
Harmful Algae, Journal Year: 2021, Volume and Issue: 110, P. 102127 - 102127
Published: Nov. 11, 2021
Language: Английский
Harmful Algae, Journal Year: 2021, Volume and Issue: 110, P. 102127 - 102127
Published: Nov. 11, 2021
Language: Английский
Environmental Science & Technology, Journal Year: 2020, Volume and Issue: 54(6), P. 3191 - 3198
Published: Feb. 19, 2020
Eutrophication mitigation is an ongoing priority for aquatic ecosystems. However, the current eutrophication control strategies (phosphorus (P) and/or nitrogen (N)) are guided mainly by nutrient addition experiments in small waters without encompassing all in-lake biogeochemical processes that associated largely with lake morphological characteristics. Here, we use a global data set (573 lakes) to show relative roles of N vs P affecting underpinned water depth. Mean depth and maximum mixing were used distinguish shallow (mixing > depth), deep < mean transitional (mean ≤ depth) lakes this study. TN/TP ratio (by mass) was as indicator potential limitation, i.e., only limitation if N/P 9, + colimitation 9 22.6, ≥ 22.6. The results favored lakes, frequently (66.2%) while predominated (94.4%) most but especially ones. importance increases decreases trophic status occurs primarily (59.4%) eutrophic lakes. These demonstrate phosphorus reduction can mitigate large dual may be needed ones (or bays). Our analysis helps clarify long debate over whether N, P, or both primary production. While these imply more resources invested management, given high costs pollution reduction, comprehensive from carefully designed at different scales further verify modification existing paradigm.
Language: Английский
Citations
368Proceedings of the National Academy of Sciences, Journal Year: 2020, Volume and Issue: 117(21), P. 11566 - 11572
Published: May 8, 2020
Significance Due to different rates of change in total nitrogen (TN) and phosphorus (TP) concentrations lakes, increases TN/TP mass ratios were observed many China’s freshwater lakes during 2008 2017. This growing imbalance has important implications for aquatic ecology that remain poorly considered understood. Here, we show changes municipal wastewater treatment are a major driver lake ratios, as is more effectively removed than from wastewater. Our findings highlight the need efficient reduction addition reduce risk phytoplankton blooms toxin production maintain ecosystem biodiversity downstream waterbodies.
Language: Английский
Citations
196Water Research, Journal Year: 2020, Volume and Issue: 181, P. 115902 - 115902
Published: May 14, 2020
Language: Английский
Citations
188Science, Journal Year: 2022, Volume and Issue: 376(6596), P. 1001 - 1005
Published: May 26, 2022
Harmful cyanobacteria are a global environmental problem, yet we lack actionable understanding of toxigenic versus nontoxigenic strain ecology and toxin production. We performed large-scale meta-analysis including 103 papers used it to develop mechanistic, agent-based model Microcystis growth microcystin Simulations for Lake Erie suggest that the observed toxigenic-to-nontoxigenic succession during 2014 Toledo drinking water crisis was controlled by different cellular oxidative stress mitigation strategies (protection degradation enzymes) susceptibility those mechanisms nitrogen limitation. This model, as well simpler empirical one, predicts planned phosphorus load reduction will lower biomass but make light more available, which increase production, favor cells, concentrations.
Language: Английский
Citations
107Environmental Research Letters, Journal Year: 2023, Volume and Issue: 18(6), P. 063004 - 063004
Published: April 26, 2023
Abstract Eutrophication is a major global concern in lakes, caused by excessive nutrient loadings (nitrogen and phosphorus) from human activities likely exacerbated climate change. Present use of indicators to monitor assess lake eutrophication restricted water quality constituents (e.g. total phosphorus, nitrogen) does not necessarily represent environmental changes the anthropogenic influences within lake’s drainage basin. Nutrients interact multiple ways with climate, basin conditions socio-economic development, point-source, diffuse source pollutants), systems. It therefore essential account for complex feedback mechanisms non-linear interactions that exist between nutrients ecosystems assessments. However, lack set holistic understanding challenges such assessments, addition limited monitoring data available. In this review, we synthesize main freshwater basins only include but also sources, biogeochemical pathways responses emissions. We develop new causal network (i.e. links indicators) using DPSIR (drivers-pressure-state-impact-response) framework highlights interrelationships among provides perspective dynamics basins. further review 30 key drivers pressures seven cross-cutting themes: (i) hydro-climatology, (ii) socio-economy, (iii) land use, (iv) characteristics, (v) crop farming livestock, (vi) hydrology management, (vii) fishing aquaculture. This study indicates need more comprehensive systems, guide expansion networks, support integrated assessments manage eutrophication. Finally, proposed can be used managers decision-makers realistic targets sustainable management achieve clean all, line Sustainable Development Goal 6.
Language: Английский
Citations
67Separation and Purification Technology, Journal Year: 2023, Volume and Issue: 318, P. 123970 - 123970
Published: May 3, 2023
Language: Английский
Citations
51Water Research, Journal Year: 2023, Volume and Issue: 232, P. 119710 - 119710
Published: Feb. 5, 2023
Language: Английский
Citations
44Water, Journal Year: 2025, Volume and Issue: 17(1), P. 89 - 89
Published: Jan. 1, 2025
Rivers play a crucial role in nutrient cycling, yet are increasingly affected by eutrophication due to anthropogenic activities. This study focuses on the Barato River Hokkaido, Japan, employing an integrated approach of field measurements and Sentinel-2 satellite remote sensing monitor as river experiencing huge sewage effluents. Key parameters such chlorophyll-a (Chla), dissolved inorganic nitrogen (DIN), phosphorus (DIP), Secchi Disk Depth (SDD) were analyzed. The developed empirical models showed strong predictive capability for water quality, particularly Chla (R2 = 0.87), DIP 0.61), SDD 0.82). Seasonal analysis indicated peak concentrations October, reaching up 92.4 μg/L, alongside significant decreases DIN DIP, suggesting high phytoplankton activity. Advanced machine learning models, specifically back propagation neural networks, improved prediction accuracy with R2 values 0.90 0.83 DIN. Temporal analyses from 2018 2022 consistently revealed River’s eutrophic state, severe occurring 33% year moderate over 50%, emphasizing ongoing imbalance. correlation between highlights main driver eutrophication. These findings demonstrate efficacy integrating dynamic monitoring eutrophication, providing critical insights management quality improvement.
Language: Английский
Citations
2Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132789 - 132789
Published: Feb. 1, 2025
Language: Английский
Citations
2Harmful Algae, Journal Year: 2020, Volume and Issue: 96, P. 101845 - 101845
Published: June 1, 2020
Language: Английский
Citations
128