Pub Date : 2024-11-17DOI: 10.1016/j.jclepro.2024.144239
Qiyang Nie, Tong Liu
Public complaints about water pollution are important indicators of public environmental risk perception and provide crucial feedback for evaluating the effectiveness of water resource management strategies. This study conducts a comprehensive analysis of water pollution complaint in Japan from 1989 to 2021, utilizing integrated datasets that include river networks, water quality monitoring stations, regional industrial demographics, and socioeconomic indicators. Our findings reveal a significant decline in complaints—over 45% from the peak in 2006—following the implementation of various environmental policies aimed at reducing industrial discharge and restoring natural ecosystem function. The shift in complaint targets from industries to individuals suggests that these policies have been effective in mitigating industrial pollution, while also highlighting the need to address individual behaviors that impact water quality. Despite long-term improvement in water quality indicators such as Suspended Solids (SS) and Dissolved Oxygen (DO), no significant correlation was observed between these indicators and the temporal or spatial patterns of water pollution complaints. Instead, a strong positive correlation was observed between complaints and reported water quality incidents, reflecting heightened public sensitivity to acute pollution events. Spatial analysis further identified a significant association between complaints and the manufacturing workforce, indicating that industrial activity continues to shape public perception of water pollution risks. Our findings underscore the complex interaction between public perception, environmental policies, and industrial activities, and suggest that effective water management requires a multifaceted approach. Policymakers should continue to enforce stringent industrial regulations, while also enhancing public education and communication strategies to improve awareness of individual responsibilities in water protection. This research provides a theoretical basis for developing more responsive and effective environmental policies and public education strategies.
{"title":"Public Complaints of Water Pollution: A Long-term Spatiotemporal Analysis in Japan","authors":"Qiyang Nie, Tong Liu","doi":"10.1016/j.jclepro.2024.144239","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144239","url":null,"abstract":"Public complaints about water pollution are important indicators of public environmental risk perception and provide crucial feedback for evaluating the effectiveness of water resource management strategies. This study conducts a comprehensive analysis of water pollution complaint in Japan from 1989 to 2021, utilizing integrated datasets that include river networks, water quality monitoring stations, regional industrial demographics, and socioeconomic indicators. Our findings reveal a significant decline in complaints—over 45% from the peak in 2006—following the implementation of various environmental policies aimed at reducing industrial discharge and restoring natural ecosystem function. The shift in complaint targets from industries to individuals suggests that these policies have been effective in mitigating industrial pollution, while also highlighting the need to address individual behaviors that impact water quality. Despite long-term improvement in water quality indicators such as Suspended Solids (SS) and Dissolved Oxygen (DO), no significant correlation was observed between these indicators and the temporal or spatial patterns of water pollution complaints. Instead, a strong positive correlation was observed between complaints and reported water quality incidents, reflecting heightened public sensitivity to acute pollution events. Spatial analysis further identified a significant association between complaints and the manufacturing workforce, indicating that industrial activity continues to shape public perception of water pollution risks. Our findings underscore the complex interaction between public perception, environmental policies, and industrial activities, and suggest that effective water management requires a multifaceted approach. Policymakers should continue to enforce stringent industrial regulations, while also enhancing public education and communication strategies to improve awareness of individual responsibilities in water protection. This research provides a theoretical basis for developing more responsive and effective environmental policies and public education strategies.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"18 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142665236","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 : 2024-11-17DOI: 10.1016/j.jclepro.2024.144253
Wenju Cheng, Huiyong Yin, Daolei Xie, Fangying Dong, Yongjie Li, Teng Zhu, Ji Wang
Coal mining disturbs the roof overlying rock, forming a channel for roof water inrush. This process destroys the primary seepage state of the deep aquifer, resulting in waste and pollution of deep water resources and posing a significant threat to coal mining. Therefore, through field measurement and numerical simulation, this paper comprehensively analyzes the development law of coal seam mining overlying rock fracture, and determines the influence range of coal seam roof water inrush. Then, a set pair variable weight - forward associated cloud prediction model is constructed to predict the dominant water inrush window and seepage channel of coal seam roof, and the key protection area of coal mining roof water inrush is delineated. The results show that with the continuous advance of the coal face, the stress shifts to both sides of the face, forming a stress concentration area, and the vertical fissure develops intensively, which becomes the main channel of water inrush. After the development is stable, it is comprehensively determined that the fissure production ratio of the coal seam is 11.7, and the fracture zone extends to the aquifer area are the water inrush source. Then, through the prediction model, the edge of the danger area near the high-risk area is defined as the advantage window of coal seam roof water inrush, and the result is consistent with the actual water inrush event. Therefore, the target of water inrush in roof is determined, and the effective measures of water reduction mining are put forward. This study is of great significance for protecting deep water resources, ensuring mine safety, and creating efficiency and increasing income.
