Comparative analysis of Ball Mapper and conventional Mapper in investigating air pollutants' behavior.
Uloženo v:
| Název: | Comparative analysis of Ball Mapper and conventional Mapper in investigating air pollutants' behavior. |
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| Autoři: | Madukpe VN; School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia., Zulkepli NFS; School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia. farihasyaqina@usm.my., Noorani MSM; Department of Mathematical Sciences, Faculty of Science and Technology, Universiti Kebangsaan Malaysia, 43600, Bangi, Selangor, Malaysia., Gobithaasan RU; School of Mathematical Sciences, Universiti Sains Malaysia, 11800 USM, Penang, Malaysia. |
| Zdroj: | Environmental monitoring and assessment [Environ Monit Assess] 2025 Jan 06; Vol. 197 (2), pp. 136. Date of Electronic Publication: 2025 Jan 06. |
| Způsob vydávání: | Journal Article; Comparative Study |
| Jazyk: | English |
| Informace o časopise: | Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE |
| Imprint Name(s): | Publication: 1998- : Dordrecht : Springer Original Publication: Dordrecht, Holland ; Boston : D. Reidel Pub. Co., c1981- |
| Výrazy ze slovníku MeSH: | Environmental Monitoring*/methods , Air Pollutants*/analysis , Air Pollution*/statistics & numerical data, Malaysia ; Particulate Matter/analysis ; Ozone/analysis ; Sulfur Dioxide/analysis |
| Abstrakt: | This study investigates the effectiveness and efficiency of two topological data analysis (TDA) techniques, the conventional Mapper (CM) and its variant version, the Ball Mapper (BM), in analyzing the behavior of six major air pollutants (NO (© 2025. The Author(s), under exclusive licence to Springer Nature Switzerland AG.) |
| Competing Interests: | Declarations. Ethics approval: This declaration is not applicable, as this study does not involve human images, human data, or the use of animals. Competing interests: The authors declare no competing interests. |
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| Contributed Indexing: | Keywords: Air pollution; Ball Mapper algorithm; Hierarchical agglomerative clustering algorithm; Mapper algorithm; Topological data analysis; Topological graph |
| Substance Nomenclature: | 0 (Air Pollutants) 0 (Particulate Matter) 66H7ZZK23N (Ozone) 0UZA3422Q4 (Sulfur Dioxide) |
| Entry Date(s): | Date Created: 20250106 Date Completed: 20250106 Latest Revision: 20250211 |
| Update Code: | 20250211 |
| DOI: | 10.1007/s10661-024-13477-2 |
| PMID: | 39760901 |
| Databáze: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstrakt: | This study investigates the effectiveness and efficiency of two topological data analysis (TDA) techniques, the conventional Mapper (CM) and its variant version, the Ball Mapper (BM), in analyzing the behavior of six major air pollutants (NO <subscript>2</subscript> , PM <subscript>10</subscript> , PM <subscript>2.5</subscript> , O <subscript>3</subscript> , CO, and SO <subscript>2</subscript> ) across 60 air quality monitoring stations in Malaysia. Topological graphs produced by CM and BM reveal redundant monitoring stations and geographical relationships corresponding to air pollutant behavior, providing better visualization than traditional hierarchical clustering. Additionally, a comparative analysis of topological graph structures was conducted using node degree distribution, topological graph indices, and Dynamic Time Warping (DTW) to evaluate the sensitivity and performance of these TDA techniques. Both approaches yielded valuable insights in representing the air quality monitoring stations network; however, the complexity of CM, which requires multiple parameters, poses a challenge in graph construction. In contrast, the simplicity of BM, requiring only a single parameter, is preferable for representing air pollutant behavior. The findings suggest an alternative approach for assessing and identifying redundancies in air quality monitoring stations, which could contribute to improved air quality monitoring management and more effective regulatory policies.<br /> (© 2025. The Author(s), under exclusive licence to Springer Nature Switzerland AG.) |
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| ISSN: | 1573-2959 |
| DOI: | 10.1007/s10661-024-13477-2 |