• Proceedings of the Korea Water Resources Association Conference
• /
• 2016.05a
• /
• pp.284-284
• /
• 2016

최근 기후변화의 영향으로 재해의 빈도와 피해의 규모는 점점 커지고, 예측의 불확실성 또한 증가하고 있다. 이에 따라 기후변화와 관련된 자연재해에 대처하기 위한 다양한 연구들이 수행되어 왔지만, 대부분의 기후변화 관련 연구는 미래 강우량과 해수면 상승을 분리하여 각각의 인자들에 따른 재난영향을 평가하였다. 그러나 연안지역에서는 강우 증가로 인해 발생하는 재해와 해수면 상승으로 인한 재해 등 두 개 이상의 재해가 복합적으로 작용할 수 있으므로 이를 동시에 고려한 연구가 필요하다. 따라서 본 연구에서는 해수면의 영향을 직접적으로 받는 태화강 유역을 대상유역으로 선정 하였고, 기후변화에 따른 강우의 증가와 해수면 상승이 연안지역에 미치는 영향을 평가하였다. 이를 위해 유역의 토지피복도, 수치고도자료, 토양도, 해당 유역의 단면 등을 이용하여 수리 수문모형을 구성하였다. 기후변화에 따른 강우 증가량을 고려하여 시나리오별 유출량을 산정하였고, 산정된 유출량 및 기점수위를 경계조건으로 입력하여 기후변화 시나리오에 따른 해수면 상승을 고려한 홍수위를 산정하였다. 이를 통하여 산정된 홍수위와 하천설계기준 해설에서 제시하고 있는 제방 여유고를 비교 검토하였다. 결과적으로, 목표기간별로 현재상태보다 최대 25.5%까지 첨두유출량이 증가하였고, 해수면 상승으로 인한 홍수위 변화는 하구부근에서 기점을 기준으로 약 7.1km까지 영향을 미치는 것으로 확인되었다. 또한 여유고의 부족 구간을 검토한 결과, 전체 구간 40.17km 중 약 31.7km인 79.5%가 여유고를 만족하지 못하였고, 해수면 상승을 고려하지 않았을 경우에는 여유고를 만족하지 못하는 구간이 최대 3.8% 감소하였다. 연안지역의 기후변화로 인한 미래 강우량 증가와 해수면 상승을 동시에 고려한다면, 심각한 홍수 피해가 생길 것으로 예상된다. 따라서 이를 고려한 치수대책이 시급할 것으로 판단된다.

• Journal of the Society of Disaster Information
• /
• v.18 no.4
• /
• pp.930-935
• /
• 2022

Purpose: The purpose of this study is to evaluate the stiffness reduction and damping ratio of reinforced concrete hollow slabs and to analyze their performance, and to study the effect of the damping effect of hollow bodies and the stiffness reduction on the serviceability of slabs. Method: Test specimen was made in a size of 0.6m^*0.21m^*3.6m to evaluate the vibration effect of the slab, and the hollow ratio was set in six steps from 0.0% to 30% to measure the change in rigidity and damping according to the change in the hollow ratio. Result: As the hollow ratio increases, rigidity decreases and the natural frequency decreases, but as the mass decreases, the natural frequency increases gradually. Since energy is hardly dissipated up to the hollow ratio of 20%, the hollow ratio should be reduced by 30%. Conclusion: It was found that the bending strength degradation of the slab with a hollow ratio of about 30% is minimized, but an appropriate natural frequency can be maintained, and a certain damping effect can be obtained.

• Journal of Climate Change Research
• /
• v.4 no.4
• /
• pp.331-348
• /
• 2013

The frequency and intensity of abnormal climate caused by climate change is increasing in Korea. Also, the amount of damage from disaster is increasing rapidly. The research on vulnerability assessment analyzes environmentally, socially and economically vulnerable indicators and is ongoing to reduce the intensity of damage and establish adaptation policies for climate change. Therefore, in this study, we assessed vulnerability using weighting value derived by the regression equation. There are 3 evaluation items : vulnerability assessment for farmland erosion to flood, vulnerability assessment for health to heat wave, vulnerability assessment for forest fire to drought. For this study, indicators for each sectors were selected and spatial data for each sectors were established using GIS program. Results showed that vulnerability to heat wave was more affected by climate factors. On the other hand, vulnerability to flood and drought was more affected by social-economic factors. Then, to analysis efficiency of the regression analysis, vulnerability result was compared between the existing vulnerability research with no weighting applied and the vulnerability research with the influence of weighting value derived by the regression. This study showed that the regression analysis is efficient to provide practical and feasible alternatives in terms of planning climate change adaptation policies and it is expected to be utilized for vulnerability assessment in the future.

