Pub Date : 2024-10-04DOI: 10.1016/j.resconrec.2024.107945
Zimeng Cai , Huimin Chang , Changqing Xu , Wei Lin , Jing Guo , Nan Li , Ming Xu
{"title":"Reclaimed water treatment life cycle inventory dataset for China","authors":"Zimeng Cai , Huimin Chang , Changqing Xu , Wei Lin , Jing Guo , Nan Li , Ming Xu","doi":"10.1016/j.resconrec.2024.107945","DOIUrl":"10.1016/j.resconrec.2024.107945","url":null,"abstract":"","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"212 ","pages":"Article 107945"},"PeriodicalIF":11.2,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420236","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 : 2024-10-04DOI: 10.1016/j.resconrec.2024.107940
Liyuan Chen, Aidong Yang
Removing and storing CO2 from the atmosphere has an important role in combating climate change. This study assessed the CO2 removal potential of combining direct air capture with carbonation of recycled concrete aggregates (RCAs). An industrial-scale RCA carbonation process model quantified key parameters' impacts on carbonation duration and energy consumption. Furthermore, a lifecycle analysis evaluated scenarios of two cases: (i) using pure CO2 with transportation between DAC and carbonation, and (ii) onsite production of low-purity CO2. For 90 % carbonation of 1 tonne of RCA, the performance of case-i scenarios ranged from ∼13 kg net CO2 removal to ∼14 kg net CO2 emission, influenced by DAC technology, transport option, and electricity carbon intensity. In case-ii scenarios, 1 % CO2 feed purity achieved 70 % greater CO2 removal than using pure CO2. This work provides an initial indication of the potential of this scheme while revealing key factors to investigate in future experimental exploration.
{"title":"Assessing the net carbon removal potential by a combination of direct air capture and recycled concrete aggregates carbonation","authors":"Liyuan Chen, Aidong Yang","doi":"10.1016/j.resconrec.2024.107940","DOIUrl":"10.1016/j.resconrec.2024.107940","url":null,"abstract":"<div><div>Removing and storing CO<sub>2</sub> from the atmosphere has an important role in combating climate change. This study assessed the CO<sub>2</sub> removal potential of combining direct air capture with carbonation of recycled concrete aggregates (RCAs). An industrial-scale RCA carbonation process model quantified key parameters' impacts on carbonation duration and energy consumption. Furthermore, a lifecycle analysis evaluated scenarios of two cases: (i) using pure CO<sub>2</sub> with transportation between DAC and carbonation, and (ii) onsite production of low-purity CO<sub>2</sub>. For 90 % carbonation of 1 tonne of RCA, the performance of case-i scenarios ranged from ∼13 kg net CO<sub>2</sub> removal to ∼14 kg net CO<sub>2</sub> emission, influenced by DAC technology, transport option, and electricity carbon intensity. In case-ii scenarios, 1 % CO<sub>2</sub> feed purity achieved 70 % greater CO<sub>2</sub> removal than using pure CO<sub>2</sub>. This work provides an initial indication of the potential of this scheme while revealing key factors to investigate in future experimental exploration.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"212 ","pages":"Article 107940"},"PeriodicalIF":11.2,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-04DOI: 10.1016/j.resconrec.2024.107950
Bingyan Cui, Hao Wang
Recycling of waste polymers for valuable use is important for circular economy and environmental sustainability. This study introduces a novel approach to evaluating the compatibility between waste polymers and asphalt binders using advanced molecular representation models. The solubility parameters of waste polymers were predicted using traditional machine learning (ML) models and geometry-enhanced graph neural network (GeoGNN), respectively. The compatibility index was then calculated based on the absolute difference between the solubility parameters of polymers and asphalt. Results indicate that GeoGNN outperforms traditional ML and other GNN models due to its superior ability to capture complex spatial structures. The study also identifies key molecular descriptors that significantly influence solubility parameters of waste polymers. Given the variability in asphalt binder composition, the most compatible waste polymers differ across binders, making the data-driven approach especially valuable. The GeoGNN model greatly enhances the ability to assess compatibility in the polymer-asphalt system. This complements experimental techniques by integrating geometric information to analyze molecular features uncovering the structure-property relationship of material.
