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107/09/28 14:00 Dr. Moslem Imani（成功大學測量及空間資訊學系） 演講
演講公告
張貼人：網站管理員 ╱ 公告日期：2018-09-25演 講 公 告
主講人：Dr. Moslem Imani
地點：中央大學科學一館S-325教室
摘要：
講題：Prediction of Sea Level Rise and Adaptation Strategies
主講人：Dr. Moslem Imani
成功大學測量及空間資訊學系
時間：9月28日（星期五）下午2點
地點：中央大學科學一館S-325教室
摘要：
Climate change is one of the major challenges of our time and adds considerable stress to our societies and to the environment. Sea level change is an important consequence of climate change, which occur over a broad range of temporal and spatial scales. Sea level rise significantly affects socioeconomic activities through coastal erosion and inundation of low-lying areas. Rising sea levels also amplify the threat and magnitude of storm surges in coastal areas. The threats will continue to increase over time as sea levels rise and the magnitude of storms increase. To address these issues, the adaptation plan should be developed to prevent damage and losses to infrastructure, resources and homes in future. It is important to develop flexible adaptation plans, rather than relying on a single sea-level rise value or scenario. This is because there is a wide range of possible coastal futures with ongoing sea-level rise, particularly heading into next century. To properly design mitigation and adaptation strategies, an accurate estimate of sea level rise is then required. Water level forecasting is also important for the planning, maintenance and operations of water resources. Computer science and statistics have improved modeling approaches for discovering patterns in water resources time series data. Much effort has been devoted over the past several decades on the development and improvement of time series prediction models. Over the past several decades, considerable effort has been devoted to the development and improvement of time series prediction models using statistical approaches and computer science. Given the stochastic behavior of most natural systems, artificial intelligence techniques, such as artificial neural network, and machine learning techniques, have been developed to model sea level variations and other hydrological parameters. Furthermore, application of reliable sea level datasets such as satellite derived measurements enhance the accuracy and reliability of prediction models and consequently proper water management scenarios.
最後修改時間：2018-09-25 PM 2:16
