DAD-YOLO as a novel computer vision tool to predict the environmental impact of harmful algae presence in contaminated river water employed for large-scale irrigation to agricultural field

Journal of Water Process Engineering, Journal Year: 2025, Volume and Issue: 71, P. 107439 - 107439

Published: March 1, 2025

Language: Английский

Toward a Brighter Future: Enhanced Sustainable Methods for Preventing Algal Blooms and Improving Water Quality

Hydrobiology, Journal Year: 2024, Volume and Issue: 3(2), P. 100 - 118

Published: May 29, 2024

This comprehensive review explores the escalating challenge of nutrient enrichment in aquatic ecosystems, spotlighting dire ecological threats posed by harmful algal blooms (HABs) and excessive particulate organic matter (POM). Investigating recent advancements water treatment technologies management strategies, study emphasizes critical need for a multifaceted approach that incorporates physical, chemical, biological methods to effectively address these issues. By conducting detailed comparative analyses across diverse environments, it highlights complexities mitigating HABs underscores importance environment-specific strategies. The paper advocates sustainable, innovative solutions international cooperation enhance global quality ecosystem health. It calls ongoing advancement, regular monitoring, research adapt emerging challenges, thus ensuring preservation biodiversity protection communities reliant on vital resources. necessity integrating technological innovation, understanding, safeguard ecosystems future generations is paramount.

Language: Английский

Investigating Algal Sensor Utilization Methods for Three-Dimensional Algal Control Technology Evaluation

Water, Journal Year: 2024, Volume and Issue: 16(12), P. 1679 - 1679

Published: June 12, 2024

There are physical, chemical, and biological methods to control algae, their efficiency requires evaluation. In the field, monitoring evaluating overall algal concentration is challenging due factors such as flow rate, inhomogeneous distribution of algae in water body, limitations number samples for microscopic analysis. this study, we analyzed total cyanobacterial chlorophyll a (Chl-a) using FluoroProbe sensor data collected from March November 2019. The Pearson correlation coefficient log(x + 1) values revealed significant positive between four harmful cyanobacteria Chl-a (r = 0.618, p < 0.01). Furthermore, explored potential sensors by acquiring three-dimensional, spatially continuous an fence, physical technology installed at Daecheong Dam 2021. results confirmed that can effectively evaluate technology. This study demonstrates effectiveness assess control.

Language: Английский