Preparation of artificial MSW leachate for treatment studies: Testing on black soldier fly larvae process.

Hermetia illucens artificial wastewater biological treatment circular economy resource recovery sustainable leachate treatment

Journal

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
ISSN: 1096-3669
Titre abrégé: Waste Manag Res
Pays: England
ID NLM: 9881064

Informations de publication

Date de publication:
Aug 2022
Historique:
pubmed: 30 12 2021
medline: 18 6 2022
entrez: 29 12 2021
Statut: ppublish

Résumé

When approaching the study of new processes for leachate treatment, each influencing variable should be kept under control to better comprehend the treatment process. However, leachate quality is difficult to control as it varies dramatically from one landfill to another, and in line with landfill ageing. To overcome this problem, the present study investigated the option of preparing a reliable artificial leachate in terms of quality consistency and representativeness in simulating the composition of real municipal solid waste (MSW) leachate, in view of further investigate the recent treatment process using black soldier fly (BSF) larvae. Two recipes were used to simulate a real leachate (RL): one including chemical ingredients alone (artificial synthetic leachate-SL), and the other including chemicals mixed with artificial food waste (FW) eluate (artificial mixed leachate-ML). Research data were analysed, elaborated and discussed to assess simulation performance according to a series of parameters, such as Analytical representativeness, Treatment representativeness (in this case specific for the BSF larvae process), Recipe relevance, Repeatability and Flexibility in selectively modifying individual quality parameters. The best leachate simulation performance was achieved by the synthetic leachate, with concentration values generally ranging between 97% and 118% of the RL values. When feeding larvae with both RL and SL, similar mortality values and growth performance were observed.

Identifiants

pubmed: 34963402
doi: 10.1177/0734242X211066702
doi:

Substances chimiques

Solid Waste 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1231-1241

Auteurs

Valentina Grossule (V)

DICEA, Department of Civil, Architectural and Environmental Engineering, University of Padova, Padova, Italy.

Ding Fang (D)

School of Environment, Tsinghua University, Beijing, PR China.

Dongbei Yue (D)

School of Environment, Tsinghua University, Beijing, PR China.

Maria Cristina Lavagnolo (MC)

DICEA, Department of Civil, Architectural and Environmental Engineering, University of Padova, Padova, Italy.

Roberto Raga (R)

DICEA, Department of Civil, Architectural and Environmental Engineering, University of Padova, Padova, Italy.

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Classifications MeSH