Evidence map›Paper›PMID 41882040›Full record

ArticleScientific reports2026

Temporal dynamics and analysis of pollutant parameters in the water quality entering a reservoir dam.

Raoof Mostafazadeh, Tayebeh Irani, Saeid Mousavi Moghanjoghi, Bita Moezzipour

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Article in Scientific reports, 2026. 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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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Raoof MostafazadehDepartment of Natural Resources and member of Water Management Research Center, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran. raoofmostafazadeh@uma.ac.ir.
Tayebeh IraniWatershed Management Science and Engineering, Department of Range and Watershed Management, Faculty of Natural Resources, Urmia University, Urmia, Iran.
Saeid Mousavi MoghanjoghiDepartment of Environmental Sciences, Islamic Azad University Damavand, Tehran, Iran.
Bita MoezzipourDepartment of Natural Resources, Faculty of Agriculture and Natural Resources, University of Mohaghegh Ardabili, Ardabil, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Assessing water quality changes across water bodies is essential for resource management and environmental protection, as variations influenced by natural and human factors help predict trends and control pollution. This study evaluates temporal trends in key physical, chemical, and biological water quality parameters from 2014 to 2024, entering the Sardasht Reservoir Dam, located in the mountainous region, in order to assess the effects of pollution, natural changes, and human activities on water quality. The data includes physical parameters (temperature, EC, TDS), chemical parameters (BOD, COD, nitrates, heavy metals like Mn and Pb), and biological parameters (total coliforms). The research applied statistical methods, including the Mann-Kendall test and Sen’s slope, to determine trends in these parameters over time. In addition to trend analysis, the study utilized box plots, violin plots, and probability density functions (PDFs) to understand the distribution and variability of water quality values. The results reveal several important trends in water quality at Sardasht Dam. COD showed a significant increasing trend (Tau = 0.224, p = 0.033), indicating rising organic pollution. Several parameters, including TDS and pH, exhibited decreasing trends, though not statistically significant. Mn levels and Temp showed increasing trends, possibly linked to environmental changes like industrial activities or climate change. Significant fluctuations in COD, NO3, and Pb suggest episodic pollution events, potentially from urban or agricultural runoff. DO, pH, and TDS displayed more consistent trends, showing stable water quality in these aspects. These results indicate the rising COD and temperature posing potential threats to water usability and ecosystem health. Elevated manganese levels may lead to sediment accumulation and water treatment challenges. The study recommends closer monitoring and management of inflows to the reservoir, particularly addressing organic pollution, temperature increases, and metal contamination to maintain water quality standards. The results emphasiz the need for strategic pollution control measures, further emphasizing the importance of long-term monitoring in this key water resource. The results show the urgent need for integrated pollution control and sustainable water management strategies to maintain water quality and support long-term reservoir operation.

Indexed as

Graphical analysisPollution controlPollution MonitoringWater quality dynamicsWater Quality Parameters

Identifiers

PMID41882040
PMCPMC13172536

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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.