• Journal of Korea Water Resources Association
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• v.56 no.1
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• pp.45-52
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• 2023

Due to natural disasters such as heavy rain that occurred in the metropolitan area in August 2022, human casualties and property damage are increasing. Accordingly, the government is making efforts to respond to natural disasters, but due to the absence of related standards and standardized standards, problems such as increased construction costs and deterioration in construction quality for disaster prevention facility maintenance projects are occurring. Accordingly, a rough construction cost estimation module was developed and applied to 25 new pumping stations in Korea. As a result of the analysis, the accuracy of the rough construction cost derived through the module recorded 70% of the detailed design cost, which is 4% higher than the previously used rough construction cost accuracy of 66% by the Ministry of Environment. Accordingly, it is expected that the efficiency of the disaster prevention project can be increased if the developed module is used to calculate the rough construction cost for storm and flood disaster prevention in the future.

• Journal of Environmental Science International
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• v.30 no.12
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• pp.1053-1065
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• 2021

In this study, the prediction technology of Hydrological Quantitative Precipitation Forecast (HQPF) was improved by optimizing the weather predictors used as input data for machine learning. Results comparison was conducted using bias and Root Mean Square Error (RMSE), which are predictive accuracy verification indicators, based on the heavy rain case on August 21, 2021. By comparing the rainfall simulated using the improved HQPF and the observed accumulated rainfall, it was revealed that all HQPFs (conventional HQPF and improved HQPF 1 and HQPF 2) showed a decrease in rainfall as the lead time increased for the entire grid region. Hence, the difference from the observed rainfall increased. In the accumulated rainfall evaluation due to the reduction of input factors, compared to the existing HQPF, improved HQPF 1 and 2 predicted a larger accumulated rainfall. Furthermore, HQPF 2 used the lowest number of input factors and simulated more accumulated rainfall than that projected by conventional HQPF and HQPF 1. By improving the performance of conventional machine learning despite using lesser variables, the preprocessing period and model execution time can be reduced, thereby contributing to model optimization. As an additional advanced method of HQPF 1 and 2 mentioned above, a simulated analysis of the Local ENsemble prediction System (LENS) ensemble member and low pressure, one of the observed meteorological factors, was analyzed. Based on the results of this study, if we select for the positively performing ensemble members based on the heavy rain characteristics of Korea or apply additional weights differently for each ensemble member, the prediction accuracy is expected to increase.

• Journal of the Society of Disaster Information
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• v.16 no.2
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• pp.248-266
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• 2020

Purpose: The purpose of this study is to create a checklist for each type of disaster and to suggest a method for establishing an appropriate response system and making accurate and rapid decision-making. Method: In order to derive checklist factors, previous case analyses (Tropical Storm Rusa (2002), Typhoon Maemi (2003), and Typhoon Chaba (2016) were conducted for typhoon disaster. Grouping was conducted to derive checklist factors by analyzing general status (climate and weather) information and characteristics by case. Result: The case study was divided into national level and county level. In terms of national unit, eight forecasts were included: weather forecast, typhoon landing status, typhoon intensity, typhoon radius, central pressure, heavy rain conditions, movement speed, and route. Local governments should reflect regional characteristics, focusing on the presence or absence of similar typhoons (paths) in the past, typhoon landing time, regional characteristics, population density, prior disaster recovery, recent disaster occurrence history, secondary damage, forecast warning system. A total of eight items were derived. Conclusion: In the event of a disaster, decision making will be faster if the checklist proposed in this study is used and applied. In addition, it can be used as the basic data for disaster planners' response plans in case of disasters, and it is expected to be a more clear and quick disaster preparedness and response because it reflects local characteristics.

• Journal of Korean Society of Disaster and Security
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• v.6 no.1
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• pp.55-63
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• 2013

The existing landslide warning guideline was mostly issued in 1990's and did not consider recent weather changes such as focused area heavy rainfall or regional geographic features. And every regional government applies the guideline equally which results in continued disasters. Thus it is necessary to conduct a research on landslide with regards to the correlation between the increased focused rainfall and regional geographic features. We propose a renewed emergency escape guideline against steep slope landslides that can assess most likely avalanche time according to amounts of rain and a continued raining time, for a swift escape of the residents of the affected area.

• Journal of the Korean Society of Manufacturing Process Engineers
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• v.16 no.1
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• pp.141-148
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• 2017

Recently, localized heavy rain storms have been occurring frequently due to global warming, and it is difficult to shield a large number of facilities against disaster with limited manpower. The unmanned water treatment system uses five senses to analyze various judgment criteria, which are set according to field situations such as machine vibrations, the temperature of bearings, the sound of the operating machines, and the hydraulic pressure, current, and voltage of the hydraulic floodgates. It thus judges normal or abnormal operation status and conducts unmanned control of such machines. It automatically applies a system to the interruption of communications and therefore improves the reliability of its unmanned irrigation facilities. It maximizes the operational efficiency of managers responsible for various fields, enabling them to discharge water before the situation escalates to a crisis within the golden time, and to protect against damage to humans and property.

• Journal of Korean Society for Geospatial Information Science
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• v.11 no.3 s.26
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• pp.35-40
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• 2003

In these days, damages from localized heavy rain or typhoon are increase and people are making constant effort to work out countermeasures. Especially, by apply GIS with prompt extraction of information and objective analysis, we could demonstrate more effectively. For that reason, in this research we make the connection between rainfall-runoff model and HEC-RAS which calculate automatically and inquire out the dangerous zone easier way by describing the result with the connection between the Map Object and MFC. Most of all, this research will be very useful to forecast and prepare the disaster because it could plot plane figures, longitudinal sections and cross sections at the same time to help understand the damaged situation.

