Evidence map›Paper›PMID 41794893›Full record

ArticleScientific reports2026

Hydrodynamic and water quality simulation of Yangzonghai Lake, Southwest China, using the two-dimensional CE-QUAL-W2 model.

Cheng Tang, Junsong Wang, Lei Zhao, Zahid Hussain, Jidong Zhao, Haitao Feng, Chen Yao

Abstract read
In one paragraph

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

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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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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Cheng TangYunnan Key Laboratory of Pollution Process and Management of Plateau Lake-Watershed, Yunnan Research Academy of Eco-environmental Sciences, Kunming, 650034, China.
Junsong WangYunnan Key Laboratory of Pollution Process and Management of Plateau Lake-Watershed, Yunnan Research Academy of Eco-environmental Sciences, Kunming, 650034, China.
Lei ZhaoFaculty of Geography, Yunnan Normal University, Kunming, 650500, China. zhaolei@ynnu.edu.cn.
Zahid HussainDepartment of Development Studies, COMSATS University Islamabad, Abbottabad Campus, Abbottabad, Pakistan. drzahid@cuiatd.edu.pk.ORCID http://orcid.org/0000-0002-7444-2296
Jidong ZhaoDali Smart Erhai Regulatory Command Center, Dali, Yunnan, China.
Haitao FengYunnan Key Laboratory of Pollution Process and Management of Plateau Lake-Watershed, Yunnan Research Academy of Eco-environmental Sciences, Kunming, 650034, China.
Chen YaoYunnan Investment Company Ltd, Kunming, 650990, China.

Funding

Yunnan Provincial Science and Technology Department Provincial and Municipal Integration Project "Yangzonghai Intelligent Supervision and Intelligent Decision-making Platform R & D Application 202202AH210007
6 · The paper itself

Abstract

Lake eutrophication is a major environmental concern in southwest China, where external inputs of nutrients and organic pollutants adversely impact plateau lakes like Yangzonghai (YZH) Lake. This study applied the two-dimensional CE-QUAL-W2 model to simulate the hydrodynamics and water quality of YZH Lake from 2016 to 2018, aiming to (i) assess the model’s performance for water level and surface temperature, (ii) identify spatial and temporal patterns of water quality, and (iii) determine pollutant reduction targets to meet Class II water standards. The model accurately simulated observed water levels (RMSE = 0.078 m, AME = 0.066 m, R = 0.91, p < 0.001) while moderately predicted surface temperatures (RMSE = 1.82 °C, AME = 1.53 °C, R = 0.80, p < 0.001). Total nitrogen (TN), total phosphorus (TP), and chemical oxygen demand (CODMn) exceeded Class III standards during strong thermal stratification periods, especially near major river inflows like the Baiyi and Yangzonghai Rivers. High nutrient and chlorophyll-α levels with the lowest transparency were observed during summer stratification. External inflows contributed over 70% of the total nutrient and organic matter input. Reducing external loads by 43% (TN), 26% (TP), and 10% (CODMn) annually is crucial to meet Class II standards. At the 75th percentile, 50%, 35%, and 40% reductions, respectively, are required. The internal cycling and hydrodynamics result in a non-linear relationship between load reductions and in-lake concentrations. The study demonstrates both the strengths and limitations of CE-QUAL-W2 model, offering a scientific foundation for establishing realistic pollutant reduction targets for sustainable lake management.

Indexed as

CE-QUAL-W2Nutrient loadingPlateau lakeScenario analysisThermal stratificationWater quality managementYangzonghai Lake

Identifiers

PMID41794893
PMCPMC13087201

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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.