Contribution of absorption and scattering to the attenuation of UV and photosynthetically available radiation in Lake Biwa
Bibliographic record
Abstract
Underwater ultraviolet (UV) attenuation is typically modeled using correlative relationships between UV attenuation and dissolved organic carbon (DOC) concentration or colored dissolved organic matter (CDOM) absorption. Our objective was to validate and extend a biogeooptical model of UV penetration that would take into account total absorption as well as scattering by all components of the water column. Diffuse attenuation coefficients, K d (λ), for photosynthetically available radiation (PAR) and UV irradiance were measured using a PUV500 radiometer at 13 stations in Lake Biwa, Japan, in late summer. Absorption, a , and scattering, b , were measured at nine PAR wavelengths using an AC‐9 absorption‐attenuation meter. The average K d (PAR) through the euphotic zone, K dav (PAR), was estimated from the measured inherent optical properties using Kirk's equations derived from Monte Carlo simulations. The modeled K dav (PAR) was strongly correlated with measured K d (PAR) values (r 2 = 0.998), although the model systematically underestimated measured values by ~15%. The relative contribution of absorption and scattering to UV attenuation was evaluated from measurements of the absorption coefficients, an extrapolation of b into the UV, and Kirk's equations. The UV‐absorption coefficients for CDOM and particulate matter were measured spectrophotometrically. There was a close agreement between modeled and measured K d (UV) values (r 2 ~ 0.990). The Lake Biwa data showed that particulate absorption and scattering play significant roles in UV attenuation; on average, absorption by water, CDOM, and particles contributed 1, 66, and 21% respectively to K dav (340), while scattering by particles contributed 11%. At a turbid site (NS9) absorption by water, CDOM, and particles contributed 0.3, 40, and 36% respectively to K dav (340), while scattering contributed the remaining 24%. The model described here integrates the effects of all absorption as well as scattering components and provides a more accurate estimate of underwater UV exposure than previous approaches based on CDOM absorption only.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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; a candidate call from one teacher head, not a consensus.
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".