Impacts of environmental factors on Chlorophyll-a in lakes in cold and arid regions: A 10-year study of Wuliangsuhai Lake, China

Shi, Xiaohong; Yu, Haifeng; Zhao, Shengnan; Sun, Biao; Liu, Yu; Huo, Jingbo; Wang, Shihuan; Wang, Jialin; Wu, Yue; Wang, Yi; Zhang, Qiying

doi:10.1016/j.ecolind.2023.110133

Cited by 10 publications

(2 citation statements)

References 44 publications

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“…The data were collected at 19 sampling locations in Wuliangsu Lake. Wuliangsu Lake enters the freezing period from the end of October to the first half of November every year, and thaws in March of the next year; the freezing period lasts five months [21,22]. Therefore, the sampling time is concentrated in the period from June to September, and the sampling time is fixed at the middle and the end of every month.…”

Section: Measured Chl-a Concentration Datamentioning

confidence: 99%

Inversion of Chlorophyll-a Concentration in Wuliangsu Lake Based on OGolden-DBO-XGBoost

Zhou,

Fu,

2024

Applied Sciences

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Chlorophyll-a (Chl-a) concentration is one of the important indicators in water bodies for assessing the ecological health of water quality. In this paper, an OGolden-DBO-XGBoost Chl-a concentration inversion model is proposed using Wuliangsu Lake as the study area, and by combining the Sentinel-2 remote-sensing satellite images and measured Chl-a concentration data in Wuliangsu Lake, the XGBoost model is optimized using the hybrid-strategy-improved dung beetle optimization algorithm (OGolden-DBO), and an OGolden-DBO-XGBoost Chl-a concentration inversion model. The OGolden-DBO-XGBoost model’s coefficients of determination (R2s) were 0.8936 and 0.8850 on the training set and test set, according to the results. The root mean squared errors (RMSEs) were 3.1353 and 2.9659 μg/L, and the mean absolute errors (MAEs) were 1.8918 and 2.4282 μg/L. The model performed well and provided a strong support for the detection of Chl-a concentration in Wuliangsu Lake.

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Section: Measured Chl-a Concentration Datamentioning

confidence: 99%

Inversion of Chlorophyll-a Concentration in Wuliangsu Lake Based on OGolden-DBO-XGBoost

Zhou,

Fu,

2024

Applied Sciences

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“…Currently, research on ice-free lakes has explored bacterial structure and metabolism in high-altitude arid regions and most studies on ice-covered lakes have primarily examined bacterial diversity and function in subglacial water bodies and sediments. Studies on the ice-sealing period of Wuliangsuhai Lake have concentrated on the heat flux at the ice-water interface [9,10], primary productivity [11,12], and comprehensive pollution indices [13]. There have been a few reports on planktonic community composition and its response to environmental factors, with even fewer studies on microbial co-occurrence networks in diverse habitats during the ice period.…”

Section: Introductionmentioning

confidence: 99%

Changes in Freeze-Thaw Environments in a Cold Lake: Eliciting New Insights into the Activity and Composition of Bacterial Communities

Feng,

Lu,

Jia

et al. 2024

Diversity

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This study explored the dynamics of bacterial community composition, response to environmental factors, and co-occurrence network models across different habitats of Wuliangsuhai Lake during the glacial period. Water quality analysis and high-throughput sequencing were performed at 14 monitoring sites within the lake. Additionally, a co-occurrence network between the two bacterial operational taxonomic unit (OTU)-OTUs was established. The results indicated significant differences in water quality indices, namely total nitrogen (TN), chemical oxygen demand (COD), total dissolved solids (TDS), salinity (SAL), chlorophyll-a (Chl.a), and electrical conductivity (EC), between the ice bodies of Wuliangsuhai Lake and subglacial water. Although there were no significant differences in α diversity across various media, substantial differences were observed in β diversity. The VIF and RDA analyses revealed that lake water quality factors significantly affected the microbial community structure and COD and TDS had the highest explanation for the community composition change. Network analysis demonstrated that competition dominated the bacterial community in water bodies with higher complexity and stability and ice body bacteria exhibited more reciprocal relationships and weaker resistance to external environmental disturbances. The co-occurrence network demonstrated a modular structure in the external environment, with g_Flavobacterium, f_Arcobacteraceae, and g_Sphingobacteriaceae being the main keystone species. Investigating the habitat heterogeneity of lake bacterial communities and identifying major groups and key species using molecular ecological network models and their topological effects can provide a theoretical foundation for monitoring and assessing the structural stability of lake ecosystems in cold regions.

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A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs

Yu,

Wang,

Jiang

et al. 2023

Environ Sci Pollut Res

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Impacts of environmental factors on Chlorophyll-a in lakes in cold and arid regions: A 10-year study of Wuliangsuhai Lake, China

Cited by 10 publications

References 44 publications

Inversion of Chlorophyll-a Concentration in Wuliangsu Lake Based on OGolden-DBO-XGBoost

Inversion of Chlorophyll-a Concentration in Wuliangsu Lake Based on OGolden-DBO-XGBoost

Changes in Freeze-Thaw Environments in a Cold Lake: Eliciting New Insights into the Activity and Composition of Bacterial Communities

A novel hybrid model based on two-stage data processing and machine learning for forecasting chlorophyll-a concentration in reservoirs

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