• Title/Summary/Keyword: environment and disasters

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Suggestion of Heavy Snow Risk Analysis in Seoul (서울시 폭설위험도 평가방안)

  • Lee, Sukmin;Bae, Yoon-Shin;Park, Jihye
    • International Journal of Highway Engineering
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    • v.16 no.3
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    • pp.59-66
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    • 2014
  • PURPOSES : This study is to suggest heavy snow risk analysis in Seoul. METHODS : Recently, the increase of extreme weather caused by global warming raises the occurrences of unpredictable natural disasters and the loss potential of human disasters by land use facilities accumulation. It is necessary to develop the risk analysis for the natural and human disasters. RESULTS : In this study, heavy snow risk analysis among natural disasters in Seoul was suggested. The spatial unit of risk analysis level was established for the lines and administrative districts. CONCLUSIONS : The risk analysis was performed using risk matrix of disaster occurrence score and disaster damage score. The components affecting the risk disaster analysis by types were analyzed and the application of heavy snow risk analysis was suggested.

An Analysis of the Korean Peninsula Damages Vulnerabilities for a Natural Disaster Mitigation : Focus on Public Facilities Damages (자연재해저감을 위한 한반도 피해 취약성 분석 : 공공시설피해를 중심으로)

  • Park, Jong-Kil;Jung, Woo-Sik;Choi, Hyo-Jin
    • Journal of Environmental Science International
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    • v.17 no.4
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    • pp.413-422
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    • 2008
  • This study aims to find out a state of the damages and vulnerable areas from natural disasters in the Korean peninsula using the prevention meteorological database information made by Park(2007b). Through the correlation analysis between damage elements and total property losses, we investigate the damages of public facilities, which have high correlation coefficient, and the cause of disasters and want to propose the basic information to set up the disaster prevention measures in advance. As a result, because most of the total property losses is the damages of public facilities, we can reduce the damages of natural disasters if we can predict the damages of public facilities or carry out the prevention activities in advance. The most vulnerable area for the natural disasters are Cangwon-do and Gyeongsangnam-do provinces. The vulnerable areas for the damages of public facilities by typhoon are Daegu metropolitan city, Cangwon-do, and Gyeongsangbuk-do provinces. These vulnerable areas will take place more frequently due to the climate change including Gyeongsangnam-do province so that we need to set up the disaster prevention measures and natural disaster mitigation plan. Also, we think that it has effect on reducing the damages of natural disasters to predict the damage scale and strongly perform the prevention activities in advance according to typhoon track and intensity.

A Study on the Inter-Korean Cooperation for Natural Disaster Damage Reduction Using Spatial Information

  • Lee, Sunmin;Song, Taejung;Lee, Moung-Jin
    • Korean Journal of Remote Sensing
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    • v.35 no.1
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    • pp.163-177
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    • 2019
  • As inter-Korean relations progress, the issue of natural disasters which could directly affect the lives of the people in both Koreas, has not yet been discussed. Considering the current status of inter-Korean relations and the ongoing disaster-related damage in North Korea, it is imperative to establish a technical plan at the pan-governmental level to reduce the damage from natural disasters. The purpose of this study is to secure the Korea Peninsula against natural disasters by organizing South Korea's science and technologies related to natural disasters in order to reduce the damage, and to evaluate the applicability of said technologies. The situation of natural disasters in North Korea for 17 years has been summarized and reclassified based on eight types of natural disasters. Technologies related to natural disasters in South Korea were also investigated and reclassified. Based on the data, a priority evaluation was performed and the prioritization of technology application for each natural disaster type in North Korea was calculated through a quadrant analysis. As a result, the three major categories of high-priority technologies were classified as natural disaster monitoring with remote sensing and spatial information technology, construction of research basis and database based on geographic information system (GIS) and integrated management of complex natural disasters.

A Study on Types of Disasters Affecting City Safety (도시안전에 영향을 미치는 재난유형에 관한 연구)

  • Choi, Yun-Cheul
    • Journal of the Architectural Institute of Korea Structure & Construction
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    • v.35 no.6
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    • pp.93-100
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    • 2019
  • Modern society is transforming into an extreme climate environment. This is fatal to humans and ecosystems and is expected to cause large-scale damage. As this spokesman, natural disasters are increasing as this global average temperature rises. Social and economic damage by this tendency is also increasing. In addition, the frequency and scale of social disasters are increasing. Damage to the living area due to the damage of the infrastructure due to the increased reliance on infrastructure has been increasingly enlarged. In this research, various disasters such as natural disasters and social disasters analyze the impact on urban safety. A local autonomous entity K Priority Management Establish a kind of disaster, prepare crisis management manual, and use it as a basic material of education / training.

