Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Samkele Sikhulile Tfwala"'
Autor:
Samkele Sikhulile Tfwala, 席克懷
104
This study investigates the influence of storm events, termed typhoons in the local region, on sediment dynamics and fluvial morphological changes on a 23 km gravel bed river of Shi‑Wen, southern Taiwan. Floods are prevalent in this region
This study investigates the influence of storm events, termed typhoons in the local region, on sediment dynamics and fluvial morphological changes on a 23 km gravel bed river of Shi‑Wen, southern Taiwan. Floods are prevalent in this region
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/kydnj3
Autor:
Samkele Sikhulile Tfwala, 席克懷
101
Taiwan, because of her location is a flood prone region and is characterized by typhoons and torrential rains, which concentrates during summer-autumn season. These storms bring about two-thirds to three quarters of the annual rainfall amoun
Taiwan, because of her location is a flood prone region and is characterized by typhoons and torrential rains, which concentrates during summer-autumn season. These storms bring about two-thirds to three quarters of the annual rainfall amoun
Externí odkaz:
http://ndltd.ncl.edu.tw/handle/54751104045195130856
Publikováno v:
Water; Volume 14; Issue 24; Pages: 4134
This study proposes a method for predicting the long-term temporal two-dimensional range and depth of flooding in all grid points by using a convolutional neural network (CNN). The deep learning model was trained using a large rainfall dataset obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d6953f308ec818e021fc209a9b762b0b
https://doi.org/10.3390/w14244134
https://doi.org/10.3390/w14244134
Publikováno v:
Water (20734441); Apr2019, Vol. 11 Issue 4, p1-21, 21p, 2 Color Photographs, 7 Charts, 14 Graphs