• Proceedings of the Korean Society of Disaster Information Conference
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• 2016.11a
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• pp.203-204
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• 2016

최근 자연재난으로 인한 인명피해는 감소하는 추세를 나타내고 있으나, 기후변화 및 도시화 등으로 인해 재산피해는 점차 증가하고 있는 실정이다. 기존의 연구는 재난이 일어난 후 사후복구차원에서 피해액을 집계하거나 복구비를 추정하는 연구가 주를 이루고 있으며, 재난이 발생하기 전에 피해액을 추정하는 연구는 매우 미흡한 실정이다. 따라서 본 연구에서는 과거 통계자료를 기반으로 인공신경망과 다중회귀분석을 이용하여 전체 자연재난 피해액의 약 95%를 차지하는 호우피해액을 예측하기 위한 피해함수 개발하고자 한다. 대상지역으로는 경기도 지역으로 선정하였고, 1994년부터 2015년까지의 수문기상자료와 시군구별 재해통계자료를 수집하여 분석을 위한 함수개발을 위한 자료로 재구축하였다. 또한 시간별 최대 강우량과 피해액에 대한 상관분석을 실시하여 지속시간별(1~24시간) 최대강우 자료와 재해기간별 선행강우(1~5일)자료, 그리고 재해기간의 총강우량 자료가 상관성이 높다는 것을 파악했다. 이를 독립변수로 활용하고, 재해기간별 피해액을 종속변수로 사용하여 지역별 호우피해 예측함수를 개발하였다. 본 연구는 효율적이고, 효과적으로 재해예방을 위한 방재체계를 수립하는데 기초자료로 활용될 것으로 판단되며, 사전대비 차원의 재난관리를 통해 정책결정권자들의 의사결정에도 도움을 줄 수 있다고 판단된다.

• Geomechanics and Engineering
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• v.33 no.2
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• pp.167-174
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• 2023

This study evaluated slope stability through a case study to determine the disaster risks associated with increased deforestation in structures, including schools and apartments, located in urban areas adjacent to slopes. The slope behind the ○○ High School in Gwangju, Korea, collapsed owing to heavy rain in August 2018. Historically, rainwater drained well around the slope during the rainy season. However, during the collapse, a large amount of seepage water flowed out of the slope surface and a shallow failure occurred along the saturated soil layer. To analyze the cause of the collapse, the images of the upper area of the slope, which could not be directly identified, were captured using unmanned aerial vehicles (UAVs). A digital elevation model of the slope was constructed through image analysis, making it possible to calculate the rainfall flow direction and the area, width, and length of logging areas. The change in the instability of the slope over time owing to rainfall lasting ten days before the collapse was analyzed through numerical analysis. Imaging techniques based on the UAV images were found to be effective in analyzing ground disaster risk maps in urban areas. Furthermore, the analysis was found to predict the failure before its actual occurrence.

• Journal of the Society of Disaster Information
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• v.9 no.4
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• pp.503-510
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• 2013

Recently, localized heavy rain is increased by climatic changes and landslide is increased. Also, because of landslide occurred in urban area, life and property damages are increased. Therefore, standard operation procedure of disasters should be established by steps and institutions so as to respond landslide. This thesis investigated application of current disaster manual so as to write SOP of landslide for disaster prevention related experts and accepted opinion for responding necessaries by using landslide SOP and important matters by step of disaster management. As the result of investigation, application of manual was low during the current response to disasters and application was the highest in responding step among the steps of disaster management. In case of landslide, they responded that response with SOP is necessary. During the organization of landslide SOP, they responded that training and education for landslide disaster are important at the step of prevention, conduction of landslide disaster broadcasting and provision of information are important at the step of preparation, guidance for evasion and behavior methods is important at the step of response and investigation of landslide disaster damages and reflection of record and evaluation are important at the step of recovery. In addition, for the requests for landslide SOP application, there was an importance of secondary factors such as expansion of professional manpower, strengthening of law and institution, education and training for SOP acquisition, etc.

• Journal of Korean Society of Forest Science
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• v.78 no.2
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• pp.228-241
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• 1989

The objectives of this study are to identify flood disasters resulted from heavy rainstorm including earth and stone-debris avalanches and also to develope the scientific data to be needed for establishing the landslide-related disaster prevention countermeasures. For this study, 5 Gun (district) regions including Booyeo, Seochun, Gongju, Boryung, and Chungyang in Chungchongnam-do of the central part of Korea, in which severe landslide damages have been triggered during 3 days from July 21 to July 23, 1987, were investigated. Mostly, landslides having death of human lives triggered from 6 a.m, to 8 a,m. on July 22, and the principal factor was proved to be the continuous heavy rain ; the continuous rainfall of internal region for 3 days measured about 300-673 mm. The structural measures for slope failure prevention countermeasures at the hollow part of upper hillslope should be required. Natural drainage network on slopes should not be disturbed in case of land use alteration, such as a chestnut planting work on hillslopes behind the houses particularly. There are so many problems in recognition of landslide disaster prevention countermeasures including evacuation exercises. More actual education of countermeasures for control of flood and landslide should be put to practice through "civil defense education" and "inhabitants' meeting." In this context, existing Erosion Control Stations of 13 regions established in each Province should not be reduced. The designation criterion and surveying processes of "Landslide Prone Site" published by Forest Administration should also be improved scientifically.