Treated wastewater reuse and its impact on soil properties and potato and corn growth
Notice bibliographique
Résumé
Water scarcity is a growing challenge in semi-arid regions. Many farmers have resorted to treated wastewater (TWW) as an available and low-cost water source. This study investigated the impact of irrigating potato ( Solanum Tuberosum ) and corn ( Zea mays ) with tertiary-treated (TW) and secondary-treated (SW) wastewater compared to freshwater, over two years. We studied the impact of TWW reuse on soil properties, soil microbes, crop yield, and potato tuber health. Irrigation of both corn and potato with TW significantly increased organic matter (OM) content; on average across both years and crops OM increased by about 35 % under SW and 42 % under TW. TWW irrigation also increased cation exchange capacity (CEC) by the second year under SW and TW in potato (average 67 %), and by the second year under TW in corn (average 13 %). TWW also enhanced soil fertility with no heavy metals contamination. However, potato field irrigated with SW showed high levels of total and thermotolerant coliforms in soil, exceeding predefined thresholds, in the second season. No microbial contamination was recorded in TW-irrigated fields, however, it raised salinity concerns compared to control with 935 mg Na /kg in TW soil compared to 465 mg/kg in control soil during the first season in potato soil. Significant increases in potato tillers, number of tubers (average 6 tubers/plant in TW vs 3 tubers/plant in the control), and tuber weight were recorded in season two under TW irrigation. Both SW and TW increased corn biomass during both seasons. In conclusion, TW is a sustainable alternative water source that enhances crop yields and improves soil quality. This study highlighted the critical role of TWW management and monitoring to address challenges such as salinity and microbial contamination. Further research is required to optimize TWW long-term reuse sustainable agriculture, balancing crop benefits while safeguarding human health. • Irrigation with treated wastewater increased organic matter, enhanced soil fertility, and increased potato and corn yield. • Heavy metals concentrations in TWW-irrigated soils remained within safe limits. • Potato field with secondary-treated wastewater showed some contamination with total coliform. • Sodium level in soils irrigated with tertiary-treated wastewater require monitoring and management. • With monitoring, tertiary-treated wastewater could be better option than secondary-treated wastewater for irrigation.
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Comment cette classification a été obtenuedéplier
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,002 |
| Communication savante | 0,000 | 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) | 0,000 | 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 tête enseignante, 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 ».