Heavy metal pollution in the aquatic environment: efficient and low-cost removal approaches to eliminate their toxicity: a review

RSC Advances, Journal Year: 2023, Volume and Issue: 13(26), P. 17595 - 17610

Published: Jan. 1, 2023

Heavy metal contamination of water sources has emerged as a major global environmental concern, threatening both aquatic ecosystems and human health. pollution in the environment is on rise due to industrialization, climate change, urbanization. Sources include mining waste, landfill leachates, municipal industrial wastewater, urban runoff, natural phenomena such volcanic eruptions, weathering, rock abrasion. ions are toxic, potentially carcinogenic, can bioaccumulate biological systems. metals cause harm various organs, including neurological system, liver, lungs, kidneys, stomach, skin, reproductive systems, even at low exposure levels. Efforts find efficient methods remove heavy from wastewater have increased recent years. Although some approaches effectively contaminants, their high preparation usage costs may limit practical applications. Many review articles been published toxicity treatment for removing wastewater. This focuses main pollution, chemical transformation, toxicological impacts environment, harmful effects ecosystem. It also examines advances cost-effective techniques physicochemical adsorption using biochar zeolite ion exchangers, well decomposition complexes through advanced oxidation processes (AOPs). Finally, advantages, applications, future potential these discussed, along with any challenges limitations that must be considered.

Language: Английский

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Recent Advances in Machine Learning Research for Nanofluid-Based Heat Transfer in Renewable Energy System

Energy & Fuels, Journal Year: 2022, Volume and Issue: 36(13), P. 6626 - 6658

Published: June 13, 2022

Nanofluids have gained significant popularity in the field of sustainable and renewable energy systems. The heat transfer capacity working fluid has a huge impact on efficiency system. addition small amount high thermal conductivity solid nanoparticles to base improves transfer. Even though large research data is available literature, some results are contradictory. Many influencing factors, as well nonlinearity refutations, make nanofluid highly challenging obstruct its potentially valuable uses. On other hand, data-driven machine learning techniques would be very useful for forecasting thermophysical features rate, identifying most influential assessing efficiencies different primary aim this review study look at applications employed nanofluid-based system, reveal new developments research. A variety modern algorithms studies systems examined, along with their advantages disadvantages. Artificial neural networks-based model prediction using contemporary commercial software simple develop popular. prognostic may further improved by combining marine predator algorithm, genetic swarm intelligence optimization, intelligent optimization approaches. In well-known networks fuzzy- gene-based techniques, newer ensemble such Boosted regression K-means, K-nearest neighbor (KNN), CatBoost, XGBoost gaining due architectures adaptabilities diverse types. regularly used fuzzy-based mostly black-box methods, user having little or no understanding how they function. This reason concern, ethical artificial required.

Language: Английский

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Perspective review on Municipal Solid Waste-to-energy route: Characteristics, management strategy, and role in circular economy

Journal of Cleaner Production, Journal Year: 2022, Volume and Issue: 359, P. 131897 - 131897

Published: May 4, 2022

Language: Английский

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Recent advances in hydrogen production from biomass waste with a focus on pyrolysis and gasification

International Journal of Hydrogen Energy, Journal Year: 2023, Volume and Issue: 54, P. 127 - 160

Published: May 21, 2023

Language: Английский

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Biomass-derived activated carbon nanocomposites for cleaner production: A review on aspects of photocatalytic pollutant degradation

Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 419, P. 138181 - 138181

Published: July 25, 2023

Language: Английский

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Remediation of heavy metal polluted waters using activated carbon from lignocellulosic biomass: An update of recent trends

Chemosphere, Journal Year: 2022, Volume and Issue: 302, P. 134825 - 134825

Published: May 5, 2022

Language: Английский

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Threats, challenges and sustainable conservation strategies for freshwater biodiversity

Environmental Research, Journal Year: 2022, Volume and Issue: 214, P. 113808 - 113808

Published: July 4, 2022

Language: Английский

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A critical review of sustainable application of biochar for green remediation: Research uncertainty and future directions

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 904, P. 166813 - 166813

Published: Sept. 6, 2023

Language: Английский

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Use of biochar as a low-cost adsorbent for removal of heavy metals from water and wastewater: A review

Journal of environmental chemical engineering, Journal Year: 2023, Volume and Issue: 11(5), P. 110986 - 110986

Published: Sept. 9, 2023

Language: Английский

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Hydrothermal carbonization of food waste as sustainable energy conversion path

Bioresource Technology, Journal Year: 2022, Volume and Issue: 363, P. 127958 - 127958

Published: Sept. 13, 2022

Language: Английский

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