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Enregistrement W6978370893 · doi:10.7939/r3-4c8r-a922

Road Erosion, Sediment Delivery, and Consequence in the Simonette Watershed West-Central Alberta

2022· dissertation· en· W6978370893 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Alberta Library · 2022
Typedissertation
Langueen
DomaineComputer Science
ThématiqueAlgorithms and Data Compression
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSedimentWatershedHydrology (agriculture)ErosionFoothillsSTREAMSSiltSurface runoffSedimentary budget

Résumé

récupéré en direct d'OpenAlex

Gravel and dirt resource roads in the Alberta foothills are critical economic infrastructure, used to explore for, manage, and extract natural resources from this region. Resource roads are also known to add sediment to nearby streams and rivers, causing habitat stress for fish. Understanding road erosion and sediment delivery processes, and how road sediment moves through the stream network is therefore crucial to reducing habitat damage from these roads. The environment of west-central Alberta contains several features which make it susceptible to road erosion and sediment delivery problems: abundant glacial silt and clay deposits, seasonal freeze and thaw cycles, heavy industrial traffic, and a precipitation regime dominated by summer storms. This thesis examines factors and processes controlling road erosion and sediment delivery processes in the Simonette watershed, a 5400 km2 watershed that spans the foothills and boreal plains regions in west-central Alberta. An understanding of these processes was used to develop and evaluate road impact indicators and test them against physical measures of stream condition. This research thus provides baseline data on road erosion, sediment delivery, stream condition, and appropriate indicators of impact that may be used by future watershed assessors in prioritizing and remediating areas of problematic sediment contribution in west-central Alberta foothills watersheds. It was initially hypothesized that sedimentation, and infiltration rates would be strongly determined by mapped surficial geology on site, with significant differences between fine-textured (glaciolacustrine), sandy (glaciofluvial, aeolian), and mixed (morainal) sites. Higher-traffic roads were also expected to generate higher amounts of sediment than lower-traffic roads. The main hypothesis regarding sediment deposition was that the size and extent of road sediment discharge plumes was controlled by the ability of the ground to absorb the discharge generated in the road area. The relationship between contributing area of sediment plumes, and runout area would be related to different infiltration rates in the road and plume area, and precipitation intensity. Road sediment delivery impacts in streams were expected in stream features that promoted settlement of finer sediment, such as pools and areas of flow into the streambed. The strongest driver of erosion in the Simonette watershed was how efficient road segments were at producing runoff from rain events. There was some evidence that surficial geology and traffic influenced sedimentation rate: the highest producing site was a high-traffic road in silty morainal deposits, and the lowest-producing site was a well-drained, sandy, low-traffic road. Both sites were also on end members of a continuum of hydrological responses for the studied road segments: sites with better-drained soils produced less sediment than sites with poorly-drained soils. Overall, sedimentation rates from these Alberta study roads were moderate to high compared to studies of other dirt roads in North America. Potential connectivity of road segments was also driven by hydrology: strong geometric relationships existed between flow-generating areas in the road network, and flow-absorbing areas downslope of road drain points. The area of road sediment plumes was strongly correlated with the product of road-related contributing area and slope, and the length of road plumes was correlated with road-related contributing area. Road erosion and consequence models calibrated to the findings of the erosion and deposition studies in the Simonette watershed were tested for their effectiveness in predicting instream sedimentation pressure. Proportion of clay and silt in streambed gravel matrix was positively related to the number or density of upstream road crossings and with estimated sedimentation pressure from a hydrologically-based road model. Overall, road hydrology was found to be the single best predictor of sedimentation rate and delivery potential to streams. Stream impacts in the region were not well-correlated with the commonly-used metric of road density, but instead with road crossings. This study supports a growing body of literature that suggests that that the use of basic hydrological models is effective in predicting and assessing road sedimentation risk.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,509
Score d'incertitude au seuil0,972

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0020,001
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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.

Tête enseignante Opus0,007
Tête enseignante GPT0,185
Écart entre enseignants0,178 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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