Geospatial technology for selecting suitable sites for solid waste disposal: a case study of Shone town, central Ethiopia

ABSTRACT

The main objective of this study is to choose appropriate solid waste disposal sites based on environmentally friendly, cost-effective, and socially responsible factors using geospatial technology. To achieve the study’s objectives, factor maps such as slope, settlement, road, stream, land use/land cover, geology, borehole, protected area, and soil maps were used and prepared using GIS. The most appropriate solid waste disposal sites were identified and categorized as highly suitable, suitable, less suitable, or unsuitable using a weighted linear combination (WLC) analysis. Through ArcMap overlay analysis, the final suitability map was created. The AHP pairwise comparison module helped establish the weight of factor parameters. The findings reveal that out of the total area, 51.32 hectares are highly suitable, 54.86 hectares are suitable, 34.99 hectares are less suitable, and 3171.22 hectares are unsuitable for solid waste disposal. The use of GIS and remote sensing data has allowed for a comprehensive evaluation of multiple factors and their weighted importance, resulting in a final suitability map that can guide decision-makers in selecting appropriate sites for solid waste disposal. In conclusion, the study provides a practical solution to the problem of solid waste disposal by using geospatial technology.

KEYWORDS:

• GIS
• AHP
• suitability map
• weighted linear combination
• remote sensing

Acknowledgments

The authors thank the administrative authorities of the town of Shone and the municipal authorities, the city beautification office, and the municipal administrators of Shone town for their cooperation and for providing permission to conduct this study. The authors also express gratitude to the participants in this study who took the time to provide valuable insights and information. Their willingness to share their experiences and perspectives has significantly contributed to the research findings. Additionally, the author acknowledges the support and guidance provided by academic advisors and colleagues who offered valuable feedback and insights throughout the research process. Finally, the author acknowledges the encouragement and support provided by friends and family, whose unwavering support has been a source of motivation to complete this study.

Disclosure statement

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

Data availability statement

The data supporting the results of this study are available at reasonable request from the corresponding author.

Additional information

Funding

The authors received no financial support for their research, authorship, or publication of this article.

Notes on contributors

Ajitesh Singh Chandel

Ajitesh Singh Chandel played a crucial role in a research project by providing guidance, supervision, and insightful insights. His extensive knowledge and ability to communicate complex concepts facilitated the research process. His critical thinking and problem-solving skills were invaluable in overcoming challenges. His collaborative approach fostered a positive research environment, and his strong communication skills helped disseminate the study’s findings. His adaptability and persuasive writing style increased the study’s visibility and impact, leading to further advancements in the field.

Asrat Ermias Weto

Asrat Ermias Weto contributed to the study’s conceptualization, drafted the manuscript, formulated methodology, conducted data analysis, and conducted field investigation. He collaborated with fellow scholars to ensure the precision and reliability of his findings.

Degu Bekele

Degu Bekele’s meticulous manuscript refinement, data collection, and statistical analysis significantly enhanced the study’s clarity, reliability, and validity. His meticulous approach ensured accurate recording and organization of information, while his analytical skills allowed for comprehensive interpretation of data. His expertise in statistical analysis provided a solid foundation for drawing meaningful conclusions, fostering a productive research environment, and revealing significant patterns and trends for future research.