Academic Journal
Q1Environmental Science: Advances
About Environmental Science: Advances
Environmental Science: Advances is a scholarly journal published by Royal Society of Chemistry. SCImago 2025 lists it in Q1, with an SJR of 1.394 and H-index of 31.
Coverage: 2022-2026. Research categories: Environmental Chemistry (Q1); Environmental Engineering (Q1); Pollution (Q1); Water Science and Technology (Q1).
Verified field sources
- Journal Impact Factor: 6.7 — Official source; checked 2026-10-03. Current journal information published by the Royal Society of Chemistry; editorial role retained as labelled by the publisher.
- Impact Factor year: 2025 — Official source; checked 2026-10-03. Current journal information published by the Royal Society of Chemistry; editorial role retained as labelled by the publisher.
- Editor(s): Zongwei Cai , Kevin Jones and Célia M Manaia (Editors-in-Chief) — Official source; checked 2026-10-03. Current journal information published by the Royal Society of Chemistry; editorial role retained as labelled by the publisher.
Open-access policies and author information
Reported in the official DOAJ public CSV snapshot (2026-09-01), downloaded 2026-10-03. Record updated 2025-06-29. This snapshot does not establish today’s listing status or fee quotation.
Publisher policy links recorded by DOAJ
- Aims and scope ↗
- Editorial board ↗
- Instructions for authors ↗
- Peer-review policy ↗
- Publication fees ↗
- Fee waivers ↗
- Licence terms ↗
- Copyright policy ↗
- Preservation policy ↗
Source: DOAJ journal record. Journal metadata is distributed by DOAJ under CC0. Confirm current fees, tax, eligibility and waiver terms with the publisher.
Source-backed journal facts
Topics in published research
Diverse Scientific and Economic Studies; Microplastics and Plastic Pollution; Recycling and Waste Management Techniques; Mathematics, Computing, and Information Processing; Toxic Organic Pollutants Impact; Advanced Photocatalysis Techniques.
OpenAlex classifies topics from published works. These topics are not the publisher’s official aims and scope.
Source: OpenAlex source record. Retrieved 2026-10-03. Source record updated 2026-10-02. OpenAlex metrics are different from SCImago metrics and the Clarivate Journal Impact Factor.
Journal Metrics
Quartile, SJR and the listed SCImago H-index use the 2025 imported SCImago dataset. A quartile may vary by subject category. Values without a source or reporting year are unverified historical entries. Verify the current Journal Impact Factor with Clarivate or the publisher before using it.
Aims & Scope
The publisher’s official aims and scope have not yet been verified for this profile. Use the journal website to check subject fit and accepted article types before submitting.
Recent Research Articles
Latest publications matched automatically by ISSN.
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2026 · DOI: 10.1039/d5va00274eToluene adsorption and capacity regeneration using zeolite-based monolith and activated carbon fiber felt
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2026 · DOI: 10.1039/d5va00247hSpectroscopic investigation of the effects of simulated open waste burning on the functional and surface chemistry of commercial polystyrene
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2026 · DOI: 10.1039/d5va00291eFlame retardants in dust from the indoor environments of expedition cruise ships
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2026 · DOI: 10.1039/d6va00305bContents list
2026 · DOI: 10.1039/d6va90006bDriving ESG excellence in the pharmaceutical sector through an analytical approach: a roadmap for score improvement
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2026 · DOI: 10.1039/d5va00286aDegradation of per- and polyfluoroalkyl substances (PFASs) by Fenton reactions
Zhicong Huang, Xi Huang, Kang Liu, Junwei Fu et al.
2026 · DOI: 10.1039/d5va00262aWildland fire impacts on temporal and spatial patterns of trace elements in smelter-affected semiarid soils
Vojtěch Ettler, Martin Mihaljevič, Tereza Zádorová, Daniel Žížala et al.
2026 · DOI: 10.1039/d6va00064aAlkali metal ion-doped Bi 2 O 2 CO 3 enhances ·OH generation via interfacial water activation for efficient toluene photodegradation
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2026 · DOI: 10.1039/d5va00324eFront cover
2026 · DOI: 10.1039/d6va90030eEvaluating groundwater quality in an arsenic-contaminated aquifer in the Red River Delta using machine learning: a case study in Van Phuc, Hanoi, Vietnam
Thi Duyen Vu, Thanh Dam Nguyen, Thi Kim Trang Pham, Michael Berg et al.
2026 · DOI: 10.1039/d5va00368gReviews
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Version History
September 25, 2026 at 7:31 am
September 25, 2026