回收利用废聚合物以实现有价值的利用对于循环经济和环境可持续性非常重要。本研究采用先进的分子表征模型，介绍了一种评估废弃聚合物与沥青粘结剂兼容性的新方法。分别使用传统的机器学习（ML）模型和几何增强图神经网络（GeoGNN）预测废聚合物的溶解度参数。然后根据聚合物和沥青溶解度参数之间的绝对差值计算出相容性指数。结果表明，GeoGNN 在捕捉复杂空间结构方面的能力优于传统的 ML 和其他 GNN 模型。研究还确定了对废聚合物溶解度参数有重大影响的关键分子描述符。鉴于沥青粘结剂成分的多变性，不同粘结剂中最相容的废弃聚合物也不尽相同，因此数据驱动方法尤为重要。GeoGNN 模型大大提高了评估聚合物-沥青系统兼容性的能力。它通过整合几何信息来分析分子特征，揭示材料的结构-性能关系，从而补充了实验技术。
{"title":"Compatibility analysis of waste polymer recycling in asphalt binder using molecular descriptor and graph neural network","authors":"Bingyan Cui, Hao Wang","doi":"10.1016/j.resconrec.2024.107950","DOIUrl":"10.1016/j.resconrec.2024.107950","url":null,"abstract":"<div><div>Recycling of waste polymers for valuable use is important for circular economy and environmental sustainability. This study introduces a novel approach to evaluating the compatibility between waste polymers and asphalt binders using advanced molecular representation models. The solubility parameters of waste polymers were predicted using traditional machine learning (ML) models and geometry-enhanced graph neural network (GeoGNN), respectively. The compatibility index was then calculated based on the absolute difference between the solubility parameters of polymers and asphalt. Results indicate that GeoGNN outperforms traditional ML and other GNN models due to its superior ability to capture complex spatial structures. The study also identifies key molecular descriptors that significantly influence solubility parameters of waste polymers. Given the variability in asphalt binder composition, the most compatible waste polymers differ across binders, making the data-driven approach especially valuable. The GeoGNN model greatly enhances the ability to assess compatibility in the polymer-asphalt system. This complements experimental techniques by integrating geometric information to analyze molecular features uncovering the structure-property relationship of material.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"212 ","pages":"Article 107950"},"PeriodicalIF":11.2,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420235","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-04DOI: 10.1016/j.resconrec.2024.107937
Iman Ranjbar , Yiannis Ventikos , Mehrdad Arashpour
The construction and demolition sector generates a substantial portion of Australia's total waste, with plastics being a key recyclable component. The perceived financial impracticality of sorting and separating waste, coupled with the simplicity of landfilling processes often contribute to mixed material loads sent directly to landfills. Therefore, developing a commercially feasible system that can accurately separate the generated waste is imperative. This paper presents a comprehensive study on using RGB images for deep learning-based construction and demolition plastic waste classification by resin type. A large and specialised dataset of end-of-life plastic waste images is gathered. This dataset comprises four commonly used plastic types in construction projects—ABS, HDPE, PS, and PVC. Leveraging Transfer Learning with models pre-trained on ImageNet, highly accurate models tailored to this classification task are developed in this paper. Advanced Convolutional Neural Network and Vision Transformer-based models, including ResNet, ResNeXt, RegNet, and Swin Transformer, are trained and evaluated on this dataset. Another contribution of this work is Knowledge Distillation from a large, computationally intensive, and accurate model to enhance the accuracy of fast and compact models specifically designed for deployment on edge devices. This study applies Knowledge Distillation by using the output class probabilities of the large, computationally intensive Swin Transformer model to enhance the accuracy of the fast and lightweight MobileNetV3 models. The results demonstrate that RGB images offer a practical alternative to other costly and complex systems for effective plastic identification, due to their availability, low cost, ease of use, simple setups, and robustness to variations in operational conditions.
