End-of-life (EoL) management of lithium-ion batteries (LIBs) presents significant environmental and safety challenges. We estimated Japan’s EoL portable LIB generation and assessed the effectiveness of its collection systems. A survey of 33 electrical and electronic equipment categories found that 82 % of them contained LIBs, with many incorporating built-in batteries, leading to disposal in inappropriate waste streams. In 2020, approximately 8160 tonnes of EoL LIBs were generated, with six key categories—smartphones, laptops, tablets, cordless vacuum cleaners, power banks, and motor-assisted bicycles. Although Japan’s official collection schemes cover 77 % of EoL generation, only 14 % is actually collected. Possible paths for the rest 86 % include disposal in municipal solid waste, export with secondhand products, and untracked collections from businesses. Even considering these, however, the destination of nearly 40 % of EoL LIBs remains unknown, highlighting the need to identify remaining flows to enhance collection frameworks that ensure sustainable resource management and safe disposal.
{"title":"End-of-life portable lithium-ion batteries in Japan: Generation, collection system effectiveness, and unidentified flows","authors":"Masahiro Oguchi , Atsushi Terazono , Kazuo Hasunuma","doi":"10.1016/j.resconrec.2025.108754","DOIUrl":"10.1016/j.resconrec.2025.108754","url":null,"abstract":"<div><div>End-of-life (EoL) management of lithium-ion batteries (LIBs) presents significant environmental and safety challenges. We estimated Japan’s EoL portable LIB generation and assessed the effectiveness of its collection systems. A survey of 33 electrical and electronic equipment categories found that 82 % of them contained LIBs, with many incorporating built-in batteries, leading to disposal in inappropriate waste streams. In 2020, approximately 8160 tonnes of EoL LIBs were generated, with six key categories—smartphones, laptops, tablets, cordless vacuum cleaners, power banks, and motor-assisted bicycles. Although Japan’s official collection schemes cover 77 % of EoL generation, only 14 % is actually collected. Possible paths for the rest 86 % include disposal in municipal solid waste, export with secondhand products, and untracked collections from businesses. Even considering these, however, the destination of nearly 40 % of EoL LIBs remains unknown, highlighting the need to identify remaining flows to enhance collection frameworks that ensure sustainable resource management and safe disposal.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108754"},"PeriodicalIF":10.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145839904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
High-resolution spatiotemporal column-averaged CO2 (XCO2) data is essential for understanding anthropogenic carbon emissions, but current satellite limitations hinder detailed analysis. To address this, we develop the Spatial-Temporal Attention XCO2 Network (STAXN) to improve prediction accuracy by capturing spatial-temporal variability and multiscale influences of auxiliary variables. Monte Carlo validation demonstrates robust performance, with an RMSE of 0.90 ppm and an R² of 0.97. Using this model, we generate a 1-km resolution daily XCO2 dataset for China (2015–2020) and analyze XCO2 anomaly patterns. Seasonal XCO2 anomalies peak in summer and winter, with nighttime light exhibiting strong positive effects (β = 0.134, 0.107), and GPP exerting the most substantial adverse influence in winter (β = −0.200). The centroid trajectories of XCO2 anomalies exhibit consistent seasonal shifts, shaped by regional disparities in carbon efficiency, industrial structure, and emission intensity. These findings offer valuable insights into China’s carbon emission dynamics, informing policy and management strategies.
