Evidence map›Paper›PMID 42091612›Full record

ArticleScientific reports2026

A 24-year integrated assessment of fluoride in surface waters of Jinhua, China: spatiotemporal distribution, risk dynamics, and future projections.

Hongdong Lang, Yongzheng Huang, Yuling Xu

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Hongdong LangZhejiang Jinhua Ecological Environment Monitoring Center, Jinhua, 321015, China. langhd@126.com.
Yongzheng HuangJinhua Environmental Protection Science and Industry Federation, Jinhua, 321015, China.
Yuling XuZhejiang Jinhua Ecological Environment Monitoring Center, Jinhua, 321015, China.

Funding

Jinhua Municipal Association for Science and Technology Academic Research Project Grant No. 2024-04Jinhua Municipal Public Welfare Technology Application Research Project Grant No. 2025-4-176
6 · The paper itself

Abstract

Fluoride contamination poses a significant global environmental and public health challenge. This study presents a comprehensive analysis of fluoride levels in the surface waters of Jinhua, China, utilizing a unique 24-year monitoring dataset (2001-2024) and a multi-faceted methodological framework. This framework integrated ecological and human health risk assessments with short-term forecasting via a hybrid ARIMA-Holt-Winters model. The multi-year mean fluoride concentration was 0.641 mg/L, 1.68-fold the regional background level but below the national drinking water standard (1.0 mg/L). Pronounced spatial and seasonal variations were observed, with downstream concentrations 137-320% higher than upstream, and dry-season levels elevated by 19.8-24.1%. Ecological risk was generally low (median risk quotient = 0.30). Health risk assessment identified children as the most vulnerable group; a pivotal shift in water source function in 2016 reduced their median hazard quotient(HQ) by approximately 97.0%. Forecasts for 2025-2029 indicate a marginal concentration increase, with risks remaining manageable. This study underscores the efficacy of source-water management and provides a transferable framework for proactive fluoride mitigation in industrial-urban regions.

Indexed as

Drinking WaterEnvironmental MonitoringFluoridesWater Pollutants, ChemicalChinaForecastingHumansRisk AssessmentSeasonsSpatio-Temporal AnalysisDrinking WaterFluoridesWater Pollutants, ChemicalEcological risk assessmentFluoride contaminationHealth risk assessmentJinhua basinLong-term monitoring

Identifiers

PMID42091612
PMCPMC13338402

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.