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2018/10/19 14:00 Dr. Bing-Chen Jhong（Department of Bioenvironmental Systems Engineering, NTU）
Seminar
Poster： ╱ Post date：2018-10-17NCU IHOS Seminar Announcement
Speaker：Dr. Bing-Chen Jhong
Place：S-325, Science Building 1
Abstract：
Title：Climate Risk Assessment and Adaptation: Future Long-Term Planning and Real-Time Disaster Prevention
Speaker：Dr. Bing-Chen Jhong
Department of Bioenvironmental Systems Engineering, NTU
Time：10/19（Fri.）14：00
Place：S-325, Science Building 1
Abstract：
The impacts of climate change are expected to grow more severe over the coming decades. Weather variability and extremes have always existed, and extreme weather events are becoming more frequent and intense. Hence, the investigation of climate risk assessment for future long-term planning and real-time disaster prevention has become a critical issue in climate change adaptation. In this study, a novel climate risk assessing approach, which is a template of risk definition integrating Climate Adaptation Six-Step (CLASS), is firstly proposed to systematically assess the climate risk for future planning. Based on the standard operational procedure, climate-related hazard with the vulnerability and exposure of the protected target is analyzed. An example was conducted to clearly demonstrate the advantage of the proposed approach. Secondly, a real-time inundation forecasting model with typhoon characteristics, integrating Support Vector Machine (SVM) and Multi-Objective Genetic Algorithm (MOGA), is developed as an adaptation tool for disaster prevention. An application was implemented to show the superiority of the proposed forecasting model. The results indicate that the relationship between hazard, exposure and vulnerability of the protected target is clearly investigated by the climate risk template. The climate risk assessing approach can further enable cross-domain integration assessment across different research areas under the same architecture. Moreover, the proposed forecasting model determines optimal input combinations for deceasing the negative impact as increasing forecast lead time. In conclusion, the proposed approaches are expected to be valuable for interdisciplinary climate risk assessment and adaptation.
Keywords: Climate Risk Assessment, Climate Adaptation, Disaster Prevention, Inundation Forecasting, Multi-objective optimization
Last modification time：2018-10-15 AM 10:21
