Pub Date : 2026-01-17DOI: 10.1016/j.rcradv.2026.200315
Sara Ordonselli, Tsz Ho Kwok
The growing accumulation of plastic waste in landfills necessitates improved recycling methods. This study addresses the challenge of recycling acrylonitrile–butadiene–styrene (ABS) plastic by focusing on the removal of carbon black (CB) pigments, which complicate solvent-based recycling processes by affecting dissolution, purification, and the quality of recovered polymers. We developed an innovative Dissolution–Separation–Precipitation (D–S–P) method that utilizes a collector solvent to attract and remove carbon black (CB) through hydrogen bonding. The process was evaluated using color measurements, Fourier-Transform Infrared Spectroscopy (FTIR), Gel Permeation Chromatography (GPC), Differential Scanning Calorimetry (DSC), and Thermogravimetric Analysis (TGA) to assess the efficiency of CB removal and the preservation of ABS properties. This research introduces a novel approach for targeted pigment removal in ABS recycling, addressing a specific gap in current solvent-based recycling techniques that generally do not focus on pigment contaminants. The D–S–P process effectively removed CB, with the recovery of transmittance related with carbonyl groups approaching that of virgin ABS. Additionally, the analyses confirmed that the molecular weight distribution and thermal properties of the recovered ABS were well-preserved. The D–S–P method enhances the recyclability of ABS by efficiently removing CB pigments while maintaining the polymer’s mechanical and chemical properties. This approach not only improves the quality of recycled materials but also offers a practical solution for advancing plastic recycling technologies.
{"title":"Dissolution–Separation–Precipitation (D–S–P) method for removing carbon black from acrylonitrile–butadiene–styrene (ABS)","authors":"Sara Ordonselli, Tsz Ho Kwok","doi":"10.1016/j.rcradv.2026.200315","DOIUrl":"10.1016/j.rcradv.2026.200315","url":null,"abstract":"<div><div>The growing accumulation of plastic waste in landfills necessitates improved recycling methods. This study addresses the challenge of recycling acrylonitrile–butadiene–styrene (ABS) plastic by focusing on the removal of carbon black (CB) pigments, which complicate solvent-based recycling processes by affecting dissolution, purification, and the quality of recovered polymers. We developed an innovative Dissolution–Separation–Precipitation (D–S–P) method that utilizes a collector solvent to attract and remove carbon black (CB) through hydrogen bonding. The process was evaluated using color measurements, Fourier-Transform Infrared Spectroscopy (FTIR), Gel Permeation Chromatography (GPC), Differential Scanning Calorimetry (DSC), and Thermogravimetric Analysis (TGA) to assess the efficiency of CB removal and the preservation of ABS properties. This research introduces a novel approach for targeted pigment removal in ABS recycling, addressing a specific gap in current solvent-based recycling techniques that generally do not focus on pigment contaminants. The D–S–P process effectively removed CB, with the recovery of transmittance related with carbonyl groups approaching that of virgin ABS. Additionally, the analyses confirmed that the molecular weight distribution and thermal properties of the recovered ABS were well-preserved. The D–S–P method enhances the recyclability of ABS by efficiently removing CB pigments while maintaining the polymer’s mechanical and chemical properties. This approach not only improves the quality of recycled materials but also offers a practical solution for advancing plastic recycling technologies.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"29 ","pages":"Article 200315"},"PeriodicalIF":6.4,"publicationDate":"2026-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037446","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}
Pub Date : 2026-01-08DOI: 10.1016/j.rcradv.2026.200314
Ziyi Han , Kazutake Oosawa , Yuichiro Kanematsu , Heng Yi Teah , Yasunori Kikuchi
Forests are essential for global ecological stability, carbon balance, and the sustainable supply of roundwood resources. Forests in Japan are undergoing a policy-driven transition aimed at enhancing forest health and roundwood supply. This study presents the Forest Management Model for Cyclical Forestry (FM2-CF), a backcasting simulation model designed to support this transition over a 100-year horizon. The model integrates forest structural factors, forestry operational factors, and regulatory factors to investigate the long-term implications regarding Japan’s forest resources under the transition. It characterizes the national age-class transition of single-storied forests, quantifying roundwood supply and CO2 fixation potential. Regional analyses across all 47 prefectures reveal pronounced spatial disparities in forest resources, indicating the necessity of localized strategies. In addition, FM2-CF evaluates the required forestry operational efforts measured by forest area, labor force, and cost. The simulated forestry management has revealed a shift of operational focus from reforestation and weeding in the early stages toward more balanced harvesting and thinning activities in matured forests. Scenario-based projections of roundwood supply–demand dynamics have highlighted surpluses and shortfalls across regions and time. Our results provided insights into the sufficiency and timing of supply relative to evolving policy-related utilization demand. While the model is primarily structured as a supply-side strategic planning tool, it provides a valuable roadmap for aligning long-term forest renewal with sustainable management practices and assessing policy feasibility. Future extensions may incorporate growth modeling and demand-side mechanisms to improve applicability across broader contexts and other countries.
