• Journal of the Korean Society of Industry Convergence
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• v.23 no.6_2
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• pp.1043-1050
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• 2020

In this study, a study was presented on the monitoring technique of landslide area using UAV. In the case of disaster investigation using drone mapping, it can be used at various disaster sites. The mission can be carried out at various disaster sites, including surveys of damage to mountainous areas caused by landslides, building collapses surveys of flood damage, typhoons, earthquakes. The damage investigation plan using drone mapping is expected to be highly utilized at disaster sites where investigators cannot access it like in mountainous areas and where it is difficult to conduct direct damage investigations at the site. Drone mapping technology has many advantages in terms of disaster follow-up, such as recovery. Compared to the existing survey system, which was mainly carried out manually, the investigation time can be drastically reduced, and it can also respond to disaster sites that are difficult to carry out or are difficult to access directly. In addition, it is possible to establish and guide spatial data at the disaster site based on accurate mapping data from the time of the disaster, which has considerable strength in managing the situation of the disaster site, selecting priority areas for recovery, and establishing recovery plans. As such, drone mapping is a technology that can be used in a wide range of sites along with natural disasters and social disasters. If a damage investigation system is established through this, it is believed that it will contribute significantly to the rapid establishment of recovery plans along with the investigation of disaster response time and extent of damage recovery.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.3
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• pp.76-92
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• 2018

This study aimed to establish database of rainfall inundation area by rainfall scenarios and conduct a real time prediction for urban flood mitigation. the data leaded model was developed for the mapping of inundated area with rainfall forecast data provided by korea meteorological agency. for the construction of data leaded model, 1d-2d modeling was applied to Gangnam area, where suffered from severe flooding event including september, 2010. 1d-2d analysis result agree with observed in term of flood depth. flood area and flood occurring report which maintained by NDMS(national disaster management system). The fitness ratio of the NDMS reporting point and 2D flood analysis results was revealed to be 69.5%. Flood forecast chart was created using pre-flooding database. It was analyzed to have 70.3% of fitness in case of flood forecast chart of 70mm, and 72.0% in case of 80mm flood forecast chart. Using the constructed pre-flood area database, it is possible to present flood forecast chart information with rainfall forecast, and it can be used to secure the leading time during flood predictions and warning.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.25 no.6_2
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• pp.599-611
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• 2007

Among natural disasters that lead to devastating damage, floods from heavy rains have been causing hundreds of victims and a great loss of their properties every year. Basically, there is no other way to deal with the problem considering the characteristics of natural disaster, but more specific studies for a preventive measure of flood has been in progress so far. However, the controversy over the problem is going on due to the objection of some environmental organizations or some economic reasons. The key point is to select the most likely area for a preventive measure of floods where a huge amount of the national budget is put into it. This is the factor which judges whether it would be a success or failure. This study aims to provide some basic data for deciding the priority order in a disaster preventing plan by drawing more potential damage areas from the connection with GIS and using them into the economic analysis for flood prevention industries.

• The Journal of the Korea Contents Association
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• v.18 no.2
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• pp.169-177
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• 2018

There is a lot of loss of life due to natural disasters. In particular, flood damage caused by heavy rainfall in urban areas causes serious damage. Therefore, in this study, we conducted a study on the optimal evacuation route for safe evacuation of urban areas. We set up a methodology by reviewing Flo-2D model and A* algorithm. A Flo-2D model was used to derive the hazardous area, and we selected the starting points with many people and suggested ways to select safe evacuation sites. And the route was derived from the starting point to the safe evacuation point by using the A * algorithm. This study could be used not only for evacuation route but also for road maintenance and evacuation facilities.

• Journal of Korea Water Resources Association
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• v.47 no.12
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• pp.1165-1176
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• 2014

In a river bend the water surface is inclined by the centrifugal force toward the transverse section. If channel slope and flow rate increase, the gradient is rising generally. There are lots of the flood damage at the bends of mountain river because the flood water levels have exceeded frequently the levee levels which are added a free board to the design flood water level. Therefore the superelevation should be considered in designing the mountainous river bend. In present study it was proposed to estimate the superelevation at the bend of mountain river and the superelevation coefficient defined from multiplying the sub-factors. The values of the influence factors for the superelevation coefficient were suggested from analyzing the superelevation measured at the bends in Yangyangnamdae river and the hydraulic experiments in gravel-bed channel with a $90^{\circ}$ bend. The applicability of these methods to estimate the superelevation at the bends in mountain river was verified by the superelevation measured at the bend in Naerin river.

