Geospatial alternatives for quantification of bio-thermal influence zone in the vicinity of a solid waste dump.

Municipal solid waste forest community geospatial technologies hazardous zones meteorological parameters thermal influence zone

Journal

Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA
ISSN: 1096-3669
Titre abrégé: Waste Manag Res
Pays: England
ID NLM: 9881064

Informations de publication

Date de publication:
Apr 2023
Historique:
medline: 17 4 2023
pubmed: 30 9 2022
entrez: 29 9 2022
Statut: ppublish

Résumé

Owing to the release of toxic gases, leachate and thermal emissions that originate from waste dumps, these sites significantly impact environmental sustainability. The study attempts to assess the deleterious impact of municipal solid waste (MSW) dump on surrounding forested landscape by employing geospatial technologies, which are cost and time-effective. For this purpose, temporal period ranging from 2015 to 2020, having 41 valid satellite observations has been selected for study. Firstly, the radii of intense hazardous zone and hazardous zone have been measured, as two separate parameters, which are 580 ± 30 m and 1260 ± 30 m, respectively. Secondly, average spatial extent of bio-influence zone is measured to be 1262 m while the average thermal influence zone extends up to 530 m around the MSW dumping site. A detailed analysis of influence zone variations reveals that the bio-influence zone depends on multitude of meteorological parameters, whereas the thermal influence zone relies mainly on seasonal temperature fluctuations. Moreover, the level of severity of emissions from MSW decomposition directly depends upon temperature. The long-term variability analysis of these hazardous zones reveals the stationarity of their spatial extents, signifying forest resilience. This study has proved significance of geospatial techniques as an alternate of expensive and time intensive assessment methods involving in situ measurements. So the proposed technique is beneficial for environmentalists, decision-makers and municipal authorities for analysing the extent and severity of MSW pollutants for forest community to address the problem of ecological degradation.

Identifiants

pubmed: 36172981
doi: 10.1177/0734242X221126417
doi:

Substances chimiques

Solid Waste 0
Gases 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

903-913

Auteurs

Iqra Basit (I)

Remote Sensing, GIS and Climate Research Lab (National Center of GIS and Space Application), Center for Remote Sensing, University of the Punjab, Lahore, Pakistan.

Fiza Faizi (F)

Remote Sensing, GIS and Climate Research Lab (National Center of GIS and Space Application), Center for Remote Sensing, University of the Punjab, Lahore, Pakistan.

Khalid Mahmood (K)

Remote Sensing, GIS and Climate Research Lab (National Center of GIS and Space Application), Center for Remote Sensing, University of the Punjab, Lahore, Pakistan.
Department of Space Science, University of the Punjab, Lahore, Pakistan.

Mehmet Sinan Bilgili (MS)

Department of Environmental Engineering, Yildiz Technical University, Istanbul, Türkiye.

Yilmaz Yildirim (Y)

Department of Environmental Engineering, Zonguldak Bulent Ecevit Universitesi, Zonguldak, Türkiye.

Fatima Mushtaq (F)

Remote Sensing, GIS and Climate Research Lab (National Center of GIS and Space Application), Center for Remote Sensing, University of the Punjab, Lahore, Pakistan.

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Classifications MeSH