{"title":"Simulating forest transition for sustainable forestry planning in Japan: A backcasting model of roundwood supply and carbon stocks with operational and regional considerations","authors":"Ziyi Han , Kazutake Oosawa , Yuichiro Kanematsu , Heng Yi Teah , Yasunori Kikuchi","doi":"10.1016/j.rcradv.2026.200314","DOIUrl":"10.1016/j.rcradv.2026.200314","url":null,"abstract":"<div><div>Forests are essential for global ecological stability, carbon balance, and the sustainable supply of roundwood resources. Forests in Japan are undergoing a policy-driven transition aimed at enhancing forest health and roundwood supply. This study presents the Forest Management Model for Cyclical Forestry (FM2-CF), a backcasting simulation model designed to support this transition over a 100-year horizon. The model integrates forest structural factors, forestry operational factors, and regulatory factors to investigate the long-term implications regarding Japan’s forest resources under the transition. It characterizes the national age-class transition of single-storied forests, quantifying roundwood supply and CO<sub>2</sub> fixation potential. Regional analyses across all 47 prefectures reveal pronounced spatial disparities in forest resources, indicating the necessity of localized strategies. In addition, FM2-CF evaluates the required forestry operational efforts measured by forest area, labor force, and cost. The simulated forestry management has revealed a shift of operational focus from reforestation and weeding in the early stages toward more balanced harvesting and thinning activities in matured forests. Scenario-based projections of roundwood supply–demand dynamics have highlighted surpluses and shortfalls across regions and time. Our results provided insights into the sufficiency and timing of supply relative to evolving policy-related utilization demand. While the model is primarily structured as a supply-side strategic planning tool, it provides a valuable roadmap for aligning long-term forest renewal with sustainable management practices and assessing policy feasibility. Future extensions may incorporate growth modeling and demand-side mechanisms to improve applicability across broader contexts and other countries.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"29 ","pages":"Article 200314"},"PeriodicalIF":6.4,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977027","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}
Pub Date : 2026-01-08DOI: 10.1016/j.rcradv.2026.200313
Firas Hilaloglu , Qudsia Kanwal , Mohammed A. Almarshoud , Sami G. Al-Ghamdi
The cement industry accounts for approximately 8% of global anthropogenic carbon dioxide emissions, underscoring the need for scalable in-material sequestration strategies. This study reviews current and emerging pathways for carbon dioxide sequestration in cement-based systems, focusing on process-based approaches such as accelerated carbonation curing and material-based strategies including mineral carbonation of alkaline byproducts like cement kiln dust and fly ash. The discussion is structured around three guiding questions: (1) how these approaches affect durability, strength development, and pore structure; (2) their economic feasibility and the role of enabling policy frameworks; and (3) optimal carbon dioxide incorporation levels that balance structural performance and environmental impact. Key findings include early-age strength gains from accelerated carbonation curing, pore densification with limited carbon dioxide diffusion, and corrosion risks in reinforced systems. Economic assessments estimate sequestration costs in the range of 25–56 United States dollars per metric ton of carbon dioxide, with particularly strong feasibility in precast concrete applications. Policy mechanisms such as carbon pricing, durability certification, and deployment subsidies are identified as critical enablers. Future opportunities include cast-in-place carbonation, low-purity carbon dioxide utilization, and life cycle-integrated curing strategies. By linking material science, engineering integration, and policy instruments, the paper outlines a comprehensive framework for advancing carbon-sequestering cement technologies in low-carbon construction.