A Review on Remote Sensing and GIS Applications to Monitor Natural Disasters in Indonesia

  • Hakim, Wahyu Luqmanul;Lee, Chang-Wook
    • Korean Journal of Remote Sensing
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    • v.36 no.6_1
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    • pp.1303-1322
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    • 2020
  • Indonesia is more prone to natural disasters due to its geological condition under the three main plates, making Indonesia experience frequent seismic activity, causing earthquakes, volcanic eruption, and tsunami. Those disasters could lead to other disasters such as landslides, floods, land subsidence, and coastal inundation. Monitoring those disasters could be essential to predict and prevent damage to the environment. We reviewed the application of remote sensing and Geographic Information System (GIS) for detecting natural disasters in the case of Indonesia, based on 43 articles. The remote sensing and GIS method will be focused on InSAR techniques, image classification, and susceptibility mapping. InSAR method has been used to monitor natural disasters affecting the deformation of the earth's surface in Indonesia, such as earthquakes, volcanic activity, and land subsidence. Monitoring landslides in Indonesia using InSAR techniques has not been found in many studies; hence it is crucial to monitor the unstable slope that leads to a landslide. Image classification techniques have been used to monitor pre-and post-natural disasters in Indonesia, such as earthquakes, tsunami, forest fires, and volcano eruptions. It has a lack of studies about the classification of flood damage in Indonesia. However, flood mapping was found in susceptibility maps, as many studies about the landslide susceptibility map in Indonesia have been conducted. However, a land subsidence susceptibility map was the one subject to be studied more to decrease land subsidence damage, considering many reported cases found about land subsidence frequently occur in several cities in Indonesia.

A study of a system for predicting damages of complex disasters considering the damage of major facilities (주요 시설물 피해를 고려한 복합재난 피해 예측 시스템 방안 연구)

  • Lee, Byung-Jin;Lee, Byung-Hoon;Oh, Seung-Hee;Lee, Yong-Tea;Kim, Kyung-Seok
    • Journal of Satellite, Information and Communications
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    • v.12 no.4
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    • pp.18-25
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    • 2017
  • Recently, disasters have become bigger and more complex, and the economic damage has increased due to the increase of urbanization and the concentration of infrastructure. These large complex disasters occur simultaneously in the second and third disasters due to the first single disaster, but the existing disaster management system in Korea is less adaptable because it is divided into natural disasters and social disasters. The cause of the complex disaster is the rapid urbanization of the residential environment caused by the change of the industrial structure, and the threat factors are various and unpredictable in the living environment. Natural disasters are becoming larger and more complex due to climate change due to global warming. Unlike the past, natural disasters are likely to develop into multiple disasters such as urban paralysis. Therefore, this paper considers natural disasters and social disasters in a comprehensive concept in order to overcome limitations of disaster management by existing single factors and manage disasters effectively and rationally. It is expected that it will play a big role in protecting the lives and property of the people through the establishment of a preemptive disaster management framework.

Marine Disasters Prediction System Model Using Marine Environment Monitoring (해양환경 모니터링을 이용한 해양재해 예측 시스템 모델)

  • Park, Sun;Lee, Seong Ro
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.38C no.3
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    • pp.263-270
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    • 2013
  • Recently, the prediction and analysis technology of marine environment are actively being studied since the ocean resources in the world is taken notice. The prediction of marine disaster by automatic collecting marine environment data and analyzing the collected data can contribute to minimized the damages with respect to marine pollution of oil spill and fisheries damage by red tide blooms and marine environment upsets. However the studies of the marine environment monitoring and analysis system are limited in South Korea. In this paper, we study the marine disasters prediction system model to analyze collection marine information of out sea and near sea. This paper proposes the models for the marine disasters prediction system as communication system model, a marine environment data monitoring system model, prediction and analyzing system model, and situations propagation system model. The red tide prediction model and summarizing and analyzing model is proposed for prediction and analyzing system model.

A Study on the Improvement of Legislation on Management of Compound Coastal Disasters (해안가 복합재해 관리를 위한 법률 현황 및 개선방향)

  • Jang, Ahreum;Kim, Sunhwa;Lee, Moonsuk
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.26 no.7
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    • pp.845-857
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    • 2020
  • Compound coastal disasters are a type of natural disaster featuring both internal and external flooding due to rises in sea-level, torrential rains, typhoons, and tsunamis. The, incidence and scale of damage from such disasters is increasing. This aim of this study was to review the current laws and systems managing the phenomenon of the coastal complex disaster, and to derive recommendations for improvements to manage and prevent them. In this study, the Framework Act on the Management of Disasters and Safety, the Countermeasures against Natural Disasters Act, the National Land Planning and Utilization Act, the Coast Management Act, the River Act, and the Sewerage Act were reviewed, with focus on the district-zoning system designated by ministries for the management of natural disasters along the coast. Through a comparison of the purpose and nature of the laws, spatial scope, and management resources, it was judged that it would be desirable to comprehensively manage compound coastal disasters based on the Countermeasures Against Natural Disasters Act. In order to overcome the limitations of the current system and to derive specific measures to improve laws and systems, a questionnaire survey on detailed factors was conducted targeting experts in natural disaster management. The results indicated that it is necessary to improve the current system or introduce a new system for the management of coastal complex disasters, with integrated management of land and sea areas through the installation and operation of integrated decision-making governance by related ministries such as MOIS, MOLIT, MOF, and ME.

Interactive Region Segmentation Method Using Agglomerative Clustering

  • Park, Sanghyun
    • Journal of Advanced Information Technology and Convergence
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    • v.8 no.2
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    • pp.89-99
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    • 2018
  • Due to global warming, various natural disasters such as floods and droughts are increasing. If we can detect the possibility of natural disasters in advance, we can prevent massive damages caused by natural disasters. Recent advances in visual sensor technologies have enabled remote monitoring of a variety of natural environments, including lakes, rivers, and shores. In this paper, we propose a method to segment an image obtained from video sensor networks into regions in order to monitor the environment effectively. In the proposed method, we first partition the image into superpixels and model the connections between superpixels as a graph. Then, initial seeds for each region are set by using the prior information, and the initial seeds are expanded to form regions using agglomerative clustering. Experimental results show that the proposed method extracts the regions from natural environment images easily and accurately.