• Journal of Korean Society of Transportation
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• v.15 no.1
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• pp.27-43
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• 1997

본 연구의 목적은 1995년 우리 나라에서 발생한 교통사고의 인명피해비용을 추정 하는 것이다. 인명피해비용추정을 위한 방법론으로는 인적 자본법을 사용하였다. 인적자본 법의 기본이 되는 미래손실생산량의 계산은 임금을 기본으로 하지 않고 GNP를 기준으로 삼는다. GNP 상승률을 8.14%로 고정하고, 성장률에 대한 할인율의 비를 0.92, 0.94, 0.98 로 정하고, 이에 따른 할인율은 0.17, 0.15, 0.10으로 계산된다. 따라서, 각각의 비율에 따 른 총 인명피해액은 1조 2천억원, 1조 5천억원, 2조 6천억원이 된다. 또한, 평균인명피해액 을 구하면, 1억 2천 5백만원, 1억 5천 3백만원, 2억 5천 5백만원이 되며, 비용-편익 분석 을 위한 추정된 총 주행거리당 원단위 비용은 각각의 경우, 5원, 6원, 10원으로 산정 되었 다. 본고에서 추정한 총 주행거리당 원단위 비용은 도로 안전시설물 투자전 평가에 도움을 줄 수 있으리라 기대된다.

• Journal of the Economic Geographical Society of Korea
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• v.18 no.1
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• pp.76-86
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• 2015

In this study, we presented a method for estimating the potential population damage of the Seoul Nowon-gu area in the event of a terrorist using a vehicle improvised explosive devices (IED). Using the object-based building extraction method with orthophoto image, the area of the apartment has been determined, and the apartment's height and level were estimated based on the elevation data. Using the population estimation method based on total floor area of building, each apartment resident population was estimated, and then potential population damage at the time of terrorist attacks was estimated around the subway station through a scenario analysis. Terrorism damage using IED depends on the type of vehicle greatly because of the amount loadable explosives. Therefore, potential population damage was calculated based on the type of vehicle. In the results, the maximum potential damage population during terrorist attacks has been estimated to occur around Madeul station, Nowon-gu. The method used in this study can be used various population estimation research and disaster damage estimation.

• Journal of the Society of Disaster Information
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• v.12 no.1
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• pp.74-88
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• 2016

Predicting and estimating the disaster characteristics are very important for disaster planning such as prevention, preparedness, response, and recovery. Especially, if we can predict the flood damage before flooding, the predicted or estimated damage will be a very good information to the decision maker for the response and recovery. However, most of the researches, have been performed for calculating disaster damages only after disasters had already happened and there are few studies that are related to the prediction of the damages before disaster. Therefore, the objective of this study was to predict and estimate the flood damages rapidly considering the damage scale and effect before the flood disaster, For this the relationship of rainfall and damage had been suggested using nonlinear regression equation so that it is able to predict the damages according to rainfall. We compared the estimated damages and the actual ones. As a result, the damages were underestimated in 14.16% for Suwon-city and 15.81% for Yangpyeong-town but the damage was overestimated in 37.33% for Icheon-city. The underestimated and overestimated results could be occurred due to the uncertainties involved in natural phenomenon and no considerations of the 4 disaster steps such as prevention, preparedness, response, and recovery which were already performed.. Therefore, we may need the continuous study in this area for reducing various uncertainties and considering various factors related to disasters.

• Journal of Wetlands Research
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• v.11 no.2
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• pp.77-87
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• 2009

Drought has different characteristics from other disasters. Say, drought effect can be prolonged according to drought duration and so the estimation of drought damage can be difficult. Therefore this study suggested and applied the proper drought damage estimation method developed based on previous methods. The suggested method was used for the drought damage estimations considering agricultural aspect and domestic water use which the data are available. We estimated drought damages on Gimhae-si, Namhae-gun, Uiryeong-gun, Changnyeong-gun, and Changwon-si in Gyungsang Nam-do from 2006 to 2008. As a result, in agricultural aspect, the damage on rice was about 195million won in Uiryeong-gun and on rice was about 67million won in Changnyeong-gun. In domestic water use, the damage was about 21billion won on 4 towns of Namhae-gun when we assumed the expense for sufferance is 400,000 won. We may need develope the method in the direction of the best use of present data for the improvement of the suggested method in agricultural aspect. In the case of the estimation of drought damage about domestic water use, we could suggest more realistic method if we consider the weights for the expense for sufferance and water use.

