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Profil bibliographique

Naziano Filizola

Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.

156Publications signalées
5691Citations signalées
1Affiliations récentes

Les institutions déclarées

Les domaines associés

Fish biology, ecology, and behaviorHydrology and Sediment Transport ProcessesSoil erosion and sediment transportHydrology and Watershed Management StudiesFlood Risk Assessment and Management

Les publications récentes

Accès ouvert 2026 article OpenAlex

Modification of the Madeira River morphology following large hydropower projects detected by satellite data

Matheus Silveira de Queiroz, Rogério Ribeiro Marinho, Paulo Rodrigo Zanin, Andre Luis Martinelli Real dos Santos et autres

Abstract Estimating suspended sediment concentration (SSC) in river channels is essential for understanding hydro‐sedimentological processes, managing water quality, and conserving aquatic ecosystems. This study evaluated different empirical equations to estimate SSC in the lower Madeira River and analyzed its hydro‐sedimentary dynamics based …

br, pe, fr (code pays fourni par la source)

0 citations River
Accès ouvert 2026 article OpenAlex

Hydrosedimentary Dynamics in the Confluence of the Beni and Mamoré Rivers

Ednaldo Bras Severo, Rogerio Ribeiro Marinho, Jean‐Michel Martinez, Naziano Filizola et autres

This study analyzed hydrosedimentary dynamics at the confluence of the Beni and Mamoré rivers, the two main source rivers of the Madeira River, the largest tributary of the Amazon River. Thirteen field campaigns were conducted between March 2021 and April 2022 at …

br, es, Congo, fr, Maroc (code pays fourni par la source)

0 citations Revista Brasileira de Geomorfologia
2026 article OpenAlex

Hydrological modelling using multiple Gaussians: application to Negro River Basin

Carlos F. O. Mendes, Cíntia L. Eleutério, Naziano Filizola, Walter T. Strunz et autres

We model water level data from hydrometric stations in the Negro River basin using multiple Gaussian distributions. To characterize hydrological seasonality, we apply statistical and unsupervised learning techniques to analyse the time series. Gaussian fitting reproduces key hydrological patterns, capturing seasonal variability …

br, de (code pays fourni par la source)

0 citations Hydrological Sciences Journal
Accès ouvert 2026 article OpenAlex

CNN-Based Subnetworks for Improved Modelling of Extreme Flood and Drought Events in the Negro River Basin

Cíntia L. Eleutério, Carlos F. O. Mendes, Marcus W. Beims, Mircea Galiceanu et autres

Abstract We propose a novel multi-output convolutional neural network (CNN) framework with station-specific subnets to model and analyze historical low- and high-river stages in the Negro River basin, located in northern South America. The basin is largely covered by tropical forest and …

br (code pays fourni par la source)

0 citations Earth Systems and Environment
Accès ouvert 2025 article OpenAlex

Extreme warming of Amazon waters in a changing climate

Ayan Santos Fleischmann, Fabrice Papa, Stephen K. Hamilton, John M. Mélack et autres

In 2023, an unprecedented drought and heat wave severely affected Amazon waters, leading to high mortality of fishes and river dolphins. Five of 10 lakes monitored had exceptionally high daytime water temperatures (over 37°C), with one large lake reaching up to 41°C …

br, fr, us, ca (code pays fourni par la source)

28 citations Science
2025 article OpenAlex

Paleoenvironmental changes in a lower Rio Negro floodplain lake (Anavilhanas Archipelago, Brazil) during the past 4550 years

Renato Campello Cordeiro, Caroline Rocha Maia, Luciane Silva Moreira, Bruno Turcq et autres

This study investigates Holocene climate variability and its influence on organic carbon accumulation patterns in the Anavilhanas Archipelago, Rio Negro, Brazilian Amazon. We analyzed a 404 cm sediment core from a floodplain lake to reconstruct paleoenvironmental changes and carbon storage dynamics over …

br, fr, Bénin, Congo, au, by (code pays fourni par la source)

6 citations The Holocene
2024 article OpenAlex

Identifying wildfires with convolutional neural networks and remote sensing: application to Amazon Rainforest

Cíntia L. Eleutério, Naziano Filizola, Alderlene Pimentel de Brito, Mircea Galiceanu et autres

We employ a Convolutional Neural Network (CNN) to classify areas affected by wildfires in the Amazon Rainforest. We focus on areas of the state of Amazonas (Brazil), which accounts for a significant portion of Brazil’s wildfires and which in recent years have …

br (code pays fourni par la source)

5 citations International Journal of Remote Sensing
2024 article OpenAlex

Development and evaluation of hydraulic geometry relationships for large Brazilian river basins

Clívia Dias Coelho, Demétrius David da Silva, Michel Castro Moreira, Naziano Filizola

River cross-section characteristics are not available for many regions of the world, and they are generally expressed as hydraulic geometry (HG) relationships. These relationships usually represent average characteristics of a region, which can generate biased estimates in smaller basins. Therefore, to improve …

br (code pays fourni par la source)

0 citations Hydrological Sciences Journal

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