Academic Journal
Multi-perspective analysis on the characteristics of composite non-point source pollution in typical hilly and plain urban aeras.
| Τίτλος: | Multi-perspective analysis on the characteristics of composite non-point source pollution in typical hilly and plain urban aeras. |
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| Συγγραφείς: | Lin, Bingquan1 (AUTHOR), Zhao, Chen2 (AUTHOR), Sun, Dezhi1 (AUTHOR), Li, Ruoyu1 (AUTHOR) bjfuliry@163.com |
| Πηγή: | Journal of Environmental Sciences (Elsevier). Aug2026, Vol. 166, p24-36. 13p. |
| Θεματικοί όροι: | *Pollution, *Data analysis, Nonpoint source pollution, Urban runoff, Combined sewer overflows, Dissolved organic matter, Runoff models, Particulate matter |
| Περίληψη: | • Functional data analysis can accurately identify the intensity of the FF effect. • Improved index model can effectively evaluate the UCNPS risk. • The PSD and sources of particles in surface runoff, CSO and FFR were identified. • The characteristic EEMs of UCNPS pollution were identified. Urban composite non-point source (UCNPS) pollution has emerged as a critical bottleneck in improving watershed water quality. Currently, the understanding of its pollution characteristics in different type of urban still not comprehensive. This study systematically analyzed the pollution characteristics of UCNPS in typical hilly and plain urban aeras across three perspectives: pollutant concentration, particles composition, and dissolved organic matter (DOM) composition. The results revealed that: (1) Exponential wash-off model and functional data analysis can effectively quantify the first flush intensity of surface runoff, identifying that the first flush intensity in hilly urban was generally stronger than that in plain urban; (2) the improved exponential model can effectively identify the catchments with high UCNPS loads; (3) the particles in surface runoff and first-flush rainwater (FFR) from separate systems were primarily in the 4–63 μm range. The particles size distribution of combined sewer overflow (CSO) effluent was influenced by pipe flow velocity, with notable regional differences. Surface runoff was the primary source of particles in pipe runoff, while its own particles mainly originated from vehicle exhaust (6 %-56 %), soil (8 %-68 %), and brake wear (14 %-22 %); (4) DOM in surface runoff was predominantly composed of humic-like acids (26.29 %), while FFR and CSO were dominated by tryptophan-like components (26.85 % and 24.93 %). Multi-perspective analysis of UCNPS pollution characteristics can support to control it efficiently. [Display omitted] [ABSTRACT FROM AUTHOR] |
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| Items | – Name: Title Label: Title Group: Ti Data: Multi-perspective analysis on the characteristics of composite non-point source pollution in typical hilly and plain urban aeras. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Lin%2C+Bingquan%22">Lin, Bingquan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Zhao%2C+Chen%22">Zhao, Chen</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sun%2C+Dezhi%22">Sun, Dezhi</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Li%2C+Ruoyu%22">Li, Ruoyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> bjfuliry@163.com</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Environmental+Sciences+%28Elsevier%29%22">Journal of Environmental Sciences (Elsevier)</searchLink>. Aug2026, Vol. 166, p24-36. 13p. – Name: Subject Label: Subject Terms Group: Su Data: *<searchLink fieldCode="DE" term="%22Pollution%22">Pollution</searchLink><br />*<searchLink fieldCode="DE" term="%22Data+analysis%22">Data analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Nonpoint+source+pollution%22">Nonpoint source pollution</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+runoff%22">Urban runoff</searchLink><br /><searchLink fieldCode="DE" term="%22Combined+sewer+overflows%22">Combined sewer overflows</searchLink><br /><searchLink fieldCode="DE" term="%22Dissolved+organic+matter%22">Dissolved organic matter</searchLink><br /><searchLink fieldCode="DE" term="%22Runoff+models%22">Runoff models</searchLink><br /><searchLink fieldCode="DE" term="%22Particulate+matter%22">Particulate matter</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: • Functional data analysis can accurately identify the intensity of the FF effect. • Improved index model can effectively evaluate the UCNPS risk. • The PSD and sources of particles in surface runoff, CSO and FFR were identified. • The characteristic EEMs of UCNPS pollution were identified. Urban composite non-point source (UCNPS) pollution has emerged as a critical bottleneck in improving watershed water quality. Currently, the understanding of its pollution characteristics in different type of urban still not comprehensive. This study systematically analyzed the pollution characteristics of UCNPS in typical hilly and plain urban aeras across three perspectives: pollutant concentration, particles composition, and dissolved organic matter (DOM) composition. The results revealed that: (1) Exponential wash-off model and functional data analysis can effectively quantify the first flush intensity of surface runoff, identifying that the first flush intensity in hilly urban was generally stronger than that in plain urban; (2) the improved exponential model can effectively identify the catchments with high UCNPS loads; (3) the particles in surface runoff and first-flush rainwater (FFR) from separate systems were primarily in the 4–63 μm range. The particles size distribution of combined sewer overflow (CSO) effluent was influenced by pipe flow velocity, with notable regional differences. Surface runoff was the primary source of particles in pipe runoff, while its own particles mainly originated from vehicle exhaust (6 %-56 %), soil (8 %-68 %), and brake wear (14 %-22 %); (4) DOM in surface runoff was predominantly composed of humic-like acids (26.29 %), while FFR and CSO were dominated by tryptophan-like components (26.85 % and 24.93 %). Multi-perspective analysis of UCNPS pollution characteristics can support to control it efficiently. [Display omitted] [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Environmental Sciences (Elsevier) is the property of Elsevier B.V. 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: 10.1016/j.jes.2025.08.049 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 13 StartPage: 24 Subjects: – SubjectFull: Pollution Type: general – SubjectFull: Data analysis Type: general – SubjectFull: Nonpoint source pollution Type: general – SubjectFull: Urban runoff Type: general – SubjectFull: Combined sewer overflows Type: general – SubjectFull: Dissolved organic matter Type: general – SubjectFull: Runoff models Type: general – SubjectFull: Particulate matter Type: general Titles: – TitleFull: Multi-perspective analysis on the characteristics of composite non-point source pollution in typical hilly and plain urban aeras. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Lin, Bingquan – PersonEntity: Name: NameFull: Zhao, Chen – PersonEntity: Name: NameFull: Sun, Dezhi – PersonEntity: Name: NameFull: Li, Ruoyu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2026 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 10010742 Numbering: – Type: volume Value: 166 Titles: – TitleFull: Journal of Environmental Sciences (Elsevier) Type: main |
| ResultId | 1 |