{"title":"Prediction of Dominant Roof Water Inrush Windows and Analysis of Control Target Area based on Set Pair Variable Weight - Forward Correlation Cloud Model","authors":"Wenju Cheng, Huiyong Yin, Daolei Xie, Fangying Dong, Yongjie Li, Teng Zhu, Ji Wang","doi":"10.1016/j.jclepro.2024.144253","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144253","url":null,"abstract":"Coal mining disturbs the roof overlying rock, forming a channel for roof water inrush. This process destroys the primary seepage state of the deep aquifer, resulting in waste and pollution of deep water resources and posing a significant threat to coal mining. Therefore, through field measurement and numerical simulation, this paper comprehensively analyzes the development law of coal seam mining overlying rock fracture, and determines the influence range of coal seam roof water inrush. Then, a set pair variable weight - forward associated cloud prediction model is constructed to predict the dominant water inrush window and seepage channel of coal seam roof, and the key protection area of coal mining roof water inrush is delineated. The results show that with the continuous advance of the coal face, the stress shifts to both sides of the face, forming a stress concentration area, and the vertical fissure develops intensively, which becomes the main channel of water inrush. After the development is stable, it is comprehensively determined that the fissure production ratio of the coal seam is 11.7, and the fracture zone extends to the aquifer area are the water inrush source. Then, through the prediction model, the edge of the danger area near the high-risk area is defined as the advantage window of coal seam roof water inrush, and the result is consistent with the actual water inrush event. Therefore, the target of water inrush in roof is determined, and the effective measures of water reduction mining are put forward. This study is of great significance for protecting deep water resources, ensuring mine safety, and creating efficiency and increasing income.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"248 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645889","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}
Arsenic contamination in water threatens millions of people globally, demanding the development of sustainable and effective remediation strategies. This work investigates the removal of As(V) using Fe-modified biochar derived from de-oiled Mentha waste (MMBC). The study aimed to synthesize MMBC and evaluate its adsorption capacity; secondly, to investigate adsorption kinetics; and lastly, to elucidate the governing mechanisms behind the process. Proximate analysis revealed MMBC's stability (low moisture: 6.48%, high fixed carbon: 54.7%) and high adsorption potential (low volatile matter: 9.77%). Characterization techniques (SEM-EDX, XRD, FTIR, TGA) confirmed a desirable porous structure, favourable chemical composition, and surface functionality critical for As(V) adsorption. Importantly, MMBC exhibited a significantly larger surface area providing more active sites (378.08 m2 g⁻1) as compared to the unmodified biochar. Concerning operational conditions, the optimal As(V) removal was achieved at pH 7.5 with a 25 mg/50 mL MMBC dosage in a 24 h contact time. Further, kinetic modelling indicated a pseudo-second-order mechanism, suggesting chemisorption as the dominant process. However, isotherm studies revealed favourable multilayer adsorption, with the Freundlich model best describing the data. The combined effects of MMBC's porosity, functional groups, and Fe modification facilitated both physical and chemical adsorption mechanisms. These findings highlight MMBC's potential as a promising biochar-based adsorbent for efficient As(V) removal from contaminated water for sustainable remediation.
