Green Technologies and Sustainability最新文献

{"title":"Towards coal mining waste valorization: Gangue as resource for the production of geopolymer and related alkali-activated materials","authors":"Georgy Lazorenko ,&nbsp;Anton Kasprzhitskii ,&nbsp;E.A. Yatsenko ,&nbsp;Li Wensheng ,&nbsp;Sandeep Chaudhary","doi":"10.1016/j.grets.2025.100205","DOIUrl":"10.1016/j.grets.2025.100205","url":null,"abstract":"<div><div>The high rate of coal production leads to the formation of huge amounts of waste and byproducts, including coal gangue (CG), which has become the largest industrial residue in the energy industry. Among new management strategies, recycling and valorization of CG to produce alkali-activated binder systems promises environmental and economic benefits, including carbon emission reduction, stabilization of contaminated or inert coal mining waste, and reduced consumption of primary resources used in the construction sector. This paper provides a critical and comprehensive review of earlier studies on using coal gangue as a resource for geopolymers and related alkali-activated materials (AAMs). More specifically, this review summarizes the physicochemical features of CG and discusses the main factors influencing the performance of AAMs based on them. The possible engineering uses of these materials are also covered. Additionally, it is important to note the limitations of coal gangue to make AAMs and identify where further research is needed.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100205"},"PeriodicalIF":0.0,"publicationDate":"2025-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating surface and subsurface influences to assess groundwater potential in a rapidly urbanizing temperate region: A Geographic Information System-Analytical Hierarchy Process (GIS-AHP) case study of Shelby County, Tennessee","authors":"Tareq Jamal Chy ,&nbsp;Khairul Hasan ,&nbsp;Asif Bin Alam Seum ,&nbsp;Khayrun Nahar Mitu","doi":"10.1016/j.grets.2025.100204","DOIUrl":"10.1016/j.grets.2025.100204","url":null,"abstract":"<div><div>The overutilization of groundwater and the significant weather transformations over the years have placed immense strain on global groundwater reserves. As the demand for potable water across the world for human consumption, agricultural, and industrial use grows, so does the necessity to assess the groundwater potential and productivity of aquifers. In recent years, geographic information system based studies have become increasingly prominent in groundwater exploration due to its promptness and the direct data it provides on the resource for further development. Therefore, the present study was conducted with the objective of demarcating the groundwater potential zone of Shelby County, Tennessee. To this end, Geographic Information System (GIS) and Analytical Hierarchical Process (AHP) techniques were employed to create 8 thematic layers, such as elevation, slope, drainage density, lineament density, rainfall, land cover, soil group, and porosity. Weights allocated to the various classes of the thematic maps were based upon insight via the AHP method. The exploration of Shelby County’s groundwater revealed a stratification of five distinct potentials – very low, low, moderate, high, and very high – with the moderate zone occupying the greatest portion at 62.5%. The low and high zones followed at 8.92% and 28%, respectively, and the very low and very high potentials were only observed in tiny, isolated sections. These findings can grant policymakers the insight needed to make prudent, sustainable decisions in regards to the management of the study area’s groundwater resources.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100204"},"PeriodicalIF":0.0,"publicationDate":"2025-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143808799","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Building urban climate resilience: An inclusive approach to heat stress mapping and capacity building in Ayodhya, India","authors":"Farheen Bano ,&nbsp;Abirbhav Sanyal ,&nbsp;Vandana Sehgal ,&nbsp;Ritu Gulati ,&nbsp;Gaurav Singh ,&nbsp;Jente Broeckx ,&nbsp;Ibrahim Hafeezur Rehman ,&nbsp;Raf Theunissen ,&nbsp;Tomas Crols ,&nbsp;Shu Yang","doi":"10.1016/j.grets.2025.100203","DOIUrl":"10.1016/j.grets.2025.100203","url":null,"abstract":"<div><div>Urban areas are increasingly vulnerable to the impacts of climate change, necessitating robust and inclusive approaches to enhance resilience, which in turn demands sufficient public and governmental awareness and understanding of climate change. This study focuses on Ayodhya, a fast-developing city in India, and employs a comprehensive methodology to build climate resilience through capacity building of faculty, students, stakeholders, and dissemination efforts targeting the public and school children. The methodology integrates training workshops, collaborative projects, and public outreach to foster an understanding of climate resilience principles and practices.