Resources Environment and Sustainability最新文献

{"title":"Graph-based machine learning for high-resolution assessment of pedestrian-weighted exposure to air pollution","authors":"Feifeng Jiang ,&nbsp;Jun Ma","doi":"10.1016/j.resenv.2025.100219","DOIUrl":"10.1016/j.resenv.2025.100219","url":null,"abstract":"<div><div>Pedestrians are particularly vulnerable to air pollution due to their proximity to pollutant sources and elevated respiratory rates during physical activity, amplifying cumulative health risks. However, existing studies focus on concentration- or residence-based exposure assessment, overlooking the dynamic interaction between pollution patterns and pedestrian activity. This study therefore introduces a novel methodological framework to assess pedestrian-specific exposure to PM2.5 in diverse urban environments. Applied to New York City, the framework leverages graph-based machine learning to predict street-level PM2.5 concentrations from vehicle-sensed pollution data, while estimating high-resolution pedestrian volume derived from street view imagery and ground-truth count data. The results reveal significant divergences between traditional exposure assessments and pedestrian-specific exposure patterns, uncovering previously overlooked high-risk zones. High-exposure hotspots are not limited to areas with elevated pollution levels but also include locations where moderate pollution coincides with high pedestrian activity. This study also explores the spatial relationship between exposure patterns and urban vegetation coverage, providing actionable insights for targeted interventions. By bridging the gap between pollution dynamics and pedestrian activity, this research provides urban planners and policymakers with new insights for developing pedestrian-centered air quality management strategies, contributing to healthier and more sustainable urban environments.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"20 ","pages":"Article 100219"},"PeriodicalIF":12.4,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143790750","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How does the long-term return of mix-sowing green manures increase nitrogen utilization and decrease ecological costs of wheatland under reduced chemical nitrogen input?","authors":"Jingui Wei,&nbsp;Wen Yin,&nbsp;Qiang Chai,&nbsp;Zhilong Fan,&nbsp;Falong Hu,&nbsp;Lianhao Zhao","doi":"10.1016/j.resenv.2025.100220","DOIUrl":"10.1016/j.resenv.2025.100220","url":null,"abstract":"<div><div>Increasing nitrogen (N) utilization and reducing ecological costs of farmland are key objectives for mitigating environmental pollution and advancing sustainable agricultural development. Green manure is widely used to increase crop N efficiency while replacing partial chemical N input. However, it remains uncertain whether reducing chemical N supply, combined with mix-sowing green manures, could increase N utilization and reduce ecological costs of wheatland, revealing its mechanisms of soil N regulation and bacteria diversity. A 6-year field experiment was conducted in an arid irrigation area of northwestern China, implementing wheat multi-cropping different green manures and mix-sowing green manures (F, fallow; CV, common vetch; R, rapeseed; HCV, hairy vetch and common vetch) under reduced chemical N (N3, conventional N application rate; N2, reduced N by 20%; N1, reduced N by 40%). Our results showed that reducing chemical N decreased wheat yield and N efficiency, while green manure return increased wheat yield and N efficiency. Under N2, HCV had a higher wheat yield and N efficiency than CV, R, and F. Wheat N uptake and active N loss were decreased with chemical N reduction but enhanced with green manure return. HCVN2 improved wheat N uptake by 8.3% while reducing ammonia volatilization, nitrous oxide emissions, and nitrate leaching by 12.5%, 17.2%, and 22.1%, respectively, compared to FN3. The mechanisms of HCVN2 enhanced N utilization and reduced ecological costs of wheatland, mainly including increased N contents in the 0–40 cm soil layer, improved soil enzyme activities of N metabolism, and enriched soil bacterial diversity. Therefore, mix-sowing green manures return enhanced N utilization and decreased ecological costs of wheatland under a 20% reduction in chemical N input.