{"title":"Deep learning-based construction and demolition plastic waste classification by resin type using RGB images","authors":"Iman Ranjbar , Yiannis Ventikos , Mehrdad Arashpour","doi":"10.1016/j.resconrec.2024.107937","DOIUrl":"10.1016/j.resconrec.2024.107937","url":null,"abstract":"<div><div>The construction and demolition sector generates a substantial portion of Australia's total waste, with plastics being a key recyclable component. The perceived financial impracticality of sorting and separating waste, coupled with the simplicity of landfilling processes often contribute to mixed material loads sent directly to landfills. Therefore, developing a commercially feasible system that can accurately separate the generated waste is imperative. This paper presents a comprehensive study on using RGB images for deep learning-based construction and demolition plastic waste classification by resin type. A large and specialised dataset of end-of-life plastic waste images is gathered. This dataset comprises four commonly used plastic types in construction projects—ABS, HDPE, PS, and PVC. Leveraging Transfer Learning with models pre-trained on ImageNet, highly accurate models tailored to this classification task are developed in this paper. Advanced Convolutional Neural Network and Vision Transformer-based models, including ResNet, ResNeXt, RegNet, and Swin Transformer, are trained and evaluated on this dataset. Another contribution of this work is Knowledge Distillation from a large, computationally intensive, and accurate model to enhance the accuracy of fast and compact models specifically designed for deployment on edge devices. This study applies Knowledge Distillation by using the output class probabilities of the large, computationally intensive Swin Transformer model to enhance the accuracy of the fast and lightweight MobileNetV3 models. The results demonstrate that RGB images offer a practical alternative to other costly and complex systems for effective plastic identification, due to their availability, low cost, ease of use, simple setups, and robustness to variations in operational conditions.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"212 ","pages":"Article 107937"},"PeriodicalIF":11.2,"publicationDate":"2024-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420185","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-10-02DOI: 10.1016/j.resconrec.2024.107906
Saghar Parikhah Zarmehr, Mohammadjavad Kazemi, Neelima Geetha Archana Madasu, Anthony J. Lamanna, Elham H. Fini
This paper presents a comparative analysis of bio-based polyurethane insulations and conventional polyurethanes, emphasizing their mechanical properties, thermal and acoustic performance, environmental benefits, and fire resistance. It addresses health and indoor air quality concerns related to volatile organic compounds and formaldehyde emissions from conventional polyurethanes, advocating for a transition to bio-based alternatives in construction to mitigate negative health and environmental impacts. The findings indicate that the eco-friendliness of bio-based polyurethane insulation hinges on the careful selection of bio-components to ensure sustainability compared to their petroleum-based counterparts. However, challenges persist in this area, particularly in optimizing the extraction and purification methods for bio-based polyols. Additionally, while the inclusion of bio-based components such as bio-oils and fillers enhances the properties of the insulation—improving sound absorption and thermal performance due to their porous structure—there is still limited research on the emissions associated with these materials. The review highlights significant research gaps, particularly regarding the environmental impact and performance of bio-based polyurethanes, and calls for comprehensive life-cycle assessments and cost analyses to substantiate their environmental and economic benefits. Future research directions should also include evaluating the recyclability of bio-based foams versus conventional foams, as well as addressing the challenges of integrating bio-based materials into building codes and standards, which can impede widespread adoption. By overcoming these obstacles, the sustainability and performance of bio-based polyurethane insulation products can be significantly improved.
{"title":"Application of bio-based polyurethanes in construction: A state-of-the-art review","authors":"Saghar Parikhah Zarmehr, Mohammadjavad Kazemi, Neelima Geetha Archana Madasu, Anthony J. Lamanna, Elham H. Fini","doi":"10.1016/j.resconrec.2024.107906","DOIUrl":"10.1016/j.resconrec.2024.107906","url":null,"abstract":"<div><div>This paper presents a comparative analysis of bio-based polyurethane insulations and conventional polyurethanes, emphasizing their mechanical properties, thermal and acoustic performance, environmental benefits, and fire resistance. It addresses health and indoor air quality concerns related to volatile organic compounds and formaldehyde emissions from conventional polyurethanes, advocating for a transition to bio-based alternatives in construction to mitigate negative health and environmental impacts. The findings indicate that the eco-friendliness of bio-based polyurethane insulation hinges on the careful selection of bio-components to ensure sustainability compared to their petroleum-based counterparts. However, challenges persist in this area, particularly in optimizing the extraction and purification methods for bio-based polyols. Additionally, while the inclusion of bio-based components such as bio-oils and fillers enhances the properties of the insulation—improving sound absorption and thermal performance due to their porous structure—there is still limited research on the emissions associated with these materials. The review highlights significant research gaps, particularly regarding the environmental impact and performance of bio-based polyurethanes, and calls for comprehensive life-cycle assessments and cost analyses to substantiate their environmental and economic benefits. Future research directions should also include evaluating the recyclability of bio-based foams versus conventional foams, as well as addressing the challenges of integrating bio-based materials into building codes and standards, which can impede widespread adoption. By overcoming these obstacles, the sustainability and performance of bio-based polyurethane insulation products can be significantly improved.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"212 ","pages":"Article 107906"},"PeriodicalIF":11.2,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420233","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 : 2024-10-02DOI: 10.1016/j.resconrec.2024.107939
Huimin Chang , Jiayi Yuan , Yan Zhao , Valentina Bisinella , Anders Damgaard , Thomas H. Christensen
Thermal technologies have gained increasing attention in sludge management. This study applied life cycle assessment to assess the impacts to climate change of ten technological configurations (TCs) treating sludge with incineration, gasification, and pyrolysis. We used distributions of process parameters for quantifying the associated uncertainties and considered different energy exchanges. In a 55 %-fossil energy system, the TCs with various thermal processes showed impacts to climate change in a wide range of −2000 to 2000 kg CO2 eq/t total solid. A probabilistic comparison indicated that with a 10 %-fossil energy system, TCs with gasification and pyrolysis showed a > 95 % probability of performing better than TCs with incineration. Energy consumption and dewatering parameters contributed significantly to the uncertainty due to their large variation and sensitivity. This study emphasized the potential of optimizing key parameters and provided evidence from a climate change perspective for better technological selection and development in sludge management.
