Evidence map›Paper›PMID 41339370›Full record

ArticleScientific reports2025

Analysis of karst groundwater runoff conditions based on statistics and reverse hydrogeochemical modeling methods.

Sun Hui, Mo Shuhong, Lyu Jingyu, Yan Siyu, Peng Honglan

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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.

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Sun HuiState Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi'an University of Technology, Xi'an, 710048, China.
Mo ShuhongState Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi'an University of Technology, Xi'an, 710048, China. moshuhong@xaut.edu.cn.
Lyu JingyuState Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi'an University of Technology, Xi'an, 710048, China.
Yan SiyuState Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi'an University of Technology, Xi'an, 710048, China.
Peng HonglanState Key Laboratory of Water Engineering Ecology and Environment in Arid Area, Xi'an University of Technology, Xi'an, 710048, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Karst groundwater is widely distributed in China, and karst water resources are the main source of water for human life, industry, and agriculture. To scientifically understand and rationally exploit karst groundwater, it is necessary to analyze the runoff conditions of karst groundwater. This study comprehensively applied statistical methods, Shukalev classification, reverse hydrogeochemical modeling, and Kriging interpolation in ArcGIS to analyze the hydrochemical characteristics and runoff conditions of the three karst groundwater runoff belts in the Fengfeng mining area. The results show that: (1) The hydrochemical type in the study area is mainly HCO

Indexed as

Hydrochemical typeHydrogeochemical modelingKarst groundwaterRunoff condition

Identifiers

PMID41339370
PMCPMC12678435

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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.