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"21 ","pages":"Article 100220"},"PeriodicalIF":12.4,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143790923","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancement joint fertilization efficacy of straw and nitrogen fertilizer on soil quality and seedcotton yield for sustainable cotton farming","authors":"Qiang Li ,&nbsp;Zhitao Liu ,&nbsp;Li’an Wang,&nbsp;Ying Zhang,&nbsp;Mengyao Guo,&nbsp;Wen Jin,&nbsp;Wei Hu,&nbsp;Yali Meng,&nbsp;Haishui Yang,&nbsp;Zhiguo Zhou","doi":"10.1016/j.resenv.2025.100218","DOIUrl":"10.1016/j.resenv.2025.100218","url":null,"abstract":"<div><div>Straw return with optimizing nitrogen fertilizer is an important way to achieve sustainable cotton farming. However, quantitative analysis of joint fertilization efficacy (JFE) of straw return and nitrogen fertilizer on soil quality and seedcotton yield remains uncertain. Herein, based on a 7-year field experiment, we evaluated the dynamic characteristics of JFE of straw return and nitrogen rates (75, 150 and 300 kg N ha⁻¹, denote as N75, N150 and N300, respectively) on soil quality index (JFE-SQI) and seedcotton yield (JFE-Y) in a cotton–wheat​ cropping system of East China. The results showed that straw return with moderate nitrogen rate (i.e.N150) improved soil quality by reducing bulk density, increasing soil carbon and nitrogen sequestration, promoting nutrient availability, stimulating microbial growth and enhancing soil enzyme activities, thereby improving seedcotton yield and its stability. Straw return with N150 could also achieve higher JFE-SQI and JFE-Y synergistically. Meanwhile, JFE-SQI and JFE-Y at N150 had a synergistic effect (JFE &gt; 10%) in the first 5 year while a summing effect (−10% <span><math><mo>≤</mo></math></span> JFE <span><math><mo>≤</mo></math></span> 10%) from the sixth year. And the highest JFE-Y could be reached when moderate JFE-SQI was achieved, indicating that there was a nitrogen-driven tradeoff between JFE-SQI and JFE-Y. Moreover, Climatic factor exerted a significant contribution to seedcotton yield and JFE-Y. In conclusion, reasonable straw return and nitrogen fertilizer management strategy is an effective way to realize sustainable cotton planting under the global climate change.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"20 ","pages":"Article 100218"},"PeriodicalIF":12.4,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Co-control of multi-pollutants and CO2 based on extended life cycle assessment in electrolytic manganese industry","authors":"Ruichen Wang ,&nbsp;Zhe Bai ,&nbsp;Dandan Liu ,&nbsp;Jingyang Liu ,&nbsp;Zhiguo Yuan ,&nbsp;Chunge Dang ,&nbsp;Feilong Zhang","doi":"10.1016/j.resenv.2025.100217","DOIUrl":"10.1016/j.resenv.2025.100217","url":null,"abstract":"<div><div>The electrolytic manganese metal (EMM) industry has long been restricted because of associated heavy pollution and high CO₂ emissions. In this study, an extended life cycle assessment (LCA) was conducted on the entire process of EMM production and an integrative decision-making framework was developed for the co-abatement of multiple pollutants and CO₂, including emissions accounting, program design, and co-abatement economic benefits assessment. In the extended LCA that additionally considers the electric power supply and manganese residue treatment, the CO₂ emissions from EMM production increased by 173% and the equivalent pollutant loads decreased by 85%. A technical guideline consisting of 16 co-control measures was formulated based on capacity adjustment, energy structure optimization, production management, and technical equipment upgrading. After eliminating the overlapping abatement effects among measures, this scheme achieved a cumulative abatement potential of 35.3% for CO₂ and 96.3% for the equivalent pollutants. The co-econ<span><math><msub><mrow></mrow><mrow><mi>i</mi><mi>j</mi></mrow></msub></math></span> ranking results show that technologies based on the concepts of source reduction and resource recycling are more environmentally friendly and cost-efficient. Sensitivity analysis proved that the results were robust. This study enriches the theory of co-control of emissions and provides an efficient and credible methodology and practical reference for policymakers and industrial enterprises.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"20 ","pages":"Article 100217"},"PeriodicalIF":12.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143683051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Combatting environmental impacts and microbiological pollution risks in Potato cropping: Benefits of forage cultivation in a semi-arid region","authors":"Xudong Sun ,&nbsp;Yousif Abdelrahman Yousif Abdellah ,&nbsp;Guangyan Wang ,&nbsp;Huasen Wang ,&nbsp;Jishao Jiang ,&nbsp;Yu Zhang ,&nbsp;Caspar C.C. Chater ,&nbsp;Yongping Yang ,&nbsp;Yuanwen Duan ,&nbsp;Fuqiang Yu ,&nbsp;Dong Liu","doi":"10.1016/j.resenv.2025.100216","DOIUrl":"10.1016/j.resenv.2025.100216","url":null,"abstract":"<div><div>Continuous potato cropping in semi-arid regions, which are vulnerable to erosion, reduces tuber yields and leads to a decline in soil quality. This research delves