{"title":"Mapping daily 1-km resolution XCO2 in China using deep learning and multi-source data","authors":"Wei Shao , Tianxiang Yue , Lili Zhang , Wenjie Tian , Hao Wang , Haowei Zhou , Chenchen Wu , Liqiang Zhang","doi":"10.1016/j.resconrec.2025.108755","DOIUrl":"10.1016/j.resconrec.2025.108755","url":null,"abstract":"<div><div>High-resolution spatiotemporal column-averaged CO<sub>2</sub> (XCO<sub>2</sub>) data is essential for understanding anthropogenic carbon emissions, but current satellite limitations hinder detailed analysis. To address this, we develop the Spatial-Temporal Attention XCO<sub>2</sub> Network (STAXN) to improve prediction accuracy by capturing spatial-temporal variability and multiscale influences of auxiliary variables. Monte Carlo validation demonstrates robust performance, with an RMSE of 0.90 ppm and an R² of 0.97. Using this model, we generate a 1-km resolution daily XCO<sub>2</sub> dataset for China (2015–2020) and analyze XCO<sub>2</sub> anomaly patterns. Seasonal XCO<sub>2</sub> anomalies peak in summer and winter, with nighttime light exhibiting strong positive effects (β = 0.134, 0.107), and GPP exerting the most substantial adverse influence in winter (β = −0.200). The centroid trajectories of XCO<sub>2</sub> anomalies exhibit consistent seasonal shifts, shaped by regional disparities in carbon efficiency, industrial structure, and emission intensity. These findings offer valuable insights into China’s carbon emission dynamics, informing policy and management strategies.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108755"},"PeriodicalIF":10.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145813867","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-11-30DOI: 10.1016/j.resconrec.2025.108684
John D. Atkinson , Thomas Elliot , Mitchell P. Jones , Julian Kirchherr , Ana T. Lima , Mugur Schuppler , Dominik Wiedenhofer
{"title":"Circular metrics as instruments for quantifying sustainability","authors":"John D. Atkinson , Thomas Elliot , Mitchell P. Jones , Julian Kirchherr , Ana T. Lima , Mugur Schuppler , Dominik Wiedenhofer","doi":"10.1016/j.resconrec.2025.108684","DOIUrl":"10.1016/j.resconrec.2025.108684","url":null,"abstract":"","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108684"},"PeriodicalIF":10.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145651127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-12-02DOI: 10.1016/j.resconrec.2025.108715
Huanyu Wang , Qiang Yue , Huimin Chang , Xiang Fu , Wei Ji , Changqing Xu , Heming Wang
The transparency, standardization, and comparability of LCA data remain global challenges for quantifying and reducing the carbon footprint of the steel industry. To address these issues, the transparent and standardized Tiangong Steel Datasets provide development framework for China’s steel sector. The datasets were compiled through a systematic process involving comprehensive literature review, snowball sampling, expert validation, and data extraction. They provide process-level information on energy use, material inputs, and emissions across three major steelmaking routes: BF-BOF, DRI-EAF, and Scrap-EAF. Each dataset includes explicit definitions of system boundary, functional unit, allocation rule, and temporal-spatial coverage, ensuring methodological consistency. Statistical and correlation analyses reveal the relationships between raw material consumption and CO2 emissions, highlighting key emission drivers and efficiency gaps among production routes. By unifying modeling boundaries and calculation methods, the datasets improve the credibility and international comparability of product carbon footprint, support integration with carbon trading and export compliance, and provide a foundation for China’s low-carbon steel transition.
{"title":"Toward a standardized and comparable life cycle dataset system for steel production in China","authors":"Huanyu Wang , Qiang Yue , Huimin Chang , Xiang Fu , Wei Ji , Changqing Xu , Heming Wang","doi":"10.1016/j.resconrec.2025.108715","DOIUrl":"10.1016/j.resconrec.2025.108715","url":null,"abstract":"<div><div>The transparency, standardization, and comparability of LCA data remain global challenges for quantifying and reducing the carbon footprint of the steel industry. To address these issues, the transparent and standardized Tiangong Steel Datasets provide development framework for China’s steel sector. The datasets were compiled through a systematic process involving comprehensive literature review, snowball sampling, expert validation, and data extraction. They provide process-level information on energy use, material inputs, and emissions across three major steelmaking routes: BF-BOF, DRI-EAF, and Scrap-EAF. Each dataset includes explicit definitions of system boundary, functional unit, allocation rule, and temporal-spatial coverage, ensuring methodological consistency. Statistical and correlation analyses reveal the relationships between raw material consumption and CO<sub>2</sub> emissions, highlighting key emission drivers and efficiency gaps among production routes. By unifying modeling boundaries and calculation methods, the datasets improve the credibility and international comparability of product carbon footprint, support integration with carbon trading and export compliance, and provide a foundation for China’s low-carbon steel transition.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108715"},"PeriodicalIF":10.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145657893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-12-01DOI: 10.1016/j.resconrec.2025.108706
Longxing Liu , Mengquan Wu , Gang Chen , Yijie Tang , Xiaodong Song , Min Zou , Yandong Xu , Xin Zhang , Shikuan Wang , Jinyi Lv , Longxiao Zheng
An accurate understanding of the dynamic distribution of offshore wind turbines (OWTs) is essential for effective offshore wind planning and management. However, existing methods often fail to adequately consider or utilize the multidimensional characteristics of OWTs, which limits their accuracy and efficiency. In this study, a knowledge-guided strategy is employed to optimize OWT detection. By analyzing the physical, spatial, and geometric properties of OWTs, we propose a novel knowledge-guided framework that integrates deep learning and satellite imagery to achieve accurate and efficient generation of long-term OWT products. The framework achieved an average F1-score of 99.43 % in multi-temporal tests, overcoming the need for extensive post-processing. We further revealed the spatiotemporal patterns of OWTs in China across multiple perspectives and scales from 2015 to 2023, and explored the influences of policies and meteorological-geographical factors to inform future site selection. These findings provide valuable insights for the sustainable development of offshore wind power.
