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Multitemporal river flow discharge prediction: A new framework for integrated environmental management and flood control
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-04-24 DOI: 10.1016/j.jenvman.2025.125372
Victor Joubier , Isa Ebtehaj , Afshin Amiri , Silvio Jose Gumiere , Hossein Bonakdari
Riverine flow estimation is critical for effective water resource management and mitigation planning. Traditional machine learning and deep learning models offer various advantages, but their effectiveness in multitemporal river flow discharge estimation has yet to be fully explored. This study introduces an advanced universal group method of data handling (AUGMDH) model to predict river flow discharge across various temporal scales. The accuracy of the proposed model is compared with that of convolutional neural network (CNN) models in terms of estimating daily, mean monthly, and maximum monthly flow discharge. The AUGMDH model consistently outperforms the CNN models across all major performance metrics, such as the coefficient of determination (R2), Nash-Sutcliffe efficiency (NSE), normalized root mean square error (NRMSE), RMSE-observed standard deviation ratio (RSR), and percent bias (PBIAS), achieving an R2 of 0.972 and an NSE of 0.972 for the daily flow, an R2 of 0.810 and an NSE of 0.810 for the mean monthly flow, and an R2 of 0.819 and an NSE of 0.818 for the maximum monthly flow. Additionally, compared to the CNN approach, the AUGMDH model yields lower AIC values across all the cases (AIC: 37,744 for daily, 2144 for mean monthly, and 2543 for maximum monthly), indicating a better balance between simplicity and accuracy. In terms of uncertainty analysis, the AUGMDH model exhibits lower uncertainty values (i.e., 2.77 for daily flow, 2.31 for mean monthly flow, and 2.46 for maximum monthly flow estimates) than the CNN models do (i.e., 2.78 for daily flow, 2.48 mean monthly flow, and 2.66 for maximum monthly flow estimates). The findings indicate that the AUGMDH model provides a more robust and reliable solution for riverine flood estimation, outperforming the CNN models across all major performance metrics, including accuracy, reliability, and computational efficiency.
{"title":"Multitemporal river flow discharge prediction: A new framework for integrated environmental management and flood control","authors":"Victor Joubier ,&nbsp;Isa Ebtehaj ,&nbsp;Afshin Amiri ,&nbsp;Silvio Jose Gumiere ,&nbsp;Hossein Bonakdari","doi":"10.1016/j.jenvman.2025.125372","DOIUrl":"10.1016/j.jenvman.2025.125372","url":null,"abstract":"<div><div>Riverine flow estimation is critical for effective water resource management and mitigation planning. Traditional machine learning and deep learning models offer various advantages, but their effectiveness in multitemporal river flow discharge estimation has yet to be fully explored. This study introduces an advanced universal group method of data handling (AUGMDH) model to predict river flow discharge across various temporal scales. The accuracy of the proposed model is compared with that of convolutional neural network (CNN) models in terms of estimating daily, mean monthly, and maximum monthly flow discharge. The AUGMDH model consistently outperforms the CNN models across all major performance metrics, such as the coefficient of determination (R<sup>2</sup>), Nash-Sutcliffe efficiency (NSE), normalized root mean square error (NRMSE), RMSE-observed standard deviation ratio (RSR), and percent bias (PBIAS), achieving an R<sup>2</sup> of 0.972 and an NSE of 0.972 for the daily flow, an R<sup>2</sup> of 0.810 and an NSE of 0.810 for the mean monthly flow, and an R<sup>2</sup> of 0.819 and an NSE of 0.818 for the maximum monthly flow. Additionally, compared to the CNN approach, the AUGMDH model yields lower AIC values across all the cases (AIC: 37,744 for daily, 2144 for mean monthly, and 2543 for maximum monthly), indicating a better balance between simplicity and accuracy. In terms of uncertainty analysis, the AUGMDH model exhibits lower uncertainty values (i.e., 2.77 for daily flow, 2.31 for mean monthly flow, and 2.46 for maximum monthly flow estimates) than the CNN models do (i.e., 2.78 for daily flow, 2.48 mean monthly flow, and 2.66 for maximum monthly flow estimates). The findings indicate that the AUGMDH model provides a more robust and reliable solution for riverine flood estimation, outperforming the CNN models across all major performance metrics, including accuracy, reliability, and computational efficiency.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125372"},"PeriodicalIF":8.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Thermodynamics-guided design for lightweight aggregate production from waste glass and incinerated sewage sludge ash
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-04-24 DOI: 10.1016/j.jenvman.2025.125482
Yujie Huang , Ying Wei , Ziwei Chen , Weiyi Ji , Zuwang Bian , Jian-Xin Lu , Chi Sun Poon
