Resources Conservation and Recycling最新文献_第7页

The effect of the Belt and Road Initiative (BRI) on non-CO2 greenhouse gas emission trends in the Southeast Asian countries “一带一路”倡议对东南亚国家非二氧化碳温室气体排放趋势的影响

IF 11.2 1区环境科学与生态学

Resources Conservation and Recycling Pub Date : 2025-05-02 DOI: 10.1016/j.resconrec.2025.108343

Minpeng Chen , Siqi Li , Xun Su , Yichen Feng , Yichun Peng

{"title":"The effect of the Belt and Road Initiative (BRI) on non-CO2 greenhouse gas emission trends in the Southeast Asian countries","authors":"Minpeng Chen , Siqi Li , Xun Su , Yichen Feng , Yichun Peng","doi":"10.1016/j.resconrec.2025.108343","DOIUrl":"10.1016/j.resconrec.2025.108343","url":null,"abstract":"<div><div>Agriculture in Southeast Asia (SEA) plays a crucial role in global food security, while also contributing significantly to greenhouse gas (GHG) emissions. The Belt and Road Initiative (BRI) presents opportunities that may influence agricultural greenhouse gas (Ag-GHG) emissions in the region. Hence, this study investigated the trends and drivers of Ag-GHG emissions in SEA since 1961 and BRI effect on them, using Mann-Kendall tests, Logarithmic Mean Divisia Index decomposition, and panel data models. While regional Ag-GHG emissions plateaued, the national trajectories fell into three categories: past peaks, plateaus, and growing; and countries in the plateau category account for over 90 % of the regional emissions. Since 1961, the key drivers of Ag-GHG emissions have included population growth (+210 %), rising agricultural labor productivity (+175 %), and a moderate increase in emission intensity (+17 %). However, these trends have been offset by gains in agricultural land productivity (-67 %) and the effects of urbanization (-40 %). Panel data models indicate that the BRI has had a statistically significant negative impact on Ag-GHG emissions in SEA, reducing emissions by 6–8 %. This decline was partially mediated by an increase in agricultural exports. The study provides valuable insights of BRI impact and underlying drivers on Ag-GHG emissions in SEA. These findings can guide policy decisions for integration into BRI to mitigate agricultural emissions in the region.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"220 ","pages":"Article 108343"},"PeriodicalIF":11.2,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143899044","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}

引用次数: 0

Using open GPS trajectory data to quantify nature-based recreation at a national scale 利用开放的GPS轨迹数据在全国范围内量化以自然为基础的娱乐活动

IF 11.2 1区环境科学与生态学

Resources Conservation and Recycling Pub Date : 2025-05-01 DOI: 10.1016/j.resconrec.2025.108340

Pei Wang , Zhicong Zhao , Ruijia Zhu , Hao Wang , Shaochong Xue , Yiwei Liu , Fangyi Wang , Yue Cao , Le Yu , Rui Yang

{"title":"Using open GPS trajectory data to quantify nature-based recreation at a national scale","authors":"Pei Wang , Zhicong Zhao , Ruijia Zhu , Hao Wang , Shaochong Xue , Yiwei Liu , Fangyi Wang , Yue Cao , Le Yu , Rui Yang","doi":"10.1016/j.resconrec.2025.108340","DOIUrl":"10.1016/j.resconrec.2025.108340","url":null,"abstract":"<div><div>Understanding the patterns of nature-based recreation (NbR) is crucial for both the sustainability of NbR and nature conservation. Using open GPS trajectory data, this study quantifies the spatial and temporal patterns of NbR in China’s non-urban areas (NUA). Results reveal that when China’s NUA are divided into 1 km grids, NbR trajectories are distributed across 8.67 % of these grids. Spatial autocorrelation analysis reveals the significant clustering pattern of NbR activities. The 1 km-resolution density map of NbR trajectories indicates that the number of NbR activities per unit area follows a power-law distribution. Using the Getis-Ord Gi* method, we identify the hotspots of NbR activities covering 0.21 % of China’s NUA, of which 31.13 % are within protected areas (PAs). The average density of NbR trajectories of NUA within PAs is 1.75 times that of NUA outside PAs. 59.96 % of terrestrial national nature reserves face higher NbR activity density pressure than their buffer zones. Our findings highlight the NbR pressure challenges faced by China’s PAs, contribute to optimizing China’s management of NbR and PAs. This study proposes a framework for using open GPS trajectories to analyze NbR activities in NUA and PAs at a national scale, which can be adapted in other countries.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"220 ","pages":"Article 108340"},"PeriodicalIF":11.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143890984","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}

