Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Yaoxing Liao"'
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102904- (2024)
Convolutional neural networks (CNNs) and long short-term memory networks (LSTMs) are popular deep learning architectures currently used for rapid flood simulations. However, deep learning algorithms are difficult to explain, like a “black box” th
Externí odkaz:
https://doaj.org/article/207cea7f6b574a86aa6ef28de67720c2
Publikováno v:
International Journal of Disaster Risk Science, Vol 14, Iss 2, Pp 253-268 (2023)
Abstract Fast and accurate prediction of urban flood is of considerable practical importance to mitigate the effects of frequent flood disasters in advance. To improve urban flood prediction efficiency and accuracy, we proposed a framework for fast m
Externí odkaz:
https://doaj.org/article/04b3ea11b6c24cf58a9e15d36a68f18f
Publikováno v:
Frontiers of Chinese Water Sciences. 1:1-16
The frequent occurrence of urban waterlogging disasters induced by rainstorm has recently caused serious economic losses and casualties in China. Numerical simulation of waterlogging is an important tool for disaster prewarning and forecasting as wel
Publikováno v:
Climate Research. 82:161-176
Sunshine duration (SD) has recently received a great deal of attention as it relates to climatic research under global climate change. Here, we explored the spatiotemporal variability of SD in the Pearl River Delta (PRD) in mainland China during 1960
Publikováno v:
International Journal of Climatology. 40:6282-6300