{"title":"CO₂ sequestration pathways in cementitious materials: Mechanisms, material synergies, and deployment challenges for low-carbon construction","authors":"Firas Hilaloglu , Qudsia Kanwal , Mohammed A. Almarshoud , Sami G. Al-Ghamdi","doi":"10.1016/j.rcradv.2026.200313","DOIUrl":"10.1016/j.rcradv.2026.200313","url":null,"abstract":"<div><div>The cement industry accounts for approximately 8% of global anthropogenic carbon dioxide emissions, underscoring the need for scalable in-material sequestration strategies. This study reviews current and emerging pathways for carbon dioxide sequestration in cement-based systems, focusing on process-based approaches such as accelerated carbonation curing and material-based strategies including mineral carbonation of alkaline byproducts like cement kiln dust and fly ash. The discussion is structured around three guiding questions: (1) how these approaches affect durability, strength development, and pore structure; (2) their economic feasibility and the role of enabling policy frameworks; and (3) optimal carbon dioxide incorporation levels that balance structural performance and environmental impact. Key findings include early-age strength gains from accelerated carbonation curing, pore densification with limited carbon dioxide diffusion, and corrosion risks in reinforced systems. Economic assessments estimate sequestration costs in the range of 25–56 United States dollars per metric ton of carbon dioxide, with particularly strong feasibility in precast concrete applications. Policy mechanisms such as carbon pricing, durability certification, and deployment subsidies are identified as critical enablers. Future opportunities include cast-in-place carbonation, low-purity carbon dioxide utilization, and life cycle-integrated curing strategies. By linking material science, engineering integration, and policy instruments, the paper outlines a comprehensive framework for advancing carbon-sequestering cement technologies in low-carbon construction.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"29 ","pages":"Article 200313"},"PeriodicalIF":6.4,"publicationDate":"2026-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037509","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}
Pub Date : 2026-01-06DOI: 10.1016/j.rcradv.2026.200312
Kexuan Wu, Xiaoxiao Niu, Hailun Zhu, Penghan Li, Baiyu Dong, Zhangquan Shen, Ke Wang
<div><div>Land subsidence in coastal cities may increase the risk of being submerged, and building load is one of the important causes of urban land subsidence. Considering the rapid urbanization of China, it is increasingly urgent to examine the impact of the growing building load on urban land subsidence in coastal cities of China. At present, few studies have introduced building weight as an indicator to characterize building loads, and there is a lack of large-area and multi-scale research on the relationship between land subsidence and building loads. On such a basis, this study raised a 10 m resolution urban building weight estimation method, and proposed a multi-scale, multi-index, and multi-subsidence-level investigation framework for the relationship between urban land subsidence and building load. Specifically, XGBoost model was applied on Sentinel images and OSM data to estimate the building floors in Shanghai; Then, building material intensity factors and building type vectors were introduced and combined with the estimated building floors to calculate building weight(The total weight was 2.12×10<sup>9</sup> t, the weight per unit area was 1.46×10<sup>6</sup> t/km<sup>2</sup>, the average weight exceeded 5,000 t). Meanwhile, SBAS-InSAR technology and Sentinel data were employed to obtain the land subsidence situation in Shanghai from 2015 to 2022(The average subsidence rate ranged from -18.25∼12.19 mm/y, the cumulative subsidence range was -128.71∼79.10 mm). Subsequently, the relationship between urban land subsidence and four building load indicators (building weight, building floor, building volume, and building density) at multi-scale (pixel, building, block, and grid) and multi-subsidence levels (all areas, subsidence area, and severe subsidence area) were revealed. The main findings could be demonstrated as follows: <strong>(1)</strong> the correlation between building weight and land subsidence was more significant than other building load indicator(-0.22∼-0.15 versus -0.20∼-0.02 at block scale); <strong>(2)</strong> in areas where subsidence has already occurred, places with heavy building weight would be more likely to aggravate subsidence(-0.22∼-0.04 versus 0.05∼0.07 at block scale); <strong>(3)</strong> the relationship between building loads and land subsidence in various scales were significantly different, the negative impact of building loads on ground subsidence would be more pronounced on a large scale(-0.22∼-0.15 at block scale versus -0.12∼-0.01 at pixel and building scale); <strong>(4)</strong> the construction loads of residential buildings would be more likely to cause land subsidence than other building types(-0.15∼-0.09 versus -0.02∼-0.01 at building scale). Our proposed framework can conducive to a more targeted selection of research scale, indicator system, and monitoring scope for coastal urban land subsidence research in the future. It would also be of great significance to the geological risk management and