• Spatial Information Research
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• v.17 no.2
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• pp.243-249
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• 2009

Damages from typhoon events have contributed more than 60 percent of total economic and social loss and the size of loss have been increased up to 800 million dollars per year in Korea, It is therefore necessary to make an effort to mitigate the loss of natural disasters. To facilitate the evaluation of damages in advance and to support the decision making to recover the damages, scientific methods have been adopted. With the effort, GIS data can provide various tools. Three components of hazard mapping are estimation of hazard, inventory for vulnerable features, and fragility of each feature. Vulnerability of natural disaster can be obtained by relation between loss and meteorological data such as precipitation and wind speed. Features can be categorized from other GIS data of public facilities and private properties, and then social and economic loss can be estimated. At this point, GIS data conversions for each model are required. In this study, we build a method to estimate typhoon risk based on GIS data such as DEM, land cover and land use map, facilities.

• Journal of Wetlands Research
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• v.22 no.4
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• pp.302-311
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• 2020

There are limitations to cope with flood damage by structural strategies alone because both frequency and intensity of floods are increasing due to climate change. Therefore, it is one of the necessary factors in the nonstructural countermeasures to collect and analyze historical flood damage records for the future flood damage assessments. In order to estimate flood damage costs in Gyeongsangbuk-do where severe flood damage occurs frequently due to geographical and climatic effects, this paper has performed the regression analysis on flood damage records over the past 20 years (1999-2018) by rainfall characteristics, which is one of the major causes of flood damage. This paper has then examined the relationship between the terrain features and rainfall characteristics in the regional regression functions, and also estimated the flood damage risk for 100-year rainfall by using the regional regression functions presented for the 22 administrative districts in Gyeongsangbuk-do excluding Ulleung-gun. The flood damage assessment shows that the relatively high damage risk is estimated for county areas adjacent to the eastern coast in Gyeongsangbuk-do. The regional damage estimate functions in this paper are expected to be used as one of the nonstructural countermeasures to estimate flood damage risk for the design or forecasting rainfall data.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.122-122
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• 2017

재해로부터 국민의 인명과 재산을 보호하기 위해서는 재해 발생의 빈도 증가와 대형화 추세에 따라 예상되어지는 피해규모의 분석과 예측을 통한 대책 마련이 필요하다. 한국의 경우 피해지역 조사를 통하여 획득한 피해일시, 피해시설물, 피해내역, 피해액과 같은 피해액 정보를 관리하는 국가재난관리시스템(National Disaster Management System, NDMS)이 운영되고 있다. 그러나 공공시설물 중 가장 많은 피해액을 나타내고 있는 하천시설물에 대한 피해규모의 예측에 대한 연구는 전무한 실정이다. 본 연구에서는 국가재난관리시스템의 과거 하천 피해정보를 이용하여 하천의 구간별 평균유속과 피해연장으로부터 하천의 피해액을 추정할 수 있는 하천 손실함수를 개발하였으며, 시범 대상지역에 적용하여 검증하였다. 하천 손실함수는 향후 피해액 추정에 따른 피해규모 분석을 통하여 재해저감대책을 마련하는데 필요한 유용한 정보로 활용될 수 있을 것이다.

• Journal of Korea Water Resources Association
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• v.47 no.8
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• pp.717-728
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• 2014

In this study, we developed a depth-damage function based on flood damage survey with focusing on building damage in urban area. We designed items for the questionnaire survey to develop a depth-damage function which estimates the amount of damage based on inundation depth targeting Dongducheon, Korea, which has experienced severe inundation damage due to significant flooding in July 2011. Based on the survey of the area, we developed a depth-damage function and used this to estimate the real amount of damage on buildings in the inundation area. To assess the damage on buildings, we categorized buildings into two groups; namely residential buildings and commercial buildings. Also, in order to calculate the real amount of damage caused by flooding, properties and detailed damaged items were sub-divided into two groups for the survey; facilities loss (wall paper, floor paper, painting, electrical facilities, and boilers) and furnishing loss (furniture, electronic products, and daily necessities. We expect this study on the process for developing depth-damage function and on the investigation research for flooded area to help in the efficient implementation of all kinds of disaster management policies and the attainment of a society safe from disaster.

