AIMC Topic: Eutrophication

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Study on the source tracing method of organic pollutants in large shallow eutrophic lakes based on 3D-EEM and Transformer models: A case study of Changdang Lake in China.

Environmental monitoring and assessment
Organic pollution in the lake water bodies poses a serious threat to the stability of aquatic ecosystems and human health. Dissolved organic matter (DOM) is a key component of organic pollution. The analysis of its sources is crucial for pollution co...

Human alterations to global riverine phosphorus fluxes to the ocean.

Science advances
Rivers regulate land-ocean total phosphorus (TP) fluxes critical to ecosystem health and food security, yet global dynamics remain poorly understood due to limited observations. Here, we develop a machine learning framework integrating multimodal dat...

From passive prevention to proactive intervention: An AI-assisted integrated governance system for algal bloom monitoring and control.

Environmental research
Algal blooms, characterized by the excessive proliferation of microalgae in a freshwater or marine ecosystem, have evolved into a global ecological, health and economic crisis, which is often accompanied by the release of toxins and the damage of the...

An Integrated Machine Learning and Remote Sensing Method for Predicting Cyanobacterial Blooms: A Case Study in China's lakes along a large-scale water diversion project.

Environmental management
Cyanobacterial blooms in lakes are a complex and challenging environmental issue worldwide. However, many existing studies on cyanobacterial bloom prediction were constrained by limited data availability, which poses significant challenges to the dev...

Four decades of satellite observations reveal climate-driven shifts and spatial heterogeneity in shallow lake Chlorophyll-a dynamics.

Water research
Shallow lakes worldwide face escalating pressures from eutrophication and climate change, yet comprehensive monitoring of Chlorophyll-a (Chl-a) spatiotemporal dynamics remains challenging due to the high costs and logistical constraints of traditiona...

Declining ocean greenness and phytoplankton blooms in low to mid-latitudes under a warming climate.

Science advances
Marine phytoplankton are crucial to oceanic ecosystems, yet trends in their activity, monitored through chlorophyll a, remain uncertain due to observational limitations. We generated an ocean chlorophyll a dataset (2001 to 2023) across low to mid-lat...

Coupled acidification-nitrification dynamics in eutrophic estuarine waters.

Water research
The interplay between acidification and nitrification in estuarine systems could have profound effects on coastal biogeochemistry and ecosystem health. However, the lack of integrated field research risks oversimplifying their relationships in comple...

Identifying Key Taxa for Algal Blooms in a Large Aquatic Ecosystem through Machine Learning.

Environmental science & technology
Identifying key species responsible for excessive growth of algae communities, as reflected by the floating algae index (FAI), is crucial for developing targeted management strategies to control algal blooms (ABs). However, current approaches for alg...

Climate change influences on algal bloom intensity in lakes in the Yangtze River Basin, China from 1985 to 2022.

Journal of hazardous materials
This study investigates the long-term influence of climate change on the spatiotemporal dynamics of harmful algal blooms in lakes larger than 10 km² across the Yangtze River Basin from 1985 to 2022. Using Landsat satellite imagery, we quantified bloo...

Optimizing Watershed Land Use to Achieve the Benefits of Lake Carbon Sinks while Maintaining Water Quality.

Environmental science & technology
Greenhouse gas emissions and water quality decline are two major issues currently affecting lakes worldwide. Determining how to control both greenhouse gas emissions and water quality decline is a long-term challenge. We compiled data on the annual a...