{"title":"Satellite observations and deep learning unveil the rapid expansion of offshore wind turbines in China","authors":"Longxing Liu , Mengquan Wu , Gang Chen , Yijie Tang , Xiaodong Song , Min Zou , Yandong Xu , Xin Zhang , Shikuan Wang , Jinyi Lv , Longxiao Zheng","doi":"10.1016/j.resconrec.2025.108706","DOIUrl":"10.1016/j.resconrec.2025.108706","url":null,"abstract":"<div><div>An accurate understanding of the dynamic distribution of offshore wind turbines (OWTs) is essential for effective offshore wind planning and management. However, existing methods often fail to adequately consider or utilize the multidimensional characteristics of OWTs, which limits their accuracy and efficiency. In this study, a knowledge-guided strategy is employed to optimize OWT detection. By analyzing the physical, spatial, and geometric properties of OWTs, we propose a novel knowledge-guided framework that integrates deep learning and satellite imagery to achieve accurate and efficient generation of long-term OWT products. The framework achieved an average F1-score of 99.43 % in multi-temporal tests, overcoming the need for extensive post-processing. We further revealed the spatiotemporal patterns of OWTs in China across multiple perspectives and scales from 2015 to 2023, and explored the influences of policies and meteorological-geographical factors to inform future site selection. These findings provide valuable insights for the sustainable development of offshore wind power.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108706"},"PeriodicalIF":10.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145658105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-08DOI: 10.1016/j.resconrec.2026.108783
Zhi Gao , Ruitao You , Kecheng Pan , Qingsheng Huang , Zhenzhen Xu , Long-Shuai Zhang , Jian-Ping Zou
Herein, we show a bioinspired nitrogen-rich covalent organic framework (COFTGTp) with high acid stability and excellent radiation resistance in simulated high-level liquid waste (HLLW). It exhibits the intriguing local self-adaptive behavior to precisely recognize Pd2+ in 3 M HNO3, achieving a high adsorption capacity (317.4 mg g-1) and >99.98% recovery efficiency. Importantly, even in 17 competing ions, the COFTGTp still shows the remarkable Pd2+ selectivity and outstanding Kd value. EXAFS results disclose that the Pd2+ confined in COFTGTp interlayer displays the unsymmetrical Pd-N2 single-site pattern. Noticeably, the Pd2+-confined COFTGTp obtained from HLLW effectively drives O2-to-H2O2 photosynthesis (3002 µmol g-1 h-1). The mechanism studies confirm that the unsymmetrical Pd-N2 site favors the formation of key *HOOH intermediate. The recovery of Pd from HLLW to make a photocatalyst is proposed for the first time, which may stimulate the research into the design of novel COFs to upcycle metal waste into functional, catalytic materials.