{"title":"Arsenic Removal using De-oiled Mentha Biomass Biochar: Adsorption Kinetics and the Role of Iron Modification","authors":"Sampurna Nand, Saroj Kumar, Bhanu Pratap, Divya Dubey, Mariya Naseem, Anju Patel, Siddharth Shukla, Pankaj Kumar Srivastava","doi":"10.1016/j.jclepro.2024.144247","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144247","url":null,"abstract":"Arsenic contamination in water threatens millions of people globally, demanding the development of sustainable and effective remediation strategies. This work investigates the removal of As(V) using Fe-modified biochar derived from de-oiled Mentha waste (MMBC). The study aimed to synthesize MMBC and evaluate its adsorption capacity; secondly, to investigate adsorption kinetics; and lastly, to elucidate the governing mechanisms behind the process. Proximate analysis revealed MMBC's stability (low moisture: 6.48%, high fixed carbon: 54.7%) and high adsorption potential (low volatile matter: 9.77%). Characterization techniques (SEM-EDX, XRD, FTIR, TGA) confirmed a desirable porous structure, favourable chemical composition, and surface functionality critical for As(V) adsorption. Importantly, MMBC exhibited a significantly larger surface area providing more active sites (378.08 m<sup>2</sup> g⁻<sup>1</sup>) as compared to the unmodified biochar. Concerning operational conditions, the optimal As(V) removal was achieved at pH 7.5 with a 25 mg/50 mL MMBC dosage in a 24 h contact time. Further, kinetic modelling indicated a pseudo-second-order mechanism, suggesting chemisorption as the dominant process. However, isotherm studies revealed favourable multilayer adsorption, with the Freundlich model best describing the data. The combined effects of MMBC's porosity, functional groups, and Fe modification facilitated both physical and chemical adsorption mechanisms. These findings highlight MMBC's potential as a promising biochar-based adsorbent for efficient As(V) removal from contaminated water for sustainable remediation.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"32 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142645887","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 : 2024-11-16DOI: 10.1016/j.jclepro.2024.144238
Yingjian Su, Zhixin Wu, Jia Liu
The dynamic coordination of Distributed Energy Resources (DERs) and price-responsive demands, orchestrated as a Virtual Power Plant (VPP), stands as a pivotal challenge in the electricity industry. This paper presents a novel contribution through the application of stochastic–robust optimization to address the intricate uncertainties associated with stochastic DERs, fluctuating energy prices, and varying Micro-Grid (MG) component availability. Leveraging smart grid technology enables real-time monitoring of the VPP, facilitating dynamic adjustments to energy management decisions in response to uncertainties. The focus is on maximizing the financial profit of the VPP, achieved through seamless integration of solar power stations, storage units, and price-responsive demands within a MG. The paper employs interval- and scenario-based forecasting to systematically model continuous random variables (e.g., energy price and solar generation) and discrete random variables (e.g., MG component availability). Through an in-depth case study, the proposed stochastic–robust optimization is rigorously analyzed, demonstrating superior performance, particularly during contingencies on days with highly volatile energy prices. This research provides valuable insights and a robust framework for navigating the intricate landscape of VPP energy management amid evolving industry dynamics and technological advancements. The stochastic robust model obtained in average 12.5% more profit in comparison with other models. Moreover, regarding the conditional value at risk in the healthy condition of MG, the profit reduced about 43.7% and 12.6% compared to deterministic with confidence levels 85% and 95%, respectively.
