• Title/Summary/Keyword: Disaster resources

Search Result 887, Processing Time 0.034 seconds

Development of Flood Control Index to evaluate National Safety from Flood Disaster (국가치수안전도 평가를 위한 치수지표의 개발)

  • Lee, Joo-Heon;Cho, Dong-Jin;Park, Doo-Ho;Choi, Dong-Jin;Park, Sung-Je
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2009.05a
    • /
    • pp.1748-1753
    • /
    • 2009
  • 전 세계에 걸쳐서 급격하게 일어나고 있는 기후변화로 인하여 최근의 홍수발생 빈도나 규모는 과거와 다른 형태를 보이고 있으며, 우리나라는 좁은 홍수범람지역에 인구와 자산이 과도하게 집중되면서 홍수피해 양상은 크게 변하여 홍수피해액이 기하급수적으로 늘어나고 있다. 이에 따라 치수지표의 개발을 통하여 재해피해 규모를 정량화하고, 치수안전도를 평가하고자 한다.

  • PDF

The Analysis of Routes and Construction Technologies in the Korean Grand Waterway (경부운하의 노선분석과 건설기술)

  • Jeong, Dong-Seok
    • Journal of the Korean Professional Engineers Association
    • /
    • v.41 no.2
    • /
    • pp.51-58
    • /
    • 2008
  • In this paper is described "the water resources policy, a new paradigm of water resources control. the characteristic of rainfall in Korea and the compatibility of a new water routes opening in natural river". Also the construction of the Korean grand waterway in the view of disaster prevention, flood control, irrigation and environment-friendly transportation is needed eventually. And I detail a routes of Korean grand waterway, using of a flood gate, supply of irrigation water. cruse duration, activating under developed region and economic efficiency.

  • PDF

Estimating global solar radiation using wavelet and data driven techniques

  • Kim, Sungwon;Seo, Youngmin
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2015.05a
    • /
    • pp.475-478
    • /
    • 2015
  • The objective of this study is to apply a hybrid model for estimating solar radiation and investigate their accuracy. A hybrid model is wavelet-based support vector machines (WSVMs). Wavelet decomposition is employed to decompose the solar radiation time series into approximation and detail components. These decomposed time series are then used as inputs of support vector machines (SVMs) modules in the WSVMs model. Results obtained indicate that WSVMs can successfully be used for the estimation of daily global solar radiation at Champaign and Springfield stations in Illinois.

  • PDF

Estimating Worst Case Flood and Inundation Damages under Climate Change

  • Kim, Sunmin;Tachikawa, Yasuto;Nakakita, Eiichi
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2016.05a
    • /
    • pp.189-189
    • /
    • 2016
  • To generate information that contributes to climate change risk management, it is important to perform a precise assessment on the impact in diverse aspects. Considering this academic necessity, Japanese government launched continuous research project for the climate change impact assessment, and one of the representative project is Program for Risk Information on Climate Change (Sousei Program), Theme D; Precise Impact Assessment on Climate Change (FY2012 ~ FY2016). In this research program, quantitative impact assessments have been doing from a variety of perspectives including natural hazards, water resources, and ecosystems and biodiversity. Especially for the natural hazards aspect, a comprehensive impact assessment has been carried out with the worst-case scenario of typhoons, which cause the most serious weather-related damage in Japan, concerning the frequency and scale of the typhoons as well as accompanying disasters by heavy rainfall, strong winds, high tides, high waves, and landslides. In this presentation, a framework of comprehensive impact assessment with the worst-case scenario under the climate change condition is introduced based on a case study of Theme D in Sousei program There are approx. 25 typhoons annually and around 10 of those approach or make landfall in Japan. The number of typhoons may not change increase in the future, but it is known that a small alteration in the path of a typhoon can have an extremely large impact on the amount of rain and wind Japan receives, and as a result, cause immense damage. Specifically, it is important to assess the impact of a complex disaster including precipitation, strong winds, river overflows, and high tide inundation, simulating how different the damage of Isewan Typhoon (T5915) in 1959 would have been if the typhoon had taken a different path, or how powerful or how much damage it would cause if Isewan Typhoon occurs again in the future when the sea surface water temperature has risen due to climate changes (Pseudo global warming experiment). The research group also predict and assess how the frequency of "100-years return period" disasters and worst-case damage will change in the coming century. As a final goal in this research activity, the natural disaster impact assessment will extend not only Japan but also major rivers in Southeast Asia, with a special focus on floods and inundations.

