• Journal of the Society of Disaster Information
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• v.16 no.1
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• pp.21-33
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• 2020

Purpose: The objective of this research is to classify snowfall area types with consideration of past regional snowfall characteristics and times for the effective local snow removal response systems of 229 local government districts. Method: This research first collected snowfall data of South Korea meteorological stations, and classified regional types using successive snowfall time. This research finally produced GIS maps using regional type information of snowfalls by applying GIS analysis methods. Result: This research provides five types of snowfall regions including 'frequent heavy snowfall regions', 'frequent light snowfall regions', 'rare heavy snowfall regions', 'average snowfall regions', and 'rare light snowfall regions' based on analysis results. Conclusion: Results of this research can be used as basic information for regional demand estimations of snow removal equipments, materials, vehicles, and personnel for the efficient snow removal response systems.

• 한국지형공간정보학회:학술대회논문집
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• 2002.11a
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• pp.117-122
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• 2002

Change detection is a useful technology that can be applied to various fields, taking temporal change information with the comparison and analysis among multi-temporal satellite images. Especially, change detection that utilizes high-resolution satellite imagery can be implemented to extract useful change information for many purposes, such as the environmental inspection, the circumstantial analysis of disaster damage, the inspection of illegal building, and the military use, which cannot be achieved by lower middle-resolution satellite imagery. However, because of the special characteristics that result from high-resolution satellite imagery, it cannot use a pixel-based method that is used for low-resolution satellite imagery. Therefore, it must be used a feature-based algorithm based on the geographical and morphological feature. This paper presents the system that builds the change map by digitizing the boundary of the changed object. In this system, we can make the change map using manual or semi-automatic digitizing through the user interface implemented with a floating window that enables to detect the sign of the change, such as the construction or dismantlement, more efficiently.

• Journal of the Korean Geotechnical Society
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• v.37 no.12
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• pp.117-125
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• 2021

The occurrence of ground subsidence and sinkhole in downtown areas, which threatens the safety of citizens, has been frequently reported. Among the various mechanisms of a sinkhole, soil erosion through the damaged part of the sewer pipe was found to be the main cause in Seoul. In this study, a random forest model for predicting the occurrence of sinkholes caused by damaged sewer pipes based on sewage pipe information was trained using the information on the sewage pipe and the locations of the sinkhole occurrence case in Seoul. The random forest model showed excellent performance in the prediction of sinkhole occurrence after the optimization of its hyperparameters. In addition, it was confirmed that the sewage pipe length, elevation above sea level, slope, depth of landfill, and the risk of ground subsidence were affected in the order of sewage pipe information used as input variables. The results of this study are expected to be used as basic data for the preparation of a sinkhole susceptibility map and the establishment of an underground cavity exploration plan and a sewage pipe maintenance plan.

• Spatial Information Research
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• v.22 no.3
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• pp.89-99
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• 2014

The aim of this study is to represent the residential population distribution in Seoul, Korea more precisely through the dasymetric mapping method. Dasymetric mapping can be defined as a mapping method to calculate details from truncated spatial distribution of main statistical data by using ancillary data which is spatial data related to the main data. In this research, there are two types of data used for dasymetric mapping: the population data (2010) based on a output area survey in Seoul as the main data and the building footprint data including register information as ancillary spatial data. Using the binary method, it extracts residential buildings as actual areas where residents do live in. After that, the regression method is used for calculating the weights on population density by considering the building types and their gross floor areas. Finally, it can be reproduced three-dimensional density of residential population and drew a detailed dasymetric map. As a result, this allows to extract a more realistic calculating model of population distribution and draw a more accurate map of population distribution in Seoul. Therefore, this study has an important meaning as a source which can be applied in various researches concerning regional population in the future.