</div><div>By empowering local communities and institutions with knowledge and tools to address climate challenges, the study demonstrates significant improvements in preparedness and adaptive capacity. A key component of the research involved heat stress mapping in Ayodhya, utilizing Geographic Information Systems (GIS) to identify high-risk areas and analyze patterns of heat exposure. Future projections of heat stress and temperature, validated with participatory in-situ measurements, were generated using climate models, providing critical data to inform adaptive strategies.</div><div>Key findings include significant improvements in preparedness and adaptive capacity, driven by a multi-faceted approach to capacity building. The paper highlights two primary outcomes: detailed results on heat exposure in Ayodhya, obtained through GIS mapping and climate models, and the analysis of methodologies employed for capacity building. Heat stress mapping identified high-risk areas and patterns of heat exposure and validated with participatory in-situ measurements. The paper underscores the importance of inclusive and participatory methods in urban climate resilience planning and offers a replicable model for other rapidly urbanizing regions facing similar challenges.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100203"},"PeriodicalIF":0.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Digital technologies for the Sustainable Development Goals","authors":"Dharmendra Hariyani ,&nbsp;Poonam Hariyani ,&nbsp;Sanjeev Mishra","doi":"10.1016/j.grets.2025.100202","DOIUrl":"10.1016/j.grets.2025.100202","url":null,"abstract":"<div><div>Digital technologies (DTs) play a crucial role in advancing the United Nations’ Sustainable Development Goals (SDGs). It provides innovative solutions to global challenges like poverty alleviation, equitable healthcare, climate action, and responsible consumption. This study is motivated by the growing significance of DTs in addressing sustainability challenges and their critical contribution to achieving the SDGs while identifying barriers to their adoption. Using a systematic review, this review examines the contributions of various DTs, i.e., AI, IoT, blockchain, cloud computing, big data analytics, remote sensing, and GIS in addressing SDGs. The review methodology includes the keywords search in the title, abstract, and keywords “Digital Technologies” and “Sustainable Development” on the Scopus database. A total of 473 peer-reviewed articles are included in the study. The findings highlight the transformative role of DTs in enhancing resource optimization, decision-making, and service delivery and achieving various SDGs. AI facilitates automation and predictive analytics, supporting healthcare (SDG 3) and climate action (SDG 13). Blockchain enhances transparency, security, and ethical governance (SDG 16). IoT enables real-time monitoring for smart cities (SDG 11) and energy efficiency (SDG 7). Big data analytics strengthens supply chains, agricultural productivity (SDG 2), and disaster management (SDG 13). Cloud computing fosters collaboration and scalability (SDG 9, SDG 17), while 5G networks improve connectivity and infrastructure development. Remote sensing and GIS provide essential insights for environmental monitoring (SDG 14, SDG 15) and disaster response.</div><div>Despite these benefits, several challenges hinder DT adoption, including the digital divide, high costs, data privacy concerns, and skill shortages. To overcome these barriers, the study emphasizes policy measures such as (i) increased government investments in digital infrastructure, (ii) strategic public–private partnerships, and (iii) capacity-building initiatives for organizations, communities, and individuals. Ensuring equitable access, ethical digital practices, and environmental sustainability is crucial to fully leveraging DTs for SDGs achievement. This comprehensive analysis provides valuable insights for policymakers, industry leaders, businesses, organizations, researchers, communities, and individuals for leveraging and developing inclusive sustainable digital transformation strategies that accelerate progress toward the SDGs.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100202"},"PeriodicalIF":0.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725373","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing circular economy transition in the Nigeria construction industry through digital twin technology adoption","authors":"Imoleayo A. Awodele ,&nbsp;Emmanuel C. Eze ,&nbsp;Angel M. Gento Municio ,&nbsp;Molusiwa S. Ramabodu ,&nbsp;Nathaniel A. Olatunde","doi":"10.1016/j.grets.2025.100201","DOIUrl":"10.1016/j.grets.2025.100201","url":null,"abstract":"<div><div>Despite the environmentally detrimental consequences of the prevailing traditional linear project delivery model, research on the influence of digital twinning (DT) in facilitating the transition to a circular economy (CE) within the construction sector of developing nations has garnered limited attention. This research examines the role of digital twinning (DT) in advancing the circular economy (CE) within the construction industry, with the aim of accelerating progress towards achieving sustainable development goals. A comprehensive literature assessment was conducted to ascertain the impact of digital transformation on the transition to a circular economy and the advantages of this digital twinning (DT) in the construction industry’s efforts towards circular