Author
Listed:
- Emmanuel Kwame Nti
- Gordana Kranjac-Berisavljevic
- Dzigbodi Adzo Doke
Abstract
Purpose - The aim of this paper is to determine whether the dominant integrated water resources management (IWRM) paradigm within which the Pra River Basin is managed holds the key to address the current water security and sustainability issues in Southwestern Ghana. Design/methodology/approach - This study employed a literature review developed based on water security and sustainability studies as well as normative scenarios from the broad scenario planning methodology. The study builds on Wæver’s Theory of Securitization and the Utilitarian theory to protect water bodies through the use of artificial intelligence (AI). Findings - Insights on introducing innovative environmental sustainability technology are presented and propose the Pra-integrated smart water security management decision-making system that uses visual inspections, noise sensors, the potential of hydrogen (pH) probe sensor, real-time collection of hydrological data (streamflow) and wireless transmission of the data in real-time at the basin level. This serves as a robust tool for managing the basin’s sustainable development ecosystem by using AI to protect water bodies against illegal mining. Originality/value - The proposed innovative environmental technology which is the first of its kind is meant to gain a better understanding of pollution incidents and respond quickly to them by integrating AI and Internet of Things (IoT) technologies with traditional IWRM practices. This addresses water security in the Pra Basin, supports policy development and innovation, strengthens the goal of the government to protect water resources against pollution and contributes to the African Water Vision and the United Nations’ Agenda 2030 Sustainable Development Goals 3 and 6.
Suggested Citation
Emmanuel Kwame Nti & Gordana Kranjac-Berisavljevic & Dzigbodi Adzo Doke, 2024.
"Water security and sustainability issues in Ghana’s Pra River Basin: an introduction – projected usefulness of artificial intelligence,"
Technological Sustainability, Emerald Group Publishing Limited, vol. 4(1), pages 77-97, September.
Handle:
RePEc:eme:techsp:techs-05-2024-0050
DOI: 10.1108/TECHS-05-2024-0050
Download full text from publisher
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eme:techsp:techs-05-2024-0050. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Emerald Support (email available below). General contact details of provider: .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.