Water Air & Soil Pollution, Journal Year: 2023, Volume and Issue: 234(12)
Published: Dec. 1, 2023
Language: Английский
Environmental Chemistry Letters, Journal Year: 2023, Volume and Issue: 21(5), P. 2525 - 2557
Published: June 13, 2023
Abstract Climate change is a major threat already causing system damage to urban and natural systems, inducing global economic losses of over $500 billion. These issues may be partly solved by artificial intelligence because integrates internet resources make prompt suggestions based on accurate climate predictions. Here we review recent research applications in mitigating the adverse effects change, with focus energy efficiency, carbon sequestration storage, weather renewable forecasting, grid management, building design, transportation, precision agriculture, industrial processes, reducing deforestation, resilient cities. We found that enhancing efficiency can significantly contribute impact change. Smart manufacturing reduce consumption, waste, emissions 30–50% and, particular, consumption buildings 30–50%. About 70% gas industry utilizes technologies enhance accuracy reliability forecasts. Combining smart grids optimize power thereby electricity bills 10–20%. Intelligent transportation systems dioxide approximately 60%. Moreover, management design cities through application further promote sustainability.
Language: Английский
Citations
153
Arabian Journal of Chemistry, Journal Year: 2024, Volume and Issue: 17(6), P. 105777 - 105777
Published: April 5, 2024
Soil contamination by lead, zinc, iron, manganese, and copper is a widespread environmental issue associated with the mining industry. Primary sources include activities, production processing operations, waste disposal management practices, atmospheric sediments. degradation, water pollution impacting aquatic ecosystems, plant absorption leading to agricultural product contamination, health risks exposure copper, along effects on fauna biodiversity, constitute primary impacts of contamination. In this study, diverse sampling analysis methods, geographic information systems, remote sensing techniques are investigated for monitoring assessing soil these metals. modification techniques, phytoremediation, other strategies reduction considered among most crucial, alongside protection risk strategies. Finally, article explores innovative methods solutions mineral remediation, application green chemistry sustainable practices in industry, utilization artificial intelligence controlling heavy metal ion pollution.
Language: Английский
Citations
63
Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12
Published: Feb. 20, 2024
Detecting hazardous substances in the environment is crucial for protecting human wellbeing and ecosystems. As technology continues to advance, artificial intelligence (AI) has emerged as a promising tool creating sensors that can effectively detect analyze these substances. The increasing advancements information have led growing interest utilizing this environmental pollution detection. AI-driven sensor systems, AI Internet of Things (IoT) be efficiently used monitoring, such those detecting air pollutants, water contaminants, soil toxins. With concerns about detrimental impact legacy emerging on ecosystems health, it necessary develop advanced monitoring systems detect, analyze, respond potential risks. Therefore, review aims explore recent using AI, IOTs taking into account complexities predicting tracking changes due dynamic nature environment. Integrating machine learning (ML) methods revolutionize science, but also poses challenges. Important considerations include balancing model performance interpretability, understanding ML requirements, selecting appropriate models, addressing related data sharing. Through examining issues, study seeks highlight latest trends leveraging IOT monitoring.
Language: Английский
Citations
54
Journal of Molecular Liquids, Journal Year: 2024, Volume and Issue: 410, P. 125592 - 125592
Published: July 20, 2024
Heavy metals pose a significant threat to ecosystems and human health because of their toxic properties ability bioaccumulate in living organisms. Traditional removal methods often fall short terms cost, energy efficiency, minimizing secondary pollutant generation, especially complex environmental settings. In contrast, molecular simulation offer promising solution by providing in-depth insights into atomic interactions between heavy potential adsorbents. This review highlights the for removing types pollutants science, specifically metals. These powerful tool predicting designing materials processes remediation. We focus on specific like lead, Cadmium, mercury, utilizing cutting-edge techniques such as Molecular Dynamics (MD), Monte Carlo (MC) simulations, Quantum Chemical Calculations (QCC), Artificial Intelligence (AI). By leveraging these methods, we aim develop highly efficient selective unravelling underlying mechanisms, pave way developing more technologies. comprehensive addresses critical gap scientific literature, valuable researchers protection health. modelling hold promise revolutionizing prediction metals, ultimately contributing sustainable solutions cleaner healthier future.
Language: Английский
Citations
18
Journal of Hazardous Materials Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100724 - 100724
Published: April 1, 2025
Language: Английский
Citations
2
Chemosphere, Journal Year: 2023, Volume and Issue: 345, P. 140476 - 140476
Published: Oct. 20, 2023
Language: Английский
Citations
37
Coordination Chemistry Reviews, Journal Year: 2023, Volume and Issue: 499, P. 215487 - 215487
Published: Oct. 27, 2023
Language: Английский
Citations
34
Sustainability, Journal Year: 2023, Volume and Issue: 15(22), P. 15863 - 15863
Published: Nov. 12, 2023
Water pollution by heavy metals represents a significant threat to both the environment and public health, with pronounced risk of stomach cancer fatalities linked consumption metal-contaminated water. Consequently, need for effective governance in metal remediation is paramount. Employing comprehensive review existing literature, this study delves into prevalent models, including state-centric governance, market network voluntary governance. The primary objective research pinpoint optimal framework most efficient model. Through an analysis informed simplified Multi-Criteria Decision Analysis (MCDA) method, presents key findings, offering valuable insights policymakers, environmental agencies, industries seeking holistic strategies combat alleviate its detrimental consequences. These findings significantly contribute ongoing global efforts safeguard environment, enhance mitigate adverse impacts contamination.
Language: Английский
Citations
29
Langmuir, Journal Year: 2024, Volume and Issue: 40(10), P. 5060 - 5076
Published: Feb. 28, 2024
Water contamination is an increasing concern to mankind because of the amount pollutants in aquatic ecosystems. To purify polluted water, various techniques have been used remove hazardous components. Unfortunately, traditional cleanup with a low uptake capacity are unable achieve water purification. Metal–organic frameworks (MOFs) recently shown potential effective pollutant isolation terms selectivity and adsorption over porous materials. The high surface area versatile functionality MOFs allow for development new adsorbents. range treatments recent five years will be highlighted this review, along assessments performance relevant particular task. Moreover, outlook on future opportunities purification using also provided.
Language: Английский
Citations
15
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 946, P. 173963 - 173963
Published: June 18, 2024
Language: Английский
Citations
12