Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dina Pirone"'
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 52, Iss , Pp 101676- (2024)
Study region: The study considers synthetic river catchments representative of Mediterranean regions, with high impervious coverage and real rainfall time series. Study focus: Stormwater studies often require rapid procedures to estimate which reserv
Externí odkaz:
https://doaj.org/article/99c9d42382694c7da4a24a680d027d52
Autor:
Filippo Balestra, Michele Del Vecchio, Dina Pirone, Maria Antonia Pedone, Danilo Spina, Salvatore Manfreda, Giovanni Menduni, Daniele Fabrizio Bignami
Publikováno v:
Environmental Sciences Proceedings, Vol 21, Iss 1, p 36 (2022)
This study suggests a rapid methodology to delineate areas prone to flood using machine learning techniques. Based on available historically flooded areas, the model employs and combines globally collectible and reproducible conditioning factors to a
Externí odkaz:
https://doaj.org/article/e6f7082d5d5540e5bf26048a4ebf2713
Publikováno v:
Environmental Sciences Proceedings, Vol 21, Iss 1, p 49 (2022)
During emergency situations, short-term rainfall forecasting is crucial for human life-saving and economic damage mitigation. However, due to the high interconnection among the meteorological variables, the rainfall evolution mechanism is challenging
Externí odkaz:
https://doaj.org/article/902bf241d01e4c8a9de04e6452cecb61
On 26 November 2022, an extreme rainfall event occurred over Ischia Island (Italy). It triggered a mudflow that swept over Casamicciola Terme town and caused 12 victims. Based on available rainfall data from 4 rain-gauge stations over the island, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1d44d08af367c1adac3309e06281c16
https://doi.org/10.5194/egusphere-egu23-14545
https://doi.org/10.5194/egusphere-egu23-14545
Rainfall nowcasting supports emergency decision-making in hydrological, agricultural, and economical sectors. However, short-term prediction is challenging because meteorological variables are strongly interconnected and rapidly change during an even
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dad0f82f80492d125d82ac95209f9010
https://hdl.handle.net/11588/908118
https://hdl.handle.net/11588/908118
Autor:
Michele Del Vecchio, Filippo Balestra, Maria Antonia Pedone, Dina Pirone, Danilo Spina, Salvatore Manfreda, Giovanni Menduni
In Italy, flood hazard maps are traditionally obtained through hydrologic-hydraulic modelling. In fact, numerical simulations are usually limited to the main river or specific tributaries leaving a significant part of the territory unclassified. Ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68433bf15c61db51f6e9cc84250c9718
https://doi.org/10.5194/egusphere-egu22-12328
https://doi.org/10.5194/egusphere-egu22-12328