• Journal of Korea Water Resources Association
• /
• v.57 no.1
• /
• pp.21-33
• /
• 2024

Recently, the patterns of climate change-induced disasters have become more diverse and extensive. To develop an effective flood control plan, Korea has incorporated the concept of Potential Flood Damage (PFD) into the Long-Term Comprehensive Water Resources Plan to assess flood risk. However, concerns regarding the PFD have prompted numerous studies. Previous research primarily focused on modifying and augmenting the PFD index or introducing new indices. This study aims to enhance the existing flood control safety evaluation method by utilizing a flood risk map that incorporates risk indices, specifically focusing on the Yeong-Seomjin river basin. The study introduces three main evaluation approaches: risk and potential analysis, PFD and flood management level analysis, and flood control safety evaluation. The proposed improved evaluation method is expected to be instrumental in evaluating various flood control safety measures and formulating flood control plans.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2015.05a
• /
• pp.84-88
• /
• 2015

경인 아라뱃길은 국내에서 운영된 사례가 없는 기수역 운하로서 유량 및 수환경 관리 등을 포함한 수질관리 상황을 종합적으로 평가하기 위한 대책이 필요하다. 또한 경인 아라뱃길로 유입되는 오염원에 대한 현황 및 현장조사를 실시하고, 유입 오염원인을 정확히 파악하는 것이 중요하다. 따라서 경인 아라뱃길 유역의 수질조사 및 분석, 수질예측을 통해 수질관리 방안을 제시하였다. 분석결과, 홍수시 경인 아라뱃길로 유입되는 굴포천의 DO, BOD, SS는 삼정천의 영향으로 상승하였다. 삼정천은 굴포천 상류에서 부천시와 인천시의 관할 행정구역 면적에 비해 인구밀도가 높고 축산 농가 및 산업계로 인한 미처리 유출수에 의해 굴포천에 직 간접적인 영향을 미치고 있는 것으로 판단된다. 또한 굴포천 하수처리장 방류 이후 BOD, T-N, T-P의 경우 급상승하였다. 따라서 굴포천 중류의 부천시 삼정동과 인천시 계양구 내 하수 및 폐수를 하수처리장을 통해 배출할 수 있는 공동처리장 운영 등의 처리 방안이 필요하다. 또한 EFDC 모형을 이용한 해수와 담수의 성분비 변화에 대한 경인 아라뱃길의 수질을 예측한 결과, 해수가 많을수록 수질이 BOD, COD 등이 양호 한 것으로 나타났다. 그러나, 염분에 의한 지하수 및 주변환경 변화에 대한 영향을 고려하였을 때, 해수와 담수비를 조절하는 것보다 성분비를 유지하고 유입되는 양을 확대한다면, 경인 아라뱃길의 수질관리는 효과적일 것으로 판단한다.

• Journal of Korea Water Resources Association
• /
• v.55 no.6
• /
• pp.421-435
• /
• 2022

As natural disasters have been increasing due to climate change, sustainable solutions are in need to alleviate the degree of drought hazard, assess and project the drought influence based on future climate change scenarios. In assessing drought risk, socio-economic factors of the region must be considered along with meteorological factors. This study categorized drought hazard, exposure, and vulnerability as three major components of drought risk according to the Intergovernmental panel on Climate Change (IPCC) risk assessment framework, and selected indices for each component to quantify the drought risk in South Korea according to the mid-size basins. Combinations of climate scenarios (Representative Concentration Pathway; RCP 2.6 and RCP 8.5) and socio-economic scenarios (Shared Socio-economic Pathways; SSP 1, SSP2 and SSP3) for the near future (2030-2050) ant the far future (2080-2099) were utilized in drought risk analysis, and results were compared with the historical data (1986-2005). In general, the drought risks for all scenarios shows large increases as time proceeds to the far furture. In addition, we analyzed the rank of drought hazard, exposure, vulnerability for drought risk, and each of their contribution. The results showed that the drought hazard is the most contributing component to the increase of drought risk in future and each basin shows varying contributing components. Finally, we suggested countermeasures for each basin according to future climate change scenarios, and thus this study provides made the basis for establishing drought management measures.

• Journal of the Korean Geotechnical Society
• /
• v.25 no.2
• /
• pp.25-35
• /
• 2009

Slope failures are one of the significant disasters which causes lots of human casualties and huge financial losses every year. Previous researches on the slope failure have indicated that most accidents are closely related to the pore water pressure in the slope due to rainfall during the rainy seasons or stormy weather conditions. It would be therefore appropriate to consider the effect of pore water pressure in the design of slopes. As the existing slopes are generally reinforced by plants and other slope protecting measures, their boundary conditions are highly complicated. In this paper an attempt to develop a new modeling and analysis technique of slopes is proposed by including pore water pressure and adopting the coupled finite element method. Non-reinforced and reinforced slope models are considered. Representative analysis showed that the numerical modeling considering pore water pressure is appropriate in slope stability analysis. Flow behavior in the slopes is identified for various hydraulic boundary conditions. It is also shown that the effect of pore water pressure on slope stability is significant.

