0
Views
0
CrossRef citations to date
0
Altmetric
Research Article

Transitioning wastewater treatment plants towards resource recovery: Challenges and opportunities in Zvishavane, Zimbabwe

, &
Received 23 May 2023, Accepted 21 Jun 2024, Published online: 12 Jul 2024
 

ABSTRACT

Developing countries still lag in transitioning wastewater treatment plants towards resource recovery. This study assessed the challenges hindering and opportunities enabling the implementation of resource recovery from municipal wastewater treatment in Zvishavane town, Zimbabwe using the descriptive case study research design to collect data from selected key informant interviewees. Findings highlighted that resource recovery from Zvishavane’s Mabula wastewater treatment plant was at a nascent but dormant stage. Policy, economic, technological factors and lack of expertise were identified as limiting the transition towards resource recovery in Zvishavane. On the other hand, findings indicated that several enabling factors could enable the transition of the Mabula wastewater treatment plant into a resource recovery facility. These included the presence of entrepreneurs working in the resource recovery sector, university-utility collaboration and a vast raw material base. A stakeholder interaction model was developed to create pathways towards resource recovery in Zvishavane.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 242.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.