• Korean Journal of Agricultural and Forest Meteorology
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• v.10 no.1
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• pp.17-24
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• 2008

This study was performed to estimate non-$CO_2$ greenhouse gases (i.e., GHGs) emission from biomass burning at a local scale. Estimation of non-$CO_2$ GHGs emission was conducted using Landsat TM satellite imagery in order to assess the damage degree in burnt area and its effect on non-$CO_2$ GHGs emission. This approach of estimation was based on the protocol of the 2003 IPCC Guidelines. In this study, we used one of the most severe fire cases occurred Samcheock in April, 2004. Landsat TM satellite imageries of pre- and post-fire were used 1) to calculate delta normalized burn ratio (dNBR) for analyzing burnt area and burn severity of the Samcheok large-fire and 2) to quantify non-$CO_2$ GHGs emission from different size of the burnt area and the damage degree. The analysis of dNBR of the Samcheok large-fire indicated that the total burnt area was 16,200ha and the size of the burnt area differed with the burn severity: out of the total burnt area, the burn severities of Low (dNBR < 152), Moderate (dNBR = 153-190), and High (dNBR = 191-255) were 35%, 33%, and 32%, respectively. It was estimated that the burnt areas of coniferous forest, deciduous forest, and mixed forest were about 11,506ha (77%), 453ha (3%), and 2,978ha (20%), respectively. The magnitude of non-$CO_2$ GHGs emissions from the Samcheok large-fire differed significantly, showing 93% of CO (44.100Gg), 6.4% of CH4 (3.053Gg), 0.5% of $NO_x$ (0.238Gg), and 0.1% of $N_2O$ (0.038Gg). Although there were little changes in the total burnt area by the burn severity, there were differences in the emission of non-$CO_2$ GHGs with the degree of the burn severity. The maximum emission of non-$CO_2$ GHGs occurred in moderate burn severity, indicating 47% of the total emission.

• Proceedings of the Korea Water Resources Association Conference
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• 2017.05a
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• pp.44-44
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• 2017

홍수 피해 특성을 파악하고 영향 인자를 평가하여 홍수 피해로 인한 손실을 추정하는 것은 홍수 예방과 피해 저감을 위한 대책 마련 및 정책수립을 위해 매우 중요하다. 이 중 홍수로 인한 주거건물의 피해는 일반 주민들과 직접적인 관련이 있다. 그러나 국내의 경우, 홍수피해 정보를 수집하기 위한 체계적인 조사 방법이 확립되어 있지 않아 주거건물 및 내용물의 피해가 과소평가되는 경향이 있다. 본 연구에서는 주거건물 및 내용물에 대해 홍수피해 정보의 체계적인 수집을 위해 주거건물 설문조사지를 활용하였다. 수집된 홍수피해 정보는 주거건물과 건물내용물의 홍수피해율과 영향인자간의 관계 분석에 활용하였으며, 국내 실정에 적합한 홍수피해 손상함수를 개발하고 적용 및 분석하였다. 분석 결과, 홍수로 인한 주거건물의 피해에 영향을 주는 대표 인자는 건물내 침수심과 출입구 높이로 평가되었으며, 건물내용물에 영향을 주는 인자는 건물내 침수심, 이송잡물로 나타났다. 한편, 주거건물과 내용물에 대한 손상함수를 건물내 침수심을 활용하여 회귀분석을 통해 개발하였으며, 개발된 손상함수는 국내 홍수피해 평가 모델인 다차원법과 비교 평가하였다. 평가 결과, 주거건물 피해액은 다차원법이 크게 산정되었으며, 건물내용물 피해액은 손상함수가 크게 산정된 것으로 나타났다. 본 연구에서 수행한 주거건물과 건물내용물의 홍수피해 영향인자 평가 결과는 홍수피해 저감 대책 수립 및 향후 홍수피해를 추정하는데 활용할 수 있을 것으로 기대된다.