{"title":"Towards Financial Resilience: Smart Energy Management in Virtual Power Plants using Stochastic–Robust Optimization","authors":"Yingjian Su, Zhixin Wu, Jia Liu","doi":"10.1016/j.jclepro.2024.144238","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144238","url":null,"abstract":"The dynamic coordination of Distributed Energy Resources (DERs) and price-responsive demands, orchestrated as a Virtual Power Plant (VPP), stands as a pivotal challenge in the electricity industry. This paper presents a novel contribution through the application of stochastic–robust optimization to address the intricate uncertainties associated with stochastic DERs, fluctuating energy prices, and varying Micro-Grid (MG) component availability. Leveraging smart grid technology enables real-time monitoring of the VPP, facilitating dynamic adjustments to energy management decisions in response to uncertainties. The focus is on maximizing the financial profit of the VPP, achieved through seamless integration of solar power stations, storage units, and price-responsive demands within a MG. The paper employs interval- and scenario-based forecasting to systematically model continuous random variables (e.g., energy price and solar generation) and discrete random variables (e.g., MG component availability). Through an in-depth case study, the proposed stochastic–robust optimization is rigorously analyzed, demonstrating superior performance, particularly during contingencies on days with highly volatile energy prices. This research provides valuable insights and a robust framework for navigating the intricate landscape of VPP energy management amid evolving industry dynamics and technological advancements. The stochastic robust model obtained in average 12.5% more profit in comparison with other models. Moreover, regarding the conditional value at risk in the healthy condition of MG, the profit reduced about 43.7% and 12.6% compared to deterministic with confidence levels 85% and 95%, respectively.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"165 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642806","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 : 2024-11-16DOI: 10.1016/j.jclepro.2024.144220
Chuanbin Liang, Shichao Chen, Wenfeng Liu, Taisheng Du
Growing lignocellulosic feedstock on marginal land is one of the attractive ways to achieve China's goals of sustainable development and carbon neutrality while transforming its energy structure. The expansive use of nationally distributed and heterogeneous marginal lands is prone to widespread concerns about sustainability risks at all stages. We utilised a productivity-based suitability index to classify marginal land and examined net energy value (NEV) and greenhouse gas (GHG) emissions under various marginal land development scenarios through extending system boundary from input of field production to energy consumption. We found that marginal lands with high suitability are concentrated in the Northeast, East, and Central China, while marginal lands in the Northwest and Southwest are generally unsuitable for bioenergy crops. The seed and chemical inputs in agricultural production and the enzyme and electricity consumption in ethanol production account for 79∼89% of the total energy inputs, while GHG emissions are dominated by the nitrogen fertilizers to marginal land and electricity consumption in ethanol production. Half of the NEV and reduction in GHG emissions can be obtained by only developing high suitability marginal area, which account for 25% and 14% of the total available marginal land under low and high input scenarios. Whereas, low-yielding fields concentrated in the Southwest can bring serious negative environmental returns. Assessing the suitability of marginal land can help identify promising pathways for ensuring sustainable development.
{"title":"Ensuring energy profitability and environmental sustainability through assessing marginal land suitability in China","authors":"Chuanbin Liang, Shichao Chen, Wenfeng Liu, Taisheng Du","doi":"10.1016/j.jclepro.2024.144220","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144220","url":null,"abstract":"Growing lignocellulosic feedstock on marginal land is one of the attractive ways to achieve China's goals of sustainable development and carbon neutrality while transforming its energy structure. The expansive use of nationally distributed and heterogeneous marginal lands is prone to widespread concerns about sustainability risks at all stages. We utilised a productivity-based suitability index to classify marginal land and examined net energy value (NEV) and greenhouse gas (GHG) emissions under various marginal land development scenarios through extending system boundary from input of field production to energy consumption. We found that marginal lands with high suitability are concentrated in the Northeast, East, and Central China, while marginal lands in the Northwest and Southwest are generally unsuitable for bioenergy crops. The seed and chemical inputs in agricultural production and the enzyme and electricity consumption in ethanol production account for 79∼89% of the total energy inputs, while GHG emissions are dominated by the nitrogen fertilizers to marginal land and electricity consumption in ethanol production. Half of the NEV and reduction in GHG emissions can be obtained by only developing high suitability marginal area, which account for 25% and 14% of the total available marginal land under low and high input scenarios. Whereas, low-yielding fields concentrated in the Southwest can bring serious negative environmental returns. Assessing the suitability of marginal land can help identify promising pathways for ensuring sustainable development.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"8 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642807","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 : 2024-11-16DOI: 10.1016/j.jclepro.2024.144197
Sonali Katoch, Anjani Kumar, Deepthi E. Kolady, Kriti Sharma
This study examines the adoption and economic impact of compliance with food safety measures (FSM) using cross-sectional farm-level data from three key states in the Indo-Gangetic Plains, Bihar, Punjab, and Uttar Pradesh, in 2023. The majority of the farmers were operating on marginal and small plots. A Food Safety Index (FSI) derived from 71 distinct practices was used as a quantitative measure of adoption of compliance with FSM. The study assigns 0.60, 0.23, and 0.17 weights to microbiological, physical, and chemical safety measures, respectively, to derive FSI. Determinants of compliance with FSM were analysed using multiple linear regression and ordered logistic model, while Generalized propensity score (GPS) was used to assess the economic impact of compliance with FSM on farm-level performance indicators. The findings indicate that farmers are adopting a moderate level (0.48–0.58) of the FSI. Various socio-economic and demographic factors, such as education, income, marketing channel, training exposure, awareness level, and infrastructure, significantly influence the adoption of FSM. The impact assessment reveals that compliance with FSM correlates with milk prices, productivity, and profitability. However, a lower level of compliance may not yield significant improvements in milk productivity. The study suggests incentivization through pricing reforms, improving infrastructure, strengthening formal marketing channels, and raising awareness through training.