{"title":"Multi-scale assessment of the relationship between building weight and urban land subsidence: A case study of Shanghai","authors":"Kexuan Wu, Xiaoxiao Niu, Hailun Zhu, Penghan Li, Baiyu Dong, Zhangquan Shen, Ke Wang","doi":"10.1016/j.rcradv.2026.200312","DOIUrl":"10.1016/j.rcradv.2026.200312","url":null,"abstract":"<div><div>Land subsidence in coastal cities may increase the risk of being submerged, and building load is one of the important causes of urban land subsidence. Considering the rapid urbanization of China, it is increasingly urgent to examine the impact of the growing building load on urban land subsidence in coastal cities of China. At present, few studies have introduced building weight as an indicator to characterize building loads, and there is a lack of large-area and multi-scale research on the relationship between land subsidence and building loads. On such a basis, this study raised a 10 m resolution urban building weight estimation method, and proposed a multi-scale, multi-index, and multi-subsidence-level investigation framework for the relationship between urban land subsidence and building load. Specifically, XGBoost model was applied on Sentinel images and OSM data to estimate the building floors in Shanghai; Then, building material intensity factors and building type vectors were introduced and combined with the estimated building floors to calculate building weight(The total weight was 2.12×10<sup>9</sup> t, the weight per unit area was 1.46×10<sup>6</sup> t/km<sup>2</sup>, the average weight exceeded 5,000 t). Meanwhile, SBAS-InSAR technology and Sentinel data were employed to obtain the land subsidence situation in Shanghai from 2015 to 2022(The average subsidence rate ranged from -18.25∼12.19 mm/y, the cumulative subsidence range was -128.71∼79.10 mm). Subsequently, the relationship between urban land subsidence and four building load indicators (building weight, building floor, building volume, and building density) at multi-scale (pixel, building, block, and grid) and multi-subsidence levels (all areas, subsidence area, and severe subsidence area) were revealed. The main findings could be demonstrated as follows: <strong>(1)</strong> the correlation between building weight and land subsidence was more significant than other building load indicator(-0.22∼-0.15 versus -0.20∼-0.02 at block scale); <strong>(2)</strong> in areas where subsidence has already occurred, places with heavy building weight would be more likely to aggravate subsidence(-0.22∼-0.04 versus 0.05∼0.07 at block scale); <strong>(3)</strong> the relationship between building loads and land subsidence in various scales were significantly different, the negative impact of building loads on ground subsidence would be more pronounced on a large scale(-0.22∼-0.15 at block scale versus -0.12∼-0.01 at pixel and building scale); <strong>(4)</strong> the construction loads of residential buildings would be more likely to cause land subsidence than other building types(-0.15∼-0.09 versus -0.02∼-0.01 at building scale). Our proposed framework can conducive to a more targeted selection of research scale, indicator system, and monitoring scope for coastal urban land subsidence research in the future. It would also be of great significance to the geological risk management and","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"29 ","pages":"Article 200312"},"PeriodicalIF":6.4,"publicationDate":"2026-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924756","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}
The co-combustion of biomass and solid recovered fuel generates substantial quantities of bottom ash (BA), and safe value-added utilization in construction remains insufficiently explored. This study evaluates the feasibility of using co-combustion bottom ash (CCBA) as a fine aggregate replacement in concrete through comprehensive mechanical, durability, and environmental assessments supported by pilot-scale validation. Concrete mixtures with 0 %, 50 %, and 100 % CCBA were studied as replacement of natural sand. Incorporating CCBA improved mechanical performance, with a maximum 10.48 % increase in 28-day compressive strength of concrete compared to the natural-sand reference. Durability assessment demonstrated excellent resistance to sulfuric acid (5 % sulfuric acid solution immersion) with only a 9.7 % strength loss at 100 % BA replacement, and strength gains of up to 21.3 % after sulfate-chloride exposure. Concrete samples also showed strong freeze-thaw resistance, reduced sorptivity with BA content, and improved microstructural densification supported by EIS analysis. Leaching tests confirmed effective immobilization of toxic metals within the cementitious matrix, meeting Finnish environmental regulations without ash pre-treatment. Pilot-scale production of 10 tons of concrete barrier blocks further validated the field performance, showing no visible damage after exposure to harsh Nordic climatic conditions. The results demonstrate that CCBA is a technically viable, environmentally safe, and sustainable alternative to natural sand for large-scale concrete production.