{"title":"Carbon footprints of incineration, pyrolysis, and gasification for sewage sludge treatment","authors":"Huimin Chang , Jiayi Yuan , Yan Zhao , Valentina Bisinella , Anders Damgaard , Thomas H. Christensen","doi":"10.1016/j.resconrec.2024.107939","DOIUrl":"10.1016/j.resconrec.2024.107939","url":null,"abstract":"<div><div>Thermal technologies have gained increasing attention in sludge management. This study applied life cycle assessment to assess the impacts to climate change of ten technological configurations (TCs) treating sludge with incineration, gasification, and pyrolysis. We used distributions of process parameters for quantifying the associated uncertainties and considered different energy exchanges. In a 55 %-fossil energy system, the TCs with various thermal processes showed impacts to climate change in a wide range of −2000 to 2000 kg CO<sub>2</sub> eq/t total solid. A probabilistic comparison indicated that with a 10 %-fossil energy system, TCs with gasification and pyrolysis showed <em>a</em> > 95 % probability of performing better than TCs with incineration. Energy consumption and dewatering parameters contributed significantly to the uncertainty due to their large variation and sensitivity. This study emphasized the potential of optimizing key parameters and provided evidence from a climate change perspective for better technological selection and development in sludge management.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"212 ","pages":"Article 107939"},"PeriodicalIF":11.2,"publicationDate":"2024-10-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420232","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 : 2024-10-01DOI: 10.1016/j.resconrec.2024.107931
Shujuan Liu , Guofang Ding , Ruize Gu , Jianxin Hao , Pengcheng Liu , Wenyong Qin , Yanling Yu , Yu Han , Jianjun Huang , Weihua He
In response to escalating environmental challenges, innovative solutions for collaborative waste management and recycling have become imperative. The eco-friendly microbial electrochemical resource recovery system (EMERS) integrated microbial electrolysis cell and forward osmosis for CO2 capture from flue gas, ammonia and water recovery from wastewater and utilization of industrial wastes. 75 ± 1.8 % of ammonia from wastewater was enriched in MEC's catholyte and 38 % of synchronous water recovery from wastewater was achieved by forward osmosis, realizing multi-cycle recycling of catholyte. The enriched ammonia and CO2 were then recovered by 100 % and 62 % through thermal extraction. The salt brine exhibited high efficiency in ammonia and CO2 absorption, exceeding 90 %, and yielded hydrated basic magnesium carbonate. Additionally, hydrogen, NH4Cl and various carbonate products were also obtained. The EMERS demonstrated a promising strategy for integrated utilization of wastewater, flue gas and industrial waste, achieving pollution and carbon emissions reduction along with resource recovery.
