AIMC Topic: Phosphorus
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Influence of sample size and machine learning algorithms on digital soil nutrient mapping accuracy.
Environmental monitoring and assessment
Aug 8, 2025
The objective of this study is to evaluate and compare the performance of different machine learning (ML) algorithms, viz., multi-layer perceptron (MLP), random forest (RF), extra trees regressor (ETR), CatBoost, and gradient boost (GB), considering ...
AI-driven wastewater management through comparative analysis of feature selection techniques and predictive models.
Scientific reports
Jul 14, 2025
The integration of artificial intelligence (AI) in wastewater treatment management offers a promising approach to optimizing effluent quality predictions and enhancing operational efficiency. This study evaluates the performance of machine learning m...
Modeling water quality in the brazilian semiarid region using remote sensing: support for water management.
Environmental monitoring and assessment
Jul 10, 2025
Water management in semi-arid regions faces challenges due to water scarcity and the need for continuous quality monitoring. This study evaluates the use of remote sensing to analyze a reservoir's water quality status in Brazil's semi-arid region to ...
LucaPCycle: Illuminating microbial phosphorus cycling in deep-sea cold seep sediments using protein language models.
Nature communications
May 26, 2025
Phosphorus is essential for life and critically influences marine productivity. Despite geochemical evidence of active phosphorus cycling in deep-sea cold seeps, the microbial processes involved remain poorly understood. Traditional sequence-based se...
Synergistic effects of environmental factors on benthic diversity: Machine learning analysis.
Water research
May 6, 2025
This study examines the water environmental factors of the Cangshan stream and benthic animal communities by using random forest, gradient boosting decision tree, and support vector machine models to analyze the complex response mechanisms of benthic...
Optimizing Watershed Land Use to Achieve the Benefits of Lake Carbon Sinks while Maintaining Water Quality.
Environmental science & technology
May 6, 2025
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...
Keystone microbial taxa identified by deep learning reveal mechanisms of phosphorus stoichiometric homeostasis in submerged macrophytes under different hydrodynamic states.
Water research
Apr 25, 2025
Phosphorus (P) pollution in aquatic ecosystems triggers eutrophication, disrupting ecological processes. Although phytoremediation using submerged macrophytes is promising, its efficacy depends on plant-microbe interactions and stoichiometric homeost...
Exploring the nexus between coastal tourism growth and eutrophication: Challenges for environmental management.
Marine pollution bulletin
Apr 16, 2025
Coastal tourism has witnessed rapid growth over the past two decades, often accompanied by increasing environmental concerns, particularly eutrophication in sensitive marine zones. This study explores the relationship between coastal tourism expansio...
Water quality parameters retrieval and nutrient status evaluation based on machine learning methods and Sentinel- 2 imagery: a case study of the Hongjiannao Lake.
Environmental monitoring and assessment
Apr 15, 2025
A timely and accurate understanding of lake water quality is significant for maintaining ecological balance, ensuring water resource security, and promoting regional sustainable development. However, due to the varying numerical ranges and characteri...
Feasibility study of real-time virtual sensing for water quality parameters in river systems using synthetic data and deep learning models.
Journal of environmental management
Apr 2, 2025
With water quality management crucial for environmental sustainability, multiple techniques for real-time monitoring and estimation of water quality parameters have been developed. However, certain data types, such as airborne images, are only access...
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