Evidence map›Paper›PMID 39294208›Full record

ArticleScientific reports2024

Identifying environmental impacts on planktonic algal proliferation and associated risks: a five-year observation study in Danjiangkou Reservoir, China.

Xizhi Nong, Xian Guan, Lihua Chen, Jiahua Wei, Ronghui Li

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In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xizhi NongSchool of Civil Engineering and Architecture, Guangxi University, Nanning, 530004, China. nongxizhi@gxu.edu.cn.
Xian GuanSchool of Civil Engineering and Architecture, Guangxi University, Nanning, 530004, China.
Lihua ChenSchool of Civil Engineering and Architecture, Guangxi University, Nanning, 530004, China.
Jiahua WeiState Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China.
Ronghui LiSchool of Civil Engineering and Architecture, Guangxi University, Nanning, 530004, China. lironghui@gxu.edu.cn.

Funding

Belt and Road Special Foundation of the National Key Laboratory of Water Disaster Prevention No.2022nkms06National Natural Science Foundation of China No.52079033National Natural Science Foundation of China No.52309016Specific Research Project of Guangxi for Research Bases and Talents No.AD22035185
6 · The paper itself

Abstract

Understanding the risks of planktonic algal proliferation and its environmental causes is crucial for protecting water quality and controlling ecological risks. Reservoirs, due to the characteristics of slow flow rates and long hydraulic retention times, are more prone to eutrophication and algal proliferation. Chlorophyll-a (Chl-a) serves as an indicator of planktonic algal biomass. Exploring the intricate interactions and driving mechanisms between Chl-a and the water environment, and the potential risks of algal blooms, is crucial for ensuring the ecological safety of reservoirs and the health of water users. This study focused on the Danjiangkou Reservoir (DJKR), the core water source of the Middle Route of the South-to-North Water Diversion Project of China (MRSNWDPC). The multivariate statistical methods and structural equation modeling were used to explore the relationships between chlorophyll-a (Chl-a) contents and water quality factors and understand the driving mechanisms affecting Chl-a variations. The Copula function and Bayesian theory were combined to analyze the risk of changes in Chl-a concentrations at Taocha (TC) station, which is the core water source intake point of the MRSNWDPC. The results showed that the factors driving planktonic algal proliferation were spatially heterogeneous. The main factors affecting Chl-a concentrations in Dan Reservoir (DR) were water physicochemical factors (water temperature, dissolved oxygen, pH value, and turbidity) with a total contribution rate of 60.18%, whereas those in Han Reservoir (HR) were nutrient factors (total nitrogen, total phosphorus, and ammonia nitrogen) with a total contribution rate of 73.58%. In TC, the main factors were water physicochemical factors (turbidity, pH, and water temperature) and nutrient factors (total phosphorus) with total contribution rates of 39.76% and 45.78%, respectively. When Chl-a concentrations in other areas of the DJKR ranged from the minimum to the uppermost quartile, the probabilities that Chl-a concentrations at the TC station exceeded 3.4 μg/L (the benchmark value of Chl-a for lakes in the central-eastern lake area of China) owing to the influence of these areas were all less than 10%. Thus, the risk of planktonic algal proliferation at the MRSNWDPC intake point is low. This study developed an integrated framework to investigate spatiotemporal changes in algal proliferation and their driving factors in reservoirs, which can be used to support water quality management in mega hydro projects.

Indexed as

Chlorophyll AEutrophicationPlanktonBiomassChinaChlorophyllEnvironmental MonitoringWater QualityChlorophyllChlorophyll AAlgal proliferationMultivariate statistical analysisReservoirStructural equation modelingWater quality

Identifiers

PMID39294208
PMCPMC11411132

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