在此,我们在模拟高放废液(HLLW)中展示了一种具有高酸稳定性和优异耐辐射性的富氮共价有机骨架(COFTGTp)。在3 M HNO3中精确识别Pd2+,具有良好的局部自适应行为,吸附量高达317.4 mg g-1,回收率高达99.98%。重要的是,即使在17个竞争离子中,COFTGTp仍然表现出显著的Pd2+选择性和出色的Kd值。EXAFS结果表明,限制在COFTGTp层中的Pd2+表现出不对称的Pd-N2单位点模式。值得注意的是,从HLLW中获得的Pd2+限制性COFTGTp有效地驱动了o2 - h2o2的光合作用(3002µmol g-1 h-1)。机理研究证实,Pd-N2位点的不对称有利于关键*HOOH中间体的形成。本文首次提出了从高废渣中回收Pd制备光催化剂的方法,这可能会激发新型COFs的设计研究,从而将金属废物升级为功能催化材料。
{"title":"Recycling high-level liquid waste into covalent organic framework confined unsymmetrical single Pd-N2 site toward H2O2 photosynthesis","authors":"Zhi Gao , Ruitao You , Kecheng Pan , Qingsheng Huang , Zhenzhen Xu , Long-Shuai Zhang , Jian-Ping Zou","doi":"10.1016/j.resconrec.2026.108783","DOIUrl":"10.1016/j.resconrec.2026.108783","url":null,"abstract":"<div><div>Herein, we show a bioinspired nitrogen-rich covalent organic framework (COF<sub>TGTp</sub>) with high acid stability and excellent radiation resistance in simulated high-level liquid waste (HLLW). It exhibits the intriguing local self-adaptive behavior to precisely recognize Pd<sup>2+</sup> in 3 M HNO<sub>3</sub>, achieving a high adsorption capacity (317.4 mg g<sup>-1</sup>) and >99.98% recovery efficiency. Importantly, even in 17 competing ions, the COF<sub>TGTp</sub> still shows the remarkable Pd<sup>2+</sup> selectivity and outstanding <em>K</em><sub>d</sub> value. EXAFS results disclose that the Pd<sup>2+</sup> confined in COF<sub>TGTp</sub> interlayer displays the unsymmetrical Pd-N<sub>2</sub> single-site pattern. Noticeably, the Pd<sup>2+</sup>-confined COF<sub>TGTp</sub> obtained from HLLW effectively drives O<sub>2</sub>-to-H<sub>2</sub>O<sub>2</sub> photosynthesis (3002 µmol g<sup>-1</sup> h<sup>-1</sup>). The mechanism studies confirm that the unsymmetrical Pd-N<sub>2</sub> site favors the formation of key *HOOH intermediate. The recovery of Pd from HLLW to make a photocatalyst is proposed for the first time, which may stimulate the research into the design of novel COFs to upcycle metal waste into functional, catalytic materials.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108783"},"PeriodicalIF":10.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145925789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-12-10DOI: 10.1016/j.resconrec.2025.108736
Wenhui Zhao , Rina Su , Pengyu Zou , Yiming Li , Bo Yang , Bin Zhang
Demand-side emission reduction is crucial yet often overlooked due to fragmented policies lacking balance between equity and efficiency. This study proposes a data-driven behavioral nudging framework based on the Equitable Electricity Efficiency (EEE) index, which quantifies household saving potential under social and environmental constraints while preserving welfare. EEE is estimated through a multi-method pipeline combining Meta-Frontier Analysis, ANN-DEA, SFA (Battese-Coelli, 1988), and Three-Stage DEA, identifying inefficiencies, distortions, and fairness-adjusted gaps. Analysis of large-scale Chinese household electricity data shows an average EEE of 70 %, implying a recoverable potential of 26.5 %–31.5 %, equal to 72.12 billion kWh and 5.66 million tons of CO₂ annually. Results reveal nonlinear patterns: middle-income, moderately aware households have the highest untapped efficiency; affluent users respond less; disadvantaged groups face structural barriers. Embedding fairness into nudges offers a scalable, interpretable, and inclusive path for equity-aware demand-side management and just energy transition.