{"title":"Compliance with food safety measures and their economic impact on smallholder dairy farmers: Evidence from the Indo-Gangetic Plains of India","authors":"Sonali Katoch, Anjani Kumar, Deepthi E. Kolady, Kriti Sharma","doi":"10.1016/j.jclepro.2024.144197","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144197","url":null,"abstract":"This study examines the adoption and economic impact of compliance with food safety measures (FSM) using cross-sectional farm-level data from three key states in the Indo-Gangetic Plains, Bihar, Punjab, and Uttar Pradesh, in 2023. The majority of the farmers were operating on marginal and small plots. A Food Safety Index (FSI) derived from 71 distinct practices was used as a quantitative measure of adoption of compliance with FSM. The study assigns 0.60, 0.23, and 0.17 weights to microbiological, physical, and chemical safety measures, respectively, to derive FSI. Determinants of compliance with FSM were analysed using multiple linear regression and ordered logistic model, while Generalized propensity score (GPS) was used to assess the economic impact of compliance with FSM on farm-level performance indicators. The findings indicate that farmers are adopting a moderate level (0.48–0.58) of the FSI. Various socio-economic and demographic factors, such as education, income, marketing channel, training exposure, awareness level, and infrastructure, significantly influence the adoption of FSM. The impact assessment reveals that compliance with FSM correlates with milk prices, productivity, and profitability. However, a lower level of compliance may not yield significant improvements in milk productivity. The study suggests incentivization through pricing reforms, improving infrastructure, strengthening formal marketing channels, and raising awareness through training.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"21 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642772","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 : 2024-11-16DOI: 10.1016/j.jclepro.2024.144236
Jin Pan, Kun Feng, Mingjin Li, Wenjie Xing, Xingyu Deng, Chenjie Chao
Using alkali-activated slag ultra-low carbon concrete (AAS-ULCC) for manufacturing segments offers a novel approach to reducing carbon emissions in shield tunnels. However, the inherent high shrinkage and brittleness of AAS-ULCC could potentially impact the safety and durability of tunnel structures. This study focusses on optimising AAS-ULCC to enhance its suitability for segment structures in shield tunnels. Steel fibres were incorporated to prepare steel fibre-reinforced alkali-activated slag ultra-low carbon concrete (SF-AAS-ULCC), and the impact of varying the length and volume fraction (Vf) of steel fibres on the long-term mechanical properties, shrinkage, and durability of AAS-ULCC was systematically investigated. The findings indicate that adding 1.5% Vf of steel fibres significantly reduced the slump of AAS-ULCC. As the Vf of steel fibres increased, there was a corresponding increase in compressive strength, axial compressive strength, splitting tensile strength, flexural strength, and resistance to sulfate attack in SF-AAS-ULCC. Additionally, the failure mode of SF-AAS-ULCC shifted from brittle to multiple-crack ductile failure. Both autogenous and drying shrinkage of SF-AAS-ULCC were reduced. Analysis using X-ray computed tomography (X-CT) and scanning electron microscopy (SEM) revealed that the steel fibres are tightly bonded with the matrix, and the inclusion of steel fibres decreased the porosity of the matrix and effectively inhibited the development of micro-cracks. The research outcomes offer reliable experimental data for promoting the application of AAS-ULCC in segment production, thereby contributing to the reduction of carbon emissions in the tunnel construction sector.
