Arash Gitifar, Farzin Naghibalsadati, Nima Karimi, Anika Tahsin Abha, Rumpa Chowdhury, Kelvin Tsun Wai Ng
{"title":"Influence of geometrical shape on thermal heterogeneity in closed landfill sites","authors":"Arash Gitifar, Farzin Naghibalsadati, Nima Karimi, Anika Tahsin Abha, Rumpa Chowdhury, Kelvin Tsun Wai Ng","doi":"10.1016/j.ecoinf.2025.103219","DOIUrl":null,"url":null,"abstract":"<div><div>Thermal heterogeneity assessment in landfill sites is essential for identification of potential hazards. The relationship between landfill geometrical shape and land surface thermal heterogeneity is not well understood. This study examines the association between landfills' shape configuration and thermal heterogeneity by using two mathematical shape factors on thirty-eight closed landfills. Three different multiple linear regression models were developed for landfill sites of various sizes. Geometrical shape analysis of the sites shows that all landfills surpass the 0.5 threshold, suggesting a tendency toward regular shapes and a systematic approach in their design and operation, with a mean elongation and compactness shape factor of 0.819, and 0.724, respectively. This pattern likely accommodates land use constraints and proximity to neighboring properties, with boundaries confined by the surrounding road network. In larger landfill sites, the elongation shape factor exhibits a higher coefficient (−0.46) than the compactness shape factor (−0.35), indicating its stronger association on thermal heterogeneity of the site. This finding helps to develop strategies for better thermal management and environmental safety of large landfill sites. The negative coefficients for all the site groups (small, medium, and large) suggest that a more compact and regular shape may promote thermal homogeneity in closed landfills. The proposed method improves monitoring of closed landfills and contributes to the development of evidence-based landfill design guidelines and regulations.</div></div>","PeriodicalId":51024,"journal":{"name":"Ecological Informatics","volume":"90 ","pages":"Article 103219"},"PeriodicalIF":7.3000,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Informatics","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1574954125002286","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Thermal heterogeneity assessment in landfill sites is essential for identification of potential hazards. The relationship between landfill geometrical shape and land surface thermal heterogeneity is not well understood. This study examines the association between landfills' shape configuration and thermal heterogeneity by using two mathematical shape factors on thirty-eight closed landfills. Three different multiple linear regression models were developed for landfill sites of various sizes. Geometrical shape analysis of the sites shows that all landfills surpass the 0.5 threshold, suggesting a tendency toward regular shapes and a systematic approach in their design and operation, with a mean elongation and compactness shape factor of 0.819, and 0.724, respectively. This pattern likely accommodates land use constraints and proximity to neighboring properties, with boundaries confined by the surrounding road network. In larger landfill sites, the elongation shape factor exhibits a higher coefficient (−0.46) than the compactness shape factor (−0.35), indicating its stronger association on thermal heterogeneity of the site. This finding helps to develop strategies for better thermal management and environmental safety of large landfill sites. The negative coefficients for all the site groups (small, medium, and large) suggest that a more compact and regular shape may promote thermal homogeneity in closed landfills. The proposed method improves monitoring of closed landfills and contributes to the development of evidence-based landfill design guidelines and regulations.
期刊介绍:
The journal Ecological Informatics is devoted to the publication of high quality, peer-reviewed articles on all aspects of computational ecology, data science and biogeography. The scope of the journal takes into account the data-intensive nature of ecology, the growing capacity of information technology to access, harness and leverage complex data as well as the critical need for informing sustainable management in view of global environmental and climate change.
The nature of the journal is interdisciplinary at the crossover between ecology and informatics. It focuses on novel concepts and techniques for image- and genome-based monitoring and interpretation, sensor- and multimedia-based data acquisition, internet-based data archiving and sharing, data assimilation, modelling and prediction of ecological data.