Identification of key water environmental factor contributions and spatiotemporal differential characteristics for eutrophication in Dianchi Lake DOI
Chao Gao, Zhijie Liang, P Xin

et al.

Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(12)

Published: Nov. 19, 2024

Language: Английский

Current status and prospects of algal bloom early warning technologies: A Review DOI
X.L. Xiao, Yazhou Peng, Wei Zhang

et al.

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 349, P. 119510 - 119510

Published: Nov. 9, 2023

Language: Английский

Citations

30

Spatiotemporal variation and driving factors of water quality in Yunnan-Guizhou plateau lakes, China DOI

Jiao Ran,

Rong Xiang,

Jia He

et al.

Journal of Contaminant Hydrology, Journal Year: 2023, Volume and Issue: 254, P. 104141 - 104141

Published: Jan. 18, 2023

Language: Английский

Citations

24

Output characteristics and driving factors of non-point source nitrogen (N) and phosphorus (P) in the Three Gorges reservoir area (TGRA) based on migration process: 1995–2020 DOI

Shaojun Tan,

Deti Xie, Jiupai Ni

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 875, P. 162543 - 162543

Published: March 5, 2023

Language: Английский

Citations

23

Classification of inland lake water quality levels based on Sentinel-2 images using convolutional neural networks and spatiotemporal variation and driving factors of algal bloom DOI Creative Commons

Haobin Meng,

Jing Zhang, Zheng Zhen

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: 80, P. 102549 - 102549

Published: Feb. 29, 2024

Water quality monitoring in inland lakes is crucial to ensuring the health and stability of aquatic ecosystems. For regional water environment agencies researchers, remote sensing offers a cost-effective alternative traditional in-situ sampling methods. In this study, we designed convolutional neural network (CNN) based on AlexNet represent relationship between Sentinel-2 images situ levels Lake Dianchi from November 2020 April 2023. The model incorporated an algal bloom extraction algorithm utilized correlation analysis, redundancy analysis (RDA), random forest (RF) method establish connections two environmental factors: meteorology, area (AAB). findings revealed improvement Dianchi's quality, with Levels A (good quality) B (mildly polluted averaging 1.24% 84.28%, respectively. Starting October 2022, stabilized at Level B, 98.17%. Seasonal variations demonstrated best spring worst summer (Level C, severely accounting for 5.19% 21.68%, respectively). Algal presence was minimally observed, average AAB value 1.75%, peaking autumn (4.05%) hitting low winter (0.38%). significant identified AAB, notable spatial trend decreasing C north south, featuring lower Southern Waihai compared Central Waihai. Statistical pinpointed total phosphorus (TP) as dominant factor influencing while meteorological factors such wind speed (WS), relative humidity (RH), precipitation (PP) playing secondary roles. Despite fluctuations TP concentration, recent stabilization 0.05 mg/L suggests positive trajectory future management Dianchi.

Language: Английский

Citations

10

Cycles of solar ultraviolet radiation favor periodic expansions of cyanobacterial blooms in global lakes DOI
Mengmeng Wang,

Wanchao Bian,

Ximeng Qi

et al.

Water Research, Journal Year: 2024, Volume and Issue: 255, P. 121471 - 121471

Published: March 13, 2024

Language: Английский

Citations

9

Enhancing short-term algal bloom forecasting through an anti-mimicking hybrid deep learning method DOI
Ya-Qin Zhang,

Yichong Wang,

Huihuang Chen

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 379, P. 124832 - 124832

Published: March 10, 2025

Language: Английский

Citations

1

Regional collaboration to simultaneously mitigate PM2.5 and O3 pollution in Beijing-Tianjin-Hebei and the surrounding area: Multi-model synthesis from multiple data sources DOI

Wenjiao Duan,

Xiaoqi Wang,

Shuiyuan Cheng

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 820, P. 153309 - 153309

Published: Jan. 19, 2022

Language: Английский

Citations

29

Thirty-Four-Year Record (1987–2021) of the Spatiotemporal Dynamics of Algal Blooms in Lake Dianchi from Multi-Source Remote Sensing Insights DOI Creative Commons
Jinge Ma, Feng He, Tianci Qi

et al.

Remote Sensing, Journal Year: 2022, Volume and Issue: 14(16), P. 4000 - 4000

Published: Aug. 17, 2022

Lake Dianchi is one of the most eutrophic lakes in China. The decline water quality and occurrence massive algal blooms pose a significant threat to health environmental safety ecosystem, making key concern for bloom management Obtaining spatiotemporal dynamics longest time possible crucial future prediction. However, it difficult acquire long-term record from single sensor order cover more extended period eutrophication lake due limitation spatial temporal resolution sensors. In this study, Landsat Moderate-Resolution Imaging Spectroradiometer (MODIS) images were combined with Floating Algae Index (FAI) reconstruct unified series areas analyze recent decades. Regarding interannual variation, area showed an increasing trend 1987 2021, larger 1991–1992, 2000–2003, 2012–2013, 2020–2021. terms seasonal characteristics, was significantly prominent rainy season compared dry during year. distribution frequency pattern higher frequencies north lower south. From 2000 initial duration delaying then advancing decreasing increasing, respectively. We analyzed importance records found that percentage essential factor reconstructing based on different addition, relationship between factors analyzed. results show wind speed air temperature main meteorological controlling variation Dianchi. Water such as nutrients have less influence because growth demand has been met. Environmental measures taken by local governments led improvements lake’s trophic state, continued strengthening pollution control expected curb This study provides Dianchi, which reference information comprehensive understanding development process its sustainable development.

Language: Английский

Citations

27

Short-term rainfall limits cyanobacterial bloom formation in a shallow eutrophic subtropical urban reservoir in warm season DOI
Anqi Luo, Huihuang Chen, Xiaofei Gao

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 827, P. 154172 - 154172

Published: Feb. 26, 2022

Language: Английский

Citations

23

Influence of climate extremes on long-term changes in cyanobacterial blooms in a eutrophic and shallow lake DOI

Yuan Jun,

Zhigang Cao, Jinge Ma

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 939, P. 173601 - 173601

Published: May 27, 2024

Language: Английский

Citations

5