  • PDF

Evaluation of Disaster Resilience Scorecard for the UN International Safety City Certification of Incheon Metropolitan City (인천시 UN 국제안전도시 인증을 위한 재난 복원력 스코어카드 평가)

  • Kim, Yong-Moon;Lee, Tae-Shik
    • Journal of Korean Society of Disaster and Security
    • /
    • v.13 no.1
    • /
    • pp.59-75
    • /
    • 2020
  • This study is a case study that applied 'UNDRR's Urban Disaster Resilience Scorecard', an evaluation tool necessary for Incheon Metropolitan City to be certified as an international safe city. I would like to present an example that the results derived from this scorecard contributed to the Incheon Metropolitan City Disaster Reduction Plan. Of course, the Disaster Resilience Scorecard can't provide a way to improve the resilience of every disaster facing the city. However, it is to find the weakness of the resilience that the city faces, and to propose a solution to reduce the city's disaster risk. This is to help practitioners to recognize the disaster risks that Incheon Metropolitan City faces. In addition, the solution recommended by UNDRR was suggested to provide resilience in areas vulnerable to disasters. It was confirmed that this process can contribute to improving the disaster resilience of Incheon Metropolitan City. UNDRR has been spreading 'Climate Change, Disaster-resistant City Creation Campaign', aka MCR (Making Cities Resilient) Campaign, to cities all over the world since 2010 to reduce global cities' disasters. By applying the disaster relief guidelines adopted by UNDRR, governments, local governments, and neighboring cities are encouraged to collaborate. As a result of this study, Incheon Metropolitan city's UN Urban Resilience Scorecard was evaluated as a strong resilience field by obtaining scores of 4 or more (4.3~5.0) in 5 of 10 essentials; 1. Prepare organization for disaster resilience and prepare for implementation, 4. Strong resilience Urban development and design pursuit, 5. Preservation of natural cushions to enhance the protection provided by natural ecosystems, 9. Ensure effective disaster preparedness and response, 10. Rapid restoration and better reconstruction. On the other hand, in the other five fields, scores of less than 4 (3.20~3.85) were obtained and evaluated as weak resilience field; 2. Analyze, understand and utilize current and future risk scenarios, 3. Strengthen financial capacity for resilience, 6. Strengthen institutional capacity for resilience, 7. Understanding and strengthening social competence for resilience, 8. Strengthen resilience of infrastructure. In addition, through this study, the risk factors faced by Incheon Metropolitan City could be identified by priority, resilience improvement measures to minimize disaster risks, urban safety-based urban development plans, available disaster reduction resources, and integrated disasters. Measures were prepared.

Comparison of physics-based and data-driven models for streamflow simulation of the Mekong river (메콩강 유출모의를 위한 물리적 및 데이터 기반 모형의 비교·분석)

  • Lee, Giha;Jung, Sungho;Lee, Daeeop
    • Journal of Korea Water Resources Association
    • /
    • v.51 no.6
    • /
    • pp.503-514
    • /
    • 2018
  • In recent, the hydrological regime of the Mekong river is changing drastically due to climate change and haphazard watershed development including dam construction. Information of hydrologic feature like streamflow of the Mekong river are required for water disaster prevention and sustainable water resources development in the river sharing countries. In this study, runoff simulations at the Kratie station of the lower Mekong river are performed using SWAT (Soil and Water Assessment Tool), a physics-based hydrologic model, and LSTM (Long Short-Term Memory), a data-driven deep learning algorithm. The SWAT model was set up based on globally-available database (topography: HydroSHED, landuse: GLCF-MODIS, soil: FAO-Soil map, rainfall: APHRODITE, etc) and then simulated daily discharge from 2003 to 2007. The LSTM was built using deep learning open-source library TensorFlow and the deep-layer neural networks of the LSTM were trained based merely on daily water level data of 10 upper stations of the Kratie during two periods: 2000~2002 and 2008~2014. Then, LSTM simulated daily discharge for 2003~2007 as in SWAT model. The simulation results show that Nash-Sutcliffe Efficiency (NSE) of each model were calculated at 0.9(SWAT) and 0.99(LSTM), respectively. In order to simply simulate hydrological time series of ungauged large watersheds, data-driven model like the LSTM method is more applicable than the physics-based hydrological model having complexity due to various database pressure because it is able to memorize the preceding time series sequences and reflect them to prediction.

