River, indicating close relationship between E-W trending joints and the river. Daily groundwater discharge versus joint density shows weak positive relationship, and specific capacity versus joint density appears negatively related. This indicates that groundwater occurrence does not greatly rely on joint density.

Development of suspended solid concentration measurement technique based on multi-spectral satellite imagery in Nakdong River using machine learning model (기계학습모형을 이용한 다분광 위성 영상 기반 낙동강 부유 물질 농도 계측 기법 개발)

  • Kwon, Siyoon;Seo, Il Won;Beak, Donghae
    • Journal of Korea Water Resources Association
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    • v.54 no.2
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    • pp.121-133
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    • 2021
  • Suspended Solids (SS) generated in rivers are mainly introduced from non-point pollutants or appear naturally in the water body, and are an important water quality factor that may cause long-term water pollution by being deposited. However, the conventional method of measuring the concentration of suspended solids is labor-intensive, and it is difficult to obtain a vast amount of data via point measurement. Therefore, in this study, a model for measuring the concentration of suspended solids based on remote sensing in the Nakdong River was developed using Sentinel-2 data that provides high-resolution multi-spectral satellite images. The proposed model considers the spectral bands and band ratios of various wavelength bands using a machine learning model, Support Vector Regression (SVR), to overcome the limitation of the existing remote sensing-based regression equations. The optimal combination of variables was derived using the Recursive Feature Elimination (RFE) and weight coefficients for each variable of SVR. The results show that the 705nm band belonging to the red-edge wavelength band was estimated as the most important spectral band, and the proposed SVR model produced the most accurate measurement compared with the previous regression equations. By using the RFE, the SVR model developed in this study reduces the variable dependence compared to the existing regression equations based on the single spectral band or band ratio and provides more accurate prediction of spatial distribution of suspended solids concentration.

CFD-based Fire Accident Impact Analysis in Clean Room for semiconductor PR Process (반도체 PR 공정의 클린룸내 CFD 기반 화재 사고 영향 분석)

  • Chun, Kwang-Su;Yi, Jinseok;Park, Myeongnam
    • Journal of the Korean Institute of Gas
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    • v.25 no.6
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    • pp.35-44
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    • 2021
  • The PR (Photo Resist) process in the semiconductor process is a process that uses a mixture of flammable substances. Due to the process equipment is installed in a clean room and when flammable substances leak, there is a high risk of suffocation, fire, and explosion. It is necessary to analyze the impact of accidents that may occur during operation and to evaluate whether the safety of workers can be guaranteed. In this study, the value of radiant heat and temperature change at the monitor point set up virtual inside the clean room was confirmed through CFD simulation of 10 leak and fire scenarios using the FLACS CFD - Fire Module. A fire that occurs inside a clean room transfers high radiant heat to the inter-story structure, but its scope is quite limited, and it is unlikely that it will collapse in a single fire accident. There was no scenario in which two stairs leading to the exit were exposed to high radiant heat at the same time due to a fire accident, therefore workers were able to escape in case of a fire. In addition, it was confirmed that the level of radiant heat and temperature rise rapidly decreased as they moved downstairs. According to the API 520 standard, workers exposed to 6.31 kW/m2 of radiant heat that workers can withstand for 30 seconds were confirmed that it was possible to sufficiently escape from the inside.

Development and application of integrated indicators for assessing the water resources performance of multi-purpose and water supply dams (댐 용수공급능력 안정성 평가를 위한 통합지표 개발 및 적용)

  • Sung, Jiyoung;Kang, Boosik;Kim, Bomi;Noh, Seongjin
    • Journal of Korea Water Resources Association
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    • v.55 no.9
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    • pp.687-700
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    • 2022
  • For comprehensively assessment the water resources performance of multi-purpose dams and water supply dams in South Korea, a methodology was proposed to utilize the durational reliability along with the integrated auxiliary indicators including resiliency, dimensionless vulnerability, water resource efficiency, specific inflow, and specific water supply. In addition, for the purpose of sustainable dam operation in the future, a plan to grade the water resources performance was presented to periodically evaluate the performance and determine the priority of each dam's structural or non-structural planning according to the evaluation results. As major results, in the case of Sumjingang Dam, the durational reliability was 99.0%, but the integrated auxiliary index was the lowest of 44 points, which was 5th grade. This means that despite the current high reliability, hydrological changes due to future climate change or regional change of water demand-supply balance can have significant impacts on the water resources performances. In contrast, the Chungju Dam with a durational reliability of 93.0%, which is below the average among all multi-purpose dams, shows the 76 points of the integrated auxiliary index, which is 3rd highest following the Soyanggang Dam and the Namgang Dam. Nevertheless, due to the size of the basin, the specific inflow is sufficiently high as 185%, so the actual performance could be evaluated relatively high. The water supply dams designed for a single purpose tend to be evaluated relatively high because they have a high proportion of industrial and municipal water supply and have enough room for the supply capacity.