• Journal of Environmental Impact Assessment
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• v.23 no.1
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• pp.39-50
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• 2014

In recent years, the frequency and scale of the natural disasters are growing rapidly due to the global climate change. In case of the urban flooding, high-density of population and infrastructure has caused the more intensive damages. In this study, we analyzed the spatial characteristics of urban flooding damage factors using GWR(Geographically Weighted Regression) for effective disaster prevention and then, classified the causes of the flood damage by spatial characteristics. The damage factors applied consists of natural variables such as the poor drainage area, the distance from the river, elevation and slope, and anthropogenic variables such as the impervious surface area, urbanized area, and infrastructure area, which are selected by literature review. This study carried out the comparative analysis between OLS(Ordinary Least Square) and GWR model for identifying spatial non-stationarity and spatial autocorrelation, and in the results, GWR model has higher explanation power than OLS model. As a result, it appears that there are some differences between each of the flood damage areas depending on the variables. We conclude that the establishment of disaster prevention plan for urban flooding area should reflect the spatial characteristics of the damaged areas. This study provides an improved understandings of the causes of urban flood damages, which can be diverse according to their own spatial characteristics.

• Journal of Korean Society of Disaster and Security
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• v.13 no.4
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• pp.93-104
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• 2020

Climate change has emerged as a social issue, and efforts have been made to overcome it in various ways. However, climate change due to global warming is likely to accelerate further than we expected, and the associated damage is also likely to increase. This tendency is expected to continue in the future, leading to difficulties for the existing water resource management system based on historical data. The precipitation in 2020 caused property damage and loss of life due to the extreme rainfall exceeding the design rainfall with the very unusual prolonged rainy days. With this 2020 flood, we should no longer be passive in managing flood risk due to uncertainties in climate change.

• Journal of Korea Multimedia Society
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• v.20 no.3
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• pp.520-532
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• 2017

Large-scale natural disasters such as typhoon and localized torrential downpour cause widespread human and property damages. Recently, management systems using GIS are being developed to manage such disasters from various angles. Integrated disaster management encompasses diverse areas such as prediction through the computation of disaster information and field support for response. The development of disaster information systems must also consider the installation of various computation modules. Furthermore, GIS is generally included for realistic description of the field situation and for spatial operations. This study aims to develop the core module of a visualization platform for the 3D GIS services of integrated disaster information using Unity engine This system will enable integrated disaster management from various angles, encompassing disaster prevention experts, field support personnel, and citizens.

• Journal of Korean Society of Disaster and Security
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• v.5 no.2
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• pp.1-10
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• 2012

Natural disasters are occurring frequently due to typhoon and flood. Especially, damage scales are increasing these days because of climate change. When natural disasters occur, civil engineering officers investigate them for the recovery. If public facilities are damaged, the disaster damage investigation must be finished within 7days. Currently, natural disaster damage investigation is done on two levels, field investigation and data input into NDMS. However, having those two overlapped most of the time, and we must do subsidiary works things to register field investigation data into system. Work efficiency is decreased due to repetition of additional work. So, many civil engineering officers indicated problems such as lack of manpower and time. In this study, We developed work process on natural disaster damage investigation that involves using smart phone to solve problems such as shortage of time and manpower.

• Journal of Korea Water Resources Association
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• v.44 no.7
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• pp.537-551
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• 2011

Based on optimal input data combination selected in the earlier study, Neuro-Fuzzy flood forecasting model linked Takagi-Sugeno fuzzy inference theory with neural network in Wangsukcheon and Gabcheon is established. The established model was applied to Wangsukcheon and Gabcheon and water levels for lead time of 0.5 hr, 1 hr, 1.5 hr, 2.0 hr, 2.5 hr, 3.0 hr are forecasted. For the verification of the model, the comparisons between forecasting floods and observation data are presented. The forecasted results have shown good agreements with observed data. Additionally to evaluate quantitatively for applicability of the model, various statistical errors such as Root Mean Square Error are calculated. As a result of the flood forecasting can be simulated successfully without large errors in all statistical error. This study can greatly contribute to the construction of a high accuracy flood information system that secure lead time in medium and small streams.