{"title":"Cleaner utilization of co-combustion bottom ash in concrete: Pilot-scale validation for sustainable construction","authors":"Suman Kumar Adhikary , Teemu Turpeinen , Anshumali Mishra , Nikhil Rathod , Adeolu Adediran , Tero Luukkonen , Priyadharshini Perumal","doi":"10.1016/j.rcradv.2025.200311","DOIUrl":"10.1016/j.rcradv.2025.200311","url":null,"abstract":"<div><div>The co-combustion of biomass and solid recovered fuel generates substantial quantities of bottom ash (BA), and safe value-added utilization in construction remains insufficiently explored. This study evaluates the feasibility of using co-combustion bottom ash (CCBA) as a fine aggregate replacement in concrete through comprehensive mechanical, durability, and environmental assessments supported by pilot-scale validation. Concrete mixtures with 0 %, 50 %, and 100 % CCBA were studied as replacement of natural sand. Incorporating CCBA improved mechanical performance, with a maximum 10.48 % increase in 28-day compressive strength of concrete compared to the natural-sand reference. Durability assessment demonstrated excellent resistance to sulfuric acid (5 % sulfuric acid solution immersion) with only a 9.7 % strength loss at 100 % BA replacement, and strength gains of up to 21.3 % after sulfate-chloride exposure. Concrete samples also showed strong freeze-thaw resistance, reduced sorptivity with BA content, and improved microstructural densification supported by EIS analysis. Leaching tests confirmed effective immobilization of toxic metals within the cementitious matrix, meeting Finnish environmental regulations without ash pre-treatment. Pilot-scale production of 10 tons of concrete barrier blocks further validated the field performance, showing no visible damage after exposure to harsh Nordic climatic conditions. The results demonstrate that CCBA is a technically viable, environmentally safe, and sustainable alternative to natural sand for large-scale concrete production.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"29 ","pages":"Article 200311"},"PeriodicalIF":6.4,"publicationDate":"2025-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924761","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}
Pub Date : 2025-12-26DOI: 10.1016/j.rcradv.2025.200310
Róbert Fejes, Róbert Kurdi, Viktor Sebestyén
Understanding the generation patterns of municipal solid waste and adapting to it is one of the most urgent problems of the decade, which requires meaningful answers in order to establish sustainable and resilient waste management infrastructures. The purpose of this literature review is to systematize the models and approaches that are suitable for predicting the amount of municipal solid waste (MSW). Based on systematically explored literature analysis (used Scopus database in 2023) methodologies, a recommendation framework is developed to underpin the design of municipal solid waste management systems by recording possible models and proxy variables in addition to presenting their advantages and limitations based on the 78 papers that met the selection criteria. The proposed framework identifies possible model structures according to the municipal solid waste management analysis task and data availability, which fills the gap and lays the foundations for data-based decision support in goal-oriented municipal solid waste management. A total of 36 AI-driven models are explored and catalogued using 455 proxy variables. Depending on the number of observations and the set of available proxy variables, a model structure framework is provided, based on which the identification of models can be optimized for the completion of goal-oriented municipal solid waste predicting tasks. This literature review provides a basis for meeting the goal-oriented MSW modeling tasks at a higher level, as it also proposes a model catalog, data inventory and model structures, and discusses how to address the challenges that may arise for the models. It is the first research to distinguish modeling issues of interest to industry professionals and academics, thereby providing guiding results for the entire municipal solid waste management sector.
{"title":"Model structures and approaches for municipal solid waste prediction – A review","authors":"Róbert Fejes, Róbert Kurdi, Viktor Sebestyén","doi":"10.1016/j.rcradv.2025.200310","DOIUrl":"10.1016/j.rcradv.2025.200310","url":null,"abstract":"<div><div>Understanding the generation patterns of municipal solid waste and adapting to it is one of the most urgent problems of the decade, which requires meaningful answers in order to establish sustainable and resilient waste management infrastructures. The purpose of this literature review is to systematize the models and approaches that are suitable for predicting the amount of municipal solid waste (MSW). Based on systematically explored literature analysis (used Scopus database in 2023) methodologies, a recommendation framework is developed to underpin the design of municipal solid waste management systems by recording possible models and proxy variables in addition to presenting their advantages and limitations based on the 78 papers that met the selection criteria. The proposed framework identifies possible model structures according to the municipal solid waste management analysis task and data availability, which fills the gap and lays the foundations for data-based decision support in goal-oriented municipal solid waste management. A total of 36 AI-driven models are explored and catalogued using 455 proxy variables. Depending on the number of observations and the set of available proxy variables, a model structure framework is provided, based on which the identification of models can be optimized for the completion of goal-oriented municipal solid waste predicting tasks. This literature review provides a basis for meeting the goal-oriented MSW modeling tasks at a higher level, as it also proposes a model catalog, data inventory and model structures, and discusses how to address the challenges that may arise for the models. It is the first research to distinguish modeling issues of interest to industry professionals and academics, thereby providing guiding results for the entire municipal solid waste management sector.