• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.123-127
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• 2002

In this paper, we propose spatial prediction model for landslide hazard mapping that can account for the fuzziness of boundaries in thematic maps showing the different environmental impacts, depending on the scales and the resolutions of them. The fuzziness or uncertainty of boundary is represented in favourability function based on fuzzy object concept and the effects of them are quantitatively evaluated with the help of cross validation procedures. To illustrate the proposed schemes, a case study from Boeun, Korea was carried out. As a result, the proposed schemes are helpful to account for intrinsic uncertainties in categorical maps and can be effectively adopted in spatial prediction models for other purposes.

• 대한원격탐사학회지
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• 제34권1호
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• pp.75-87
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• 2018

The Baekdu volcano (2,750 m a.s.l.) is located on the border between Yanggando Province in North Korea and Jilin Province in China. Its eruption in 946 A.D. was among the largest and most violent eruptions in the past 5,000 years, with a volcanic explosivity index (VEI) of 7. In this study, we processed and analyzed lahar-inundation hazard zone data, applying a geographic information system program with menu-driven software (LAHARZ)to a shuttle radar topography mission 30 m digital elevation model. LAHARZ can simulate inundation hazard zones created by large lahar flows that originate on volcano flanks using simple input parameters. The LAHARZ is useful both for mapping hazard zones and estimating the extent of damage due to active volcanic eruption. These results can be used to establish evacuation plans for nearby residents without field survey data. We applied two different simulation methods in LAHARZ to examine six water systems near Baekdu volcano, selecting weighting factors by varying the ratio of height and distance. There was a slight difference between uniform and non-uniform ratio changes in the lahar-inundation hazard zone maps, particularly as slopes changed on the east and west sides of the Baekdu volcano. This result can be used to improve monitoring of volcanic eruption hazard zones and prevent disasters due to large lahar flows.

• 한국수자원학회논문집
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• 제39권1호
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• pp.23-33
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• 2006

본 연구에서는 국내에서 발생했던 산사태에 대한 사례연구를 통하여 GIS 기반의 산사태 예측모형 SINMAP의 적용성을 검토하였다. 사례연구의 대상지역은 서울에서 남쪽으로 78km 정도 떨어진 곳에 위치한 용인시 이동면 덕성리 소재 달봉산으로 1991년 집중호우기간 동안에 많은 산사태가 발생하였다. 이 지역에 대하여 SINMAP을 적용하여 당시 산사태지도와 비교 분석한 결과 대부분의 산사태를 성공적으로 예측하였다. 또한 본 연구에서는 SINMAP 모형의 적용에 필요한 3가지 매개변수인 흙의 내부마찰각, 점착력, T/R 산사태 예측에 미치는 영향과 적정범위에 대하여 검토하였다 본 연구를 통하여 SINMAP은 사면 경사가 급하고 토층의 두께가 얕은 국내산지의 산사태 위험도를 예비적으로 평가하는 유용한 도구가 될 수 있는 것으로 보인다.

• 한국지반환경공학회 논문집
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• 제16권1호
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• pp.17-27
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• 2015

최근 우리 정부는 안전한 대한민국이라는 슬로건 아래 지진재해를 포함한 자연재해피해를 최소화하는데 많은 노력을 집중하고 있으며, 이를 위해 산사태 위험도와 액상화 위험도와 같은 지진 시 지반피해 GIS 시스템 데이터가 구축되고 있는 실정이다. 우리나라 전역을 포함하는 지진 시 액상화 위험도를 작성하기 위해서는 수많은 지반시추정보에 대한 적용성 검토가 필요하다. 본 연구에서는 액상화 위험도 작성을 위해 인구밀도가 높은 광역지역의 지반증폭계수를 검토하였으며 이를 위해 S시 522개 시추공지반 정보를 수집하여 지반응답해석을 수행하였다. 이때 지반분류는 지반정보의 불확실성을 고려하고자 현행 내진 설계기준에서 제안하고 있는 시추종료 깊이 이후의 지반 정보를 30m로 가정하는 경우와 지반정보의 오리지널 데이터 값만을 이용하는 경우로 나누어 비교하였으며, 타당성 검토 시에는 지반응답해석 결과에 대한 확률분포와 통계분석을 이용하여 수행하였다. 최종적으로 정규분포를 통한 신뢰도 50%, 70%, 90%에 대한 지반증폭계수를 도출하여 액상화 위험도를 도시하였으며, 이를 지반응답해석을 통해 도시한 LPI 액상화 위험도와 비교하여 가장 유사한 값을 추천하였다. 연구결과 제안된 지반증폭계수가 향후 국내 액상화에 대한 연구와 중진지역의 광역지역 액상화 위험도 작성에 큰 도움이 될 수 있을 것으로 기대한다.