into the impact of forage cultivation on soil bacterial and archaeal communities and the associated hazard-related virulence genes and antibiotic resistance genes (ARGs) within potato cropping systems. The study reveals that distinct crop rotation schemes significantly alter soil physicochemical properties. Compared to non-potato cultivation, continuous potato cropping substantially reduces soil organic carbon from 31.9 g kg <span><math><msup><mrow></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></math></span> to 15.7 g kg <span><math><msup><mrow></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></math></span> and total nitrogen from 3.7 g kg <span><math><msup><mrow></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></math></span> to 1.6 g kg <span><math><msup><mrow></mrow><mrow><mo>−</mo><mn>1</mn></mrow></msup></math></span>, indicating a notable deterioration in soil fertility. Among the ten identified phyla, Proteobacteria demonstrates the highest relative abundance, from 34.6% to 38.4%, closely followed by Actinobacteria, ranging from 20.5% to 36.0%. These two phyla likely play a crucial role in maintaining soil health. Moreover, continuous potato cultivation (CPC) results in more specific ARGs than non-potato cultivation (NPC). This phenomenon implies that CPC may select for particular resistance traits within the soil microbiome, potentially due to changes in the composition of the soil microbiota. Forage crops (oats or a mixture of oats and peas) exhibit varying effects on ARGs at different growth stages. The differences observed between the flowering and maturity stages of oats suggest that plant growth and the composition of root exudates can influence microbial communities and the prevalence of ARGs. The Mantel test further indicates that specific soil properties impact the abundance of certain microbial taxa and determine the expression of key functional genes, including those associated with antibiotic resistance. These findings underscore the intricate interactions among microbial communities, genes, and soil health, providing essential guidance for formulating agricultural practices to manage soil health and mitigating problems such as antibiotic resistance in continuously cropped soils.</div><div>Importantly, this study highlights the significant benefits of crop diversification, primarily through the incorporation of forage crops, in safeguarding soil health and maintaining microbial diversity within potato cropping systems. The results offer valuable perspectives for developing sustainable agricultural strategies, which can enhance soil fertility and promote ecosystem stability in semi-arid regions.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"20 ","pages":"Article 100216"},"PeriodicalIF":12.4,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Global supply chain restructuring towards achieving a low-carbon procurement of mineral resources for metal production","authors":"Keitaro Maeno ,&nbsp;Shohei Tokito ,&nbsp;Ryosuke Yokoi ,&nbsp;Shigemi Kagawa","doi":"10.1016/j.resenv.2025.100215","DOIUrl":"10.1016/j.resenv.2025.100215","url":null,"abstract":"<div><div>To reduce embodied CO₂ emissions in producing metals for which rapid demand growth is expected due to their critical role in decarbonization, it is essential for metal industries worldwide to establish a low-carbon procurement structure of mineral resources as raw materials for their production activities. This study explored the CO₂ reduction potential by shifting the sourcing partners of mineral resources for metal production towards a low-carbon procurement structure, considering the structural changes in global supply chains (GSCs) (i.e., GSC restructuring) triggered by these shifts. In this process, we applied a multi-regional input output framework in an extended way to model the GSC restructuring based on physical transactions of mineral resources internationally traded in GSCs. From the results focusing on the restructuring of GSCs of the Japanese industries towards the low-carbon procurement of iron and copper ores revealed a CO₂ reduction potential of the GSC restructuring by approximately -40% of CO₂ emissions embodied in the production of both relevant mineral resources induced in the GSCs. Furthermore, by comparing the restructuring in GSCs of the Japanese, German, USA, and Chinese industries, we highlighted differences in the significance of the CO₂ reduction potential of GSC restructuring in each GSC. Finally, we demonstrated the GSC restructuring formulated in this study has a large contribution to reducing scope3-CO₂ emissions of metal production in the relevant GSCs, and provided effective policy suggestions for governments in countries that rely on outsourcing for mineral resources based on our findings.