Evidence map›Paper›PMID 38882358›Full record

ArticleHeliyon2024

Multidimensional water level and water quality response to severe drought in Xingyun Lake.

Junxu Chen, Jia Xu, Qi Yi, Jiabin Peng, Yang Lang, Liang Emlyn Yang, Jihui Zhang

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

7 authors.

Junxu ChenInternational Joint Research Center for Karstology, Yunnan University, Kunming, 650091, China.
Jia XuInternational Joint Research Center for Karstology, Yunnan University, Kunming, 650091, China.
Qi YiInternational Joint Research Center for Karstology, Yunnan University, Kunming, 650091, China.
Jiabin PengInternational Joint Research Center for Karstology, Yunnan University, Kunming, 650091, China.
Yang LangInternational Joint Research Center for Karstology, Yunnan University, Kunming, 650091, China.
Liang Emlyn YangDepartment of Geography, Ludwig Maximilian University of Munich (LMU), Munich, 80333, Germany.
Jihui ZhangInternational Joint Research Center for Karstology, Yunnan University, Kunming, 650091, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drought stress has a significant impact on the quality and quantity of lake water. Understanding this impact is crucial for preventing water security risks and pollution recovery. However, there is a lack of systemic understanding of how drought affects water quality and quantity, and how they change in multiple dimensions. This manuscript established a synthesized methodology with the principles to judge the applicability and three steps of application to detect the change in water quality and water level under severe drought in Xingyun Lake, China. Results show that (1) The water level and water quality of Xingyun Lake have a synchronous and evident response to drought during 2009-2014. The rainfall during 2008-2015 declined by 22.9 % to normal, and the inundated area and lake water depth in 2012 decreased by 10.50 % from 2002 to 1.38 m to the average depth, respectively. The pollution index climbed above 1.21 after 2008, fluctuating around 1.42. (2) Under drought, the water quality indicators significantly changed in the terms of the overall feature, trend, eigenvalue, and morphological characteristics. The water quality indicators of Set

Indexed as

Severe droughtStatistics testSynthesized methodologyWater levelWater quality

Identifiers

PMID38882358
PMCPMC11180315

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.