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AJUSTES DE S E W DA EQUAÇÃO DE PENMAN EM FUNÇÃO DA MÉDIA ENTRE AS TEMPERATURAS DO PSICRÔMETRO

2002· article· pt· W4249877346 on OpenAlexaff
Nílson Augusto Villa Nova, André Belmont Pereira, Antônio Roberto Pereira

Bibliographic record

VenueIrriga · 2002
Typearticle
Languagept
FieldEnvironmental Science
TopicEnvironmental and biological studies
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPhysicsMathematicsEnvironmental scienceHumanitiesHorticultureArtBiology

Abstract

fetched live from OpenAlex

AJUSTES DE S E W DA EQUAÇÃO DE PENMAN EM FUNÇÃO DA MÉDIA ENTRE AS TEMPERATURAS DO PSICRÔMETRO Nilson Augusto Villa NovaDeptartamento de Ciências Exatas, Escola Superior de Agricultura Luiz de Queiroz,Universiadade de São Paulo,Piracicaba, SP. CP 9, CEP 13418-900. E-mail: navnova@carpa.ciagri.usp.brAndré Belmont PereiraDepto de Ciência do Solo e Engenharia Agrícola, Universiadade Estadual de Ponta Grossa, Ponta Grossa, PR. CEP 84030-900. E-mail: abelmont@uepg.brAntonio Roberto PereiraDeptartamento de Ciências Exatas, Escola Superior de Agricultura Luiz de Queiroz,Universiadade de São Paulo,Piracicaba, SP. CP 9, CEP 13418-900. E-mail: arpereir@carpa.ciagri.usp.br 1 RESUMO A exigência hídrica de plantas cultivadas é dependente de fatores relacionados à planta, ao solo e ao clima. O planejamento da irrigação requer o conhecimento das necessidades hídricas das plantas, sendo uma resposta à demanda evaporativa da atmosfera. Dentre os principais métodos de estimativa da demanda evaporativa, destacam-se aqueles que se utilizam do valor de S, ou seja, a tangente à curva de pressão de saturação em função da temperatura, que compõe o fator de ponderação no efeito da radiação solar sobre a evapotranspiração (W). Propõe-se neste estudo a determinação de S e W em função da média entre as temperaturas do psicrômetro (Tsu), como sugere Monteith (1965), demonstrando-se também quais erros que ocasionam este cálculo quando é feito da maneira usual, ou seja, em função apenas da temperatura de bulbo seco. A metodologia sugerida para os ajustes propostos no cálculo de S revelou diferenças de até 34% em relação aos valores usuais quando estimados em condições de baixa umidade relativa e temperatura do ar mais elevada. UNITERMOS: evapotranspiração, correção do fator S, equação de Penman. VILLA NOVA, N.A.; PEREIRA, A.B.; PEREIRA, A.R. S AND W ADJUSTMENTS OF PENMAN’S EQUATION AS A FUNCTION OF THE AVERAGE TEMPERATURE BETWEEN DRY AND WET BULBS 2 ABSTRACT The crop water requirement depends upon factors related to plant, soil and climate. Irrigation planning requires the knowledge of crop water needs, which is a response to the atmospheric evaporative demand. Among the main estimating methods to calculate the potential demand, those that utilize the value of S, that is, the slope of water vapor saturation pressure, which comprises the weighting factor for the effect of solar radiation on evapotranspiration (W) might be stood out. In the current paper, the determination of S and W as a function of the average temperature between dry and wet bulbs (Tsu), as suggested by Monteith (1965) has been proposed, and a demonstration of errors that were brought about by means of such calculation when it is made by the usual manner, that is, as a function of only the dry bulb temperature, has been presented as well. The suggested methodology for the adjustments proposed on the calculation of S has revealed differences of up to 34% in relation to the usual values when estimated under low relative humidity and higher air temperature conditions. KEYWORDS: evapotranspiration, correction of S factor, Penman’s equation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.034
GPT teacher head0.243
Teacher spread0.209 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2002
Admission routes1
Has abstractyes

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