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"29 ","pages":"Article 200310"},"PeriodicalIF":6.4,"publicationDate":"2025-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146037508","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}
Pub Date : 2025-12-19DOI: 10.1016/j.rcradv.2025.200306
Luis Izquierdo-Horna, Jose Zevallos, Mariana Angulo
Urban areas in the Global South continue to face persistent municipal solid waste (MSW) management challenges driven by rapid urbanization, informal disposal practices, and limited monitoring capacity. This study assesses the operational feasibility of integrating unmanned aerial vehicle (UAV) imagery with YOLOv7 object detection to identify improperly discarded plastic bags in public spaces across Metropolitan Lima, Peru. A total of 370 high-resolution aerial images from three districts were processed to detect black, yellow, and white bags, representative of local disposal behaviors. The model achieved a recall of 33 %, precision of 34 %, and a mean average precision ([email protected]) of 21.3 % at an operational point corresponding to a confidence threshold of 0.24, reflecting the challenges posed by data scarcity and high visual heterogeneity in the urban environment. Although performance was constrained by class imbalance and low inter-class contrast, detections remained adaptable to diverse urban conditions through threshold tuning. UAV-based detection provides spatially explicit data to prioritize cleanup operations, verify citizen reports, and optimize waste collection routes. This proof of concept demonstrates that UAV-assisted monitoring can complement municipal records and support incremental improvements in sanitation logistics within resource-limited urban contexts.
{"title":"Strategic monitoring of improperly disposed urban waste using UAV imagery and object detection","authors":"Luis Izquierdo-Horna, Jose Zevallos, Mariana Angulo","doi":"10.1016/j.rcradv.2025.200306","DOIUrl":"10.1016/j.rcradv.2025.200306","url":null,"abstract":"<div><div>Urban areas in the Global South continue to face persistent municipal solid waste (MSW) management challenges driven by rapid urbanization, informal disposal practices, and limited monitoring capacity. This study assesses the operational feasibility of integrating unmanned aerial vehicle (UAV) imagery with YOLOv7 object detection to identify improperly discarded plastic bags in public spaces across Metropolitan Lima, Peru. A total of 370 high-resolution aerial images from three districts were processed to detect black, yellow, and white bags, representative of local disposal behaviors. The model achieved a recall of 33 %, precision of 34 %, and a mean average precision ([email protected]) of 21.3 % at an operational point corresponding to a confidence threshold of 0.24, reflecting the challenges posed by data scarcity and high visual heterogeneity in the urban environment. Although performance was constrained by class imbalance and low inter-class contrast, detections remained adaptable to diverse urban conditions through threshold tuning. UAV-based detection provides spatially explicit data to prioritize cleanup operations, verify citizen reports, and optimize waste collection routes. This proof of concept demonstrates that UAV-assisted monitoring can complement municipal records and support incremental improvements in sanitation logistics within resource-limited urban contexts.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"29 ","pages":"Article 200306"},"PeriodicalIF":6.4,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145977028","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}
Pub Date : 2025-12-19DOI: 10.1016/j.rcradv.2025.200309
Yun Ji , Jijun Meng , Ziyan Han
The arid regions of Northwest China, as ecologically fragile areas, face significant challenges to urban development and ecological conservation due to water resource limitations. A robust ecological security pattern (ESP) is crucial for sustainable urban growth, yet existing studies often overlook water resource constraints, leaving the varying impacts of these constraints on ESP effectiveness unclear. This study constructed urban ESPs for Zhangye City under different water-constrained scenarios. Results indicate that water constraints enhance ESP performance with diminishing returns; ecological corridors and networks show an inverted U-shaped trend, where corridor length, robustness, connectivity, and efficiency peak under medium constraints. Based on these findings, the study develops an optimal urban ESP under medium water constraints. Policy implications include moderate water management, urban park enhancement, and improved connectivity in southeastern areas via green spaces. This framework supports Zhangye’s sustainable development and is transferable to other arid cities.
