Design of a Fractional-Order Environmental Toxin-Plankton System in Aquatic Ecosystems: A Novel Machine Predictive Expedition with Nonlinear Autoregressive Neuroarchitectures

Water Research, Journal Year: 2025, Volume and Issue: unknown, P. 123640 - 123640

Published: April 1, 2025

Language: Английский

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Graph-based deep learning for predictions on changes in microbiomes and biogas production in anaerobic digestion systems

Water Research, Journal Year: 2025, Volume and Issue: 274, P. 123144 - 123144

Published: Jan. 14, 2025

Language: Английский

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An improved graph neural network integrating indicator attention and spatio-temporal correlation for dissolved oxygen prediction

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103126 - 103126

Published: April 1, 2025

Language: Английский

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Prediction of outpatient visits for allergic rhinitis using an artificial intelligence LSTM model - a study in Eastern China

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: April 9, 2025

Allergic rhinitis is a common disease that can affect the health of patients and bring huge social economic burdens. In this study, we developed model to predict incidence rate allergic so as provide accurate information for treatment, prevention, control rhinitis. We Long Short-Term Memory effectively predicting daily outpatient visits based on air pollution meteorological data. collected data from departments otolaryngology, emergency medicine, pediatrics, respiratory medicine at Affiliated Hospital Hangzhou Normal University, January 2022 August 2024. The were stratified by gender age separately input into evaluation. A total 25,425 samples assessed in study. Based obtained males (n = 13,943), females 11,482), adults 17,473), minors 7,952), normalized mean squared errors 0.4674976, 0.3812502, 0.418301, 0.4322124, respectively. By comparing NMSE prediction results ARIMA LSTM models dataset, was found outperform terms stability accuracy. presented here could data, thereby offering valuable data-driven support hospital management potentially improving societal prevention

Language: Английский

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Probabilistic machine learning-based phytoplankton abundance using hyperspectral remote sensing

GIScience & Remote Sensing, Journal Year: 2025, Volume and Issue: 62(1)

Published: April 11, 2025

Language: Английский

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Novel deep learning models for accurate time series prediction of phycocyanin concentration in water management

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 74, P. 107783 - 107783

Published: May 1, 2025

Language: Английский

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The Long-Term Variations of Phytoplankton Biomass in the Lower Nakdong River: 2000~2021

Journal of Korean Society of Environmental Engineers, Journal Year: 2024, Volume and Issue: 46(11), P. 687 - 694

Published: Nov. 22, 2024

Objectives : Globally, the mass proliferation of phytoplankton driven by climate change has emerged as a significant societal issue. This study analyzes over two decades long-term hydraulic, hydrological, and water quality data collected from lower Nakdong River, along with changes in community biomass. The aim is to evaluate trends ecological occurring this region.Methods monitoring site River Mulgeum, where samples were weekly January 2000 December 2021 for analysis physicochemical characteristics, well abundance species composition. hydrological status was assessed using flow rate Jin-dong (Haman) station rainfall Korea Meteorological Administration eight regions influencing River.Results Discussion Analysis annual average concentration parameters at Mulgeum intake found that generally improved since construction period (2009-2012) weir. improvement attributed strengthening T-P standards sewage treatment plant discharges 2012, which resulted enhanced phosphorus wastewater facilities river's middle upper regions. Consequently, reductions observed concentrations BOD, NO₃-N, T-N, T-P. Evaluating rainfall, it both decreased after weir installed, particularly May September when temperatures rise. Rainfall approximately 8% 38%, while 46% 62%. Long-term temperature indicated summer increased 0.9^oC 1.4^oC, winter rose 1.6^oC 2.0^oC, resulting an overall increase about 1.3^oC. An biomass composition revealed 3,639 cells/mL before installed 4,034 afterward, representing 11%. In winter, dominance diatoms decreased, summer, cyanobacteria increased. Notably, August, 7.5 times, rising 2,009 dam 15,059 afterward. identified key factor rise following weir's installation.Conclusion Recent impacts, such shifting patterns, have become increasingly evident South Korea. utilizes 20 years demonstrate that, there been gradual decline rates, accompanied temperatures. decreased. contrast, cyanobacteria, thrive warmer conditions, experienced extended into early spring late autumn result temperatures, leading cyanobacterial

Language: Английский

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Impact of discharge regulation on zooplankton communities regarding indicator species and their thresholds in the cascade weirs of the Yeongsan River

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102911 - 102911

Published: Nov. 1, 2024

Language: Английский

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Applicability of Plant–Clay Mineral Composite for Rapid Algae Removal from Eutrophic Freshwaters at the Laboratory and Field Scales1

Environmental Research, Journal Year: 2024, Volume and Issue: 266, P. 120468 - 120468

Published: Nov. 28, 2024

Language: Английский

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