Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Emerson da Silva Freitas"'
Autor:
Luís Romero Barbosa, Cristiano das Neves Almeida, Victor Hugo Rabelo Coelho, Emerson da Silva Freitas, Carlos de Oliveira Galvão, José Carlos de Araújo
Publikováno v:
Revista Brasileira de Recursos Hídricos, Vol 23 (2018)
ABSTRACT The lack of process-based classification procedures may lead to unrealistic hyetograph design due to complex oscillation of rainfall depths when assimilated at high temporal resolutions. Four consecutive years of sub-hourly rainfall data wer
Externí odkaz:
https://doaj.org/article/314b39abac4d4f70a25c485b84ccbd33
Autor:
Victor Hugo Rabelo Coelho, Emerson da Silva Freitas, Cristiano das Neves Almeida, Yunqing Xuan, Geraldo M. Ramos Filho
Publikováno v:
Natural Hazards. 105:2409-2429
This paper presents an improved method of using threshold of peak rainfall intensity for robust flood/flash flood evaluation and warnings in the state of São Paulo, Brazil. The improvements involve the use of two tolerance levels and the delineating
Autor:
Geraldo Moura Ramos Filho, Victor Hugo Rabelo Coelho, Emerson da Silva Freitas, Yunqing Xuan, Luca Brocca, Cristiano das Neves Almeida
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ef045c446045ce6c8c21898a6257b3f9
https://cronfa.swan.ac.uk/Record/cronfa60091
https://cronfa.swan.ac.uk/Record/cronfa60091
Autor:
Victor Hugo Rabelo Coelho, Cristiano das Neves Almeida, Emerson da Silva Freitas, Abelardo Antônio de Assunção Montenegro, Leidjane Maria Maciel de Oliveira, Suzana Maria Gico Lima Montenegro, Ana Claudia Villar E Luna Gusmão, Bernardo Barbosa da Silva
Publikováno v:
Journal of Hydrology. 548:1-15
Data limitations on groundwater (GW) recharge over large areas are still a challenge for efficient water resource management, especially in semi-arid regions. Thus, this study seeks to integrate hydrological cycle variables from satellite imagery to
Autor:
Emerson da Silva Freitas, Yunqing Xuan, Victor Hugo Rabelo Coelho, Elias A. Santos, Cristiano das Neves Almeida, Luís Romero Barbosa, George J. Huffman, André N. Gadelha, Walter A. Petersen, Carlos de Oliveira Galvão, Geraldo M. Ramos Filho, Davi de Carvalho Diniz Melo
Publikováno v:
Journal of Hydrology. 589:125128
Sub-daily rainfall information is essential for many hydrological applications, but ground-based data availability is still an issue in poorly gauged regions worldwide. Satellite remote sensing missions, such as the Global Precipitation Measurement (
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XL-7/W3, Pp 1447-1452 (2015)
In 2003, a network for hydrology of the semiarid region (REHISA in Portuguese) was created in Brazil. Since then, experimental watersheds in this region has been providing hydrometeorological data collected in automatic stations. However, the spatial
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f231139ae65a660e8d3fca64aa38f099
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/1447/2015/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-7-W3/1447/2015/
Autor:
Emerson da Silva Freitas, Carlos de Oliveira Galvão, Victor Hugo Rabelo Coelho, José Carlos de Araújo, Cristiano das Neves Almeida, Luís Romero Barbosa
Publikováno v:
RBRH v.23 2018
RBRH
Associação Brasileira de Recursos Hídricos (ABRH)
instacron:ABRH
Revista Brasileira de Recursos Hídricos, Vol 23 (2018)
RBRH
Associação Brasileira de Recursos Hídricos (ABRH)
instacron:ABRH
Revista Brasileira de Recursos Hídricos, Vol 23 (2018)
The lack of process-based classification procedures may lead to unrealistic hyetograph design due to complex oscillation of rainfall depths when assimilated at high temporal resolutions. Four consecutive years of sub-hourly rainfall data were assimil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09858ea488af54220d55b8d6bfeca871
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100242
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312018000100242
Autor:
Ramos Filho, Geraldo Moura, Coelho, Victor Hugo Rabelo, Freitas, Emerson da Silva, Xuan, Yunqing, Almeida, Cristiano das Neves
Publikováno v:
Natural Hazards; 2021, Vol. 105 Issue 3, p2409-2429, 21p