economy transition. A survey questionnaire was developed and distributed to construction professionals utilizing convenience sample methods. The collected data, exhibiting a response rate of 57.76% and a reliability of above 0.750, were analyzed utilizing frequency and percentage, mean item score, normalization value, Kruskal–Wallis H-test and Kendall’s coefficient of concordance. This study identified seven major benefits of adopting Digital Twinning to enhance the circular economy transition efforts in Nigeria’s construction industry. These are: waste reduction and recycling, supporting circular economy transition, customer insights, asset management and efficiency, new business opportunities, advanced monitoring and prediction and boost production and profits. Also, Kendall’s W test indicated a significant statistical consensus among survey participants for the advantages of enhancing digital twins in the construction activities’ circular economy transition. Research on the incorporation of digital twinning (DT) in the circular economy transition is limited, particularly in the Nigerian setting. This study represents a pioneering investigation into the role of Digital Twinning in facilitating the transition to a Circular Economy in Nigeria, a domain where research is limited.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100201"},"PeriodicalIF":0.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715706","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing mix design of hybrid fiber reinforced concrete with abaca and polypropylene fibers through Taguchi method and Grey Relational analysis approach","authors":"Rama Rao Panugalla ,&nbsp;Harika Rayana ,&nbsp;Ramujee Kolli ,&nbsp;Lakshit Jain","doi":"10.1016/j.grets.2025.100200","DOIUrl":"10.1016/j.grets.2025.100200","url":null,"abstract":"<div><div>In the present investigation, the effect of hybrid fiber reinforcement on the performance of concrete is evaluated by adding two different types of fibers: abaca and polypropylene. Polypropylene fibers are the thermoplastic material widely used in concrete composites for increasing durability, and abaca fibers are prominent naturally available plant fibers used to enhance mechanical properties. The water–cement ratio, abaca fibers, and polypropylene fibers are considered variables for optimizing the mix proportions. The Taguchi method with a grey relation approach has been adopted for the present study to reduce the number of hybrid fiber reinforced mixes from 27 to 9 and also to optimize results. The parameters such as larger the better for compressive strength, flexural strength, and smaller the better for water–cement ratio are assigned to evaluate results. A total of twelve mixes were cast and tested. Among the twelve mixes, nine are attained from the L9 orthogonal matrix given by the Taguchi method, and the other three are control mixes. The workability of mixes ranges from very low to medium slump. The mix with lower hybrid fiber content and higher w/c ratio showed better workability among hybrid fiber-reinforced mixes. The hardened properties of mixes are evaluated after 7 days and 28 days of water curing. The results obtained are analyzed using the Taguchi and Grey Relational Approach. The optimum mix proportions are derived and validated. The statistical analysis identified that the mix containing abaca fiber (0.25%) and polypropylene fiber (0.125%) with a water–cement​ ratio of 0.4 outperformed with optimum strength and water absorption properties. From this study, it is concluded that the predicted and experimental results are in good correlation.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100200"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thank you reviewers!","authors":"","doi":"10.1016/j.grets.2025.100198","DOIUrl":"10.1016/j.grets.2025.100198","url":null,"abstract":"","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100198"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143644027","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Applications of machine learning and deep learning in agriculture: A comprehensive review","authors":"Muhammad Waqas ,&nbsp;Adila Naseem ,&nbsp;Usa Wannasingha Humphries ,&nbsp;Phyo Thandar Hlaing ,&nbsp;Porntip Dechpichai ,&nbsp;Angkool Wangwongchai","doi":"10.1016/j.grets.2025.100199","DOIUrl":"10.1016/j.grets.2025.100199","url":null,"abstract":"<div><div>The digitalization of agriculture has increasingly integrated artificial intelligence (AI), machine learning (ML), and deep learning (DL) to address the challenges arising from population growth, climate change (CC), and resource limitations. This study provides a comprehensive review of the potential applications of AI techniques across various stages of agricultural production, with a particular focus on innovations that align with climate-smart agricultural practices. The review encompasses research conducted from 2018–2024, emphasizing the use of ML and DL in areas such as crop selection, land monitoring and management, water, soil and nutrient management, weed control, harvest and post-harvest practices, pest and insect management, and soil management. The findings underscore that ML and DL facilitate the analysis of complex datasets, enabling