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"20 ","pages":"Article 100215"},"PeriodicalIF":12.4,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Carbon footprint of global cotton production","authors":"Zhuhong Yu,&nbsp;Yi Yang","doi":"10.1016/j.resenv.2025.100214","DOIUrl":"10.1016/j.resenv.2025.100214","url":null,"abstract":"<div><div>Cotton constitutes one-quarter of the global fiber market. With growing global attention to the carbon footprint and net-zero pathways of the fashion and textile industries, it is essential to quantify the life-cycle greenhouse gas (GHG) emissions, or carbon footprint, of cotton production and develop effective emission reduction strategies. Based on life-cycle assessment, we estimate that global GHG emissions from cotton production in 2020 amounts to approximately 63 Mt CO₂e, with substantial regional variability observed. Emissions intensity ranges from 0.3 to 1.4 t CO₂e per t of cotton produced, with an average of 0.9 t CO₂e per t or 1.9 t CO₂e per t of fiber produced. Across the countries evaluated, India has the most GHG emissions and, hence, the largest reduction potential, highlighting the need for prioritized localized strategies in that region. Nitrogen fertilizer is identified as the main driver of cotton’s carbon footprint, due to direct <span><math><msub><mrow><mi>N</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>O emissions and indirect GHG emissions from production. In some regions, phosphorus (<span><math><msub><mrow><mi>P</mi></mrow><mrow><mn>2</mn></mrow></msub></math></span>O₅) fertilizer and diesel use are also important sources of emissions. Scenario analysis indicates that cotton’s carbon footprint can be reduced by <span><math><mo>∼</mo></math></span>37% through improving nitrogen use efficiency and increasing manure application, and an additional <span><math><mo>∼</mo></math></span>12% reduction is possible by powering farm equipment with renewable energy. Our study provides important information for decision makers regarding how to make global cotton production more sustainable and climate friendly.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"20 ","pages":"Article 100214"},"PeriodicalIF":12.4,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143791347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Is ‘local food’ best? Evaluating agricultural greenhouses in Switzerland as an alternative to imports for reducing carbon footprint","authors":"Vanessa Burg ,&nbsp;Hamidreza Solgi ,&nbsp;Farzaneh Rezaei ,&nbsp;Stephan Pfister ,&nbsp;Ramin Roshandel ,&nbsp;Stefanie Hellweg","doi":"10.1016/j.resenv.2025.100209","DOIUrl":"10.1016/j.resenv.2025.100209","url":null,"abstract":"<div><div>Sustainable agricultural practices are essential to mitigate environmental impacts. Greenhouse cultivation offers potential solutions for enhancing crop yields and reducing the impacts on land and water resources. However, reliance on fossil-based heating systems poses challenges regarding carbon footprint. This study provides a comparative life cycle assessment (LCA) of the carbon and water footprints of imported and locally produced greenhouse crops in Switzerland, considering the local climatic conditions and the predominant production systems in different regions. The findings reveal that the carbon footprint is primarily driven by heating, supplementary lighting, and CO₂ fertilization, while transportation emissions are relatively minor. A key insight is that using waste heat for greenhouse heating in Switzerland can reduce the carbon footprint to less than one-third (e.g., 0.6 CO₂-eq/kg for tomatoes) compared to local natural-gas-based heating systems. However, imports from warmer locations still show a slightly lower carbon footprint (0.4-0.5 CO₂-eq/kg) due to the absence of heating, lighting, and CO₂ enrichment, but often come with trade-offs concerning the water footprint. Seasonal variations also strongly influence the carbon footprint: early winter cultivation can result in up to five times higher carbon footprint than summer cultivation, while waste-heat systems reduce but do not eliminate this effect. These findings highlight the potential of waste-heat-based greenhouses as a lower-carbon alternative to fossil-fueled domestic production and imports from less favorable climates while underscoring the environmental benefits of seasonal diets.