Probabilistic monitoring and evaluation of intrinsic emissions from solid waste landfills in erode city using machine learning algorithms
| dc.contributor.guide | Sampath Kumar V | |
| dc.coverage.spatial | Probabilistic monitoring and evaluation of intrinsic emissions from solid waste landfills in erode city using machine learning algorithms | |
| dc.creator.researcher | Vijayashanthy S | |
| dc.date.accessioned | 2025-01-27T04:59:05Z | |
| dc.date.available | 2025-01-27T04:59:05Z | |
| dc.date.awarded | 2023 | |
| dc.date.completed | 2023 | |
| dc.date.registered | ||
| dc.description.abstract | The solid waste management issue is a significant global challenge newlinethat poses environmental, social, and economic concerns. The magnitude of the newlineproblem is substantial and has been growing in combination with population newlinegrowth, urbanization, and industrialization. Managing solid waste effectively newlineis crucial for mitigating adverse impacts on the environment and public health. newlineOne of the primary issues is the sheer volume of waste generated worldwide. newlineAs population increase and consumption patterns evolve, the amount of solid newlinewaste produced continues to escalate. Improper disposal practices, including newlineopen dumping and burning, contribute to environmental pollution and the newlinerelease of harmful substances into the air, soil, and water. newlineIn addition to the environmental implications, inadequate solid waste newlinemanagement can have severe social and health consequences. Improperly newlinemanaged waste can lead to the spread of diseases, contamination of water newlinesources, and harm to wildlife. Informal waste disposal sites, often found in low newlineincome communities magnify these problems, creating a cycle of poverty and newlineenvironmental degradation. Moreover, the economic impact of inefficient newlinewaste management is noteworthy. Resources are wasted when materials that newlinecould be reused, recycled, or converted into energy end up in landfills. newlineImplementing effective garbage control practices, such as WTE technologies newlineand effective recycling can contribute to resource conservation and economic newlinesustainability. Efforts to address the solid waste management issue involve a newlinecombination of waste reduction strategies, recycling programs, and the newlinedevelopment of sustainable waste treatment technologies. Public awareness newlineand education play a crucial role in encouraging responsible consumption and newlinewaste disposal habits newline | |
| dc.description.note | ||
| dc.format.accompanyingmaterial | None | |
| dc.format.dimensions | 21cm | |
| dc.format.extent | xii,164p. | |
| dc.identifier.researcherid | ||
| dc.identifier.uri | http://hdl.handle.net/10603/617744 | |
| dc.language | English | |
| dc.publisher.institution | Department of Civil Engineering | |
| dc.publisher.place | Chennai | |
| dc.publisher.university | Anna University | |
| dc.relation | p.150-163 | |
| dc.rights | university | |
| dc.source.university | University | |
| dc.subject.keyword | Erode City | |
| dc.subject.keyword | Ml Algorithms | |
| dc.subject.keyword | Solid Waste Management | |
| dc.title | Probabilistic monitoring and evaluation of intrinsic emissions from solid waste landfills in erode city using machine learning algorithms | |
| dc.title.alternative | ||
| dc.type.degree | Ph.D. |
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