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Article: Cross-media transfer of nitrogen pollution in the fast-urbanized Greater Bay Area of China: Trends and essential control paths

TitleCross-media transfer of nitrogen pollution in the fast-urbanized Greater Bay Area of China: Trends and essential control paths
Authors
KeywordsCollaborative pollution control
Cross-media pollution transfer
Ecological network analysis
Scenario analysis
Urban nitrogen metabolism
Issue Date23-Nov-2022
PublisherElsevier
Citation
Journal of Environmental Management, 2023, v. 326 How to Cite?
Abstract

For urban agglomerations in the bay area, which concentrate multiple environmental elements and intense anthropogenic activities, comprehensive control of nitrogen pollution is particularly challenging due to diverse cross-media migration and transformation forms of nitrogen pollutants. Existing studies on urban nitrogen metabolism mainly focused on quantification of nitrogen flux, without systematic consideration of physiochemical changes of nitrogen between environmental media. This study conducted a dynamic simulation of nitrogen cross-media metabolism in urban agglomeration over 30 consecutive years, and recognized the types, quantities, and trends of cross-media transfer of nitrogen pollution as well as pollution control paths based on ecological network analysis and scenario analysis. Taking the Guangdong-Hong Kong-Macao Greater Bay Area as the case, results show that during its fast-urbanized stage in 1989–2018, more than 25% of the total nitrogen pollution emissions were transferred from other media. The higher degree of imbalance between the socioeconomic system and the soil in the nitrogen metabolic network emphasizes the increased pressure and necessity of pollution control of nitrogen in the solid state with urban development. Promoting fertilizer reduction and sludge land use are priority paths for collaborative control of cross-media nitrogen pollution. The study provides methods to systematically analyze the features of cross-media transfer of nitrogen pollution at the city level, and accordingly propose paths aiming at sustainable urban nitrogen management with multi-media integrity and synergy.


Persistent Identifierhttp://hdl.handle.net/10722/356805
ISSN
2023 Impact Factor: 8.0
2023 SCImago Journal Rankings: 1.771
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorChen, Chen-
dc.contributor.authorWen, Zongguo-
dc.date.accessioned2025-06-19T00:35:09Z-
dc.date.available2025-06-19T00:35:09Z-
dc.date.issued2022-11-23-
dc.identifier.citationJournal of Environmental Management, 2023, v. 326-
dc.identifier.issn0301-4797-
dc.identifier.urihttp://hdl.handle.net/10722/356805-
dc.description.abstract<p>For urban agglomerations in the bay area, which concentrate multiple environmental elements and intense <a href="https://www.sciencedirect.com/topics/engineering/anthropogenic-activity" title="Learn more about anthropogenic activities from ScienceDirect's AI-generated Topic Pages">anthropogenic activities</a>, comprehensive control of nitrogen pollution is particularly challenging due to diverse cross-media migration and transformation forms of nitrogen pollutants. Existing studies on urban <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/nitrogen-metabolism" title="Learn more about nitrogen metabolism from ScienceDirect's AI-generated Topic Pages">nitrogen metabolism</a> mainly focused on quantification of nitrogen flux, without systematic consideration of physiochemical changes of nitrogen between environmental media. This study conducted a dynamic simulation of nitrogen cross-media metabolism in urban agglomeration over 30 consecutive years, and recognized the types, quantities, and trends of cross-media transfer of nitrogen pollution as well as <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/pollution-control" title="Learn more about pollution control from ScienceDirect's AI-generated Topic Pages">pollution control</a> paths based on ecological <a href="https://www.sciencedirect.com/topics/engineering/electric-network-analysis" title="Learn more about network analysis from ScienceDirect's AI-generated Topic Pages">network analysis</a> and scenario analysis. Taking the Guangdong-Hong Kong-Macao Greater Bay Area as the case, results show that during its fast-urbanized stage in 1989–2018, more than 25% of the total nitrogen pollution emissions were transferred from other media. The higher degree of imbalance between the socioeconomic system and the soil in the nitrogen metabolic network emphasizes the increased pressure and necessity of <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/pollution-control" title="Learn more about pollution control from ScienceDirect's AI-generated Topic Pages">pollution control</a> of nitrogen in the solid state with urban development. Promoting fertilizer reduction and <a href="https://www.sciencedirect.com/topics/earth-and-planetary-sciences/sludge" title="Learn more about sludge from ScienceDirect's AI-generated Topic Pages">sludge</a> land use are priority paths for <a href="https://www.sciencedirect.com/topics/engineering/collaborative-control" title="Learn more about collaborative control from ScienceDirect's AI-generated Topic Pages">collaborative control</a> of cross-media nitrogen pollution. The study provides methods to systematically analyze the features of cross-media transfer of nitrogen pollution at the city level, and accordingly propose paths aiming at sustainable urban nitrogen management with multi-media integrity and synergy.<br></p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofJournal of Environmental Management-
dc.subjectCollaborative pollution control-
dc.subjectCross-media pollution transfer-
dc.subjectEcological network analysis-
dc.subjectScenario analysis-
dc.subjectUrban nitrogen metabolism-
dc.titleCross-media transfer of nitrogen pollution in the fast-urbanized Greater Bay Area of China: Trends and essential control paths-
dc.typeArticle-
dc.identifier.doi10.1016/j.jenvman.2022.116796-
dc.identifier.scopuseid_2-s2.0-85142378188-
dc.identifier.volume326-
dc.identifier.isiWOS:000891734100007-
dc.identifier.issnl0301-4797-

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