A Study on Selection of Optimal Shelters according to Dam Break Scenario Based on Continuous Rainfall Event (연속호우사상기반의 댐 붕괴 시나리오에 따른 최적대피소 선정에 관한 연구)

  • Kim, Kyunghun;Lim, Jonghun;Kim, Hung Soo;Shin, Soeng Cheol
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.4
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    • pp.433-447
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    • 2023
  • There is a growing demand for the stability of existing dams due to abnormal climate and the aging of dams. Emergency Action Plans (EAPs) for reservoir or dam failure only consider a single rainfall event. Therefore, this study simulates dam failure caused by continuous rainfall events, and proposes the establishment of EAP by selecting the optimal shelters. We define a mega rainfall event scenario caused by continuous rainfall events with 500-year frequency in the Chungju Dam watershed and estimate the mega flood. The mega flood event scenario is divided into two cases: scenario A represents the flooding case caused by discharge release from a dam, while scenario B is the case of a dam break. As a result of flood inundation analysis, the flooded damage area by the scenario A is 50.06 km2 and the area by the scenario B is 6.1 times of scenario A (307.45 km2). We select optimal shelters for each administrative region in the city of Chungju, which has the highest inundation rate in the urban area. Seven shelter evaluation indicators from domestic and foreign shelter selection criteria are chosen, and Analytical Hierarchy Process (AHP) method is used to evaluate the alternatives. As a result of the optimal shelter selection, the six shelters are selected and five are schools. This study considers continuous rainfall events for inundation analysis and selection of optimal shelters. Also, the results of this study could be used as a reference for establishment of the EAP.

Species-specific Marker Development for Environmental DNA Assay of Endangered Bull-head Torrent Catfish, Liobagrus obesus (멸종위기어류 퉁사리의 환경 DNA 분석을 위한 종 특이 마커 개발)

  • Yun, Bong Han;Kim, Yong Hwi;Sung, Mu Sung;Han, Ho-Seop;Han, Jeong-Ho;Bang, In-Chul
    • Korean Journal of Ichthyology
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    • v.34 no.3
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    • pp.208-217
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    • 2022
  • We wanted to develop a real-time PCR assay capable of detecting Liobagrus obesus in environmental DNA (eDNA) extracted from freshwater samples using a pair of species-specific primers and probe for the endangered fish, L. obesus. The species-specific primers and probe were designed in consideration of single nucleotide polymorphisms between 65 species of freshwater fish living in the Republic of Korea within the cytochrome b (cytb) gene of mitochondrial DNA. The species-specific primers and probe, in the real-time PCR assay, showed high specificity as only the L. obesus genomic DNA (gDNA) was found to be positive in the specificity verification using 65 species gDNA of freshwater fish in the Republic of Korea. In addition, in the detection limit analysis using the serial dilution concentrations of L. obesus gDNA, it was found that it was possible to detect up to 0.2 pg, showing high sensitivity. Afterwards, using the species-specific primers and probe, real-time PCR assay was performed on freshwater samples obtained from 8 stations in the mid-upper basin of Geum River. As a result, the cytb gene of L. obesus was detected in total 5 stations including all 3 stations where this species was collected at the time of field survey. Therefore, the species-specific primers and probe developed in present study, and the real-time PCR assay using them, can accurately detect the cytb gene of L. obesus from eDNA samples, which can be utilized to monitor the existing habitats of this species and to discover potential new habitats.

Sludge reduction by Enzyme Pretreatment (효소 전처리를 통한 슬러지 저감)

  • 김정래;심상준;최수형;염익태
    • KSBB Journal
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    • v.19 no.2
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    • pp.93-97
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    • 2004
  • We investigate the effect of enzyme pretreatment using protease, carbohydrase, and lipase on improvement of sludge treatment efficiency by measuring SCOD and TCOD. The enzyme-pretreatment increases SCOD of excess sludge. In addition, the amount of sludge reduction during digestion, in terms of SCOD and TCOD, are enhanced by enzyme-pretreatment. Among pretense, carbohydrase, and lipase, pretense showed the best enhancement of the sludge treatment efficiency. Sludge digestion followed by ozone and enzyme treatments showed more effective sludge treatment when compared with ozone treatment alone. Therefore, we expect that enzyme pretreatment can be used as a useful tool for enhancing the sludge treatment efficiency.