{"title":"Co-capture and recovery of ammonia and CO2 driven by microbial electrolysis system coupling with mineral carbon sequestration by industrial wastes","authors":"Shujuan Liu , Guofang Ding , Ruize Gu , Jianxin Hao , Pengcheng Liu , Wenyong Qin , Yanling Yu , Yu Han , Jianjun Huang , Weihua He","doi":"10.1016/j.resconrec.2024.107931","DOIUrl":"10.1016/j.resconrec.2024.107931","url":null,"abstract":"<div><div>In response to escalating environmental challenges, innovative solutions for collaborative waste management and recycling have become imperative. The eco-friendly microbial electrochemical resource recovery system (EMERS) integrated microbial electrolysis cell and forward osmosis for CO<sub>2</sub> capture from flue gas, ammonia and water recovery from wastewater and utilization of industrial wastes. 75 ± 1.8 % of ammonia from wastewater was enriched in MEC's catholyte and 38 % of synchronous water recovery from wastewater was achieved by forward osmosis, realizing multi-cycle recycling of catholyte. The enriched ammonia and CO<sub>2</sub> were then recovered by 100 % and 62 % through thermal extraction. The salt brine exhibited high efficiency in ammonia and CO<sub>2</sub> absorption, exceeding 90 %, and yielded hydrated basic magnesium carbonate. Additionally, hydrogen, NH<sub>4</sub>Cl and various carbonate products were also obtained. The EMERS demonstrated a promising strategy for integrated utilization of wastewater, flue gas and industrial waste, achieving pollution and carbon emissions reduction along with resource recovery.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"212 ","pages":"Article 107931"},"PeriodicalIF":11.2,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142420231","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 : 2024-09-29DOI: 10.1016/j.resconrec.2024.107932
Pu Li , Feiyun Sun , Ye Dong , Lei Wen , Lin Lin , Xiao-yan LI
The use of aluminum coagulants for drinking water treatment generates a large amount of sludge that is typically destined to landfills, wasting valuable urban land with potential environmental risks. An innovative approach was presented to recycling aluminum-rich sludge from water treatment, alongside coal fly ash, into bricks for construction. By varying fly ash ratios (0–50 %) and firing temperatures (900–1200 °C), optimal conditions were determined: 1050 °C firing temperature and 30 %-50 % fly ash addition. The resulting bricks meet construction material standards, boasting compressive strength (>7 MPa), porosity (15–30 %), water absorption (10–20 %), and permeability (>1.0 × 10−2 cm/s). Incorporating fly ash mitigates shrinkage and crack formation. Organic matter ignition in sludge during brick-making creates a porous structure, ideal for low-impact development like permeable pavements in sponge cities. This method promotes waste reduction, aluminum recycling, heavy metal stabilization, and sustainable urban development, offering a cost-effective solution for safe, permeable bricks.
{"title":"Utilization of drinking water treatment sludge with coal fly ash to make permeable bricks for low impact development","authors":"Pu Li , Feiyun Sun , Ye Dong , Lei Wen , Lin Lin , Xiao-yan LI","doi":"10.1016/j.resconrec.2024.107932","DOIUrl":"10.1016/j.resconrec.2024.107932","url":null,"abstract":"<div><div>The use of aluminum coagulants for drinking water treatment generates a large amount of sludge that is typically destined to landfills, wasting valuable urban land with potential environmental risks. An innovative approach was presented to recycling aluminum-rich sludge from water treatment, alongside coal fly ash, into bricks for construction. By varying fly ash ratios (0–50 %) and firing temperatures (900–1200 °C), optimal conditions were determined: 1050 °C firing temperature and 30 %-50 % fly ash addition. The resulting bricks meet construction material standards, boasting compressive strength (>7 MPa), porosity (15–30 %), water absorption (10–20 %), and permeability (>1.0 × 10<sup>−2</sup> cm/s). Incorporating fly ash mitigates shrinkage and crack formation. Organic matter ignition in sludge during brick-making creates a porous structure, ideal for low-impact development like permeable pavements in sponge cities. This method promotes waste reduction, aluminum recycling, heavy metal stabilization, and sustainable urban development, offering a cost-effective solution for safe, permeable bricks.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"212 ","pages":"Article 107932"},"PeriodicalIF":11.2,"publicationDate":"2024-09-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142359340","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 : 2024-09-27DOI: 10.1016/j.resconrec.2024.107920
Shujun Li , Peng Wang , Qian Zhang , Jiashuo Li , Zhi Cao , Wen Li , Wei-qiang Chen
To combat global climate change requires fast deployment of photovoltaics (PV), especially for Belt and Road Initiative (BRI) countries. However, PV systems are highly material-intensive with significant waste, underscoring the need for high-resolution material stock mapping to enhance future recycling. Here, we develop an integrated framework that combines multi-source geographical data, to monitor PV material stocks at facility level in China during 2010–2019. The results indicate nearly 86 % (108 GW) of installed capacity concentrated in northwest, north, central, and east China in 2019, with total aluminum exceeding 1.8 million tonnes (Mt), followed by silicon at 87 kilo tonnes (kt), copper at 81 kt, and silver at 6 kt, almost half the PV installed capacity (61.4 GW) with 5.6 Mt PV panels are over 50 km from urban areas, emphasizing the necessity of high-resolution PV panel monitoring and its application in managing those emerging but diverse waste sources.
