Flood bend flow prediction in intermittent river reach using a 2D hydraulic model and stacking-ensemble-based LSTM technique DOI

Wen‐Dar Guo,

Wei‐Bo Chen,

Chih-Hsin Chang

и другие.

Earth Science Informatics, Год журнала: 2024, Номер 18(1)

Опубликована: Дек. 20, 2024

Язык: Английский

Reconstruction of long-term hourly sea level data for Prince Edward Island, Canada DOI Creative Commons
Tianze Pang, Xiuquan Wang, Muhammad Qasim Mahmood

и другие.

Scientific Data, Год журнала: 2025, Номер 12(1)

Опубликована: Янв. 6, 2025

Regional sea level rise has been regarded a key factor in understanding of climate change impact to coastal communities. As vulnerable island and storm surges, the province Prince Edward Island (PEI) Canada lacks sufficient long-term island-wide historic record data. This become major challenge for further studies on environments adaptation. To overcome this limitation, here we reconstruct hourly dataset using existing records limited permanent tide stations short-term widely-distributed temporary stations. With comprehensive statistical analysis modeling, historical furthest between 1911 2023 are reconstructed with an time step. new significantly extends availability data along shoreline PEI, which can be used assessment hazard adaptation context change.

Язык: Английский

Процитировано

0

Flood bend flow prediction in intermittent river reach using a 2D hydraulic model and stacking-ensemble-based LSTM technique DOI

Wen‐Dar Guo,

Wei‐Bo Chen,

Chih-Hsin Chang

и другие.

Earth Science Informatics, Год журнала: 2024, Номер 18(1)

Опубликована: Дек. 20, 2024

Язык: Английский

Процитировано

0