data-driven decision-making, reducing reliance on subjective expertise, and improving farm management strategies. Despite challenges such as data availability, model interpretability, scalability, security concerns, and user interface design, which hinder the widespread adoption of ML and DL methodologies, collaborative efforts among stakeholders can help overcome these barriers. This review concludes that ongoing advancements in ML and DL present significant opportunities to enhance agricultural productivity, sustainability, and resilience. By leveraging data-driven insights and innovative technologies, the agricultural sector can transition toward more efficient, environmentally sustainable, and economically viable practices, contributing to global food security and environmental preservation.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100199"},"PeriodicalIF":0.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143682313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Fermatean fuzzy approach to analyze the drivers of digital transformation in the agricultural production sector: A pathway to sustainability for emerging economies","authors":"Md. Zahidul Anam ,&nbsp;Md. Hasibul Islam ,&nbsp;Md. Tamzidul Islam ,&nbsp;A.B.M. Mainul Bari ,&nbsp;Asif Raihan","doi":"10.1016/j.grets.2025.100197","DOIUrl":"10.1016/j.grets.2025.100197","url":null,"abstract":"<div><div>The adoption of digital technologies in agriculture offers opportunities for efficiency and sustainability, particularly in emerging economies with resource and infrastructure constraints. However, challenges persist, exacerbated by crises such as COVID-19 and geopolitical instabilities, highlighting agricultural supply chains’ fragility. Industry 5.0-driven digital transformation (DT) can mitigate these challenges by enhancing food security, supply chain resilience, and environmental sustainability. This study identifies and analyzes key drivers of DT in agricultural production from a holistic perspective. Through a literature review and expert validation, 19 key drivers were identified in the context of Bangladesh. An integrated multi-criteria decision-making (MCDM) approach, combining the Fermatean fuzzy sets (FFS) with the decision-making trial and evaluation laboratory (DEMATEL) technique, was applied to examine the drivers and explore interrelations among them. The results indicate that the most influential drivers are ’commitment from regulatory bodies’, ’maximizing the use of dwindling resources’, ’fostering rural development’, and ’the need for safe food’, with prominence values of 4.175, 4.001, 3.999, and 3.888, respectively. Additionally, ’commitment from regulatory bodies’ emerges as the most impactful causal factor, having a causal weight of 1.848. These findings provide insights for policymakers and industry managers in emerging economies, supporting strategic decision-making to drive sustainable agricultural transformation and achieve the relevant sustainable development goals.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100197"},"PeriodicalIF":0.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578231","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Removal of anionic dyes by magnetic modified A.barbadensis Miller residue leaves as a bio-adsorbent using biosorption process","authors":"Shweta Gupta,&nbsp;Amit Prajapati,&nbsp;Arinjay Kumar","doi":"10.1016/j.grets.2025.100196","DOIUrl":"10.1016/j.grets.2025.100196","url":null,"abstract":"<div><div>The method of using waste from <em>A.barbadensis miller</em> leaves powder as a biosorbent has shown promise in treating wastewater, there has not been much research done on magnetized​ biosorbent up to this extent. This study investigates the biosorption of anionic dyes Direct blue dyes – 86 and Acid yellow-36 from aqueous solution by magnetic Modified <em>A. barbadense Miller</em> leaves derived (MMABL). The Synthesis of MMABL, physicochemical characteristics have been investigated by VSM, BET, XRD, SEM-EDX, FTIR. To study the effect of pH (1–9), Concentration (10–200 mg/l), Contact Time (10–60 min) Temperature (283–323 K), kinetics, isotherms and thermodynamics on the biosorption of dyes batch biosorption experiments were conducted. Optimum values of this conduct experiment at 100mg/l aqueous dye solution, 0.6 g of MMABL, pH 2, RPM 170, Temp 303 K, Time 40 min. The kinetic study demonstrated pseudo second order fitted well both the anionic dyes and Langmuir adsorption isotherm model best represented biosorption results with the maximum monolayer adsorption capacity of 75.18 mg/l for AY-36 and 312.5 mg/l for DB -86. According to the thermodynamics parameters biosorption process were spontaneous and favoured endothermic reaction. Regeneration and reusability of MMABL were investigated. The findings in this research are suggesting MMABL as an inexpensive biosorbent that demonstrates high efficacy for anionic dyes removal in a more realistic biosorption system.</div></div>","PeriodicalId":100598,"journal":{"name":"Green Technologies and Sustainability","volume":"3 3","pages":"Article 100196"},"PeriodicalIF":0.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143591749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}