{"title":"Performance optimisation of alkali-activated slag ultra-low carbon concrete (AAS-ULCC) for shield tunnel segments by steel fibres","authors":"Jin Pan, Kun Feng, Mingjin Li, Wenjie Xing, Xingyu Deng, Chenjie Chao","doi":"10.1016/j.jclepro.2024.144236","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144236","url":null,"abstract":"Using alkali-activated slag ultra-low carbon concrete (AAS-ULCC) for manufacturing segments offers a novel approach to reducing carbon emissions in shield tunnels. However, the inherent high shrinkage and brittleness of AAS-ULCC could potentially impact the safety and durability of tunnel structures. This study focusses on optimising AAS-ULCC to enhance its suitability for segment structures in shield tunnels. Steel fibres were incorporated to prepare steel fibre-reinforced alkali-activated slag ultra-low carbon concrete (SF-AAS-ULCC), and the impact of varying the length and volume fraction (<em>V</em><sub><em>f</em></sub>) of steel fibres on the long-term mechanical properties, shrinkage, and durability of AAS-ULCC was systematically investigated. The findings indicate that adding 1.5% <em>V</em><sub><em>f</em></sub> of steel fibres significantly reduced the slump of AAS-ULCC. As the <em>V</em><sub><em>f</em></sub> of steel fibres increased, there was a corresponding increase in compressive strength, axial compressive strength, splitting tensile strength, flexural strength, and resistance to sulfate attack in SF-AAS-ULCC. Additionally, the failure mode of SF-AAS-ULCC shifted from brittle to multiple-crack ductile failure. Both autogenous and drying shrinkage of SF-AAS-ULCC were reduced. Analysis using X-ray computed tomography (X-CT) and scanning electron microscopy (SEM) revealed that the steel fibres are tightly bonded with the matrix, and the inclusion of steel fibres decreased the porosity of the matrix and effectively inhibited the development of micro-cracks. The research outcomes offer reliable experimental data for promoting the application of AAS-ULCC in segment production, thereby contributing to the reduction of carbon emissions in the tunnel construction sector.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"38 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642774","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 : 2024-11-16DOI: 10.1016/j.jclepro.2024.144241
Jeremy Gabriel Uy, Jayne Lois San Juan
Sustainable aviation fuel (SAF) contributes to 65% of all efforts from the airline industry to mitigate carbon emissions. Nonetheless, studies yet to consider SAF in fuel loading problems for environmental benefit. Additionally, book-and-claim is not considered in current optimization studies for airlines to have an option to virtually purchase SAF when it is not available or too expensive in a location to offset carbon emissions. An optimization model is developed for an airline fuel loading decision support system that considers SAF by optimizing cost and environmental impacts simultaneously, integrating the strategies and policies for implementing the use of SAF. A case study was used to test the model to understand its behaviour. Scenario analyses were conducted to highlight potential economic and environmental benefits from optimally managing SAF and book-and-claim. The developed model demonstrates a 17.16% decrease in environmental impact considering a maximum SAF blend of 10%, which highlights the potential of SAF to decarbonize the aviation industry. Mandates set by the government are helpful as airlines tend to result to fuel tankering when fuel costs are high. Book-and-claim is helpful when SAF is expensive in certain airports as airlines can virtually purchase SAF to save on costs.