• 대한원격탐사학회지
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• 제5권2호
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• pp.123-131
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• 1989

The inventory maps of landslide deposits show where landsliding has occured in the past, and serve as a general guide to slope stability. Isopleth maps derived from those inventory maps, generalized and quantify the areal distribution of landslide deposits in contour form. Isopleth maps can provide an economical means for the recognition of landslide activity and assessing the degree of landslide hazard in a large area, especially rural areas. Isopleth maps of Bonggye area, where the degree of landslide hamedial efforts during the period of 1954-1971.

• 대한원격탐사학회지
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• 제23권1호
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• pp.21-32
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• 2007

Fire fuel map is one of the most critical factors for planning and managing the fire hazard and risk. However, fuel mapping is extremely difficult because fuel properties vary at spatial scales, change depending on the seasonal situations and are affected by the surrounding environment. Remote sensing has potential to reduce the uncertainty in mapping fuels and offers the best approach for improving our abilities. Especially, Hyperspectral sensor have a great potential for mapping vegetation properties because of their high spectral resolution. The objective of this paper is to evaluate the potential of mapping fuel properties using Hyperion hyperspectral remote sensing data acquired in April, 2002. Fuel properties are divided into four broad categories: 1) fuel moisture, 2) fuel green live biomass, 3) fuel condition and 4) fuel types. Fuel moisture and fuel green biomass were assessed using canopy moisture, derived from the expression of liquid water in the reflectance spectrum of plants. Fuel condition was assessed using endmember fractions from spectral mixture analysis (SMA). Fuel types were classified by fuel models based on the results of SMA. Although Hyperion imagery included a lot of sensor noise and poor performance in liquid water band, the overall results showed that Hyperion imagery have good potential for wildfire fuel mapping.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2005년도 학술발표회(2)
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• pp.1403-1404
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• 2005

• 한국화재소방학회:학술대회논문집
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• 한국화재소방학회 2004년도 하계학술논문발표회 논문집
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• pp.39-46
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• 2004

• 대한원격탐사학회지
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• 제21권5호
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• pp.393-404
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• 2005

As multi-source spatial data fusion mainly deal with various types of spatial data which are specific representations of real world with unequal reliability and incomplete knowledge, proper data representation and uncertainty analysis become more important. In relation to this problem, this paper presents and applies an advanced data representation methodology for different types of spatial data such as categorical and continuous data. To account for the uncertainties of both categorical data and continuous data, fuzzy boundary representation and smoothed kernel density estimation within a fuzzy logic framework are adopted, respectively. To investigate the effects of those data representation on final fusion results, a case study for landslide hazard mapping was carried out on multi-source spatial data sets from Jangheung, Korea. The case study results obtained from the proposed schemes were compared with the results obtained by traditional crisp boundary representation and categorized continuous data representation methods. From the case study results, the proposed scheme showed improved prediction rates than traditional methods and different representation setting resulted in the variation of prediction rates.

• Advances in Computational Design
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• 제4권2호
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• pp.91-118
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• 2019

Every year, many people are severely injured or lose their lives in accidents such as fire, chemical spill, public pandemonium, school shooting, and workplace violence. Research indicates that the fate of people in an emergency situation involving one or more hazards depends not only on the design of the space (e.g., residential building, industrial facility, shopping mall, sports stadium, school, concert hall) in which the incident occurs, but also on a host of other factors including but not limited to (a) occupants' characteristics, (b) level of familiarity with and cognition of the surroundings, and (c) effectiveness of hazard intervention systems. In this paper, we present EVAQ, a simulation framework for modeling large crowd evacuation by taking into account occupants' behaviors and interactions during an emergency. In particular, human's personal (i.e., age, gender, disability) and interpersonal (i.e., group behavior and interactions) attributes are parameterized in a hazard-impacted environment. In addition, different hazard types (e.g., fire, lone wolf attacker) and propagation patterns, as well as intervention schemes (simulating building repellent systems, firefighters, law enforcement) are modeled. Next, the application of EVAQ to crowd egress planning in an airport terminal under human attack, and a shopping mall in fire emergency are presented and results are discussed. Finally, a validation test is performed using real world data from a past building fire incident to assess the reliability and integrity of EVAQ in comparison with existing evacuation modeling tools.