Assessment Instruments for Disaster Behavioral Health (재난정신건강 평가도구)

  • Park, Joo Eon;Kang, Suk-Hoon;Won, Sung-Doo;Roh, Daeyoung;Kim, Won-Hyoung
    • Anxiety and mood
    • /
    • v.11 no.2
    • /
    • pp.91-105
    • /
    • 2015
  • Objectives : After disaster, some people develop posttraumatic stress sequelae such as posttraumatic stress disorder (PTSD), major depression, substance use disorders, and suicide. To date, numerous screening and assessment tools for behavioral health issues including mental health problems, psychosocial maladjustment and status of recovery after disaster have been developed. In this condition, one of important topics is to choose instruments that can quickly and accurately measure the issues. Methods : This article reviewed several self-reported scales in adults for disaster behavioral health, which were searched using academic search engines like PubMed, Scopus, KoreaMed and KISS from the earliest available date of indexing through January 31, 2015. Results : More than 40 eligible instruments evaluating the disaster behavioral health issues containing posttraumatic stress sequelae, psychological and social resources, non-disaster stress, and general functions were presented in terms of availability, effectiveness, and expeditiousness. Also, we introduced basic frame aiming on practical usage, which includes standard version and brief version of the instruments for disaster behavioral health. Conclusion : We suggest the accessibility and the applicability of assessment instruments for disaster behavioral health. The systemic review of this article will provide further directions for them.

Development of Algorithm for Analyzing Priority Area of Forest Fire Surveillance Using Viewshed Analysis (가시권 분석을 이용한 산불감시 우선지역 선정 방안)

  • Lee, Byung-Doo;Ryu, Gye-Sun;Kim, Sun-Young;Kim, Kyong-Ha;Lee, Myung-Boa
    • Journal of the Korean Association of Geographic Information Studies
    • /
    • v.14 no.3
    • /
    • pp.126-135
    • /
    • 2011
  • In this study, the algorithm for priority area of forest fire surveillance was developed to enhance the effectiveness of fire detection. The high priority surveillance area for forest fire detection was defined as the area with not only low value of viewshed analysis of the lookouts and detection cameras but also high fire occurrence probability. To build the priority map, fuzzy function and map algebra were used. The analysis results of Bonghwa-gun, Gyeongbuk Province, showed that the surveillance priority of central and southern area is higher than north area. This algorithm could be used in the allocation of fire prevention resources and selection of suitable point for new fire detection system.

A Study on Classification of Disaster Risk Rating for Forest Road Using AHP Methodology (AHP기법을 활용한 임도의 재해위험 등급 구분에 관한 연구)

  • Bang, Hong-Seok;Kweon, Hyeong-Keun;Lee, Joon-Woo;Kim, Myeong-Jun
    • Journal of Korean Society of Forest Science
    • /
    • v.103 no.2
    • /
    • pp.258-263
    • /
    • 2014
  • The purpose of this study is to provide basic data for forest roads management by using AHP methodology to group the grade of disaster risk. In addition to this, a field study was performed at 114 targeted points on forest roads where there are high risks of disaster occurrence. The results of the field survey and the analysis of AHP were compared to provide the degree of disaster risks. It shows that the drainage facilities occupied the highest weighted value. Meanwhile, based on AHP analysis data, evaluation chart was created by providing evaluation criteria and evaluation score to each evaluation items. As a result of applying the evaluation chart to the field survey data, the highest score was 78.8 and the lowest score was 42.7 with the mean score of 61.8. Finally, through the experts' consultation based on calculated scores, this study proposed four different groups of disaster risk on forest roads.