MétaCan
Menu
Retour à la cohorte
Enregistrement W7009571095

The effects of subsurface drainage design and water management system on soil desalination in the Canadian Prairies.

2023· dissertation· en· W7009571095 sur OpenAlexaboutno aff

Notice bibliographique

RevueMspace (University of Manitoba) · 2023
Typedissertation
Langueen
DomaineEnvironmental Science
ThématiqueSoil Geostatistics and Mapping
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésDrainageIrrigationSoil salinity controlHydrology (agriculture)Watertable controlSoil waterIrrigation managementSalinitySoil salinity
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

The use of electromagnetic induction to map and monitor the salinity levels of soil and other soil properties such water content has been an important tool of modern agriculture for decades. The present study used an electromagnetic induction (EMI) sensor (i.e EM-38 meter) to conduct surveys at two locations in Manitoba in order to assess the salinity levels and distribution of the soils in these locations. These study sites are Prairies East Sustainable Agriculture Initiative (PESAI) at Arborg, and a research farm Hespler commercial farms in Winkler Southern Manitoba, Canada. At PESAI, the study investigated the impact of drain spacing on the salinity levels of heavy clay soil. At the Winkler site, we investigated the impact on soil salinity of four water management system designs which include irrigation and drainage. At the PESAI research site, drain tiles were installed at a depth of 0.9 m to 1.1 m in the north north-south direction with drain spacing from 15 ft (4.57m), 30 ft (9.14m) and 45 ft (13.72m). The control plot had no drain tiles installed. Similarly, at the Winkler research site, the research area was divided into four water management systems in order to characterize better the effects of these water management systems on the salinity of the soil. These water management systems included no drainage with no irrigation (NDNI), free drainage with overhead irrigation (FDIR), controlled drainage with subirrigation (CDSI), and no drainage with overhead irrigation (NDIR). The irrigation and drainage on these plots started in 2009 and irrigation was stopped in 2013. A total of 2648 ECa data were surveyed from Arborg whereas Winkler had total ECa 11,715. A total of 165 soil samples were taken from 33 separate locations in the two study sites and were taken to the laboratory for further soil analysis. The apparent electrical (ECa) data from the Arborg study was corrected for departure from low induction number (LIN) response. No LIN correction was required for Winkler ECa data because the ECa values were low. The ECa result from both sites showed variations that did not correspond to the individual treatments. Careful examination of both ECa results indicated a large-scale, irregularly-shaped conductive and resistive region that crossed the boundaries of individual treatments. In both studies, the EC of the saturated paste extract (ECe) from all the 165 soil samples were depth weighted using horizontal mode (H-H) and vertical mode (V-V). There was a high correlation between ECa and ECe. Both studies yielded a high Pearson r2 correlation coefficient with Arborg exceeding 0.82 for H-H and 0.74 for V-V, while Winkler H-H was 0.84 and 0.62 for V-V. Although the volumetric water content (VWC) was relatively uniform at both study sites, there was also a weak correlation between VWC and ECa. The laboratory measured ECe is important as it is used to convert ECa from the field to ECe. It was observed that the Arborg calibration equation had a large positive intercept for both H-H and V-V mode. This indicated undissolved ECe source which was gypsum. High clay content of the study area and gypsum rich soil could be the main controlling factors acting on the ECe of the soil. To establish the effects of treatments, one way ANOVA design was applied to H-H and V-V ECe data in Arborg. The results revealed that the control drainage was least conductive compared to the other treatments. ANOVA result for Winkler study site revealed a trend of decreasing salinity in the plotset with time for plotset with irrigation and drainage. There was evidence of a decreasing salinity when mean of the plotset were ranked within May and June 2021. Within the year 2021, CDSI and FDIR were least conductive when compared with NDIR and NDNI. Similarly, in 2009, NDIR and NDNI were least conductive compared with CDSI and FDIR. The result from the Winkler study area showed that the drains tiles were effective in reducing salinity of the soil.

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)0,001
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: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,823
Score d'incertitude au seuil0,827

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
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 savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,008
Tête enseignante GPT0,181
Écart entre enseignants0,173 · 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'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
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueMspace (University of Manitoba)Même sujetSoil Geostatistics and MappingTravaux en français237 207