Recycling waste glass (WG) and incinerated sewage sludge ash (ISSA) in lightweight aggregate is a prospective approach for large-scale utilization of these municipal wastes. However, this application has been hindered by the poor process stability and performance control caused by the complex characteristics of WG and ISSA. To address this, this paper develops a thermodynamics-based framework for sintering process design of lightweight aggregate (LWA). Thermodynamic models are used to quantitatively analyse the impact of foaming agent dosage, ISSA content, and temperature variations on several key aspects during the sintering process, including (i) foaming potential, (ii) solid-liquid phase transition, (iii) liquid-solid phase characteristics, (iv) sintering capacity, and (v) heavy metal solidification. Besides, structure-thermodynamics-informed artificial neural networks (STIANN) trained on extensive data are utilized to calculate the fluidity and interfacial property of the liquid-solid phase. This framework allows the chemical components and sintering process of ISSA-WG based LWA to be designed and optimized, considering different target performances, such as liquid phase content, crystals precipitation, viscosity, surface tension, and oxide activity. Additionally, the ISSA-WG based LWA can achieve excellent environmentally friendly properties in the broad sintering temperature range of 800–1600 °C because the heavy metals (mainly As, Cr, Cu, and Ni) can be immobilized within LWA in stable forms.
{"title":"Thermodynamics-guided design for lightweight aggregate production from waste glass and incinerated sewage sludge ash","authors":"Yujie Huang ,&nbsp;Ying Wei ,&nbsp;Ziwei Chen ,&nbsp;Weiyi Ji ,&nbsp;Zuwang Bian ,&nbsp;Jian-Xin Lu ,&nbsp;Chi Sun Poon","doi":"10.1016/j.jenvman.2025.125482","DOIUrl":"10.1016/j.jenvman.2025.125482","url":null,"abstract":"<div><div>Recycling waste glass (WG) and incinerated sewage sludge ash (ISSA) in lightweight aggregate is a prospective approach for large-scale utilization of these municipal wastes. However, this application has been hindered by the poor process stability and performance control caused by the complex characteristics of WG and ISSA. To address this, this paper develops a thermodynamics-based framework for sintering process design of lightweight aggregate (LWA). Thermodynamic models are used to quantitatively analyse the impact of foaming agent dosage, ISSA content, and temperature variations on several key aspects during the sintering process, including (i) foaming potential, (ii) solid-liquid phase transition, (iii) liquid-solid phase characteristics, (iv) sintering capacity, and (v) heavy metal solidification. Besides, structure-thermodynamics-informed artificial neural networks (STIANN) trained on extensive data are utilized to calculate the fluidity and interfacial property of the liquid-solid phase. This framework allows the chemical components and sintering process of ISSA-WG based LWA to be designed and optimized, considering different target performances, such as liquid phase content, crystals precipitation, viscosity, surface tension, and oxide activity. Additionally, the ISSA-WG based LWA can achieve excellent environmentally friendly properties in the broad sintering temperature range of 800–1600 °C because the heavy metals (mainly As, Cr, Cu, and Ni) can be immobilized within LWA in stable forms.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125482"},"PeriodicalIF":8.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869913","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
ESG disclosure, public perception and corporate financial performance: An empirical study based on textual analysis
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-04-24 DOI: 10.1016/j.jenvman.2025.125320
Yuangao Chen, Ziye Xie, Lu Wang, Liyuan Zhu
With the proposal of dual carbon goal, environmental, social and governance (ESG) disclosure has become an important indicator for measuring corporate financial performance(CFP). This study investigates the impact of corporate ESG disclosure and public perception of ESG on CFP within the context of China's A-share market. Utilizing ESG disclosure data from the annual reports of firms listed on the Shanghai and Shenzhen stock exchanges from 2014 to 2023, the study employs the Elaboration Likelihood Model (ELM) to analyze the central route between ESG disclosure and CFP, as well as the peripheral route between public perception of ESG and CFP. Additionally, the moderating effect of social media text features on the central route is examined. The findings reveal a significant inverted U-shaped nonlinear relationship between the degree of ESG disclosure and CFP. Similarly, public perception of ESG also exhibits an inverted U-shaped relationship with CFP. Importantly, negative emotions within social media texts significantly moderate the relationship between ESG disclosure and CFP. Furthermore, the inverted U-shaped effect between ESG disclosure and CFP is more pronounced in firms with lower R&D investment ratios. This study contributes to the literature by exploring the complex interplay between ESG disclosure, public perception, and CFP within the context of social media, offering valuable insights for ESG practices in the electronics equipment manufacturing industry.
