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Olavo Pedrollo
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Historical reconstruction of floodplain inundation in the Pantanal (Brazil) using neural networks
I Fantin-Cruz, O Pedrollo, NMR Castro, P Girard, P Zeilhofer, SK Hamilton
Journal of Hydrology 399 (3-4), 376-384, 2011
902011
Effects of a diversion hydropower facility on the hydrological regime of the Correntes River, a tributary to the Pantanal floodplain, Brazil
I Fantin-Cruz, O Pedrollo, P Girard, P Zeilhofer, SK Hamilton
Journal of Hydrology 531, 810-820, 2015
812015
Changes in river water quality caused by a diversion hydropower dam bordering the Pantanal floodplain
I Fantin-Cruz, O Pedrollo, P Girard, P Zeilhofer, SK Hamilton
Hydrobiologia 768, 223-238, 2016
682016
Investigation of the influence of nonoccurrence sampling on landslide susceptibility assessment using Artificial Neural Networks
LV Lucchese, GG de Oliveira, OC Pedrollo
Catena 198, 105067, 2021
532021
Estimate of suspended sediment concentration from monitored data of turbidity and water level using artificial neural networks
V Sari, NM dos Reis Castro, OC Pedrollo
Water resources management 31, 4909-4923, 2017
532017
Incorporating forecasts of rainfall in two hydrologic models used for medium-range streamflow forecasting
JM Bravo, AR Paz, W Collischonn, CB Uvo, OC Pedrollo, SC Chou
Journal of Hydrologic Engineering 14 (5), 435-445, 2009
442009
Simplifying artificial neural network models of river basin behaviour by an automated procedure for input variable selection
GG Oliveira, OC Pedrollo, NMR Castro
Engineering Applications of Artificial Intelligence 40, 47-61, 2015
382015
Mamdani fuzzy inference systems and artificial neural networks for landslide susceptibility mapping
LV Lucchese, GG de Oliveira, OC Pedrollo
Natural Hazards 106 (3), 2381-2405, 2021
352021
Preenchimento de falhas de dados horários de precipitação utilizando redes neurais artificiais
H Depiné, NMR Castro, A Pinheiro, OC Pedrollo
Rbrh: revista brasileira de recursos hídricos. Porto Alegre, RS. Vol. 19, n …, 2014
342014
Attribute selection using correlations and principal components for artificial neural networks employment for landslide susceptibility assessment
LV Lucchese, GG de Oliveira, OC Pedrollo
Environmental monitoring and assessment 192 (2), 129, 2020
252020
Artificial neural networks for estimating soil water retention curve using fitted and measured data
T Moreira de Melo, OC Pedrollo
Applied and Environmental Soil Science 2015, 2015
252015
O desempenho das Redes Neurais Atificiais (RNAs) para simulação hidrológica mensal
GG Oliveira, OC Pedrollo, NMR Castro
Rbrh: revista brasileira de recursos hídricos. Porto Alegre, RS. Vol. 19, n …, 2014
222014
Further development of small hydropower facilities will significantly reduce sediment transport to the Pantanal wetland of Brazil
I Fantin-Cruz, MD De Oliveira, JA Campos, MM De Campos, ...
Frontiers in Environmental Science 8, 577748, 2020
212020
Trends in extreme indices and seasonal analysis of precipitation and temperature in the northwest region of Rio Grande do Sul, Brazil
TM Melo, JAS Louzada, OC Pedrollo
American Journal of Climate Change. Delaware: Scientific Research Publishing …, 2015
202015
Estimation of soil water content in watershed using artificial neural networks
MH Campos de Oliveira, V Sari, NM dos Reis Castro, OC Pedrollo
Hydrological sciences journal 62 (13), 2120-2138, 2017
182017
Zooplankton density prediction in a flood lake (Pantanal–Brazil) using artificial neural networks
I Fantin‐Cruz, O Pedrollo, C Costa Bonecker, D da Motta‐Marques, ...
International Review of Hydrobiology 95 (4‐5), 330-342, 2010
182010
Spatial distribution of fish assemblages along environmental gradients in the temporary ponds of Northern Pantanal, Brazil
KK Tondato, I Fantin-Cruz, OC Pedrollo, YR Súarez
Journal of Limnology 72 (1), 2013
172013
Artificial neural network and fuzzy inference system models for forecasting suspended sediment and turbidity in basins at different scales
LC Teixeira, PP Mariani, OC Pedrollo, NM dos Reis Castro, V Sari
Water Resources Management 34 (11), 3709-3723, 2020
162020
Simulações hidrológicas com diferentes proporções de área controlada na bacia hidrográfica
GG Oliveira, OC Pedrollo, NMR Castro, JM Bravo
Rbrh: revista brasileira de recursos hídricos. Porto Alegre, RS. Vol. 18, n …, 2013
162013
AS INCERTEZAS ASSOCIADAS ÀS CONDIÇÕES CLIMÁTICAS OBTIDAS PELO MODELO ETA CPTEC/HADCM3: AVALIAÇÃO COMPARATIVA ENTRE OS DADOS SIMULADOS E OBSERVADOS DE PRECIPITAÇÃO …
GG Oliveira, OC Pedrollo, NMR Castro
Revista Brasileira de Meteorologia 30, 101-121, 2015
152015
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