Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1038/s41467-020-15734-7 |
Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance | |
Li-Chiu Chang; Fi-John Chang; Shun-Nien Yang; Fong-He Tsai; Ting-Hua Chang; Edwin E. Herricks | |
2020-04-24 | |
发表期刊 | Nature
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出版年 | 2020 |
英文摘要 | Typhoons are among the greatest natural hazards along East Asian coasts. Typhoon-related precipitation can produce flooding that is often only predictable a few hours in advance. Here, we present a machine-learning method comparing projected typhoon tracks with past trajectories, then using the information to predict flood hydrographs for a watershed on Taiwan. The hydrographs provide early warning of possible flooding prior to typhoon landfall, and then real-time updates of expected flooding along the typhoon鈥檚 path. The method associates different types of typhoon tracks with landscape topography and runoff data to estimate the water inflow into a reservoir, allowing prediction of flood hydrographs up to two days in advance with continual updates. Modelling involves identifying typhoon track vectors, clustering vectors using a self-organizing map, extracting flow characteristic curves, and predicting flood hydrographs. This machine learning approach can significantly improve existing flood warning systems and provide early warnings to reservoir management. |
领域 | 资源环境 |
URL | 查看原文 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/249508 |
专题 | 资源环境科学 |
推荐引用方式 GB/T 7714 | Li-Chiu Chang,Fi-John Chang,Shun-Nien Yang,et al. Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance[J]. Nature,2020. |
APA | Li-Chiu Chang,Fi-John Chang,Shun-Nien Yang,Fong-He Tsai,Ting-Hua Chang,&Edwin E. Herricks.(2020).Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance.Nature. |
MLA | Li-Chiu Chang,et al."Self-organizing maps of typhoon tracks allow for flood forecasts up to two days in advance".Nature (2020). |
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