Transportation of Trace Metals and Major Elements in the Ottawa River, Northwest Ohio
Notice bibliographique
Résumé
Sediments in the lower parts of Ottawa River in Toledo, Ohio have a known history of contamination.Upstream studies have not shown a significant amount of contamination in sediments, but have found some metals present within the fine grained and/or organic material.This contaminated material is easily transported in the suspended load down the Ottawa River.This study addressed transport mechanisms of dissolved and solid phase to determine which was dominate for trace metal and major element concentrations.Filtered and unfiltered water samples were collected from the upper Ottawa River at 3 sites in the Wildwood Preserve Metropark (WW1, WW2, and WW3) and at 2 sites in Secor Metropark (SC2 and SC3).Samples were also collected to determine the total amount of suspended material in the river.Total Suspended Solids (TSS) was analyzed by filtering water samples through coarse, medium, and fine filter paper.Unfiltered water samples were digested following the procedure in EPA method 3105a.All water samples were analyzed for selected major and trace elements using the Inductively Coupled Plasma-Optical Emission Spectrometer (ICP-OES) at Bowling Green State University.Unfiltered sample concentrations were subtracted from filtered sample concentrations to evaluate the solid phase in the suspended load.A Mann-Whitey test of the filtered and unfiltered samples showed there was a significant difference between the two sample types.Discharge was shown as the most significant factor controlling the elemental concentrations through the Principal Component Analysis (PCA) in both the unfiltered and filtered samples.The negative correlations of discharge vs. elemental iii concentrations indicate the influence of groundwater and the positive show the influence of surface water runoff.Discharge was also found to contribute to positive correlations in both the filtered and unfiltered samples for Zn and Sr.The most significant major elements contributing to the variation were Na and Ca found by unfiltered and filtered PCA.The most significant trace metals were Fe and Sr. TSS was found as not a significant factor influencing the elemental concentrations in the PCA.This result is due to the filtering process missing the grain size of 2.5µm to .45µm and grain sizes smaller than 0.45 m.Sources of the elemental concentrations can be anthropological and/or natural.Anthropological sources of overflow from adjacent storm drains could contribute to the concentrations.Natural sources of local soil and bedrock compositions within the watershed and near the metroparks can account for the elemental concentrations.Bowling Green State University.First I would like to thank my advisor, Dr. Roberts, for assisting me on my research and advising me.I also want to thank Dr. Evans and Dr. Gomezdelcampo for answering my questions and guiding me through my thesis.Thanks to those whom have helped
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,002 |
| Études des sciences et des technologies | 0,002 | 0,001 |
| Communication savante | 0,002 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».