{"title":"Monitoring China's solar power plant in-use stocks and material recycling potentials using multi-source geographical data","authors":"Shujun Li , Peng Wang , Qian Zhang , Jiashuo Li , Zhi Cao , Wen Li , Wei-qiang Chen","doi":"10.1016/j.resconrec.2024.107920","DOIUrl":"10.1016/j.resconrec.2024.107920","url":null,"abstract":"<div><div>To combat global climate change requires fast deployment of photovoltaics (PV), especially for Belt and Road Initiative (BRI) countries. However, PV systems are highly material-intensive with significant waste, underscoring the need for high-resolution material stock mapping to enhance future recycling. Here, we develop an integrated framework that combines multi-source geographical data, to monitor PV material stocks at facility level in China during 2010–2019. The results indicate nearly 86 % (108 GW) of installed capacity concentrated in northwest, north, central, and east China in 2019, with total aluminum exceeding 1.8 million tonnes (Mt), followed by silicon at 87 kilo tonnes (kt), copper at 81 kt, and silver at 6 kt, almost half the PV installed capacity (61.4 GW) with 5.6 Mt PV panels are over 50 km from urban areas, emphasizing the necessity of high-resolution PV panel monitoring and its application in managing those emerging but diverse waste sources.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"212 ","pages":"Article 107920"},"PeriodicalIF":11.2,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142328060","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 : 2024-09-27DOI: 10.1016/j.resconrec.2024.107934
Zilong Xia , Yingjie Li , Shanchuan Guo , Xingang Zhang , Xiaoquan Pan , Hong Fang , Ruishan Chen , Peijun Du
The construction of wind farms, involving road construction and wind turbine installation, severely disrupts natural landscapes. Wind energy expansion in global forested areas has unclear impacts on local forests and ecosystem services. Due to a lack of information on internal road distribution and deployment dates, few studies have assessed forest disturbances caused by wind farms. Environmental issues like vegetation destruction and soil erosion may be overlooked. To address this, we integrated multi-source spaceborne observations to identify deployment dates and road distributions of forest wind farms and mapped related forest disturbances and soil erosion changes. Six global locations were tested, showing over 80 % accuracy. Disturbance intensity ranged from 1.5 to 6.5 ha/MW, with NDVI decreasing by 0.03 to 0.33 in disturbed forest regions. The average soil erosion increase per unit area due to road construction ranged from 24.74 to 274.33 t/hm−1a−1, while wind turbine construction caused an average soil erosion increase ranging from 26.52 to 26.52 to 263.46 t/hm−1a−1. Road construction is the primary cause of forest disturbance, with greater soil erosion increases in mountainous than in plain forests. This method enhances monitoring and understanding of wind farms' environmental impacts.
{"title":"Assessment of forest disturbance and soil erosion in wind farm project using satellite observations","authors":"Zilong Xia , Yingjie Li , Shanchuan Guo , Xingang Zhang , Xiaoquan Pan , Hong Fang , Ruishan Chen , Peijun Du","doi":"10.1016/j.resconrec.2024.107934","DOIUrl":"10.1016/j.resconrec.2024.107934","url":null,"abstract":"<div><div>The construction of wind farms, involving road construction and wind turbine installation, severely disrupts natural landscapes. Wind energy expansion in global forested areas has unclear impacts on local forests and ecosystem services. Due to a lack of information on internal road distribution and deployment dates, few studies have assessed forest disturbances caused by wind farms. Environmental issues like vegetation destruction and soil erosion may be overlooked. To address this, we integrated multi-source spaceborne observations to identify deployment dates and road distributions of forest wind farms and mapped related forest disturbances and soil erosion changes. Six global locations were tested, showing over 80 % accuracy. Disturbance intensity ranged from 1.5 to 6.5 ha/MW, with NDVI decreasing by 0.03 to 0.33 in disturbed forest regions. The average soil erosion increase per unit area due to road construction ranged from 24.74 to 274.33 t/hm<sup>−1</sup> <em>a</em><sup>−1</sup>, while wind turbine construction caused an average soil erosion increase ranging from 26.52 to 26.52 to 263.46 t/hm<sup>−1</sup> <em>a</em><sup>−1</sup>. Road construction is the primary cause of forest disturbance, with greater soil erosion increases in mountainous than in plain forests. This method enhances monitoring and understanding of wind farms' environmental impacts.</div></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":"212 ","pages":"Article 107934"},"PeriodicalIF":11.2,"publicationDate":"2024-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142328061","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}
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