Evidence map›Paper›PMID 41290717›Full record

ArticleScientific reports2025

Hydrological response and soil water soluble antimony and arsenic transport under climate change using SWAT modeling.

Chujie Bu, Pan Wu, Jie Niu, Yonglin Chen, Jiangxun Huang, Bo Liu

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
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0citing papers in PubMed
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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

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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

6 authors.

Chujie BuCollege of Resource and Environmental Engineering, Guizhou University, Guiyang, 550025, China.
Pan WuCollege of Resource and Environmental Engineering, Guizhou University, Guiyang, 550025, China. pwu@gzu.edu.cn.
Jie NiuCollege of Resource and Environmental Engineering, Guizhou University, Guiyang, 550025, China. jniu@gzu.edu.cn.
Yonglin ChenCollege of Resource and Environmental Engineering, Guizhou University, Guiyang, 550025, China.
Jiangxun HuangCollege of Resource and Environmental Engineering, Guizhou University, Guiyang, 550025, China.
Bo LiuCollege of Resource and Environmental Engineering, Guizhou University, Guiyang, 550025, China.

Funding

Guizhou Provincial Program on Commercialization of Scientific and Technological Achievements [2023] 006Guizhou Provincial Science and Technology Support Projects Qiankehe Support[2024]057High-Level Talent Training Program in Guizhou Province GCC[2023]045
6 · The paper itself

Abstract

Climate change affects hydrological processes globally, impacting the water-soluble forms of metals such as antimony (Sb) and arsenic (As) in various soils. This study developed an enhanced SWAT-based framework incorporating soil experiment data and coupled it with SSP scenarios (SSP126, SSP245, SSP370, SSP585) to project future hydrological processes, and then assessed water-soluble proportions of Sb and As distribution under climate change based on cluster analysis results of soil, precipitation, and streamflow classification. The model, incorporating measured values, accurately simulated the streamflow and sediment loads of the study area during the historical period. Under the climate scenarios, the study area exhibited trends of fluctuating precipitation and rising temperatures; compared to the reference period (2008-2014), the total streamflow generally increased across all scenarios. Experimental results revealed that Sb and As concentrations exceeded standards, with pH and soil organic matter showing significant correlations with the water-soluble proportions of these metals. Analyzing the combined results from soil, precipitation, and streamflow cluster analyses indicated that a higher percentage of water-soluble Sb and a higher percentage of water-soluble As are likely to be distributed in the subbasins along the main river in the east, potentially increasing over time. These results offer a scientific foundation for water resource management and pollutant mitigation in mining watershed areas.

Indexed as

Scenario analysisSoil heavy metal migrationWatershed managementWater-soluble metals

Identifiers

PMID41290717
PMCPMC12647613

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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.