Integrated Approach to Achieve a Sustainable Organic Waste Management System in Saudi Arabia.

IoT Zero Waste genetic-based waste collection truck waste collection management

Journal

Foods (Basel, Switzerland)
ISSN: 2304-8158
Titre abrégé: Foods
Pays: Switzerland
ID NLM: 101670569

Informations de publication

Date de publication:
22 Apr 2022
Historique:
received: 16 03 2022
revised: 16 04 2022
accepted: 20 04 2022
entrez: 14 5 2022
pubmed: 15 5 2022
medline: 15 5 2022
Statut: epublish

Résumé

Organic waste management (OWM) has always been a fundamental aspect of human populations. Approaches to OWM must be matched to the characteristics of a certain population. In this consideration, the Kingdom of Saudi Arabia (KSA) is no exception. Organizations are being aligned to focus on sustainability matters sharing significant features with universal trends, especially the integration of 3Rs (reducing waste, reusing, and recycling resources). However, the degree and nature of advancement in the direction of sustainability vary depending on the economic level of a state. High-income economies can afford to pay a higher price to integrate 3Rs technologies. Most recent endeavors have focused on achieving 'Zero Waste', which is costly for low-income developing countries. The expectations of OWM systems in KSA must be estimated. In this work, the situations in KSA and other countries are analyzed, and pertinent aspects are explored. Matters relating to the sustainability of OWM are conceptually assessed. This study proposes an integrated method for an organic waste management system to achieve sustainable OWM in the context of state policy and appropriate frameworks, suitable technology, institutional order, operational and monetary administration, and people consciousness and involvement. A genetic-based waste collection transportation algorithm that enhances the efficiency of waste collection truck management is presented in line with this technology. The selected routes based on the

Identifiants

pubmed: 35563937
pii: foods11091214
doi: 10.3390/foods11091214
pmc: PMC9106058
pii:
doi:

Types de publication

Journal Article

Langues

eng

Subventions

Organisme : Scientific Research Deanship at the University of Ha'il, Saudi Arabia
ID : RG-20 044

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Auteurs

Nibras Abdullah (N)

Department of Computer Engineering, College of Computer Science and Engineering, University of Ha'il, Ha'il 81481, Saudi Arabia.
National Advanced IPv6 Centre, Universiti Sains Malaysia (USM), Penang 11800, Malaysia.
Faculty of Computer Science and Engineering, Hodeidah University, Hodeidah P.O. Box 3114, Yemen.

Ola A Al-Wesabi (OA)

Faculty of Computer Science and Engineering, Hodeidah University, Hodeidah P.O. Box 3114, Yemen.
School of Computer Sciences, Universiti Sains Malaysia (USM), Penang 11800, Malaysia.

Badiea Abdulkarem Mohammed (BA)

Department of Computer Engineering, College of Computer Science and Engineering, University of Ha'il, Ha'il 81481, Saudi Arabia.
Faculty of Computer Science and Engineering, Hodeidah University, Hodeidah P.O. Box 3114, Yemen.

Zeyad Ghaleb Al-Mekhlafi (ZG)

Department of Information and Computer Science, College of Computer Science and Engineering, University of Ha'il, Ha'il 81481, Saudi Arabia.

Meshari Alazmi (M)

Department of Information and Computer Science, College of Computer Science and Engineering, University of Ha'il, Ha'il 81481, Saudi Arabia.

Mohammad Alsaffar (M)

Department of Information and Computer Science, College of Computer Science and Engineering, University of Ha'il, Ha'il 81481, Saudi Arabia.

Mohammed Anbar (M)

National Advanced IPv6 Centre, Universiti Sains Malaysia (USM), Penang 11800, Malaysia.

Putra Sumari (P)

School of Computer Sciences, Universiti Sains Malaysia (USM), Penang 11800, Malaysia.

Classifications MeSH