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Dataset supporting the University of Southampton Doctoral Thesis "Assessing the potential suitability of dynamic membrane system for post-treatment of effluents from municipal wastewater plants in Saudi Arabia using MCDM approaches"

Dataset supporting the University of Southampton Doctoral Thesis "Assessing the potential suitability of dynamic membrane system for post-treatment of effluents from municipal wastewater plants in Saudi Arabia using MCDM approaches"
Dataset supporting the University of Southampton Doctoral Thesis "Assessing the potential suitability of dynamic membrane system for post-treatment of effluents from municipal wastewater plants in Saudi Arabia using MCDM approaches"
This dataset supports a PhD thesis that assesses the potential effectiveness of a dynamic membrane system in treating effluents from municipal wastewater plants in Saudi Arabia using Multiple-Criteria Decision-Making (MCDM) approaches. The study's survey aimed to cover MCDM methods and the performance of rapid sand filters (RSF) to collect data from participants.
University of Southampton
Zamzami, Mohammad Hassan
89109877-c651-40be-99b7-f37eacebec4b
Heaven, Sonia
f25f74b6-97bd-4a18-b33b-a63084718571
Zhang, Yue
5fe8caa6-e91e-4498-9bb6-398780b51016
Zamzami, Mohammad Hassan
89109877-c651-40be-99b7-f37eacebec4b
Heaven, Sonia
f25f74b6-97bd-4a18-b33b-a63084718571
Zhang, Yue
5fe8caa6-e91e-4498-9bb6-398780b51016

Zamzami, Mohammad Hassan (2024) Dataset supporting the University of Southampton Doctoral Thesis "Assessing the potential suitability of dynamic membrane system for post-treatment of effluents from municipal wastewater plants in Saudi Arabia using MCDM approaches". University of Southampton doi:10.5258/SOTON/D3133 [Dataset]

Record type: Dataset

Abstract

This dataset supports a PhD thesis that assesses the potential effectiveness of a dynamic membrane system in treating effluents from municipal wastewater plants in Saudi Arabia using Multiple-Criteria Decision-Making (MCDM) approaches. The study's survey aimed to cover MCDM methods and the performance of rapid sand filters (RSF) to collect data from participants.

Text
Balnk_form_and_raw_data.docx - Dataset
Restricted to System admin until 18 June 2025.
Text
read_me_5_.pdf - Dataset
Restricted to System admin until 18 June 2025.

More information

Published date: June 2024

Identifiers

Local EPrints ID: 491386
URI: http://eprints.soton.ac.uk/id/eprint/491386
PURE UUID: f753d9a4-87cf-4ddb-b217-2435eb6b5846
ORCID for Mohammad Hassan Zamzami: ORCID iD orcid.org/0009-0002-0253-4594
ORCID for Sonia Heaven: ORCID iD orcid.org/0000-0001-7798-4683

Catalogue record

Date deposited: 21 Jun 2024 16:36
Last modified: 25 Jun 2024 01:57

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Contributors

Creator: Mohammad Hassan Zamzami ORCID iD
Research team head: Sonia Heaven ORCID iD
Research team head: Yue Zhang

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