Documentos de Rosso M. | REDI

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Mostrando 7 resultados de: 7

Filtros aplicados

Área de conocimiento: "Hidrología"

Subtipo de publicación

Publisher

Water (Switzerland)(5)

ISPRS International Journal of Geo-Information(1)

Sustainability (Switzerland)(1)

Área temáticas

Geología, hidrología, meteorología(5)

Otros problemas y servicios sociales(5)

Ingeniería sanitaria(3)

Geología económica(2)

Economía de la tierra y la energía(1)

Área de conocimiento

Ciencia ambiental(2)

Ingeniería civil(1)

Simulación por computadora(1)

Año de Publicación

Origen

Palabras Claves

Middle Niger river basin(5)

early warning system(5)

Community and impact based early warning system for flood risk preparedness: The experience of the Sirba river in Niger

Abstract: Floods have recently become a major hazard in West Africa (WA) in terms of both their magnitude and

Palabras claves:

Early warning, Flood risk, hydrology, Local communities, Niger river basin, rural development, Sahel

A. Pezzoli, De Filippis T., Ibrahim M.H., Katiellou G.L., Marchi V., Massazza G., Rapisardi E., Rocchi L., Rosso M., Tamagnone P., Tarchiani V., Tiepolo M.

Flood hazard scenarios of the Sirba River (Niger): Evaluation of the hazard thresholds and flooding areas

Abstract: In Sahelian countries, a vast number of people are still affected every year by flood despite the ef

Palabras claves:

early warning system, flood hazard, Hazard threshold, HEC-RAS, Hydraulic numerical model, MiddleNiger River Basin, non-Stationarity, Rating curves, Sahel, Sirba River

A. Pezzoli, Belcore E., Ibrahim M.H., Massazza G., Panthou G., Rosso M., Tamagnone P., Tarchiani V., Tiepolo M., Vischel T., Wilcox C.

Downscaling regional hydrological forecast for operational use in local early warning: Hype models in the sirba river

Abstract: In the last decades since the dramatic increase in flood frequency and magnitude, floods have become

Palabras claves:

early warning system, Flood alert, Floods, Hydrological model, HYPE, Middle Niger river basin, Model Evaluation, Optimization, Sirba River, SLAPIS

A. Pezzoli, Ali A., Andersson J.C.M., De Filippis T., Gustafsson D., Ibrahim M.H., Massazza G., Minoungou B., Rocchi L., Rosso M., Tarchiani V.

Hydrological Web Services for Operational Flood Risk Monitoring and Forecasting at Local Scale in Niger

Abstract: Emerging hydrological services provide stakeholders and political authorities with useful and reliab

Palabras claves:

early warning system, Flood alert, Floods, Hydrological model, interoperability, Middle Niger river basin, Sirba River, SLAPIS, WEB SERVICES

A. Pezzoli, De Filippis T., Ibrahim M.H., Massazza G., Rocchi L., Rosso M., Tarchiani V.

Hydrological model application in the Sirba river: Early warning system and GloFAS improvements

Abstract: In the last decades, the Sahelian area was hit by an increase of flood events, both in frequency and

Palabras claves:

early warning system, flood forecasting, Floods, GloFAS, Middle Niger river basin, Model optimization, Model verification

A. Pezzoli, Bigi V., Massazza G., Passerotti G., Rosso M., Zsótér E.

Hydrology of the Sirba River: Updating and analysis of discharge time series

Abstract: The Sahelian regions are affected by an increasing number of catastrophic floods in recent years as

Palabras claves:

Discharge time series, Floods, Middle Niger river basin, Rating curves, Sahel, Sirba River

A. Pezzoli, Massazza G., Rosso M., Tamagnone P.

Recent changes in hydroclimatic patterns over medium Niger river basins at the origin of the 2020 flood in Niamey (Niger)

Abstract: Niamey, the capital of Niger, is particularly prone to floods, since it is on the banks of the Niger

Palabras claves:

CHIRPS, early warning system, Flood risk, Floods, Hazard thresholds, Levees, Middle Niger river basin, Niamey, Rating curves, Runoff coefficients, Sahel, TerraClimate

A. Pezzoli, Bacci M., Burrone S., De Filippis T., Descroix L., Fiorillo E., Ibrahim M.H., Katiellou G.L., Massazza G., Panthou G., Rocchi L., Rosso M., Sauzedde E., Tarchiani V., Terenziani A., Tiepolo M., Vischel T.