Application of Machine Learning Algorithm and Remote-sensed Data to Estimate Forest Gross Primary Production at Multi-sites Level (산림 총일차생산량 예측의 공간적 확장을 위한 인공위성 자료와 기계학습 알고리즘의 활용)

  • Lee, Bora;Kim, Eunsook;Lim, Jong-Hwan;Kang, Minseok;Kim, Joon
    • Korean Journal of Remote Sensing
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    • v.35 no.6_2
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    • pp.1117-1132
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    • 2019
  • Forest covers 30% of the Earth's land area and plays an important role in global carbon flux through its ability to store much greater amounts of carbon than other terrestrial ecosystems. The Gross Primary Production (GPP) represents the productivity of forest ecosystems according to climate change and its effect on the phenology, health, and carbon cycle. In this study, we estimated the daily GPP for a forest ecosystem using remote-sensed data from Moderate Resolution Imaging Spectroradiometer (MODIS) and machine learning algorithms Support Vector Machine (SVM). MODIS products were employed to train the SVM model from 75% to 80% data of the total study period and validated using eddy covariance measurement (EC) data at the six flux tower sites. We also compare the GPP derived from EC and MODIS (MYD17). The MODIS products made use of two data sets: one for Processed MODIS that included calculated by combined products (e.g., Vapor Pressure Deficit), another one for Unprocessed MODIS that used MODIS products without any combined calculation. Statistical analyses, including Pearson correlation coefficient (R), mean squared error (MSE), and root mean square error (RMSE) were used to evaluate the outcomes of the model. In general, the SVM model trained by the Unprocessed MODIS (R = 0.77 - 0.94, p < 0.001) derived from the multi-sites outperformed those trained at a single-site (R = 0.75 - 0.95, p < 0.001). These results show better performance trained by the data including various events and suggest the possibility of using remote-sensed data without complex processes to estimate GPP such as non-stationary ecological processes.

Comparative Analysis of Environmental Ecological Flow Based on Habitat Suitability Index (HSI) in Miho stream of Geum river system (서식지적합도지수(HSI)에 따른 환경생태유량 비교 분석 : 미호천을 중심으로)

  • Lee, Jong Jin;Hur, Jun Wook
    • Ecology and Resilient Infrastructure
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    • v.9 no.1
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    • pp.68-76
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    • 2022
  • In this study, the Habitat Suitability Index (HSI) was calculated in the Miho stream of the Geum river system, and the environmental ecological flow by point was evaluated. Two points (St.3 and St.8) representing the up and downstream of Miho Stream were selected, in order to calculate the Habitat Suitability Index, the depth and velocity at point where each species is appeared were investigated. The Habitat Suitability Index (HSI) was calculated by the Washington Department of Fish and Wildlife (WDFW) method using the number collected by water depth and velocity section and the results of the flow rate survey. Two target species were selected in this study; dominant species and swimming species sensitive to flow. In the case of a single species of Zacco platypus, the water depth was 0.1 - 0.5 m and the velocity was 0.2 - 0.5 m/s. For species of swimming fish, the water depth was 0.2 - 0.5 m and the velocity was 0.2 - 0.5 m/s. The discharge-Weighted Useable Area (WUA) relationship curve and habitat suitability distribution were simulated at the Miho Stream points St.3 and St.8. At the upstream St.3 of Miho Stream, the optimal discharge was simulated as 4.0 m3/s for swimming fishes and 2.7 m3/s for Zacco platypus. At the downstream point of St.8, species of swimming fish were simulated as 8.8 m3/s and Zacco platypus was simulated as 7.6 m3/s. In both points, the optimal discharge of swimming fish was over estimated. This is a result that the Habitat Suitability Index for swimming fish requires a faster flow rate than the habitat conditions of the Zacco platypus. In the calculation of the minimum discharge, the discharge of Zacco platypus is smaller and is evaluated to provide more Weighted Useable Area. In the case of swimming fishes, narrow range of depth and velocity increases the required discharge and relatively decreases the Weighted Useable Area. Therefore, when calculating the Habitat Suitability Index for swimming fishes, it is more advantageous to calculate the index including the habitat of all fish species than to narrow the range.