{"title":"Achieving painless energy conservation via equity-oriented efficiency nudge: evidence from electricity consumption in China","authors":"Wenhui Zhao , Rina Su , Pengyu Zou , Yiming Li , Bo Yang , Bin Zhang","doi":"10.1016/j.resconrec.2025.108736","DOIUrl":"10.1016/j.resconrec.2025.108736","url":null,"abstract":"<div><div>Demand-side emission reduction is crucial yet often overlooked due to fragmented policies lacking balance between equity and efficiency. This study proposes a data-driven behavioral nudging framework based on the Equitable Electricity Efficiency (EEE) index, which quantifies household saving potential under social and environmental constraints while preserving welfare. EEE is estimated through a multi-method pipeline combining Meta-Frontier Analysis, ANN-DEA, SFA (Battese-Coelli, 1988), and Three-Stage DEA, identifying inefficiencies, distortions, and fairness-adjusted gaps. Analysis of large-scale Chinese household electricity data shows an average EEE of 70 %, implying a recoverable potential of 26.5 %–31.5 %, equal to 72.12 billion kWh and 5.66 million tons of CO₂ annually. Results reveal nonlinear patterns: middle-income, moderately aware households have the highest untapped efficiency; affluent users respond less; disadvantaged groups face structural barriers. Embedding fairness into nudges offers a scalable, interpretable, and inclusive path for equity-aware demand-side management and just energy transition.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108736"},"PeriodicalIF":10.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145732517","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-12-22DOI: 10.1016/j.resconrec.2025.108759
Zhengxuan Wu , Elena Werner , Daniel Maga , Venkat Aryan , Manfred Renner
Mealworms are a potential alternative protein source, offering the potential to reduce environmental impacts while meeting nutritional demands. The objective of this study was to investigate the environmental impacts of a large-scale mealworm production in Germany as food, incorporating nutritional value into the assessment. To achieve this, a nutritional life cycle assessment (nLCA) was performed considering Nutrition Rich Food index (NRF) with OpenLCA and Environment Footprint 3.1. The findings suggest that mealworms offer environmental advantages over conventional animal-based foods across most assessed impact categories. For instance, when adjusting for nutritional quality with NRF9.3, their climate change impact appears substantially lower than that of animal products, while contributing less to the intake of nutrients to be limited. These results highlight the potential of mealworms as a sustainable alternative to traditional animal-based foods, offering a promising solution to reduce environmental impacts while delivering a balanced and adequate nutrient profile.
{"title":"Nutritional life cycle assessment of mealworm as a potential sustainable protein-rich food","authors":"Zhengxuan Wu , Elena Werner , Daniel Maga , Venkat Aryan , Manfred Renner","doi":"10.1016/j.resconrec.2025.108759","DOIUrl":"10.1016/j.resconrec.2025.108759","url":null,"abstract":"<div><div>Mealworms are a potential alternative protein source, offering the potential to reduce environmental impacts while meeting nutritional demands. The objective of this study was to investigate the environmental impacts of a large-scale mealworm production in Germany as food, incorporating nutritional value into the assessment. To achieve this, a nutritional life cycle assessment (nLCA) was performed considering Nutrition Rich Food index (NRF) with OpenLCA and Environment Footprint 3.1. The findings suggest that mealworms offer environmental advantages over conventional animal-based foods across most assessed impact categories. For instance, when adjusting for nutritional quality with NRF9.3, their climate change impact appears substantially lower than that of animal products, while contributing less to the intake of nutrients to be limited. These results highlight the potential of mealworms as a sustainable alternative to traditional animal-based foods, offering a promising solution to reduce environmental impacts while delivering a balanced and adequate nutrient profile.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108759"},"PeriodicalIF":10.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145813866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2026-01-01DOI: 10.1016/j.resconrec.2025.108762
Qingshen Kong , Yi Xiao , Haonan Yang , Huan Huang
Coal-burning heating in China has long contributed to severe air pollution and high energy consumption. China launched the Northern Clean Heating Policy (CHPP) in 2017 to promote a shift to clean energy for heating. Using a multi-period DID model with panel data from 2014 to 2022, this study assesses the impact of CHPP on carbon emission intensity (CEI) and sulfur dioxide emission intensity (SEI). Results show that CHPP significantly reduces CEI and SEI. Four mediating variables, including total and average levels of government environmental attention and clean energy consumption, play key roles in the effectiveness of the policy. The effect is more notable in cities with higher temperatures, lower resource dependence, lower energy consumption, classification in the second pilot wave, key governance regions, and dispersed spatial layouts. As a sustainable development strategy, CHPP promotes green development through clean heating, providing valuable practical references for global environmental protection and the sustainable energy transition.
