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Enregistrement W7018493417

The Effect of Access Road Construction on the Hydrology of Wetlands in Rock Barren Landscapes

2019· dissertation· en· W7018493417 sur OpenAlexaboutno aff

Notice bibliographique

RevueMacSphere (McMaster University) · 2019
Typedissertation
Langueen
DomaineEnvironmental Science
ThématiquePeatlands and Wetlands Ecology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCulvertWetlandHydrology (agriculture)Water tablePondingSurface runoffDrainageGroundwaterDownstream (manufacturing)
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Dense networks of access roads can be found across the Canadian landscape. Though necessary for natural resource and mineral exploration projects, access roads are linear disturbances that can alter hydrological processes operating within the landscape. While this has previously been studied in many landscapes, research has not been conducted in wetland-dominated depressional landscapes of the Precambrian shield. As such, four wetlands were instrumented with paired monitoring wells and piezometer nests to assess hydrological change upstream and downstream of the road cut-through. In all four wetlands, the road obstructed the movement of lateral flow, resulting in ponding upstream as water was discharged to the surface. Downstream of the road, the wetland experienced a lowered water table due to reduced water inputs, especially during drought conditions. The difference between the upstream and downstream water table position (∆WT) was largest when the culvert was placed 20 cm above the surface, indicating that large water inputs and prolonged flooded conditions was required for water to be permitted downstream. Conversely, the ∆WT was smallest when the culvert was embedded 50% into the subsurface, confirming a previous suggestion (Phillips, 1997) that partial burial is the ideal culvert placement to maintain drainage patterns. In wetlands with comparable culvert placements (perched on the moss surface), the ∆WT was smallest in the wetland that received not only water input from lateral flow, but from groundwater discharge and overland flow as well. This suggests that multiple water sources are important to provide water to the bisected unit downstream of the road cut-through. Furthermore, wetlands with a groundwater connection and deeper depression depths were capable of maintaining a water table during drought conditions, and as such were not subjected to long-term aerobic conditions that can result in peat degradation. In general, the ∆WT was higher in the wetland during the fall rewetting than during the drought. Provided that culvert design was standardized throughout the road network, wetlands that received a greater contribution of overland flow would be at a greater risk for flooding and subsequently hydrological change. As such, a GIS model was created to assess the relative flooding potential of wetlands using criteria (catchment area, proportion of rock cover, stream order, surface water connection) that represents the first-order controls on runoff in Precambrian shield landscapes (T3 template; Buttle, 2006). The model output was evaluated using field data, where wetlands were ranked based on its water table position during the winter period when snowmelt was assumed to occur. The model was capable of assessing the hydroperiod of different wetland types, where the highest and lowest flooding potential was associated with marshes and bogs, respectively. A higher flooding potential was also associated with deeper depressions, which have been shown to have a higher hydroperiod (Didemus, 2016). The flooding potential of wetlands was variable throughout the landscape, and was not correlated with a particular wetland metric (i.e. wetland type, wetland area). The model results suggest that wetlands can be assessed based on flooding potential, in conjunction with other traditionally used wetland metrics. As such, an understanding of the hydrological function of wetlands, and proper selection of culvert design and wetlands for road crossing can be completed in order to minimize hydrological change associated with the construction of access roads.

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,484
Score d'incertitude au seuil0,962

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0000,001
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 Opus0,006
Tête enseignante GPT0,200
Écart entre enseignants0,195 · 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 source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
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
Publié2019
Routes d'admission1
Résumé présentoui

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