2018
DOI: 10.7127/rbai.v12n100672
|View full text |Cite
|
Sign up to set email alerts
|

Precipitação Pluviométrica Mensal E Anual Provável Para O Município De Turiaçu-Ma

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
2
0
1

Year Published

2020
2020
2023
2023

Publication Types

Select...
4

Relationship

0
4

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 4 publications
0
2
0
1
Order By: Relevance
“…The region's climate is classified as tropical with dry winter (Aw) according to the Köppen climate classification, with two well-defined seasons (dry and rainy) and average annual precipitation between 1,000 mm and 1,400 mm (Alvares et al, 2013). Rainy season is between October and April (Passos et al, 2017). The tidal cycle in the study area is semidiurnal and all sampling stations were low intertidal areas subject to approximately the same inundation regime as observed visually.…”
Section: Study Areamentioning
confidence: 90%
“…The region's climate is classified as tropical with dry winter (Aw) according to the Köppen climate classification, with two well-defined seasons (dry and rainy) and average annual precipitation between 1,000 mm and 1,400 mm (Alvares et al, 2013). Rainy season is between October and April (Passos et al, 2017). The tidal cycle in the study area is semidiurnal and all sampling stations were low intertidal areas subject to approximately the same inundation regime as observed visually.…”
Section: Study Areamentioning
confidence: 90%
“…O clima na região é caracterizado como Aw conforme Koppen, apresenta inverno seco com precipitação anual média entre 1.000 mm e 1.400 mm e duas estações bem definidas (seca e chuvosa) (ALVARES et al, 2013). A área de estudo possui estação chuvosa entre outubro a abril (PASSOS et al, 2017).…”
Section: Materiais E Métodosunclassified
“…Thus, the use of the average as a project parameter may lead to its undersizing and, consequently, damage to the farmer (COAN et al, 2014). It is also possible to adopt 90% probability levels of probable monthly precipitation for crops with greater susceptibility to agronomic yield losses due to water stress (PASSOS et al, 2017).…”
Section: Gumbel For Maximus Fréchet Gamamentioning
confidence: 99%