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"20 ","pages":"Article 100209"},"PeriodicalIF":12.4,"publicationDate":"2025-03-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143600458","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of cotton planting suitability in Xinjiang based on climate change and soil fertility factors simulated by coupled machine learning model","authors":"Yonglin Jia ,&nbsp;Yi Li ,&nbsp;Asim Biswas ,&nbsp;Jiayin Pang ,&nbsp;Xiaoyan Song ,&nbsp;Guang Yang ,&nbsp;Zhen’an Hou ,&nbsp;Honghai Luo ,&nbsp;Xiangwen Xie ,&nbsp;Javlonbek Ishchanov ,&nbsp;Ji Chen ,&nbsp;Juanli Ju ,&nbsp;Kadambot H.M. Siddique","doi":"10.1016/j.resenv.2025.100200","DOIUrl":"10.1016/j.resenv.2025.100200","url":null,"abstract":"<div><div>Cotton is the world’s most widely cultivated fiber crop and holds great significance in Xinjiang. However, unsuitable planting environments can hinder farmer income and result in a substantial waste of agricultural resources.This study explores suitability of cotton planting areas in Xinjiang to reduce agricultural inputs and pollution. The goal is to promote sustainable agricultural development by considering both climate change and soil fertility, factors often overlooked in previous research. We analyzed climate change trends in Xinjiang and used machine learning-transfer component analysis to build a transferable coupling model for total nitrogen (TN) and soil organic carbon (SOC) indicators, resulting in a cotton suitability zoning that accounts for climate and soil fertility factors. Xinjiang has seen an overall increase in cumulative temperature and rainfall, with southern Xinjiang showing the most significant rise (4.02% in temperature and 16.26% in rainfall). The random forest model (RF) outperformed multivariate linear regression (MLR) and support vector machines (SVM) in predicting soil fertility indicators (TN: R<span><math><mrow><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>80</mn></mrow></math></span>, SOC: R<span><math><mrow><msup><mrow></mrow><mrow><mn>2</mn></mrow></msup><mo>=</mo><mn>0</mn><mo>.</mo><mn>77</mn></mrow></math></span>). The RF-TCA coupling model enhanced adaptability, with better performance in TN prediction compared to SOC. The Xinjiang cotton suitability zoning, based on meteorological and soil data, indicates a northward shift in suitable cotton planting areas in northern Xinjiang, while southern Xinjiang continues to maintain a substantial number of suitable planting zones. Notably, the disparity in suitability between the two regions has been narrowing over time. The research offers valuable insights for optimizing cotton planting locations, enhancing resource efficiency, and promoting sustainable development in Xinjiang.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"20 ","pages":"Article 100200"},"PeriodicalIF":12.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143629105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Efficiently enriched Ni, Co, and Zn with (NH4)2S-SDD combined system in MnSO 4 electrolyte","authors":"Panpan Mu ,&nbsp;Xiaoguang Zhang ,&nbsp;Gang Fang ,&nbsp;Guosai Jiang ,&nbsp;Zhe Tan ,&nbsp;De’an Pan","doi":"10.1016/j.resenv.2025.100212","DOIUrl":"10.1016/j.resenv.2025.100212","url":null,"abstract":"<div><div>In the electrolytic manganese process, efficient sulfidation enrichment of Ni, Co, and Zn is essential for resource recovery. This study uses (NH₄)₂S and SDD as composite sulfiding agents and employs a batch addition method to achieve high enrichment of Ni, Co, and Zn. When the temperature is 45 °C, the ammonium sulfide dosage is 40% of the theoretical value, the SDD dosage is 160% of the theoretical value, the pH is 5.60, the reaction time is 30 min, and the stirring speed is 650 rpm, the enrichment rates of Ni, Co, and Zn exceed 99%, with a manganese impurity ratio of 1475.3. Under these conditions, the sulfidation of Ni, Co, and Zn is controlled by chemical reactions, with apparent activation energies (Ea) of 30.29, 35.30, and 38.73 kJ/mol, respectively. First-principles calculation results show that the bond length of <span><math><msub><mrow><mi>C</mi></mrow><mrow><mn>3</mn></mrow></msub></math></span>H₆NS₂-Me<span><math><msup><mrow></mrow><mrow><mn>2</mn><mo>+</mo></mrow></msup></math></span> and the Gibbs free energy during the sulfidation reaction are key factors contributing to the selective enrichment of Ni, Co, and Zn. The life cycle assessment (LCA) indicates that the treatment cost for 1 L of electrolytic manganese solution is 5.95 ¥, demonstrating good environmental and economic benefits. This study provides an efficient enrichment method for the recovery of strategic metals Ni, Co, and Zn, while also offering an electrolyte with low Ni, Co, and Zn impurities for the electrolytic manganese system.</div></div>","PeriodicalId":34479,"journal":{"name":"Resources Environment and Sustainability","volume":"20 ","pages":"Article 100212"},"PeriodicalIF":12.4,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143578175","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}