Modelling water quality of the Pike River watershed under four climate change scenarios
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Notice bibliographique
Résumé
The impacts of climate change on the hydrology and water quality of the Pike River watershed, an important contributor of nutrient loads to northern Lake Champlain, were predicted for the time horizon 2041-2070. Four water quality scenarios were simulated using a version of the Soil and Water Assessment Tool (SWAT) modified to suit Québec's agroclimatic conditions. Three of the scenarios were generated using climates simulated with the Fourth Canadian Regional Climate Model (CRCM4). The fourth scenario was generated using the climate simulated with the Arpege Regional Climate Model. SWAT was independently calibrated for the period 2001-2003, and then validated for the periods of 2004-2006 and 1980-2000, before inputting the climate scenarios. Potential mean changes predicted by these scenarios were then analysed for the evapotranspiration, surface and subsurface runoff, stream flow, sediment yields, and total phosphorus and nitrogen.After calibration, mean annual evapotranspiration, surface and subsurface flow as well as water percolation were found to correspond satisfactorily with the hydrology of the basin. Likewise, monthly predicted stream flow compared reasonably well with observed stream flow. The performance of SWAT in simulating sediment and nutrient yields was clearly improved after calibration but did not always reach standards of acceptability. As for climate change results, only one scenario predicted a significant increase in mean annual stream flow and nutrient loadings. However, when considering shorter time spans, simulations predicted significant changes including a winter stream flow two to three times greater than current stream flow and earlier spring floods. The identified causes are the early onset of spring snowmelt, a greater number of rainfall events and snowmelt episodes caused by higher winter and spring temperatures. In contrast, peak flows in April, as well as summer stream flow, appear to decrease but not always significantly. Nutrient delivery to the lake significantly increased in winter and occurred earlier in the year as a consequence of hydrological changes. A three- to four-fold increase in subsurface flow was also observed in winter which may increase nutrient losses through this pathway.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
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 découle