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LIFE CYCLE ASSESSMENT (LCA) OF IRON-OXIDE MODIFIED BIOCHAR ADSORBENTS PREPARED FOR REMOVAL OF ARSENIC FROM WATER: MICROWAVE VS. CONVENTIONAL PYROLYSIS

2022· dissertation· en· W7001794132 sur OpenAlexfundaboutno aff

Notice bibliographique

RevueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Langueen
DomaineEnvironmental Science
ThématiqueArsenic contamination and mitigation
Établissements canadiensnon disponible
Organismes subventionnairesNatural Sciences and Engineering Research Council of Canada
Mots-clésBiocharArsenicBiomass (ecology)PyrolysisAdsorptionArsenic contamination of groundwaterContamination
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Arsenic contamination in water originates from anthropogenic and natural sources, occurring in many locations all over the world. Due to its very high toxicity, exposure to low concentrations can lead to critical consequences such as cancer in humans and ecosystem contamination. Thus, regulatory limits for drinking water have been set by the World Health Organization at 10 μg/L or less as a safe threshold. However, achieving this limit can be challenging. Location, water source, concentration, pH levels, and other factors have great influence in the arsenic removal process. Many removal methods have been studied and promoted in the past and the selection of the appropriate removal method may depend on the factors previously mentioned. However, two overall significant components are the focus of industry for treatment including economic and environmental considerations. While there are many arsenic removal method alternatives, few studies evaluate its realistic economic and environmental burdens in large scale. This type of analysis must also take into consideration the applicable location and data for more appropriate and accurate outcomes. This study investigated the potential of using biochar for adsorption as its main arsenic removal method. The biomass chosen was canola straw due to its abundance in the province of Saskatchewan, Canada. Biochar adsorption has become popular due to its potentially increased environmentally friendliness as well as lower cost due to biomass availability. The pyrolysis type for biochar production was also studied, comparing conventional and microwave pyrolysis and its effect on the biochar adsorption efficiency and economic and environmental burdens. For satisfactory adsorption results, the biomass should be treated and modified for enhancement. A wide range of activating and modifying agents have been used in the past. For this project, an acid and base were studied for its activating effect and iron was utilized as a modifying agent due to its previously reported high efficiency rate. Additionally, the modification that occurred to the biomass and biochar due to these treatments were also explored to better comprehend their roles. Characterization analyses to study the chemical and physical modifications were carried out including Brunauer-Emmett-Teller (BET), Scanning Electron Microscopy (SEM), Energy Dispersive X-ray Spectroscopy (EDS), and X-ray Diffraction (XRD). iv Furthermore, different factors were also analyzed, including, pH, adsorbent dosage, temperature and equilibrium time. Different biochars were synthesized with optimized adsorption capacities of 825 and 893 μg/g for As(III) and 929 and 771 μg/g for As(V). For further analysis of the biochar’s economic and environmental performance, a Life Cycle Assessment (LCA) and Life Cycle Cost Assessment (LCCA) were performed for the chosen optimal biochars. These assessments allowed a more objective look by using SimaPro and comparing processes utilizing the same method and materials, generating less discrepancies between comparisons. It was found that pyrolysis types, although not significant on adsorption capacity, does have a significant impact on both environmental and economic factors. Furthermore, microwave pyrolysis biochar has a great potential for environmental efficiency, considering its CO2 production which was found to be -0.298 CO2/kg of biochar. In an economic perspective, produced biochars averaged at a range of price from $5.14 to $6.95 USD per kg of biochar. A weighting analysis was also carried out to further analyze the economic and environmental factors, since few studies report this data for biochar adsorbents. Thus, an adsorbent can be chosen based on personal goals and preferences of the industry or company and its application. Biochars were synthesized and showed high arsenic removal rates in the circumstances studied. Distinct factors showed their impact on the arsenic removal capacity and characterization experiments showed the influencing modifications and resulting biochar characteristics that lead to increased adsorption capacities. Although the LCA and LCCA was carried out with its weighting scenarios, further research and analyses can be done for greater data comparison and continued enhancement of biochar for arsenic adsorption.

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)0,001
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: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,009
Score d'incertitude au seuil0,018

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,002
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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 GPT0,186
Écart entre enseignants0,180 · 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
Publié2022
Routes d'admission2
Résumé présentoui

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