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Record W4413093318 · doi:10.1051/e3sconf/202563802001

Modelling inflows in Ilarion reservoir, Greece, using HEC-HMS

2025· article· en· W4413093318 on OpenAlexaff
Eliza-Isabela Tică, Florica Popa, Angela Neagoe, Bogdan Popa, Miltiadis Zorbas

Bibliographic record

VenueE3S Web of Conferences · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Watershed Management Studies
Canadian institutionsBC Hydro (Canada)
Fundersnot available
KeywordsEnvironmental scienceReliability (semiconductor)Hydrology (agriculture)Hydrological modellingCascadeResource (disambiguation)Water resourcesComputer scienceGeologyClimatology

Abstract

fetched live from OpenAlex

This study investigates the application of the Hydrologic Modeling System (HEC-HMS) for simulating inflows to the Ilarion Reservoir, the first reservoir in the cascade of five along the Aliakmon River in northern Greece. The model is calibrated using observed meteorological and hydrological data to assess its performance and reliability in reproducing observed flows. Model accuracy is evaluated through statistical indicators such as the Nash-Sutcliffe Efficiency (NSE) and Percent Bias (PBIAS). The results demonstrate a satisfactory agreement between simulated and observed discharge, highlighting the model’s potential as a reliable tool for hydrological forecasting and water resource management in the region.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

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

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 head0.033
GPT teacher head0.261
Teacher spread0.228 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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