Следене
Samuel Beskow
Samuel Beskow
Professor de Hidrologia, Universidade Federal de Pelotas
Потвърден имейл адрес: ufpel.edu.br
Заглавие
Позовавания
Позовавания
Година
Soil erosion prediction in the Grande River Basin, Brazil using distributed modeling
S Beskow, CR Mello, LD Norton, N Curi, MR Viola, JC Avanzi
Catena 79 (1), 49-59, 2009
4582009
Multivariate models for annual rainfall erosivity in Brazil
CR Mello, MR Viola, S Beskow, LD Norton
Geoderma 202, 88-102, 2013
1622013
Simulação hidrológica em uma bacia hidrográfica representativa dos Latossolos na região Alto Rio Grande, MG
MA Andrade, CR Mello, S Beskow
Revista brasileira de engenharia agrícola e ambiental 17, 69-76, 2013
1182013
Multiparameter probability distributions for heavy rainfall modeling in extreme southern Brazil
S Beskow, TL Caldeira, CR de Mello, LC Faria, HAS Guedes
Journal of Hydrology: Regional Studies 4, 123-133, 2015
902015
Impacts of land-use changes on the hydrology of the Grande river basin headwaters, Southeastern Brazil
MR Viola, CR Mello, S Beskow, LD Norton
Water resources management 28, 4537-4550, 2014
742014
Agricultural watershed modeling: a review for hydrology and soil erosion processes
CR Mello, LD Norton, LC Pinto, S Beskow, N Curi
Ciência e Agrotecnologia 40, 7-25, 2016
722016
Modeling the effects of climate change on hydrology and sediment load in a headwater basin in the Brazilian Cerrado biome
VA de Oliveira, CR de Mello, S Beskow, MR Viola, R Srinivasan
Ecological Engineering 133, 20-31, 2019
702019
Performance of a distributed semi-conceptual hydrological model under tropical watershed conditions
S Beskow, CR Mello, LD Norton, AM Da Silva
Catena 86 (3), 160-171, 2011
672011
Modelagem probabilística de eventos de precipitação extrema no estado do Rio Grande do Sul
TL Caldeira, S Beskow, CR Mello, LC Faria, MR Souza, HAS Guedes
Revista Brasileira de Engenharia Agrícola e Ambiental 19, 197-203, 2015
66*2015
Hydrological prediction in a tropical watershed dominated by oxisols using a distributed hydrological model
S Beskow, LD Norton, CR Mello
Water Resources Management 27, 341-363, 2013
632013
Spatial distribution of water erosion risk in a watershed with eucalyptus and Atlantic Forest
JC Avanzi, MLN Silva, N Curi, LD Norton, S Beskow, SG Martins
Ciência e Agrotecnologia 37, 427-434, 2013
612013
Modelagem probabilística de eventos de precipitação extrema no estado do Rio Grande do Sul
TL Caldeira, S Beskow, CR Mello, LC Faria, MR Souza, HAS Guedes
Revista Brasileira de Engenharia Agrícola e Ambiental 19, 197-203, 2015
582015
Rainfall erosivity in South America: Current patterns and future perspectives
NB Riquetti, CR Mello, S Beskow, MR Viola
Science of the Total Environment 724, 138315, 2020
562020
Potential of the LASH model for water resources management in data-scarce basins: a case study of the Fragata River basin, southern Brazil
S Beskow, LC Timm, VEQ Tavares, TL Caldeira, LS Aquino
Hydrological Sciences Journal 61 (14), 2567-2578, 2016
552016
Multi-scale correlations between soil hydraulic properties and associated factors along a Brazilian watershed transect
S Dongli, C Qian, LC Timm, S Beskow, H Wei, TL Caldeira, LM de Oliveira
Geoderma 286, 15-24, 2017
482017
Estimativa do escoamento superficial em uma bacia hidrográfica com base em modelagem dinâmica e distribuída
S Beskow, CR Mello, G Coelho, AM Silva, MR Viola
Revista Brasileira de Ciência do Solo 33, 169-178, 2009
41*2009
Rainfall partitioning measurement and rainfall interception modelling in a tropical semi-deciduous Atlantic forest remnant
JAJ Junior, CR de Mello, JM de Mello, HF Scolforo, S Beskow, J McCarter
Agricultural and Forest Meteorology 275, 170-183, 2019
402019
Application of the Soil and Water Assessment Tool (SWAT) for sediment transport simulation at a headwater watershed in Minas Gerais state, Brazil
DBF Pinto, AM da Silva, S Beskow, CR de Mello, G Coelho
Transactions of the ASABE 56 (2), 697-709, 2013
402013
Applicability of the LASH model for hydrological simulation of the Grande River Basin, Brazil
MR Viola, CR de Mello, S Beskow, LD Norton
Journal of Hydrologic Engineering 18 (12), 1639-1652, 2013
392013
Artificial intelligence techniques coupled with seasonality measures for hydrological regionalization of Q90 under Brazilian conditions
S Beskow, CR de Mello, MM Vargas, LL Corrêa, TL Caldeira, MF Durães, ...
Journal of Hydrology 541, 1406-1419, 2016
352016
Системата не може да изпълни операцията сега. Опитайте отново по-късно.
Статии 1–20