• Journal of Korean Society for Geospatial Information Science
• /
• v.25 no.1
• /
• pp.37-46
• /
• 2017

Recently, disaster caused by social factors is frequently occurring in Korea. Prediction about what crisis could happen is difficult, raising the citizen's concern. In this study, we developed a program to acquire tweet data by applying Python language based Tweepy plug-in, regarding social disasters such as 'Nonspecific motive crimes' and 'Oxy' products. These data were used to evaluate psychological trauma and anxiety of citizens through the text clustering analysis and the opinion mining analysis of the R Studio program after natural language processing. In the analysis of the 'Oxy' case, the accident of Sewol ferry, the continual sale of Oxy products of the Oxy had the highest similarity and 'Nonspecific motive crimes', the coping measures of the government against unexpected incidents such as the 'incident' of the screen door, the accident of Sewol ferry and 'Nonspecific motive crime' due to misogyny in Busan, had the highest similarity. In addition, the average index of the Citizens sentiment score in Nonspecific motive crimes was more negative than that in the Oxy case by 11.61%p. Therefore, it is expected that the findings will be utilized to predict the mental health of citizens to prevent future accidents.

• Korean Journal of Remote Sensing
• /
• v.35 no.5_2
• /
• pp.831-840
• /
• 2019

Recently, the span length of long-span bridges is getting longer. As a result, it has been suggested that a new concept called 'super long-span bridge'. In case of super long span bridges, the structure is being complicated and the importance of structural stability is being emphasized. However, until recently, the most commonly used sensors (dual axis clinometer, anemometer, strain gauge, etc.) have got limit about the bridge monitoring. Consequently, we researched the application of a Global Navigation Satellite System (GNSS) to improve the limit of the existing sensors. In this study, the dual axis clinometer, the anemometer and the strain gauge together with the GNSS were used to analyze the behavior of a super-long suspension bridge. Also, we propose the detailed method of bridge monitoring using the GNSS. This study consisted of three steps. First step calculated the absolute coordinates of the towers and the longitudinal axis direction of the study bridge using the GNSS. In second step, through the analysis of the long-term behavior in shortly after construction, we calculated the permanent displacement and evaluated the stability of main towers. Third step analyzed the behavior of bridge by the wind direction and was numerically indicated. Consequently, the bridge measurement using the GNSS appeared that the acquired data is able to easy processing according to the analysis purpose. If we will use together the existing measurement sensors with the GNSS on the maintenance of the super long-span bridge, we figure each error of measurement data and improve the monitoring system through calibration. As a result, we acquire the accurate displacement of bridge and figure the behavior of bridge. Consequently, we identified that it is able to construct the effective monitoring system.

• Journal of Korea Water Resources Association
• /
• v.57 no.3
• /
• pp.181-193
• /
• 2024

The increasing atmospheric imbalance caused by climate change leads to an elevation in precipitation, resulting in a heightened frequency of flooding. Consequently, there is a growing need for technology to detect and monitor these occurrences, especially as the frequency of flooding events rises. To minimize flood damage, continuous monitoring is essential, and flood areas can be detected by the Synthetic Aperture Radar (SAR) imagery, which is not affected by climate conditions. The observed data undergoes a preprocessing step, utilizing a median filter to reduce noise. Classification techniques were employed to classify water bodies and non-water bodies, with the aim of evaluating the effectiveness of each method in flood detection. In this study, the Otsu method and Support Vector Machine (SVM) technique were utilized for the classification of water bodies and non-water bodies. The overall performance of the models was assessed using a Confusion Matrix. The suitability of flood detection was evaluated by comparing the Otsu method, an optimal threshold-based classifier, with SVM, a machine learning technique that minimizes misclassifications through training. The Otsu method demonstrated suitability in delineating boundaries between water and non-water bodies but exhibited a higher rate of misclassifications due to the influence of mixed substances. Conversely, the use of SVM resulted in a lower false positive rate and proved less sensitive to mixed substances. Consequently, SVM exhibited higher accuracy under conditions excluding flooding. While the Otsu method showed slightly higher accuracy in flood conditions compared to SVM, the difference in accuracy was less than 5% (Otsu: 0.93, SVM: 0.90). However, in pre-flooding and post-flooding conditions, the accuracy difference was more than 15%, indicating that SVM is more suitable for water body and flood detection (Otsu: 0.77, SVM: 0.92). Based on the findings of this study, it is anticipated that more accurate detection of water bodies and floods could contribute to minimizing flood-related damages and losses.