Evidence map›Paper›PMID 41372329›Full record

ArticleScientific reports2025

Study on the climate impacts on the reservoir waterlevel.

Xiaoyu Cui, Lu 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
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

2 authors.

Xiaoyu CuiSchool of Economics, Southwestern University of Finance and Economics, 555 Liutai Avenue, Wenjiang District, Chengdu, 611130, Sichuan, China.
Lu LiuSchool of Economics, Southwestern University of Finance and Economics, 555 Liutai Avenue, Wenjiang District, Chengdu, 611130, Sichuan, China. liulu@swufe.edu.cn.

Funding

Southwestern University of Finance and Economics Supported by Guanghua Talent Project of Southwestern University of Finance and Economics
6 · The paper itself

Abstract

Climate change poses significant challenges to the stability of hydropower systems, and the increased frequency of extreme weather events due to global warming further exacerbates these challenges. To reduce the climate vulnerability of hydropower systems, this study assessed the impact of temperature and precipitation variations on reservoir water level dynamics. Using daily water level data from 17 reservoirs in Sichuan Province, China, this study enhanced a benchmark model by incorporating nonlinear functions that more realistically represent actual conditions than linear functions. Within a linear regression framework, this study incorporated quadratic terms for temperature and precipitation. This constructed a model that accurately quantifies the relationship between climatic factors and the first-order difference of reservoir water level. The results demonstrate that both temperature and precipitation significantly and nonlinearly drive reservoir water level fluctuations. This study successfully characterized the complex relationship between water level fluctuations and climatic variables using a quadratic function and performed an in-depth analysis of the Marginal Rate of Substitution (MRS) between temperature and precipitation. A key finding reveals that the MRS exhibits dynamic dependency, with its numerical values and trends depending on specific temperature and precipitation levels. A turning point in the MRS trend occurs when precipitation reaches 17 centimeters and the temperature is 13.5 °C, which is a critical point for reservoir managers to monitor. Against the backdrop of global climate change threatening water security, this study quantitatively uncovers the dynamic nonlinear coupling mechanisms between climatic factors and reservoir water level. The identified critical tipping points offer deeper insights into climate impacts on reservoir operations, carrying significant theoretical and practical implications for building resilient, sustainable water resource management systems and optimizing hydropower system operations.

Indexed as

Managed reservoir systemsMarginal rate of substitutionNon-linearityRainfallReservoir water levelTemperature

Identifiers

PMID41372329
PMCPMC12769543

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.