引用次数: 0

Recovery of metal elements from spent lithium batteries using their inherent “Lattice redox energy” 利用废旧锂电池固有的“点阵氧化还原能”回收金属元素

IF 11.2 1区环境科学与生态学

Resources Conservation and Recycling Pub Date : 2025-05-01 DOI: 10.1016/j.resconrec.2025.108345

Honghuai Sun , Huiliang Hou , Qingming Song , Ya Liu , Bang Li , Zhenming Xu

{"title":"Recovery of metal elements from spent lithium batteries using their inherent “Lattice redox energy”","authors":"Honghuai Sun , Huiliang Hou , Qingming Song , Ya Liu , Bang Li , Zhenming Xu","doi":"10.1016/j.resconrec.2025.108345","DOIUrl":"10.1016/j.resconrec.2025.108345","url":null,"abstract":"<div><div>Spent lithium batteries (SLIBs) cathode material possess the ability of redox (“lattice redox energy”), which was always overlooked. This study conceptualizes SLIB recycling as the reverse process of battery manufacturing, proposing to utilize inherent oxidative driving force to substitute the externally supplied redox reagents in recycling process. By revealing the mechanism of LiCoO<sub>2</sub> (LCO) lattice redox potential regulation, we constructed a self-driven recycling process for LCO (or LiNi<sub>x</sub>Co<sub>y</sub>Mn<sub>z</sub>O<sub>2</sub>) batteries and LiFePO<sub>4</sub> batteries using Fe<sup>2+</sup>/Fe<sup>3+</sup> as an “electron shuttle bus”. Though 10 cycles, under conditions of no added redox agent, low acidity (pH 1.53), low acid consumption (1.04 times the stoichiometric amount), and high solid-liquid ratio (98 g/L), the leaching efficiency reached 100 % for lithium and 96.5 % for cobalt. The utilization of lattice redox energy from SLIBs reduced the economic cost of reagents needed in the recycling process by 42 %.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"220 ","pages":"Article 108345"},"PeriodicalIF":11.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143894685","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}

引用次数: 0

Integrated valorisation of a solid impurity stream in copper production: recovery and sustainability in metal extraction 铜生产中固体杂质流的综合增值：金属提取中的回收和可持续性

IF 11.2 1区环境科学与生态学

Resources Conservation and Recycling Pub Date : 2025-05-01 DOI: 10.1016/j.resconrec.2025.108348

Patricia Córdoba

{"title":"Integrated valorisation of a solid impurity stream in copper production: recovery and sustainability in metal extraction","authors":"Patricia Córdoba","doi":"10.1016/j.resconrec.2025.108348","DOIUrl":"10.1016/j.resconrec.2025.108348","url":null,"abstract":"<div><div>The sustainable recovery of critical and added-value metals from industrial by-products is essential for circular economy strategies in metallurgical industries. This study presents an integrated approach for the speciation and selective recovery of copper (Cu), zinc (Zn), bismuth (Bi), iron (Fe), cadmium (Cd), bismuth (Bi), and lead (Pb) from electrostatic precipitator (ESP) converter dust generated in a Cu smelter, while separating arsenic (As) and tin (Sn).The ESP dust is composed of fine metal-sulphate particles with concentrations of Cu (16.4 wt%), Zn (14.4 wt%), Bi (1.51 wt%), Pb (12.2 wt%), Fe (1.33 wt%), and Cd (0.54 wt%). X-ray diffraction identified crystalline phases such as gunnite and anglesite, while thermogravimetric analysis highlighted distinct thermal decomposition pathways of metal-bearing species. A mass fractionation approach, integrated with a hydrometallurgical strategy involving ion exchange, electrowinning, and selective precipitation, enabled efficient metal recovery ranging from 84 % to 99 %, while ensuring effective separation of As and Sn.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"220 ","pages":"Article 108348"},"PeriodicalIF":11.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143894686","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}

引用次数: 0

Toward net-zero cement: linking demand-side measures with plant-level technology strategies 实现水泥净零排放：将需求侧措施与工厂级技术战略联系起来