• Proceedings of the Korea Water Resources Association Conference
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• 2006.05a
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• pp.1150-1155
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• 2006

대부분의 도시지역은 불투수면적 비율이 상당히 높은 특징으로 인한 유출용적 및 첨두유출량의 증가와 외수위보다 낮은 지반고의 지형학적 특징으로 인한 내수배제의 불량으로, 저지대의 침수위험도가 상당히 높다. 이러한 이유로, 빈도별 설계홍수량을 산정하여 침수위험지역을 파악하고 관리하는 공간적인 치수관리가 이루어지고 있지만, 효율적인 치수관리를 위해서는 공간적인 측면뿐 아니라, 침수위험지역 내 침수발생의 시간적인 측면도 고려하는 것이 필요하다. 본 연구에서는 침수위험지역 내 내수침수발생에 대하여 공간적.시간적으로 살펴보고, 내수침수발생 위험지역 및 우선관리지역을 선정하였다. 대상유역으로는 안양천 유역에서 대부분의 침수가 발생하는 서울시에 포함된 안양천 하류유역으로 하였다. 서울시에 포함된 안양천 하류지역에서 내수침수발생의 주원인으로는 외수위보다 낮은 지반고와 배수계통의 통수능력 부족으로 나타나고 있어, 이들 지역의 침수위험지역을 파악하기 위해 하도 및 관거의 유출해석에 우수한 SWMM 모형의 EXTRAN block을 이용하여 모의를 실시하고 맨홀이 월류되는 지역을 내수침수 위험지역으로 선정하였다. 각 빈도별 지속시간별 모의결과, 목감천 하류부의 고척 1동, 신월 1동, 화곡 2동, 도림천과 봉천천, 대방천이 만나는 구로동, 대림 1동, 대방동에서 침수가 발생하기 시작하였다. 이들 지역은 또한 10년에서 30년 빈도별 모의에서도 모두 침수위험이 높은 지역으로 선정되어, 우선관리지역으로 선정하였다. 우선관리지역의 선정은 홍수예.경보 측면에서는 주민의 신속한 대피와 같은 홍수대처능력과 치수관리측면에서는 소요되는 자원의 효율적 배분을 기대할 수 있을 것으로 판단된다. 대상으로 홍수범람모의시스템을 구축하여 분석결과를 피해지역주민 및 관련기관 실무자들에게 제공함으로써 시간과 공간에 구애받지 않는 재해관리와 신속한 재해 상황 대처가 가능해 질 것으로 사료된다.는 또 다른 형태의 주제도라고 볼 수 있으며, 이를 구축하기 위해서는 자료변환 및 가공이 필요하다. 즉, 각 상습침수지구에 필요한 지형도는 국립지리원에서 제작된 1:5,000 수치지형도가 있으나 이는 자료가 방대하고 상습침수지구에 필요하지 않은 자료들을 많이 포함하고 있으므로 상습침수지구의 데이터를 인터넷을 통해 서비스하기 위해서는 많은 불필요한 레이어의 삭제, 서비스 속도를 고려한 데이터의 일반화작업, 지도의 축소.확대 등 자료제공 방식에 따른 작업 그리고 가시성을 고려한 심볼 및 색채 디자인 등의 작업이 수반되어야 하며, 이들을 고려한 인터넷용 GIS기본도를 신규 제작한다. 상습침수지구와 관련된 각종 GIS데이타와 각 기관이 보유하고 있는 공공정보 가운데 공간정보와 연계되어야 하는 자료를 인터넷 GIS를 이용하여 효율적으로 관리하기 위해서는 단계별 구축전략이 필요하다. 따라서 본 논문에서는 인터넷 GIS를 이용하여 상습침수구역관련 정보를 검색, 처리 및 분석할 수 있는 상습침수 구역 종합정보화 시스템을 구축토록 하였다.N, 항목에서 보 상류가 높게 나타났으나, 철거되지 않은 검전보나 안양대교보에 비해 그 차이가 크지 않은 것으로 나타났다.의 기상변화가 자발성 기흉 발생에 영향을 미친다고 추론할 수 있었다. 향후 본 연구에서 추론된 기상변화와 기흉 발생과의 인과관계를 확인하고 좀 더 구체화하기 위한 연구가 필요할 것이다.게 이루어질 수 있을 것으로 기대된다.는 초과수익률이 상

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.3
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• pp.66-80
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• 2012

It is necessary to normalize spectral image values derived from multi-temporal satellite data to a common scale in order to apply remote sensing methods for change detection, disaster mapping, crop monitoring and etc. There are two main approaches: absolute radiometric normalization and relative radiometric normalization. This study focuses on the multi-temporal satellite image processing by the use of relative radiometric normalization. Three scenes of KOMPSAT-2 imagery were processed using the Multivariate Alteration Detection(MAD) method, which has a particular advantage of selecting PIFs(Pseudo Invariant Features) automatically by canonical correlation analysis. The scenes were then applied to detect disaster areas over Sendai, Japan, which was hit by a tsunami on 11 March 2011. The case study showed that the automatic extraction of changed areas after the tsunami using relatively normalized satellite data via the MAD method was done within a high accuracy level. In addition, the relative normalization of multi-temporal satellite imagery produced better results to rapidly map disaster-affected areas with an increased confidence level.

