Research on the Sustainability of Construction Models for Rural Sewage Treatment Facilities

Sustainability, Год журнала: 2025, Номер 17(1), С. 310 - 310

Опубликована: Янв. 3, 2025

Against the backdrop of promoting rural revitalization and ecological protection, quality life living environment has been greatly improved. But with improvement in standards, amount domestic sewage discharge also increased, bringing enormous pressure to environment. Therefore, strengthening construction management treatment facilities is an important part achieving sustainable development. This article takes areas western China as example investigate analyze characteristics existing problems their facilities. A set evaluation indicators for suitable regions constructed, which covers three aspects indicators: Technology, Environment, Economy. The weights each indicator are determined through fuzzy analytic hierarchy process. Validate model specific cases ensure practicality accuracy system. provides a certain reference scientific development China. practical significance useful environmental protection other regions.

Язык: Английский

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PFAS Contamination and Mitigation: A Comprehensive Analysis of Research Trends and Global Contributions

Case Studies in Chemical and Environmental Engineering, Год журнала: 2025, Номер 11, С. 101127 - 101127

Опубликована: Фев. 1, 2025

Язык: Английский

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Catalysis in Biofuel Production and Biomass Valorization: Trends, Challenges, and Innovations Through a Bibliometric Analysis

Catalysts, Год журнала: 2025, Номер 15(3), С. 227 - 227

Опубликована: Фев. 27, 2025

Biomass valorization and biofuel production are essential strategies for converting renewable organic materials into sustainable energy, addressing the urgent need alternatives to fossil fuels. This study conducts a bibliometric analysis of 1657 publications from Scopus database, covering period 2010 December 2024, revealing significant trends in this field. The number published articles reached 318 peaking at 163 2020, which garnered 7302 citations, indicating robust global interest. China leads research landscape with 550 17,577 followed by United States 160 9359 citations. Key journals include “ACS Sustainable Chemistry Engineering” “Chemsuschem”, highlighting important contributions identifies four clusters: role lignin heterogeneous catalysis biomass conversion; pyrolysis waste techniques; key chemical intermediates biomass; advanced reactions like hydrogenolysis enhancing product value. emphasizes innovative interdisciplinary collaboration improve utilization production. Future should focus on developing integrated systems that promote circular economy, optimize reaction conditions, explore new feedstocks. Overall, significantly advances understanding conversion processes supports transition energy solutions, underscoring critical achieving sustainability goals.

Язык: Английский

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A Bibliometric Analysis and Review on Applications of Industrial By-Products in Asphalt Mixtures for Sustainable Road Construction

Buildings, Год журнала: 2024, Номер 14(10), С. 3240 - 3240

Опубликована: Окт. 12, 2024

The growing consumption of natural resources to meet the needs road construction has become a significant challenge environmental sustainability. Additionally, increase in industrial by-products raised global concerns due their impacts. utilization asphalt mixtures offers an effective solution for promoting sustainable practices. objective this article is conduct bibliometric analysis and citation-based review characterize analyze scientific literature on use steel slag aggregates, copper slag, phosphorus bottom ash, fly red mud, silica fume, foundry sand mixtures. Another aim identify research gaps propose recommendations future studies. was conducted using VOSviewer software version 1.6.18, focusing authors, co-authorship, bibliographic coupling, countries. A total 909 articles were selected analysis. findings indicate that more effort needed expand application Furthermore, these should be utilized different types incorporation into mixes also requires field validation further laboratory investigations, particularly concerning aging moisture resistance. In addition, effects chemical reactions involving long-term performance layers evaluated. Finally, encourages engineers researchers intensify efforts utilizing

Язык: Английский

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From Agro-Waste to Bioactive Wealth: Analyzing Nutraceutical Extraction and Applications

Case Studies in Chemical and Environmental Engineering, Год журнала: 2024, Номер unknown, С. 101066 - 101066

Опубликована: Дек. 1, 2024

Язык: Английский

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Advancements in artificial neural networks and fast pyrolysis of biomass processing: A comprehensive review and a bibliometric analysis

Journal of Analytical and Applied Pyrolysis, Год журнала: 2025, Номер unknown, С. 107098 - 107098

Опубликована: Март 1, 2025

Язык: Английский

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A dual approach using response surface methodology and machine learning for optimization and enhancement of microalgae‐based municipal wastewater treatment

