Seasonal Eutrophication in Lentic Small Waterbodies: Understanding Nutrients-Chlorophyll-a Relationships and Implications DOI Creative Commons
Pooja Singh, Basant Yadav

Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100563 - 100563

Published: Dec. 1, 2024

Language: Английский

Enhanced antibacterial and algae inhibition performance by coral sand-supported nano-Ag composites DOI
Sufeng Wang,

Fengjing Lv,

Wen Zhang

et al.

Environmental Science Nano, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Coral sand (CS) was utilized as a substrate to immobilize nano silver, resulting in the new composite material CS-Ag. CS-Ag could achieve continuous sterilization and algae inhibition.

Language: Английский

Citations

0

Quantification of chlorophyll-a in inland waters by remote sensing algorithm based on modified equivalent spectra of Sentinel-2 DOI Creative Commons
Wenbin Pan, Fei Yu, Jialin Li

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103061 - 103061

Published: Feb. 1, 2025

Language: Английский

Citations

0

Satellite Retrieval and Spatiotemporal Variability in Chlorophyll-a for Marine Ranching: An Example from Daya Bay, Guangdong Province, China DOI Open Access
Junying Yang, Ruru Deng,

Yi‐Wei Ma

et al.

Water, Journal Year: 2025, Volume and Issue: 17(6), P. 780 - 780

Published: March 7, 2025

With the planning and construction of marine ranching in China, water quality has become one critical limiting factors for development ranching. Due to geographical differences, ranches exhibit varying conditions under influence continental shelf. To best our knowledge, there is limited research on satellite-based monitoring spatiotemporal variations different locations. Chlorophyll-a (Chl-a) a key indicator ecological health disaster prevention capacity ranching, as it reflects eutrophication crucial high-quality, sustainable operation Using physically based model, this study focuses retrieval Chl-a concentration Daya Bay. The coefficient determination (R2) between model values situ data 0.69, with root mean square error (RMSE) 1.52 μg/L absolute percentage (MAPE) 44.25%. Seasonal are observed Bay higher spring–summer lower autumn–winter. In YangMeikeng waters, shows declining trend A comparison (nearshore) XiaoXingshan (offshore) suggests that offshore may be less impacted by terrestrial pollutants. primary sources input Dan’ao River aquaculture areas northeastern part bay. This can provide valuable information protection management

Language: Английский

Citations

0

Seasonal Eutrophication in Lentic Small Waterbodies: Understanding Nutrients-Chlorophyll-a Relationships and Implications DOI Creative Commons
Pooja Singh, Basant Yadav

Journal of Hazardous Materials Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100563 - 100563

Published: Dec. 1, 2024

Language: Английский

Citations

0