Smart Monitoring Method for Land-Based Sources of Marine Outfalls Based on an Improved YOLOv8 Model DOI Open Access

Shiyu Zhao,

Haolan Zhou,

Haiyan Yang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(22), P. 3285 - 3285

Published: Nov. 15, 2024

Land-based sources of marine outfalls are a major source pollution. The monitoring land-based is an important means for environmental protection and governance. Traditional on-site manual methods inefficient, expensive, constrained by geographic conditions. Satellite remote sensing spectral analysis can only identify pollutant plumes affected discharge timing cloud/fog interference. Therefore, we propose smart method based on improved YOLOv8 model, using unmanned aerial vehicles (UAVs). This accurately classify outfalls, offering high practical application value. Inspired the sparse sampling in compressed sensing, incorporated multi-scale dilated attention mechanism into model integrated dynamic snake convolutions C2f module. approach enhanced model’s detection capability occluded complex-feature targets while constraining increase computational load. Additionally, proposed new loss calculation combining Inner-IoU (Intersection over Union) MPDIoU (IoU with Minimum Points Distance), which further regression speed its ability to predict targets. final experimental results show that achieved mAP50 (mean Average Precision at 50) 87.0%, representing 3.4% from original effectively enabling outlets.

Language: Английский

Seasonal dynamics of dissolved organic matter in a small tropical estuary-coastal bay continuum: distribution, transformation, flux, and global perspectives DOI Creative Commons
Pengfei Liu, Kuan Jiang, Qi Tan

et al.

Frontiers in Marine Science, Journal Year: 2025, Volume and Issue: 11

Published: Jan. 21, 2025

The export and transformation of riverine dissolved organic matter (DOM) at the river-sea interface are critical to understanding carbon budgets in tropical regions, yet remain underexplored small watersheds. This study analyzed (DOC), chromophoric (CDOM), fluorescent DOM (FDOM) over five cruises from summer 2021 2022 Suixi Estuary-Zhanjiang Bay continuum, a eutrophic transition zone northwestern South China Sea. Seasonal variations were pronounced for continuum two endmembers. Freshwater DOM, dominated by terrestrial materials, was closely tied soil leaching erosion, correlating with precipitation patterns. Conversely, seawater enriched protein-like FDOM, varied West-Guangdong Coastal Current its associated primary production. Linear decreases increasing salinity indicate that conservative mixing largely shapes distributions especially humic-like FDOM. Non-conservative processes, including flocculation, phytoplankton production, microbial transformation, variably alter components across seasons. River contributed considerably but disproportionately annual flux (47-59%), due intense processes mobilize refractory terrigenous DOM. deviation observed River’s DOC-CDOM relationship global rivers, coupled distinctive single-peak pattern between carbon-specific absorption coefficient water yield highlights role watershed nature influencing river-exported composition. notably high DOC CDOM yields further emphasize importance small, rivers shaping estuarine coastal budget.

Language: Английский

Citations

0
Long-term trends in eutrophication in the inner part of Tokyo Bay, Japan, from 1998 to 2023 DOI Creative Commons
Shinji Hashimoto,

K Mizuno

Regional Studies in Marine Science, Journal Year: 2025, Volume and Issue: unknown, P. 104153 - 104153

Published: March 1, 2025

Language: Английский

Citations

0
Spatial and Seasonal Variations in Iron and the Response of Chlorophyll-a in Zhanjiang Bay, China DOI Open Access

Zi-Liang Chen,

Li-Lan Shi,

Demeng Peng

et al.

Water, Journal Year: 2024, Volume and Issue: 16(16), P. 2338 - 2338

Published: Aug. 20, 2024

Iron (Fe) is a crucial trace element in marine ecosystems, playing vital role regulating primary productivity and driving biogeochemical cycling processes. However, understanding seasonal iron variations the response of chlorophyll-a (Chl-a) to coastal waters remains limited. The aim this study was find out about spatial concentrations their impact on levels Zhanjiang Bay. We conducted monitoring surface seawater for 2019, alongside assessments terrestrial inputs during three precipitation seasons. results showed that content Bay ranged from 0.83 339.2 μg·L−1 with an average 54.34 ± 75.91 μg·L−1. annual central bay higher than mouth inner bay. autumn much other seasons, which may be due influence river dredging. Correlation analysis revealed temperature pH are main factors affecting distribution influenced by rainfall, inputs, human activities, particularly channel were negatively correlated between different more significant increase content. This mean concentration inhibit synthesis chlorophyll-a, thus productivity. need carry research experiments verify hypothesis. reveals temporal changes urban its relationship environmental factors, great significance cycle eutrophic specifying effective management strategies.

Language: Английский

Citations

3
Life cycle assessment of hydrothermal carbonization of municipal solid waste for waste-to-energy generation DOI

Kaniz Fatema Rahman,

Mahir Abrar,

Sanjida Safa Tithi

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122850 - 122850

Published: Oct. 15, 2024

Language: Английский

Citations

2
Dissolved oxygen depletion in Chinese coastal waters DOI
Wenxia Zhang,

Pan Song,

Liuqian Yu

et al.

Water Research, Journal Year: 2024, Volume and Issue: 272, P. 123004 - 123004

Published: Dec. 18, 2024

Language: Английский

Citations

1
Smart Monitoring Method for Land-Based Sources of Marine Outfalls Based on an Improved YOLOv8 Model DOI Open Access

Shiyu Zhao,

Haolan Zhou,

Haiyan Yang

et al.

Water, Journal Year: 2024, Volume and Issue: 16(22), P. 3285 - 3285

Published: Nov. 15, 2024

Land-based sources of marine outfalls are a major source pollution. The monitoring land-based is an important means for environmental protection and governance. Traditional on-site manual methods inefficient, expensive, constrained by geographic conditions. Satellite remote sensing spectral analysis can only identify pollutant plumes affected discharge timing cloud/fog interference. Therefore, we propose smart method based on improved YOLOv8 model, using unmanned aerial vehicles (UAVs). This accurately classify outfalls, offering high practical application value. Inspired the sparse sampling in compressed sensing, incorporated multi-scale dilated attention mechanism into model integrated dynamic snake convolutions C2f module. approach enhanced model’s detection capability occluded complex-feature targets while constraining increase computational load. Additionally, proposed new loss calculation combining Inner-IoU (Intersection over Union) MPDIoU (IoU with Minimum Points Distance), which further regression speed its ability to predict targets. final experimental results show that achieved mAP50 (mean Average Precision at 50) 87.0%, representing 3.4% from original effectively enabling outlets.

Language: Английский

Citations

0