Cheng, S, Long, J, Evans, B orcid.org/0000-0001-9815-3141 et al. (5 more authors) (2022) Non-negligible greenhouse gas emissions from non-sewered sanitation systems: A meta-analysis. Environmental Research, 212 (Part D). 113468. ISSN 0013-9351
Abstract
Current methods for estimating sanitation emissions underestimate the significance of methane emissions from non-sewered sanitation systems (NSSS), which are prevalent in many countries. NSSS play a vital role in the safe management of fecal sludge, accounting for approximately half of all existing sanitation provisions. We analyzed the distribution of global NSSS and used IPCC accounting methods to estimate the total methane emissions profiles from these systems. Then, we examined the literature to establish the level of uncertainty associated with this accounting estimate. The global methane emissions from NSSS in 2020 was estimated to as 377 (22–1003) Mt CO2e/year or 4.7% (0.3%–12.5%) of global anthropogenic methane emissions, which are comparable to the greenhouse gas (GHG) emissions from wastewater treatment plants. NSSS is the major option for open defecation and is expected to increase by 55 Mt CO2e/year after complete open defecation free. It is time to acknowledge the GHG emissions from the NSSS as a non-negligible source.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/) |
Keywords: | Non-sewered sanitation systems (NSSS); IPCC accounting Method; GHG emissions; Methane emissions |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Civil Engineering (Leeds) |
Funding Information: | Funder Grant number Bill & Melinda Gates Foundation Not Known |
Depositing User: | Symplectic Publications |
Date Deposited: | 19 May 2022 11:52 |
Last Modified: | 25 Jun 2023 22:59 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.envres.2022.113468 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:187029 |