IF 11.2 1区环境科学与生态学

Resources Conservation and Recycling Pub Date : 2025-05-01 DOI: 10.1016/j.resconrec.2025.108339

Xinke Song , Kangxin An , Rui Wang , Gang Liu , Can Wang

{"title":"Toward net-zero cement: linking demand-side measures with plant-level technology strategies","authors":"Xinke Song , Kangxin An , Rui Wang , Gang Liu , Can Wang","doi":"10.1016/j.resconrec.2025.108339","DOIUrl":"10.1016/j.resconrec.2025.108339","url":null,"abstract":"<div><div>Achieving climate goals in the cement sector requires combining supply- and demand-side strategies. To explore this interplay, this study develops a spatially explicit modeling framework that integrates sectoral decarbonization pathways and plant-level optimization. Results show that, in 2060, incorporating demand-side measures—compared to relying solely on supply-side technologies—reduces required carbon capture and storage (CCS)-equipped clinker capacity from 941.9 to 353.8 Mt/year, inter-provincial CO₂ transport from 182.6 to 41.7 Mt/year, and mitigation costs from 246 to 217 CNY/tCO₂. These measures also enable net-negative emissions of -69.0 Mt CO₂/year. Spatial analysis highlights Henan, Hebei, Sichuan, and Anhui provinces as priority regions for CCS deployment across all scenarios, reflecting the existing industrial structure and proximity to geological storage sites. These findings offer practical insights for optimizing plant-level technology choices, strengthening regional coordination, and advancing integrated mitigation policy development.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"220 ","pages":"Article 108339"},"PeriodicalIF":11.2,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143890991","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}

引用次数: 0

Machine learning assisted optimization of polyoxometalate catalyzed lignin oxidation and depolymerization through reverse design 通过反设计，机器学习辅助优化多金属氧酸催化木质素氧化解聚

IF 11.2 1区环境科学与生态学

Resources Conservation and Recycling Pub Date : 2025-04-30 DOI: 10.1016/j.resconrec.2025.108337

Jiemin Zheng , Yidi Gao , Keqing Li , Yiyun Zheng , Guanqiao Li , Leilei Zhang , Jinghui Wu , Yan Shi , Mingxin Huo , Xianze Wang

{"title":"Machine learning assisted optimization of polyoxometalate catalyzed lignin oxidation and depolymerization through reverse design","authors":"Jiemin Zheng , Yidi Gao , Keqing Li , Yiyun Zheng , Guanqiao Li , Leilei Zhang , Jinghui Wu , Yan Shi , Mingxin Huo , Xianze Wang","doi":"10.1016/j.resconrec.2025.108337","DOIUrl":"10.1016/j.resconrec.2025.108337","url":null,"abstract":"<div><div>Biomass, as a renewable carbon resource, holds significant potential in addressing the growing energy crisis. Lignin, a key biomass component, can be converted into valuable compounds via polyoxometalate catalysis. Traditional methods require trial-and-error in catalyst selection and reaction optimization, leading to high consumption of chemical reagents and significant waste of resources, energy, and time. To address these issues, we integrated machine learning to develop a predictive modeling and reverse design system for lignin depolymerization, optimizing catalyst selection and reaction conditions. Among the models evaluated, the Artificial Neural Network (ANN) outperformed others, achieving R<sup>2</sup> values of 0.91, 0.90, and 0.90 for lignin conversion and phenol/acetophenone yield prediction, respectively. Incorporating virtual sample generation (VSG) and prior knowledge significantly improved prediction accuracy, increasing the average R<sup>2</sup> of the models from 0.66 to 0.98. This study provides a more efficient and cost-effective approach to lignin depolymerization, improving resource utilization and contributing to sustainable development.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"220 ","pages":"Article 108337"},"PeriodicalIF":11.2,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887699","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}

引用次数: 0

Achieving peat-free hobby gardening for climate mitigation in Germany: Insights into prices of growing media constituents, potting soils and policy options 在德国实现无泥炭爱好园艺以缓解气候变化：对种植介质成分、盆栽土壤和政策选择价格的见解

IF 11.2 1区环境科学与生态学

Resources Conservation and Recycling Pub Date : 2025-04-30 DOI: 10.1016/j.resconrec.2025.108330

Olivier Hirschler , Bernhard Osterburg

引用次数: 0

Data-driven life cycle assessment of the automobile industry in Indonesia: Identifying circular supply chain enablers 数据驱动的印尼汽车工业生命周期评估：识别循环供应链推动者

