Evidence map›Paper›PMID 41193523›Full record

ArticleScientific reports2025

Variability in water quality and chlorophyll a in the middle route of the south to north water diversion project.

Aiping Huang, Xiaobo Liu, Fei Dong, Wenqi Peng, Bing Ma, Weijie Wang, Xiaochen Yang

Abstract read
PubMed Full text at PMC Publisher
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
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

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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

7 authors.

Aiping HuangState Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
Xiaobo LiuState Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China. xbliu@iwhr.com.
Fei DongState Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
Wenqi PengState Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
Bing MaState Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
Weijie WangState Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.
Xiaochen YangState Key Laboratory of Water Cycle and Water Security, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China.

Funding

National Key Research and Development Program of China 2021YFC3200903National Natural Science Foundation of China 52409110
6 · The paper itself

Abstract

The Middle Route (MR) of the South to North Water Diversion Project of China (SNWDPC) is one of the most important cross-basin water diversion projects worldwide, leading to substantial attention on the water environment of the project. In order to evaluate the water environment status of the MR of the SNWDPC, the spatiotemporal variations and underlying causes in the water environment along the route are systematically revealed in this study. The data were analyzed using the water quality index (WQI) and Spearman correlation analysis. The results showed annual average WQI values ranging from 91.76 to 92.90 during the period of 2019 to 2022, indicating the water quality status of "excellent." However, permanganate index (COD

Indexed as

Chlorophyll AEnvironmental MonitoringWater QualityChinaWater Pollutants, ChemicalChlorophyll AWater Pollutants, ChemicalChlorophyll aCODMnCross-basin water diversion projectMiddle route of the south to north water diversion project of ChinaWater quality analysisWater quality index

Identifiers

PMID41193523
PMCPMC12589490

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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.