Balanço Hídrico e Mudanças Climáticas no Semiárido Pernambucano: aplicabilidade do Sistema de Unidades de Respostas Hidrológicas para Pernambuco (SUPer)
Bibliographic record
Abstract
Os cenários de mudanças climáticas se mostram cada vez mais severos, e se apresentam ainda mais intensos para regiões como o semiárido nordestino. O presente estudo buscou analisar os cenários de mudanças climáticas e seus impactos em uma pequena bacia hidrográfica no semiárido pernambucano. Os cenários de alterações na precipitação e temperatura foram simulados utilizando Sistema de Unidades de Respostas Hidrológicas para Pernambuco (SUPer) que conta com um gerador climático que permite simular mudanças climáticas dentro de uma série histórica, os dados dentro do sistema SUPer foram gerados através do modelo SWAT-Soil Water Assessement Tools. Os dados obtidos para os cenários apontam para uma redução significativa na disponibilidade hídrica na bacia, com redução do fluxo de base e aumento da perda por evapotranspiração em todos os nove cenários analisados, o que é um grande impacto, pois trata-se de uma região onde já há um déficit hídrico.Palavras-chave: Balanço hídrico, Mudanças climáticas, Semiárido. Water Balance and Climate Change in the Semiarid region of Pernambuco: applicability of the System of Hydrological Response Units for Pernambuco (SUPer) A B S T R A C TClimate change scenarios are increasingly severe, and are even more intense for regions such as the semi-arid northeast. This study aimed to analyze the scenarios of climate change and its impacts in a small watershed in the semi-arid region of Pernambuco. The scenarios of changes in precipitation and temperature were simulated using Hydrological Response Units System for Pernambuco (super) which has a climate generator that allows to simulate climate change within a historical series, data within the super system was generated through the SWAT--Soil Water Assessement Tools. The data obtained for the scenarios point to a significant reduction in water availability in the basin, with reduction of the base flow and increase of the loss by evapotranspiration in all nine scenarios analyzed, which is a great impact, region where there is already a water deficit.Keywords: Water balance, Climate change, Semi-arid.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.014 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
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".