IF 11.2 1区环境科学与生态学

Resources Conservation and Recycling Pub Date : 2025-04-30 DOI: 10.1016/j.resconrec.2025.108338

Taufik Kurrahman , Feng Ming Tsai , Kanchana Sethanan , Ming K. Lim , Ming-Lang Tseng

{"title":"Data-driven life cycle assessment of the automobile industry in Indonesia: Identifying circular supply chain enablers","authors":"Taufik Kurrahman , Feng Ming Tsai , Kanchana Sethanan , Ming K. Lim , Ming-Lang Tseng","doi":"10.1016/j.resconrec.2025.108338","DOIUrl":"10.1016/j.resconrec.2025.108338","url":null,"abstract":"<div><div>This study constructs and develops a valid hierarchical structure for life cycle assessments (LCA) of circular supply chain (CSC) enablers within the automobile industry in Indonesia. Prior studies have focused on developing LCA of CSC enablers metrics; however, there is insufficient focus on integrated assessments of materials, parts, and product design in conjunction with waste management, aimed at enhancing the entire life cycle from raw material extraction and sourcing to end-of-life management. This study adds to the LCA literature by integrating the essential circular materials, parts and product design to optimize waste management, while enhancing the hierarchical measures of CSC enablers for improved policy recommendations and decision-making process, employing a data-driven approach to develop the structure. This data-driven approach that utilizes both qualitative and quantitative techniques integrates content and bibliographic analyses, the entropy weighted method, the fuzzy Delphi method, exploratory factor analysis, and fuzzy decision-making trial and evaluation laboratory to construct a hierarchical LCA structure by analyzing the interrelationships among attributes. The findings indicate that prioritizing assessments of waste management and circular materials, parts and product design are essential for improving CSC. Prioritize product refurbishment, eco-design, recycling process improvement, information management systems, and risk assessment management are as key CSC enablers for policy recommendations.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"220 ","pages":"Article 108338"},"PeriodicalIF":11.2,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143887773","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}

引用次数: 0

Assembly restoration framework for modelling circular building strategies 模拟圆形建筑策略的装配修复框架

IF 11.2 1区环境科学与生态学

Resources Conservation and Recycling Pub Date : 2025-04-29 DOI: 10.1016/j.resconrec.2025.108331

Adama Olumo, Costa Kapsis, Carl Haas

引用次数: 0

Optimization of industrial waste composition for eco-cement production using machine learning with meta-heuristic method 基于元启发式机器学习的生态水泥工业废弃物组成优化研究

IF 11.2 1区环境科学与生态学

Resources Conservation and Recycling Pub Date : 2025-04-28 DOI: 10.1016/j.resconrec.2025.108328

Wei Luo , Longming Liu , Jingping Hu , Huijie Hou , Hongyun Hu , Jiakuan Yang

{"title":"Optimization of industrial waste composition for eco-cement production using machine learning with meta-heuristic method","authors":"Wei Luo , Longming Liu , Jingping Hu , Huijie Hou , Hongyun Hu , Jiakuan Yang","doi":"10.1016/j.resconrec.2025.108328","DOIUrl":"10.1016/j.resconrec.2025.108328","url":null,"abstract":"<div><div>Industrial solid waste utilization in ecological cement production reduces carbon emissions and resource consumption. However, waste composition variability challenges product consistency, hindering widespread implementation. This study presents a novel artificial intelligence driven optimization framework that combines triple back-propagation neural network (BPNN), non-dominated sorting genetic algorithm-II (NSGA-II) and super-efficiency data envelopment analysis (SE-DEA), to optimize raw material proportions. The triple BPNN architecture, which separately models raw meal grinding, clinker calcination, and clinker homogenization, demonstrates superior prediction accuracy. By integrating SE-DEA within NSGA-II, the algorithm achieves balanced optimization across multiple performance metrics. Cement produced using this optimization framework demonstrates improved long-term mechanical properties, with 28-day compressive strength ranking in the top 4.11 % and 28-day flexural strength in the top 7.41 % of the historical production data from the same facility. The proposed framework exhibits significant potential for the development and promotion of ecological cement technology while promoting industrial waste utilization at large scale.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"220 ","pages":"Article 108328"},"PeriodicalIF":11.2,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143879301","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}

引用次数: 0