Modelling quantities and qualities (Q&Q) of faecal sludge in Hanoi, Vietnam and Kampala, Uganda for improved management solutions.
Demographic
Fecal sludge
Low-income
Sanitation
Septage
Wastewater
Journal
Journal of environmental management
ISSN: 1095-8630
Titre abrégé: J Environ Manage
Pays: England
ID NLM: 0401664
Informations de publication
Date de publication:
01 May 2020
01 May 2020
Historique:
received:
29
03
2019
revised:
28
12
2019
accepted:
25
01
2020
entrez:
10
3
2020
pubmed:
10
3
2020
medline:
11
3
2020
Statut:
ppublish
Résumé
The importance of faecal sludge management is gaining recognition. However, methods are still lacking to reasonably estimate the quantities and qualities (Q&Q) that need to be managed, which makes the planning for and implementing of management solutions quite difficult. The objective of this study was to collect and analyse Q&Q of faecal sludge at a citywide scale, and to evaluate whether "SPA-DET" data (=> spatially analysable - demographic, environmental and technical) could then be used as predictors of Q&Q of faecal sludge. 60 field samples and questionnaires from Hanoi and 180 from Kampala were analysed. Software tools were used in an iterative process to predict total solids (TS) and emptying frequency in both Hanoi, Vietnam and Kampala, Uganda. City-specific data could be predicted with types of "SPA-DET" data as input variables, and model performance was improved by analysing septic tanks and pit latrines separately. Individual models were built for TS concentrations and emptying frequency. In addition, a model was built across both cities for emptying frequency of septic tanks based on number of users and containment volume, indicating predictive models can be relevant for multiple cities. Number of users, containment volume, truck volume and income level were identified as the most common variables for the correction function. Results confirm the high intrinsic variability of faecal sludge characteristics, and illustrate the importance of moving beyond simple reporting of city-wide average values for estimations of Q&Q. The collected data and developed scripts have been made available for replication in future studies.
Identifiants
pubmed: 32148272
pii: S0301-4797(20)30137-7
doi: 10.1016/j.jenvman.2020.110202
pii:
doi:
Substances chimiques
Sewage
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
110202Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.