Current status and prospects of algal bloom early warning technologies: A Review

Journal of Environmental Management, Год журнала: 2023, Номер 349, С. 119510 - 119510

Опубликована: Ноя. 9, 2023

Язык: Английский

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

Journal of Contaminant Hydrology, Год журнала: 2023, Номер 254, С. 104141 - 104141

Опубликована: Янв. 18, 2023

Язык: Английский

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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

The Science of The Total Environment, Год журнала: 2023, Номер 875, С. 162543 - 162543

Опубликована: Март 5, 2023

Язык: Английский

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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

Ecological Informatics, Год журнала: 2024, Номер 80, С. 102549 - 102549

Опубликована: Фев. 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.

Язык: Английский

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Cycles of solar ultraviolet radiation favor periodic expansions of cyanobacterial blooms in global lakes

Water Research, Год журнала: 2024, Номер 255, С. 121471 - 121471

Опубликована: Март 13, 2024

Язык: Английский

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Enhancing short-term algal bloom forecasting through an anti-mimicking hybrid deep learning method

Journal of Environmental Management, Год журнала: 2025, Номер 379, С. 124832 - 124832

Опубликована: Март 10, 2025

Язык: Английский

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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

The Science of The Total Environment, Год журнала: 2022, Номер 820, С. 153309 - 153309

Опубликована: Янв. 19, 2022

Язык: Английский

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Thirty-Four-Year Record (1987–2021) of the Spatiotemporal Dynamics of Algal Blooms in Lake Dianchi from Multi-Source Remote Sensing Insights

Remote Sensing, Год журнала: 2022, Номер 14(16), С. 4000 - 4000

Опубликована: Авг. 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.

Язык: Английский

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Short-term rainfall limits cyanobacterial bloom formation in a shallow eutrophic subtropical urban reservoir in warm season

The Science of The Total Environment, Год журнала: 2022, Номер 827, С. 154172 - 154172

Опубликована: Фев. 26, 2022

Язык: Английский

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Warming surface and Lake heatwaves as key drivers to harmful algal Blooms: A case study of Lake Dianchi, China

Journal of Hydrology, Год журнала: 2024, Номер 632, С. 130971 - 130971

Опубликована: Фев. 24, 2024

Язык: Английский

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