{"title":"Construction of ecological security patterns in arid-region cities under water resource constraints","authors":"Yun Ji , Jijun Meng , Ziyan Han","doi":"10.1016/j.rcradv.2025.200309","DOIUrl":"10.1016/j.rcradv.2025.200309","url":null,"abstract":"<div><div>The arid regions of Northwest China, as ecologically fragile areas, face significant challenges to urban development and ecological conservation due to water resource limitations. A robust ecological security pattern (ESP) is crucial for sustainable urban growth, yet existing studies often overlook water resource constraints, leaving the varying impacts of these constraints on ESP effectiveness unclear. This study constructed urban ESPs for Zhangye City under different water-constrained scenarios. Results indicate that water constraints enhance ESP performance with diminishing returns; ecological corridors and networks show an inverted U-shaped trend, where corridor length, robustness, connectivity, and efficiency peak under medium constraints. Based on these findings, the study develops an optimal urban ESP under medium water constraints. Policy implications include moderate water management, urban park enhancement, and improved connectivity in southeastern areas via green spaces. This framework supports Zhangye’s sustainable development and is transferable to other arid cities.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"29 ","pages":"Article 200309"},"PeriodicalIF":6.4,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924758","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}
Pub Date : 2025-12-19DOI: 10.1016/j.rcradv.2025.200307
Keshav Sekhri (Student) , Namitha Sudan (Doctoral Research Scholar) , Neetu Gopakumar (Doctoral Research Scholar) , Krishna Prapoorna Biligiri (Professor)
The major objective of this study was to assess the correlations of environmental impact indicators along with fundamental consistency and rheological performance of asphalt-rubber binders through multi-objective optimization of crumb rubber (CR) dosages by adopting the lifecycle assessment (LCA) approach. The scope of the effort included: (i) preparation of modified asphalt binder with three CR dosages: 10, 15, and 20% by weight of the base virgin asphalt binder, (ii) fundamental consistency tests to assess the performance of virgin and CR-modified asphalt binder blends, (iii) lifecycle inventory analysis from raw material extraction to the production of CR-modified asphalt binders, (iv) LCA of virgin and CR-modified asphalt binder blends, (v) correlation analysis of CR contents and the corresponding environmental and performance parameters, and (vi) multi-objective optimization of CR dosage to balance the performance enhancement with environmental sustainability. A reinforcement learning approach was implemented in optimizing the CR content in asphalt binder blends by balancing the environmental sustainability and performance objective, which revealed that the asphalt binder blend incorporated with 20% CR demonstrated a favorable balance between the mechanical performance and environmental impacts. It is envisioned that the framework developed in this study will support the strategic reuse of end-of-life tires in high-performance low-carbon pavement systems while also advancing the long-term goals of resource circularity in the context of sustainable infrastructure.
{"title":"Balancing performance and environmental impacts of crumb rubber-modified asphalt binders using a multi-objective lifecycle optimization process","authors":"Keshav Sekhri (Student) , Namitha Sudan (Doctoral Research Scholar) , Neetu Gopakumar (Doctoral Research Scholar) , Krishna Prapoorna Biligiri (Professor)","doi":"10.1016/j.rcradv.2025.200307","DOIUrl":"10.1016/j.rcradv.2025.200307","url":null,"abstract":"<div><div>The major objective of this study was to assess the correlations of environmental impact indicators along with fundamental consistency and rheological performance of asphalt-rubber binders through multi-objective optimization of crumb rubber (CR) dosages by adopting the lifecycle assessment (LCA) approach. The scope of the effort included: (i) preparation of modified asphalt binder with three CR dosages: 10, 15, and 20% by weight of the base virgin asphalt binder, (ii) fundamental consistency tests to assess the performance of virgin and CR-modified asphalt binder blends, (iii) lifecycle inventory analysis from raw material extraction to the production of CR-modified asphalt binders, (iv) LCA of virgin and CR-modified asphalt binder blends, (v) correlation analysis of CR contents and the corresponding environmental and performance parameters, and (vi) multi-objective optimization of CR dosage to balance the performance enhancement with environmental sustainability. A reinforcement learning approach was implemented in optimizing the CR content in asphalt binder blends by balancing the environmental sustainability and performance objective, which revealed that the asphalt binder blend incorporated with 20% CR demonstrated a favorable balance between the mechanical performance and environmental impacts. It is envisioned that the framework developed in this study will support the strategic reuse of end-of-life tires in high-performance low-carbon pavement systems while also advancing the long-term goals of resource circularity in the context of sustainable infrastructure.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"29 ","pages":"Article 200307"},"PeriodicalIF":6.4,"publicationDate":"2025-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924760","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}
Pub Date : 2025-12-16DOI: 10.1016/j.rcradv.2025.200305
Joan Sanchez-Matos, Álvaro Elorrieta-Mendoza, Ramzy Kahhat, Ian Vázquez-Rowe
Food consumption has shown to represent an important fraction of GHG emissions in most countries worldwide. However, food consumption behavior is highly heterogeneous and depends on numerous variables, including affordability and availability of different food categories and products. The main objective of the current study was to analyze changes in GHG emissions linked to Peruvian dietary patterns and analyze their geographical and temporal variability, using household survey data for the period 2008–2022. From a methodological standpoint, the model estimated apparent household food consumption, as well as food away from home, food obtained from charities, and food loss and waste quantification, to provide an in-depth depiction of Peruvian diets. Diets were then estimated based on geographical location, socioeconomic groups, and the Peruvian average diet. Results show that GHG emissions have remained stable during the period analyzed (1126 kg CO2eq/person/year on average), with a peak attained in 2014 (1236 kg CO2eq/person/year) after years of economic growth and substantial decreases in the poverty rate. Thereafter, carbon emissions have dwindled based on increasing poverty levels, and a gradual substitution of beef for chicken meat, although heterogeneous patterns can be observed among regions. It was estimated that by 2022 an additional 1401 kt CO2eq per year would be emitted to guarantee that those living in poverty or extreme poverty conditions reach daily minimum caloric requirements. The uncertainty of the results, a comparison of these to those of other countries around the world, and potential improvement actions to attain healthier low carbon emission diets are also discussed.