Journal of Chemical Technology & Biotechnology, Год журнала: 2025, Номер unknown

Опубликована: Март 26, 2025

Abstract BACKGROUND Municipal wastewater comprises both organic and inorganic contaminants. Especially in rural areas, conventional municipal treatment plants primarily focus on carbon removal; therefore, nutrient removal should be prioritized for preventing environmental pollution. Mixotrophic microalgae such as Nannochloropsis sp. have significant potential removal. However, microalgae‐based systems can affected by many parameters and, using response surface methodology decision tree, a machine learning model help to determine the optimal conditions operate more efficiently. RESULTS The were determined light period of 21 h at an intensity 8000 lx temperature value 30 °C. Under these conditions, respective efficiency chemical oxygen demand, total carbon, Kjeldahl nitrogen, orthophosphate was 53%, 34%, 87%, 70%, respectively. Chlorophyll‐a concentration increased much 49%. Real used instead synthetic wastewater, yielding closer approximations real situations. CONCLUSION present study has underscored innovative, data‐driven approaches core ensuring sustainable management sets useful framework future research, which could done with aim refining methods enhance treatment. © 2025 Author(s). Journal Chemical Technology Biotechnology published John Wiley & Sons Ltd behalf Society Industry (SCI).

Язык: Английский

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Trends in Safety Culture Research: A Scopus Analysis

Safety, Год журнала: 2025, Номер 11(2), С. 33 - 33

Опубликована: Апрель 7, 2025

Safety culture plays a vital role in creating safer work environments, making its understanding important. This paper comprehensively analyzes safety research trends through bibliometric study using the Scopus database. provided full insight by analyzing 7058 papers published between 1978 and 2023, employing PRISMA method VOSviewer 1.6.19 for mapping. The USA, England, China, Australia are leading contributors, with Johns Hopkins University being most active institution. Approximately 75% of publications co-authored, indicating strong collaboration this field. Guldenmund (2000) is referenced research. Based on results, identifies significant geographical gaps, particularly Oceania, South America, Middle East, Southeast Asia, Africa, as well underexplored sectors such transportation, logistics, energy, sports, education, construction. COVID-19 pandemic has profoundly impacted area, healthcare, while potentially diverting attention from other critical sectors. contributes fresh perspective research, offering valuable insights scholars practitioners. Additionally, it highlights importance interdisciplinary addressing unique challenges faced across diverse industries regions.

Язык: Английский

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Energy Optimization and AI-Powered Adsorption Technologies for Sustainable Water Treatment

Advances in civil and industrial engineering book series, Год журнала: 2025, Номер unknown, С. 159 - 182

Опубликована: Фев. 14, 2025

The integration of energy optimization and AI-powered adsorption technologies holds significant potential for sustainable water treatment. This chapter discusses advanced methods adsorption, amplified by artificial intelligence, in a bid to solve the challenge quality with minimized consumption. Some focus areas include predictive models AI-driven efficiency, real-time monitoring contaminants, adsorbent materials. is an area where machine learning deep techniques enhance treatment systems greater operational less footprint, more scalable. Other novel adsorbents nanomaterials which have been discussed this chapter, discussion on possibility realizing high capacity selectivity. explores AI analytics enhancing global sustainability goals presenting case studies practical frameworks demonstrate feasibility real-world applications.

Язык: Английский

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Worldwide Research Progress and Trends in Application of Machine Learning to Wastewater Treatment: A Bibliometric Analysis

Water, Год журнала: 2025, Номер 17(9), С. 1314 - 1314

Опубликована: Апрель 28, 2025

Efficient wastewater treatment with high-quality effluent and minimal operational costs carbon emissions is vital for safeguarding the ecological environment promoting human health. However, process extremely complicated due to characteristics of multiple mechanisms, high disturbance variability nonlinear behaviors; therefore, optimizing through intelligent control a long-standing challenge researchers operators. Machine learning models are regarded as effective tools better simulating controlling complex behaviors. With aid bibliometric analysis, this paper aimed summarize worldwide research progress trends in application machine among 1226 related publications. The findings indicate that China United States two leading countries, publications 342 209, respectively, while an outstanding global collaboration leader field. Research institutions authors mainly from developing accounts largest proportion these. analysis journal cited contributions report almost all top 10 journals belong Q1 quartile (9/10). Overall, future will likely focus on systematic, strong multi-objective treatment. A hybrid model could take advantage or more mechanistic models, which have been verified excellent tackling limited data. Thus, predicting pollutants rather than influent using attracting increasing attention because prediction contributes reducing loading shock sharp fluctuation quality. Also, development advanced data acquirement devices AI partially default should also be another research.

Язык: Английский

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