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.597-607
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• 2023

Purpose: The Ministry of Employment and Labor has been working hard to ensure the safety of workers due to heavy rain during natural disasters as the responsible ministry in charge of preventing industrial accidents and health problems for workers. Accordingly, the Ministry of Employment and Labor intends to analyze actual cases of responding to heavy rain disasters and suggest ways to improve the response system. Method: An emergency response system implemented to respond to heavy rain disasters with an internal expert group composed of those in charge of disaster work at headquarters, local government offices, and Korea Occupational Safety and Health Agency, and an external expert group composed of professors, consulting representatives, and disaster managers from other ministries. Contents on self-inspection by industry, workplace inspection, use of serious siren, safety management and restoration work guidance were reviewed. Result: First of all, it is necessary to check the regular contact system from time to time, and it is also necessary to prepare and distribute detailed self-checklists for each industry. In addition, it is necessary to check the implementation of self-inspection when inspecting workplaces, and it seems necessary to have measures to increase the readability of information notified through serious disaster sirens. In addition, since safety work is done in the form of a contract, it seems necessary to prepare specific safety guidelines. Conclusion: In order to protect the lives of workers due to seasonal harm and risk factors, unlike the passive coping methods of the past, abnormal weather should not be regarded as an unexpected situation, and it should be actively and preemptively responding beyond the conventional framework.

• Journal of the Korean Association of Geographic Information Studies
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• v.9 no.2
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• pp.11-19
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• 2006

Sewerage is the system that improves the quality of human life and prevents many disasters such as floods. However the investigators in Korea only have been concerned about the sewer system, so the sewage treatment plant stays in the basic level like mapping. For example, only one attribute can be recognized in the linear object. Because of this limitation, it makes difficult to manage the linear attribute regarding to the sewage pipe plan. And it is impossible to control a partial (point type, line type) attribute changes of the linear object. We will therefore present the applicable method for the attribute changes of the linear object like the sewage pipe plans. For this reason, this paper is designed on the basis of Dynamic Segmentation(DS). DS has the advantage of giving the attribute value to the exact place in the linear object. As a result of using DS, the variety environment changes around the sewage pipes are applied to the building sewerage data. This also makes it possible to get a precise estimation for the maximum dirty water amount.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.4
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• pp.189-197
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• 2007

GIS is the tool widely used for the practical solution of spatial problems in every region regardless of the language and ideology. In this paper research trends and tendencies of GIS in North Korea are reviewed compared with those in South Korea. For this purpose, academic publications on GIS in North Korea are surveyed and classified according to main subjects in GIS. Such classification by main subjects of GIS in North Korea are conducted on the basis of the classification of research trends and tendencies of GIS in South Korea. As a result, researches in North Korea are mainly focused upon such fields as geodetic surveying and measurement, map manufacture, atmospheric phenomena, agriculture and disasters, while there are few studies related to such fields as national GIS policy and circulation, GIS education, internet-based GIS, and traffic, to name but a few. Most parts of applied data are based on low and medium resolution image such as meteorological satellite images, Landsat images, and so on. This reflects the low level of the development of GIS DB infrastructure in North Korea.

• Journal of the Society of Disaster Information
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• v.16 no.4
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• pp.682-690
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• 2020

Purpose: This study builds a database by collecting and refining disaster occurrence data and real-time weather and atmospheric data. In conjunction with the public data provided by the API, we propose a service model for the Big Data-based Urban Safety Index. Method: The plan is to provide a way to collect various information related to disaster occurrence by utilizing public data and SNS, and to identify and cope with disaster situations in areas of interest by real-time dashboards. Result: Compared with the prediction model by extracting the characteristics of the local safety index and weather and air relationship by area, the regional safety index in the area of traffic accidents confirmed that there is a significant correlation with weather and atmospheric data. Conclusion: It proposed a system that generates a prediction model for safety index based on machine learning algorithm and displays safety index by sector on a map in areas of interest to users.