MétaCan
Menu
← Retour à la cohorte
Enregistrement W7056320931

Enhanced removal of Cryptosporidium parvum oocysts and Cryptosporidium-sized microspheres from recreational water through filtration

2012· other· en· W7056320931 sur OpenAlexaboutno aff

Notice bibliographique

RevueNC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro) · 2012
Typeother
Langueen
DomainePhysics and Astronomy
ThématiqueMagnetic confinement fusion research
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCryptosporidiumCryptosporidium parvumTurbidityFiltration (mathematics)Water qualityAlkalinityOutbreak
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Cryptosporidium species are the cause of cryptosporidiosis, which has symptoms such as watery diarrhea, dehydration, fever, nausea, body fatigue, and abdominal cramps. Infants, the elderly, and people with severely compromised immune systems are more susceptible and could die from cryptosporidiosis. Numerous waterborne outbreaks of cryptosporidiosis have been linked to swimming pools in United Kingdom, United States, Australia, and Canada. The concerns of public health and increasing demands for recreational opportunities have pushed the need for enhanced removals of Cryptosporidium from swimming pools to emergent. Unfortunately, relatively little information is available on Cryptosporidium removal from pilot-scale or full-scale swimming pools or spas. Water quality was evaluated for thirty five national swimming pools at first to evaluate the chemical constituents of the swimming pools. Based on these data, three representative swimming pool waters were developed using cluster analysis, which were applied in subsequent experiments. Based on this survey, an average pool would have a pH of 7.5 with 1.5 mg/L of free chlorine, and the alkalinity and hardness would be 94 mg/L and 238 mg/L as CaCO3, respectively. The average turbidity would be 0.33 NTU, and the DOC concentration would be 5 mg/L. Zeta potentials of Cryptosporidium oocyst-sized microspheres in three pool waters were titrated with six coagulants to determine dose-response relationships. Overdosing of organic polymer coagulants (i.e., coagulants A, B, and F) was shown to be possible. No significant differences were observed for any of the coagulants' performance in the three water formulations test. High-rate sand filtration (which refers to a filtration rate up to 37 m/h with coagulant addition before sand filtration) was evaluated in this study. A series of experiments were conducted to develop a novel operational procedure for high-rate sand filtration and provide field-relevant results. Results indicated that the highest removals occurred when coagulant was fed continuously by a coagulant pump. Extended/excessive dosing coagulant A (the only coagulant used in this part of the study) led to coagulant A build up in the system and reduced microsphere removal efficiency. Three alternative treatment techniques were evaluated for ability to enhance Cryptosporidium-sized microsphere removals from a 5,500 L pilot-scale pool, including feeding coagulants prior to sand filter, adding a layer of perlite on top of the sand filter's media without coagulation, and diatomaceous earth (DE) filtration. High-rate sand filtration without coagulation (control experiment) removed 20% - 63% of microspheres. Up to 99% Cryptosporidium-sized microsphere removal was achieved through high-rate sand filtration with coagulants A, B, D, and F at 37 m/h. Coagulant C was a chitosan-based product that removed less than 80% of microspheres under the studied conditions. Coagulant E (polyaluminum chloride) removed more than 90% of microspheres at 30 m/h. Adding perlite on the top of a sand filter increased the Cryptosporidium oocysts-sized microsphere removals to 79%, 99%, 99.7%, and 99.8% with 0.24 kg·perlite/m2, 0.37 kg·perlite/m2, 0.49 kg·perlite/m2 and 0.61 kg·perlite/m2, respectively. At least 0.7 kg·bull;DE/m 2 was required to achieve approximately 99% of Cryptosporidium-sized microspheres by DE filtration. Cryptosporidium parvum and Cryptosporidium -sized microsphere removals from full-scale swimming pools were evaluated. Coagulants B, D, E, and F were individually fed into swimming pools both with remediation dose and maintenance dose. Approximately 90% of Cryptosporidium parvum and microspheres were removed by filtration with coagulant B (1.56 mg/L), coagulant D (305g/m2), and coagulant F (1.56 mg/L) under remediation conditions. Eighty two percent of Cryptosporidium and 97% of microspheres were removed with coagulant E (0.1 mg·Al/L) under remediation conditions. Under maintenance dosing conditions: up to 93% of Cryptosporidium and 77% of microsphere were removed by coagulant B; as high as 99% of Cryptosporidium and 98% of microsphere were removed with coagulant D; 98% of Cryptosporidium and 93% of microsphere were removed with coagulant E; up to 85% of Cryptosporidium and 82% of microsphere were removed with coagulant F. Organic polymer coagulants accumulated in the swimming pool water (as measured for coagulant A concentration under the study conditions) and led to poor filter performance over time. Additionally, Cryptosporidium parvum removals by perlite/sand filter was 88%, and microspheres removal was 99.8% (0.5 kg·perlite/m2). DE filtration provided above 99.8% removals both for Cryptosporidium parvum and microspheres. Cartridge filters only achieved 22% removal of microspheres from a full-scale spa. To summarize, Cryptosporidium and microspheres could be effectively removed on a continuing basis by DE filtration, perlite/sand filtration, and high-rate sand filtration with continuously feeding of coagulant D or E. Performance of coagulant D and E tended to decrease with increased filter pressure, which could warrant additional research. Coagulant A, B, and F achieved up to 99% removal at the recommended dosage, but Cryptosporidium and microsphere removals decreased to less than 90% (typically within 48 hours) as the polymer coagulants accumulated in the pool.

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)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,005
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

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 savante0,0000,000
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 Opus0,013
Tête enseignante GPT0,226
Écart entre enseignants0,213 · 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'étudeExpérimental (laboratoire)
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
Publié2012
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueNC Digital Online Collection of Knowledge and Scholarship (The University of North Carolina at Greensboro)→Même sujetMagnetic confinement fusion research→Travaux en français237 207→