在世界上大多数国家，粮食消费占温室气体排放的重要部分。然而，食品消费行为是高度异质性的，取决于许多变量，包括不同食品类别和产品的可负担性和可获得性。本研究的主要目的是利用2008-2022年家庭调查数据，分析与秘鲁饮食模式相关的温室气体排放变化，并分析其地理和时间变异性。从方法的角度来看，该模型估计了明显的家庭粮食消费，以及离家食物、从慈善机构获得的食物、粮食损失和浪费的量化，以提供对秘鲁饮食的深入描述。然后根据地理位置、社会经济群体和秘鲁的平均饮食来估计饮食。结果表明，在分析期间，温室气体排放量保持稳定（平均1126 kg CO2eq/人/年），经过多年的经济增长和贫困率大幅下降，在2014年达到峰值（1236 kg CO2eq/人/年）。此后，随着贫困水平的提高，以及牛肉逐渐取代鸡肉，碳排放量有所减少，尽管在不同地区之间可以观察到不同的模式。据估计，到2022年，每年将额外排放1401千吨二氧化碳当量，以保证生活在贫困或极端贫困条件下的人达到每日最低热量需求。结果的不确定性，与世界其他国家的比较，以及实现更健康的低碳排放饮食的潜在改进行动也进行了讨论。
{"title":"Greenhouse gas emissions related to Peruvian dietary patterns based on the national household survey in the period 2008–2022","authors":"Joan Sanchez-Matos, Álvaro Elorrieta-Mendoza, Ramzy Kahhat, Ian Vázquez-Rowe","doi":"10.1016/j.rcradv.2025.200305","DOIUrl":"10.1016/j.rcradv.2025.200305","url":null,"abstract":"<div><div>Food consumption has shown to represent an important fraction of GHG emissions in most countries worldwide. However, food consumption behavior is highly heterogeneous and depends on numerous variables, including affordability and availability of different food categories and products. The main objective of the current study was to analyze changes in GHG emissions linked to Peruvian dietary patterns and analyze their geographical and temporal variability, using household survey data for the period 2008–2022. From a methodological standpoint, the model estimated apparent household food consumption, as well as food away from home, food obtained from charities, and food loss and waste quantification, to provide an in-depth depiction of Peruvian diets. Diets were then estimated based on geographical location, socioeconomic groups, and the Peruvian average diet. Results show that GHG emissions have remained stable during the period analyzed (1126 kg CO<sub>2</sub>eq/person/year on average), with a peak attained in 2014 (1236 kg CO<sub>2</sub>eq/person/year) after years of economic growth and substantial decreases in the poverty rate. Thereafter, carbon emissions have dwindled based on increasing poverty levels, and a gradual substitution of beef for chicken meat, although heterogeneous patterns can be observed among regions. It was estimated that by 2022 an additional 1401 kt CO<sub>2</sub>eq per year would be emitted to guarantee that those living in poverty or extreme poverty conditions reach daily minimum caloric requirements. The uncertainty of the results, a comparison of these to those of other countries around the world, and potential improvement actions to attain healthier low carbon emission diets are also discussed.</div></div>","PeriodicalId":74689,"journal":{"name":"Resources, conservation & recycling advances","volume":"29 ","pages":"Article 200305"},"PeriodicalIF":6.4,"publicationDate":"2025-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145924759","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}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号