Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Tsung-Yi Pan"'
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 22, Iss 6, p 549 (2011)
Typhoon Morakot lashed Taiwan and produced copious amounts of precipitation in 2009. From the point view of hydrological statistics, the impact of the precipitation from typhoon Morakot using a frequency analysis can be analyzed and discussed. The fr
Externí odkaz:
https://doaj.org/article/0e881f1f0cba4ec28a18fd0667e678c9
Improvement of Statistical Typhoon Rainfall Forecasting with ANN-Based Southwest Monsoon Enhancement
Autor:
Tsung-Yi Pan, Yi-Ting Yang, Hung-Chi Kuo, Yih-Chi Tan, Jihn-Sung Lai, Tsang-Jung Chang, Cheng-Shang Lee, Kathryn Hua Hsu
Publikováno v:
Terrestrial, Atmospheric and Oceanic Sciences, Vol 22, Iss 6, p 633 (2011)
Typhoon Morakot 2009, with significant southwest monsoon flow, produced a record-breaking rainfall of 2361 mm in 48 hours. This study hopes to improve a statistical typhoon rainfall forecasting method used over the mountain region of Taiwan via an ar
Externí odkaz:
https://doaj.org/article/90fa3472ab6b47e3ba8a8a0ee4a70d39
Autor:
Tsung-Yi Pan, 潘宗毅
93
The purposes of this study are to discuss the system identification of a state space rainfall-runoff model, and to integrate linear dynamic theory with intelligent control theory to develop a state space neural network rainfall-runoff forecas
The purposes of this study are to discuss the system identification of a state space rainfall-runoff model, and to integrate linear dynamic theory with intelligent control theory to develop a state space neural network rainfall-runoff forecas
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/25523719841717192287
In recent years, the impact of climate change and extreme weather has not only expanded the scale of disasters, but also increased the frequency of disasters. In order to reduce the impact of natural disasters on cities, Making Cities Resilient (MCR)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b60f393b223ab8f5f550c8db0078242a
https://doi.org/10.5194/egusphere-egu23-3724
https://doi.org/10.5194/egusphere-egu23-3724
Autor:
Tsung-Yi Pan, Hsin-Mu Tsai, Jen-Sen Liu, Chi-Huang Chen, Wei-Shun Chang, Yan-Hong Zheng, Hung-Chi Kuo
Publikováno v:
Disaster Risk Reduction ISBN: 9789811911927
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::099bfb9d587ca7b001cfa4de82eda3a4
https://doi.org/10.1007/978-981-19-1193-4_9
https://doi.org/10.1007/978-981-19-1193-4_9
Autor:
Chia-Chi Lee, Kuo-Ching Huang, Shih-Yun Kuo, Yong-Jun Lin, Kai-Yuan Ke, Tsung-Yi Pan, Li-Li Tai, Chien-Ke Cheng, Yu-Li Shih, Han-Ting Lai, Bing-Heng Ke
Publikováno v:
International Journal of Disaster Risk Reduction. 77:103046
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::162d96d03e2708e206791212108c5a92
https://doi.org/10.1016/j.ijdrr.2022.103046
https://doi.org/10.1016/j.ijdrr.2022.103046
Publikováno v:
Recurrent Neural Networks
In this chapter, the application of a DLRNN is demonstrated to simulate rainfall-runoff processes and recognize the transition of UHs in hydrology. Although most neural networks are black-box models that lack physical meanings of weights, the DLRNN d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b996a622a6fadc8ad8382f3a19835950
http://www.intechopen.com/articles/show/title/application_of_recurrent_neural_networks_to_rainfall-runoff_processes
http://www.intechopen.com/articles/show/title/application_of_recurrent_neural_networks_to_rainfall-runoff_processes
Publikováno v:
International Journal of Environmental Research and Public Health
Volume 17
Issue 15
International Journal of Environmental Research and Public Health, Vol 17, Iss 5357, p 5357 (2020)
Volume 17
Issue 15
International Journal of Environmental Research and Public Health, Vol 17, Iss 5357, p 5357 (2020)
Large-scaled disaster events had increasingly occurred worldwide due to global and environmental change. Evidently, disaster response cannot rely merely on the public force. In the golden hour of crisis, not only the individuals should learn to react
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2930114c77a65132e37d15718104d106
Publikováno v:
Water
Volume 11
Issue 12
Volume 11
Issue 12
Owing to their short duration and high intensity, flash floods are among the most devastating natural disasters in metropolises. The existing warning tools&mdash
flood potential maps and two-dimensional numerical models&mdash
are disadvanta
flood potential maps and two-dimensional numerical models&mdash
are disadvanta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2dfbf97bba73add8830cef4311f052c4
Publikováno v:
Hydrological Sciences Journal. 59:1335-1352
The generation of reliable quantitative precipitation estimations (QPEs) through use of raingauge and radar data is an important issue. This study investigates the impacts of radar QPEs with different densities of raingauge networks on rainfall–run
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b3adb4f44a4015e19a56fbc9527de4a1
https://doi.org/10.1080/02626667.2014.923969
https://doi.org/10.1080/02626667.2014.923969