• Title/Summary/Keyword: Max. Vulnerability Scenario

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Development of Modular HNS Accident Scenarios (모듈형 HNS 사고 시나리오 개발)

  • Ha, Min-Jae;Lee, Moon-Jin;Lee, Eun-Bang
    • Journal of Navigation and Port Research
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    • v.41 no.3
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    • pp.165-172
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    • 2017
  • Current scenarios for marine spill accidents were developed based on probable maximum spill accidents. However,, accidents of similar scale to maximum spill accidents are virtually non-existent, and training or deployment of response equipment based on these scenarios can be cost prohibitive. Current scenarios require realism for practical use and need to be designed for purpose of use. In this study we developed scenarios that may replace current scenarios by using the HNS accident standard codes based on past accident cases. Scenarios were developed by modularizing the HNS accident standard code, that is classified into three scenarios: Maximum Frequency Scenario, Maximum Damage Scenario, and Maximum Vulnerability Scenario. The situation of an accident presented in each scenario developed in this process is much like a real accident, and therefore, it is has practical application.

Prediction of Acer pictum subsp. mono Distribution using Bioclimatic Predictor Based on SSP Scenario Detailed Data (SSP 시나리오 상세화 자료 기반 생태기후지수를 활용한 고로쇠나무 분포 예측)

  • Kim, Whee-Moon;Kim, Chaeyoung;Cho, Jaepil;Hur, Jina;Song, Wonkyong
    • Ecology and Resilient Infrastructure
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    • v.9 no.3
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    • pp.163-173
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    • 2022
  • Climate change is a key factor that greatly influences changes in the biological seasons and geographical distribution of species. In the ecological field, the BioClimatic predictor (BioClim), which is most related to the physiological characteristics of organisms, is used for vulnerability assessment. However, BioClim values are not provided other than the future period climate average values for each GCM for the Shared Socio-economic Pathways (SSPs) scenario. In this study, BioClim data suitable for domestic conditions was produced using 1 km resolution SSPs scenario detailed data produced by Rural Development Administration, and based on the data, a species distribution model was applied to mainly grow in southern, Gyeongsangbuk-do, Gangwon-do and humid regions. Appropriate habitat distributions were predicted every 30 years for the base years (1981 - 2010) and future years (2011 - 2100) of the Acer pictum subsp. mono. Acer pictum subsp. mono appearance data were collected from a total of 819 points through the national natural environment survey data. In order to improve the performance of the MaxEnt model, the parameters of the model (LQH-1.5) were optimized, and 7 detailed biolicm indices and 5 topographical indices were applied to the MaxEnt model. Drainage, Annual Precipitation (Bio12), and Slope significantly contributed to the distribution of Acer pictum subsp. mono in Korea. As a result of reflecting the growth characteristics that favor moist and fertile soil, the influence of climatic factors was not significant. Accordingly, in the base year, the suitable habitat for a high level of Acer pictum subsp. mono is 3.41% of the area of Korea, and in the near future (2011 - 2040) and far future (2071 - 2100), SSP1-2.6 accounts for 0.01% and 0.02%, gradually decreasing. However, in SSP5-8.5, it was 0.01% and 0.72%, respectively, showing a tendency to decrease in the near future compared to the base year, but to gradually increase toward the far future. This study confirms the future distribution of vegetation that is more easily adapted to climate change, and has significance as a basic study that can be used for future forest restoration of climate change-adapted species.