Journal of Environmental Management, Journal Year: 2020, Volume and Issue: 272, P. 111077 - 111077
Published: July 25, 2020
Language: Английский
Journal of Environmental Management, Journal Year: 2020, Volume and Issue: 272, P. 111077 - 111077
Published: July 25, 2020
Language: Английский
Harmful Algae, Journal Year: 2022, Volume and Issue: 118, P. 102297 - 102297
Published: Aug. 10, 2022
Language: Английский
Citations
43Marine Environmental Research, Journal Year: 2023, Volume and Issue: 184, P. 105877 - 105877
Published: Jan. 10, 2023
Language: Английский
Citations
40The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 872, P. 162268 - 162268
Published: Feb. 16, 2023
Language: Английский
Citations
36Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 470, P. 134198 - 134198
Published: April 4, 2024
Language: Английский
Citations
14Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 466, P. 133448 - 133448
Published: Jan. 6, 2024
Language: Английский
Citations
11The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 924, P. 171553 - 171553
Published: March 7, 2024
Language: Английский
Citations
9Journal of Cleaner Production, Journal Year: 2020, Volume and Issue: 289, P. 125755 - 125755
Published: Dec. 31, 2020
Language: Английский
Citations
61Earth s Future, Journal Year: 2020, Volume and Issue: 8(10)
Published: Aug. 27, 2020
Abstract Symptoms of eutrophication (including biodiversity loss, harmful algal blooms, and hypoxia) are an increasing problem in Chinese seas. Nutrient enrichment is primarily caused by accelerated human activities that cause nutrient pollution the aquatic environment. In this study, Integrated Model to Assess Global Environment–Global (IMAGE‐GNM) was used estimate nitrogen inputs from river discharge, submarine fresh groundwater mariculture, TM5‐FAst Scenario Screening Tool (TM5‐FASST) for atmospheric deposition three Large Marine Ecosystems (LMEs, i.e., Yellow Sea/Bohai Sea, YS/BS; East China ECS; South SCS) bordered several other countries period 1970–2010. China's export largest source YS/BS ECS. SCS, however, contributed equally although decreasing, proportion natural sources remain considerable. The total (1.0 4.1 Tg year −1 ), ECS (1.3 5.5 SCS (2.1 5.8 ) increased rapidly during River dominated agriculture; mariculture have been recent years. Considering only coastal zone LMEs, our results show strongly concentrated spatially areas close mouths those confined regions with production. To sustain food production economic growth coming decades, may increase further, depending on future mitigation policies.
Language: Английский
Citations
51Environmental Science and Pollution Research, Journal Year: 2021, Volume and Issue: 28(40), P. 55846 - 55868
Published: Sept. 3, 2021
Language: Английский
Citations
44Environmental Science and Ecotechnology, Journal Year: 2022, Volume and Issue: 14, P. 100233 - 100233
Published: Dec. 29, 2022
The algal community structure is vital for aquatic management. However, the complicated environmental and biological processes make modeling challenging. To cope with this difficulty, we investigated using random forests (RF) to predict phytoplankton shifting based on multi-source factors (including physicochemical, hydrological, meteorological variables). RF models robustly predicted communities composed by 13 major classes (Bray-Curtis dissimilarity = 9.2 ± 7.0%, validation NRMSE mostly <10%), accurate simulations total biomass (validation R2 > 0.74) in Norway's largest lake, Lake Mjosa. importance analysis showed that hydro-meteorological variables (Standardized MSE Node Purity >0.5) were most influential regulating phytoplankton. Furthermore, an in-depth ecological interpretation uncovered interactive stress-response effect learned models. results disclosed drivers (i.e., temperature, lake inflow, nutrients) can jointly pose strong influence shifts. This study highlighted power of machine learning predicting complex structures provided insights into model interpretability.
Language: Английский
Citations
38