Urban Solid Waste Management using Geographic Information Systems (GIS): A Case Study in Doha, Qatar
Dublin Core | PKP Metadata Items | Metadata for this Document | |
1. | Title | Title of document | Urban Solid Waste Management using Geographic Information Systems (GIS): A Case Study in Doha, Qatar |
2. | Creator | Author's name, affiliation, country | Perumal Balakrishnan; Department of Biological and Environmental Sciences, College of Arts & Sciences, Qatar University, Doha, Qatar |
2. | Creator | Author's name, affiliation, country | Mohammed Harish; Department of Biological and Environmental Sciences, College of Arts & Sciences, Qatar University, Doha, Qatar |
2. | Creator | Author's name, affiliation, country | Mohammed Khalifa M.Z. Al-Kuwari; Department of Humanities, College of Arts & Sciences, Qatar University, Doha, Qatar |
2. | Creator | Author's name, affiliation, country | (doi: 10.23953/cloud.ijarsg.397) |
3. | Subject | Discipline(s) | |
3. | Subject | Keyword(s) | Buffer; GIS; Hotspot analysis; Network analysis; Qatar; Waste management |
4. | Description | Abstract |
Qatar is one of the rapidly developing countries in the world due to its surging economy. This has led to a boost in the population size and thus influencing the country’s waste management system on a large scale. Management of waste is the foremost task of a country as it can lead to outspread of diseases, illness and can harm the environment if kept unmanaged. According to Qatar national vision 2030, the key role of Qatar is to plan and create solutions that are sustainable for management of waste. The major outflow of domestic waste in Qatar is from the homes, shops, hotels and restaurants. The method followed in Qatar for domestic waste disposal is collecting waste from the bins by the trucks, loaded in the transfer stations and then taken to landfills. This study is focused on the waste management in a small urban area of Qatar. Waste management in the sense, to make the waste collection sustainable by providing or reallocating the bins according to waste generation and population density utilizing GIS application. The results acquired after analysis shows that there is notable minimization or saving of time after re-distributing the bins. |
5. | Publisher | Organizing agency, location | |
6. | Contributor | Sponsor(s) | |
7. | Date | (YYYY-MM-DD) | 2019-01-16 |
8. | Type | Status & genre | Peer-reviewed Article |
8. | Type | Type | |
9. | Format | File format | |
10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/924 |
11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 8 (Year 2019) |
12. | Language | English=en | DA |
14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | |
15. | Rights | Copyright and permissions |
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