Global production patterns: Understanding the relationship between greenhouse gas emissions, agriculture greening and climate variability

Environmental Research, Journal Year: 2023, Volume and Issue: 245, P. 118049 - 118049

Published: Dec. 31, 2023

Language: Английский

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Soil microplastics: Impacts on greenhouse gasses emissions, carbon cycling, microbial diversity, and soil characteristics

Applied Soil Ecology, Journal Year: 2024, Volume and Issue: 197, P. 105343 - 105343

Published: Feb. 26, 2024

Language: Английский

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Circular economy strategies in supply chains, enhancing resource efficiency and sustainable development goals

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: 31(6), P. 8751 - 8767

Published: Jan. 5, 2024

Language: Английский

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Understanding the connections between climate change, air pollution, and human health in Africa: Insights from a literature review

Journal of Environmental Science and Health Part C, Journal Year: 2023, Volume and Issue: 41(3-4), P. 77 - 120

Published: Oct. 2, 2023

Climate change and air pollution are two interconnected global challenges that have profound impacts on human health. In Africa, a continent known for its rich biodiversity diverse ecosystems, the adverse effects of climate particularly concerning. This review study examines implications health well-being in Africa. It explores intersection these factors their impact various outcomes, including cardiovascular disease, respiratory disorders, mental health, vulnerable populations such as children elderly. The highlights disproportionate groups emphasizes need targeted interventions policies to protect Furthermore, it discusses role exacerbating potential long-term consequences public also addresses importance considering temperature precipitation changes modifiers pollution. By synthesizing existing research, this aims shed light complex relationships highlight key findings, knowledge gaps, solutions mitigating region. insights gained from can inform evidence-based mitigate promote sustainable development

Language: Английский

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Forecasting actual evapotranspiration without climate data based on stacked integration of DNN and meta-heuristic models across China from 1958 to 2021

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 345, P. 118697 - 118697

Published: Sept. 7, 2023

Language: Английский

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A physics-based PSO-BPNN model for civil aircraft noise assessment

Applied Acoustics, Journal Year: 2024, Volume and Issue: 221, P. 109992 - 109992

Published: April 9, 2024

Language: Английский

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The artificial intelligence-based agricultural field irrigation warning system using GA-BP neural network under smart agriculture

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(1), P. e0317277 - e0317277

Published: Jan. 17, 2025

This work explores an intelligent field irrigation warning system based on the Enhanced Genetic Algorithm—Backpropagation Neural Network (EGA-BPNN) model in context of smart agriculture. To achieve this, flow prediction agricultural fields is chosen as research topic. Firstly, BPNN principles are studied, revealing issues such sensitivity to initial values, susceptibility local optima, and sample dependency. address these problems, a genetic algorithm (GA) adopted for optimizing BPNN, EGA-BPNN used predict fields. Secondly, can overcome optimization overfitting problems traditional through global search ability GA. Moreover, it suitable task with complex environmental factors Finally, comparative experiments compare accuracy using single dual water level models respectively. The results reveal that number nodes hidden layer increases, model’s Mean Squared Error (MSE) Relative (RE) show decreasing trend, indicating improvement accuracy. When increases from 6 16, MSE decreases 4.53×10 −4 3.68×10 2.38×10 1.66×10 , Under standalone absolute relative error 1.09%. In contrast, achieves significantly lower mean 0.41% single-flow prediction, demonstrating superior performance. Furthermore, compared exhibits 2.11 reduction MSE, further emphasizing positive impact introducing GA outcomes contribute more accurate resource planning management, providing reliable basis decision-making.

Language: Английский

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Study of intelligent home environment system based on big data and improved k-means algorithm

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 17, 2025

The Embedded operating system based on STC12C5A MCU is designed to facilitate real-time monitoring and control of the home environment, in order solve some problems such as low acquisition frequency, poor performance, lack feedback adaptation. Kalman filter improved k-means algorithm are used analyze big data which processed by BP neural network, then most comfortable living environment parameters can be obtained. independent mechanism adjustment achieve efficient collaboration stable operation hardware software. test results show that has high accuracy, fast response speed, good reliability well adaptive capabilities.

Language: Английский

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From oil and mineral extraction to renewable energy: Analyzing the efficiency of green technology innovation in the transformation of the oil and gas sector in the extractive industry

Resources Policy, Journal Year: 2023, Volume and Issue: 86, P. 104080 - 104080

Published: Sept. 26, 2023

Language: Английский

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A comprehensive investigation of the causes of drying and increasing saline dust in the Urmia Lake, northwest Iran, via ground and satellite observations, synoptic analysis and machine learning models

Ecological Informatics, Journal Year: 2023, Volume and Issue: 78, P. 102355 - 102355

Published: Oct. 24, 2023

Language: Английский

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