{"title":"Clean heating, cleaner cities: The effect of northern winter clean heating policy on carbon emission reduction and pollution reduction in China","authors":"Qingshen Kong , Yi Xiao , Haonan Yang , Huan Huang","doi":"10.1016/j.resconrec.2025.108762","DOIUrl":"10.1016/j.resconrec.2025.108762","url":null,"abstract":"<div><div>Coal-burning heating in China has long contributed to severe air pollution and high energy consumption. China launched the Northern Clean Heating Policy (CHPP) in 2017 to promote a shift to clean energy for heating. Using a multi-period DID model with panel data from 2014 to 2022, this study assesses the impact of CHPP on carbon emission intensity (CEI) and sulfur dioxide emission intensity (SEI). Results show that CHPP significantly reduces CEI and SEI. Four mediating variables, including total and average levels of government environmental attention and clean energy consumption, play key roles in the effectiveness of the policy. The effect is more notable in cities with higher temperatures, lower resource dependence, lower energy consumption, classification in the second pilot wave, key governance regions, and dispersed spatial layouts. As a sustainable development strategy, CHPP promotes green development through clean heating, providing valuable practical references for global environmental protection and the sustainable energy transition.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108762"},"PeriodicalIF":10.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145884085","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-03-01Epub Date: 2025-12-04DOI: 10.1016/j.resconrec.2025.108731
Pan-Long Lv , Qing-Rui Hu , Yu-Yang Hu , Wenjing Gong , Qian Li , Rong Chen
Anaerobic digestion of organic waste generates substantial amounts of dissolved methane (CH4) and nitrogen source, presenting both environmental challenges and opportunities for resource recovery. This study produces single-cell protein (SCP) by utilizing CH4 as carbon sources in a CH4-based membrane biofilm reactor (MBfR). Over 270 days of continuous operation, the reactor achieved highly efficient nitrogen removal and SCP production. Results demonstrated that nitrate was a more effective nitrogen source than ammonia for SCP synthesis, achieving SCP yields of 3.3 g/g N and 1.2 g/g CH4 with protein content exceeding 50%. The addition of acetate alleviated ammonia inhibition, and increased SCP yield to 5.7 g/g N. Metagenomic analysis identified Methylocystis played key roles in methane oxidation and SCP biosynthesis. Life cycle assessment revealed a carbon footprint of 1.25 kg CO2-eq/kg for CH4-based SCP. Using CH4 from waste anaerobic digestate avoided 10.2 kg CO2-eq/kg emissions.
有机废物的厌氧消化产生大量的溶解甲烷(CH4)和氮源,对环境提出了挑战,同时也为资源回收带来了机遇。本研究利用CH4作为碳源,在基于CH4的膜生物膜反应器(MBfR)中生产单细胞蛋白(SCP)。经过270天的连续运行,该反应器实现了高效的脱氮和SCP生产。结果表明,在SCP合成中,硝态氮是比氨更有效的氮源,SCP的产率为3.3 g/g N和1.2 g/g CH4,蛋白质含量超过50%。添加乙酸减轻了氨抑制作用,使SCP产量提高到5.7 g/g n。宏基因组分析发现,甲基藻在甲烷氧化和SCP生物合成中起关键作用。生命周期评估显示,基于ch4的SCP的碳足迹为1.25 kg co2当量/kg。利用厌氧废液中的CH4可避免10.2 kg co2当量/kg的排放。
{"title":"Upcycling anaerobic digestion methane to single-cell protein as a low-carbon strategy","authors":"Pan-Long Lv , Qing-Rui Hu , Yu-Yang Hu , Wenjing Gong , Qian Li , Rong Chen","doi":"10.1016/j.resconrec.2025.108731","DOIUrl":"10.1016/j.resconrec.2025.108731","url":null,"abstract":"<div><div>Anaerobic digestion of organic waste generates substantial amounts of dissolved methane (CH<sub>4</sub>) and nitrogen source, presenting both environmental challenges and opportunities for resource recovery. This study produces single-cell protein (SCP) by utilizing CH<sub>4</sub> as carbon sources in a CH<sub>4</sub>-based membrane biofilm reactor (MBfR). Over 270 days of continuous operation, the reactor achieved highly efficient nitrogen removal and SCP production. Results demonstrated that nitrate was a more effective nitrogen source than ammonia for SCP synthesis, achieving SCP yields of 3.3 g/g N and 1.2 g/g CH<sub>4</sub> with protein content exceeding 50%. The addition of acetate alleviated ammonia inhibition, and increased SCP yield to 5.7 g/g N. Metagenomic analysis identified <em>Methylocystis</em> played key roles in methane oxidation and SCP biosynthesis. Life cycle assessment revealed a carbon footprint of 1.25 kg CO<sub>2</sub>-eq/kg for CH<sub>4</sub>-based SCP. Using CH<sub>4</sub> from waste anaerobic digestate avoided 10.2 kg CO<sub>2</sub>-eq/kg emissions.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"227 ","pages":"Article 108731"},"PeriodicalIF":10.9,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145683381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}