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Record W2120112635 · doi:10.5339/qfarf.2013.eep-019

Nearshore current and pollutant transport in the island of Crete

2013· article· en· W2120112635 on OpenAlexaff
Ioannis K. Tsanis

Bibliographic record

VenueQatar Foundation Annual Research Forum Volume 2013 Issue 1 · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCoastal and Marine Dynamics
Canadian institutionsMcMaster University
Fundersnot available
KeywordsCurrent (fluid)BathymetryPollutantEnvironmental scienceHydrographyBayHydrology (agriculture)WatershedShoreDigital elevation modelOceanographyGeologyRemote sensing

Abstract

fetched live from OpenAlex

The three dimensional hydrodynamic pollutant transport model IDOR3D was used to simulate the nearshore current structure and pollutant dispersion from various sources. These sources can be municipal or industrial discharges and if are not properly designed will eventually cause environmental problems in the coastal areas. The inflows from sewage treatment plants and creeks affect the current structure within a small distance from the source. Their influence was studied in a high resolution of 100 m model in map sections E1 to E4 (Fig. 1). For the circulation of the northern coasts of Crete were the major urban centers are located, a grid size of 2 km was used. Local meteorological stations provided the wind speed and direction. The bathymetric files and coastlines were obtained from hydrographic digital files and the Digital Bathymetric Model (DBM) produced the gridded data obtained via GIS. Additional information from the Digital Elevation Model (DEM) of Crete with the aid of GIS technology can provide information of point sources discharging at the exit of watersheds in the near shores of the island. Further watershed analysis (hydrological/hydraulic/ pollutant concentration analysis) for rain events provides the pollutographs of ephemeral creeks discharging to the coastal areas that are used as input to IDOR3D. By employing different receiving water conditions (isothermal and stratified) and pollutant source conditions, simulations were performed in the areas E3 to E4 of Fig. 1. The bay in map section E4 was used to simulate the fate of a pollutant discharged over a four-hour period from an ephemeral creek under sea isothermal conditions and a 5m/s NW wind. The environmental impact on the nearshore area and mitigation measures are discussed. The bay in the map region E3 was used to examine the behavior of a contaminant discharged continuously into the bay from a submerged outfall source at two different locations (a) at 10m deep, positioned 250m offshore and (b) at 27 m depth positioned 2 km offshore, with the purpose to analyze the movement of the contaminant with respect to the island and the relative impact to nearshore areas. Concentration time series for a continuous conservative pollutant released with a concentration of 1000ppm into Chania bay under sea isothermal conditions and a 5m/s NW wind for the case (b), are shown in Fig. 2. In the case (a) the contaminant will dispersed between the island and the mainland shallow passage which will potentially cause environmental problems in a highly touristic area. The dilution is less under stratified conditions due to the buoyant forces of the pollutant generated by temperature and density differences, which reduces the amount of mixing due to the contaminant moving quickly to the surface. Complete results from all the cases will be presented in the conference.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.566
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.001

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 head0.024
GPT teacher head0.298
Teacher spread0.274 · 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.

Study designObservational
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
Published2013
Admission routes1
Has abstractyes

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