Municipal Solid Waste Characterization and Assessment Using Inverse Distance Weighted (IDW) Technique for Suitable Waste Management: A Case Study of City Jammu, J&K, India.
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| Title: | Municipal Solid Waste Characterization and Assessment Using Inverse Distance Weighted (IDW) Technique for Suitable Waste Management: A Case Study of City Jammu, J&K, India. |
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| Authors: | Alam, Pervez1 (AUTHOR) pervezjmi@gmail.com, Farooq, Amreen1 (AUTHOR), Islam, Raisul2 (AUTHOR), Avudaiappan, Siva (AUTHOR) s.avudaiappan@utem.cl |
| Source: | Advances in Civil Engineering. 3/27/2026, Vol. 2026, p1-16. 16p. |
| Subjects: | Waste management, Interpolation algorithms, Urbanization, Sustainability, Composting, Solid waste management, Waste products |
| Geographic Terms: | Jammu & Kashmir (India), India |
| Abstract: | Urbanization and population growth are solely responsible factors for the increase in the quantity of solid waste. Additionally, changes in lifestyle patterns, a shift from biodegradable to non‐degradable waste, and industrialization have led to an increase in the toxicity of solid waste. These factors have left solid waste as a major cause of environmental degradation today. Thus, this study underscores the necessity of intelligent waste management systems in addition to attempting to address the municipal solid waste issue in the city. A total of 129 samples were collected from 30 locations, with findings indicating significant variability in waste types and quantities. Maximum waste generation was observed at Gandhi Nagar (14.41 kg), while Shastri Nagar exhibited the highest proportion of food waste (87.15%). Plastic waste peaked at Domana (66.29%), and vegetable waste was predominant in Sunjwan (76.17%). Further, moisture content (M.C.) analysis revealed high organic content in waste streams, with levels exceeding 76% in some locations, advocating for composting as an effective management strategy. In addition, this study integrates solid waste characterization with spatial interpolation using the inverse distance weighted (IDW) technique (QGIS) to generate high‐resolution waste distribution maps across Jammu city. The approach combines with field‐based data analysis, statistical validation (R2 = 0.97), and a regression study to identify spatial hotspots and key predictors of waste generation, providing a data‐driven solution for optimized and area‐specific solid waste management planning. These findings offer actionable insights for improving waste management systems in Jammu city, fostering sustainability, and reducing environmental hazards. [ABSTRACT FROM AUTHOR] |
| Copyright of Advances in Civil Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 192595344 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Municipal Solid Waste Characterization and Assessment Using Inverse Distance Weighted (IDW) Technique for Suitable Waste Management: A Case Study of City Jammu, J&K, India. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Alam%2C+Pervez%22">Alam, Pervez</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> pervezjmi@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Farooq%2C+Amreen%22">Farooq, Amreen</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Islam%2C+Raisul%22">Islam, Raisul</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Avudaiappan%2C+Siva%22">Avudaiappan, Siva</searchLink> (AUTHOR)<i> s.avudaiappan@utem.cl</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Advances+in+Civil+Engineering%22">Advances in Civil Engineering</searchLink>. 3/27/2026, Vol. 2026, p1-16. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Waste+management%22">Waste management</searchLink><br /><searchLink fieldCode="DE" term="%22Interpolation+algorithms%22">Interpolation algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Urbanization%22">Urbanization</searchLink><br /><searchLink fieldCode="DE" term="%22Sustainability%22">Sustainability</searchLink><br /><searchLink fieldCode="DE" term="%22Composting%22">Composting</searchLink><br /><searchLink fieldCode="DE" term="%22Solid+waste+management%22">Solid waste management</searchLink><br /><searchLink fieldCode="DE" term="%22Waste+products%22">Waste products</searchLink> – Name: SubjectGeographic Label: Geographic Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Jammu+%26+Kashmir+%28India%29%22">Jammu & Kashmir (India)</searchLink><br /><searchLink fieldCode="DE" term="%22India%22">India</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Urbanization and population growth are solely responsible factors for the increase in the quantity of solid waste. Additionally, changes in lifestyle patterns, a shift from biodegradable to non‐degradable waste, and industrialization have led to an increase in the toxicity of solid waste. These factors have left solid waste as a major cause of environmental degradation today. Thus, this study underscores the necessity of intelligent waste management systems in addition to attempting to address the municipal solid waste issue in the city. A total of 129 samples were collected from 30 locations, with findings indicating significant variability in waste types and quantities. Maximum waste generation was observed at Gandhi Nagar (14.41 kg), while Shastri Nagar exhibited the highest proportion of food waste (87.15%). Plastic waste peaked at Domana (66.29%), and vegetable waste was predominant in Sunjwan (76.17%). Further, moisture content (M.C.) analysis revealed high organic content in waste streams, with levels exceeding 76% in some locations, advocating for composting as an effective management strategy. In addition, this study integrates solid waste characterization with spatial interpolation using the inverse distance weighted (IDW) technique (QGIS) to generate high‐resolution waste distribution maps across Jammu city. The approach combines with field‐based data analysis, statistical validation (R2 = 0.97), and a regression study to identify spatial hotspots and key predictors of waste generation, providing a data‐driven solution for optimized and area‐specific solid waste management planning. These findings offer actionable insights for improving waste management systems in Jammu city, fostering sustainability, and reducing environmental hazards. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Advances in Civil Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1155/adce/6739670 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 1 Subjects: – SubjectFull: Waste management Type: general – SubjectFull: Interpolation algorithms Type: general – SubjectFull: Urbanization Type: general – SubjectFull: Sustainability Type: general – SubjectFull: Composting Type: general – SubjectFull: Solid waste management Type: general – SubjectFull: Waste products Type: general – SubjectFull: Jammu & Kashmir (India) Type: general – SubjectFull: India Type: general Titles: – TitleFull: Municipal Solid Waste Characterization and Assessment Using Inverse Distance Weighted (IDW) Technique for Suitable Waste Management: A Case Study of City Jammu, J&K, India. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Alam, Pervez – PersonEntity: Name: NameFull: Farooq, Amreen – PersonEntity: Name: NameFull: Islam, Raisul – PersonEntity: Name: NameFull: Avudaiappan, Siva IsPartOfRelationships: – BibEntity: Dates: – D: 27 M: 03 Text: 3/27/2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 16878086 Numbering: – Type: volume Value: 2026 Titles: – TitleFull: Advances in Civil Engineering Type: main |
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