可持续航空燃料（SAF）占航空业减少碳排放努力的 65%。然而，有关研究尚未考虑在燃料装载问题中使用 SAF 以实现环境效益。此外，在目前的优化研究中，还没有考虑让航空公司在某地没有可抵消碳排放的 SAF 或 SAF 太贵时，可以选择虚拟购买 SAF。为航空公司燃油装载决策支持系统开发了一个优化模型，该系统通过同时优化成本和环境影响来考虑 SAF，并整合了使用 SAF 的策略和政策。利用案例研究对模型进行了测试，以了解其行为。还进行了情景分析，以突出优化管理 SAF 和账面索赔的潜在经济和环境效益。所开发的模型显示，考虑到最高混合 SAF 为 10%，对环境的影响减少了 17.16%，这凸显了 SAF 在航空业去碳化方面的潜力。政府制定的规定很有帮助，因为当燃料成本较高时，航空公司倾向于使用油箱。当某些机场的 SAF 价格昂贵时，"即订即领 "服务很有帮助，因为航空公司实际上可以购买 SAF 以节省成本。
{"title":"Multi-objective optimization of airline fuel loading problem considering sustainable aviation fuel and book-and-claim","authors":"Jeremy Gabriel Uy, Jayne Lois San Juan","doi":"10.1016/j.jclepro.2024.144241","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144241","url":null,"abstract":"Sustainable aviation fuel (SAF) contributes to 65% of all efforts from the airline industry to mitigate carbon emissions. Nonetheless, studies yet to consider SAF in fuel loading problems for environmental benefit. Additionally, book-and-claim is not considered in current optimization studies for airlines to have an option to virtually purchase SAF when it is not available or too expensive in a location to offset carbon emissions. An optimization model is developed for an airline fuel loading decision support system that considers SAF by optimizing cost and environmental impacts simultaneously, integrating the strategies and policies for implementing the use of SAF. A case study was used to test the model to understand its behaviour. Scenario analyses were conducted to highlight potential economic and environmental benefits from optimally managing SAF and book-and-claim. The developed model demonstrates a 17.16% decrease in environmental impact considering a maximum SAF blend of 10%, which highlights the potential of SAF to decarbonize the aviation industry. Mandates set by the government are helpful as airlines tend to result to fuel tankering when fuel costs are high. Book-and-claim is helpful when SAF is expensive in certain airports as airlines can virtually purchase SAF to save on costs.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"46 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642808","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 : 2024-11-15DOI: 10.1016/j.jclepro.2024.144215
Brahim Bergougui, Reda Hamza Boudjana, Samer Mehibel, Manuel A. Zambrano-Monserrate
Carbon emissions inequality (CE-I) represents a significant obstacle to achieving sustainable development and social equity, highlighting the unequal distribution of environmental burdens and benefits among nations. To address this issue effectively, it is important to consider how institutional factors and economic conditions contribute to these disparities. This paper investigates the asymmetric impact of institutional quality (IQ) and income on CE-I, employing a Quantile-on-Quantile Regression (QQR) approach applied to six major global emitters—China, the United States, Germany, India, Russia, and Japan—from 1995 to 2019. The QQR method enables a detailed examination of how these relationships vary across different quantiles of the data, providing insights beyond those of traditional regression models. The findings reveal a non-linear relationship in which improvements in IQ generally decrease CE-I, particularly in contexts of weak governance; however, diminishing returns are observed at higher IQ levels. Income exhibits an inverted U-shaped effect on CE-I, where economic growth initially increases emissions inequality but moderates it at higher income levels. Robustness checks employing quantile Granger causality tests, quantile regression, and Kernel-based regularized least squares demonstrate that both institutional quality and income levels play significant roles in shaping CE-I patterns. Based on these findings, specific policy actions are recommended: in contexts of weak governance, policies should prioritize strengthening IQ to reduce CE-I, while in high-income countries, efforts should focus on promoting equitable income distribution to manage the growth-inequality relationship. Targeted interventions are essential to ensuring both environmental sustainability and social justice in reducing CE-I.
{"title":"How do institutional quality and income asymmetrically affect carbon emissions inequality? A Quantile-on-Quantile assessment for six major global emitters","authors":"Brahim Bergougui, Reda Hamza Boudjana, Samer Mehibel, Manuel A. Zambrano-Monserrate","doi":"10.1016/j.jclepro.2024.144215","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144215","url":null,"abstract":"Carbon emissions inequality (CE-I) represents a significant obstacle to achieving sustainable development and social equity, highlighting the unequal distribution of environmental burdens and benefits among nations. To address this issue effectively, it is important to consider how institutional factors and economic conditions contribute to these disparities. This paper investigates the asymmetric impact of institutional quality (IQ) and income on CE-I, employing a Quantile-on-Quantile Regression (QQR) approach applied to six major global emitters—China, the United States, Germany, India, Russia, and Japan—from 1995 to 2019. The QQR method enables a detailed examination of how these relationships vary across different quantiles of the data, providing insights beyond those of traditional regression models. The findings reveal a non-linear relationship in which improvements in IQ generally decrease CE-I, particularly in contexts of weak governance; however, diminishing returns are observed at higher IQ levels. Income exhibits an inverted U-shaped effect on CE-I, where economic growth initially increases emissions inequality but moderates it at higher income levels. Robustness checks employing quantile Granger causality tests, quantile regression, and Kernel-based regularized least squares demonstrate that both institutional quality and income levels play significant roles in shaping CE-I patterns. Based on these findings, specific policy actions are recommended: in contexts of weak governance, policies should prioritize strengthening IQ to reduce CE-I, while in high-income countries, efforts should focus on promoting equitable income distribution to manage the growth-inequality relationship. Targeted interventions are essential to ensuring both environmental sustainability and social justice in reducing CE-I.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"8 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642813","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 : 2024-11-15DOI: 10.1016/j.jclepro.2024.144224
Edward Martey, Prince M. Etwire, John K.M. Kuwornu, Mustapha M. Suraj
Integrated Soil Fertility Management (ISFM) is promoted as a sustainable approach to enhance farm productivity and ensure a reliable food supply. This study examines the association between ISFM, maize yield, income, total asset value, and food security using a quasi-experimental approach, drawing on data from 966 farm households in Ghana. The results show that ISFM adoption increases crop yield by 878 kg/ha, income by $453, and total asset value by $765. Regarding food intake, ISFM adoption boosts the consumption of calories, proteins, and fats during food-scarce periods by 2,406 kcal/day, 52 kg/day, and 90 kg/day, respectively. Consistent with extensive margin findings, the intensity of ISFM adoption is positively correlated with yield, income, total asset value, and food security. However, increasing the number of ISFM practices does not necessarily lead to higher outcomes, as it may be associated with higher labour costs. These results are robust across various model specifications and combinations of ISFM practices. Sustaining the welfare gains from ISFM adoption will require improved access to agricultural production information from research institutions.
{"title":"Micro-level welfare effects of integrated soil fertility management in northern Ghana","authors":"Edward Martey, Prince M. Etwire, John K.M. Kuwornu, Mustapha M. Suraj","doi":"10.1016/j.jclepro.2024.144224","DOIUrl":"https://doi.org/10.1016/j.jclepro.2024.144224","url":null,"abstract":"Integrated Soil Fertility Management (ISFM) is promoted as a sustainable approach to enhance farm productivity and ensure a reliable food supply. This study examines the association between ISFM, maize yield, income, total asset value, and food security using a quasi-experimental approach, drawing on data from 966 farm households in Ghana. The results show that ISFM adoption increases crop yield by 878 kg/ha, income by $453, and total asset value by $765. Regarding food intake, ISFM adoption boosts the consumption of calories, proteins, and fats during food-scarce periods by 2,406 kcal/day, 52 kg/day, and 90 kg/day, respectively. Consistent with extensive margin findings, the intensity of ISFM adoption is positively correlated with yield, income, total asset value, and food security. However, increasing the number of ISFM practices does not necessarily lead to higher outcomes, as it may be associated with higher labour costs. These results are robust across various model specifications and combinations of ISFM practices. Sustaining the welfare gains from ISFM adoption will require improved access to agricultural production information from research institutions.","PeriodicalId":349,"journal":{"name":"Journal of Cleaner Production","volume":"165 1","pages":""},"PeriodicalIF":11.1,"publicationDate":"2024-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142642815","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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