{"title":"ESG disclosure, public perception and corporate financial performance: An empirical study based on textual analysis","authors":"Yuangao Chen,&nbsp;Ziye Xie,&nbsp;Lu Wang,&nbsp;Liyuan Zhu","doi":"10.1016/j.jenvman.2025.125320","DOIUrl":"10.1016/j.jenvman.2025.125320","url":null,"abstract":"<div><div>With the proposal of dual carbon goal, environmental, social and governance (ESG) disclosure has become an important indicator for measuring corporate financial performance(CFP). This study investigates the impact of corporate ESG disclosure and public perception of ESG on CFP within the context of China's A-share market. Utilizing ESG disclosure data from the annual reports of firms listed on the Shanghai and Shenzhen stock exchanges from 2014 to 2023, the study employs the Elaboration Likelihood Model (ELM) to analyze the central route between ESG disclosure and CFP, as well as the peripheral route between public perception of ESG and CFP. Additionally, the moderating effect of social media text features on the central route is examined. The findings reveal a significant inverted U-shaped nonlinear relationship between the degree of ESG disclosure and CFP. Similarly, public perception of ESG also exhibits an inverted U-shaped relationship with CFP. Importantly, negative emotions within social media texts significantly moderate the relationship between ESG disclosure and CFP. Furthermore, the inverted U-shaped effect between ESG disclosure and CFP is more pronounced in firms with lower R&amp;D investment ratios. This study contributes to the literature by exploring the complex interplay between ESG disclosure, public perception, and CFP within the context of social media, offering valuable insights for ESG practices in the electronics equipment manufacturing industry.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125320"},"PeriodicalIF":8.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Elucidating the pivotal functions of fulvic acid in enhancing Monoraphidium sp. QLZ-3 for cadmium remediation and bioresource recovery
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-04-24 DOI: 10.1016/j.jenvman.2025.125521
Yongteng Zhao , Jinkun You , Qingwei Wang , Li Huang , Min Yang , Jiani Liu , Xuya Yu , Lei Yu
Heavy metal pollution poses substantial challenges to human health and aquatic ecosystems. This study investigates a coupled technology for lipid production and cadmium adsorption utilizing microalgae regulated by fulvic acid (FA). Under the combination of 40 mg L−1 FA and cadmium (Cd) treatment, Monoraphidium sp. QLZ-3 exhibited the highest biomass (3.27 g L−1), lipid content (52.73 %), and lipid productivity (193.26 mg L−1 d−1), which were enhanced by 20.10 %, 15.81 % and 40.27 % respectively compared with the control. Notably, FA application significantly increased cadmium removal efficiency to 100 %. Moreover, the synergistic effect of FA and Cd enhanced the biomass, lipid production, and energy yield (92.38 kJ L−1) by accelerating nitrogen consumption, inhibiting carbohydrate synthesis, and elevating levels of reactive oxygen species and mitogen-activated protein kinase. FA had a minimal impact on fatty acid composition and biodiesel properties. The majority of the biodiesel quality parameters met the specifications for commercial biodiesel. Proteomic analysis revealed that exogenous FA promoted cell growth and lipid accumulation by upregulating the tricarboxylic acid cycle, the nitrogen assimilation pathway, and activating Ca2+ signaling in QLZ-3 under cadmium treatment. Additionally, calcium ion (Ca2+) and reactive oxidative species (ROS) were identified as key factors in promoting cell growth and lipid synthesis under the influence of Cd and FA. These findings collectively indicate that FA can boost both biomass and lipid production, as well as the efficient removal of Cd2+, providing a theoretical foundation for the optimization of microalgal biomass and lipid production and the bioremediation of heavy metal contamination in aquatic environments.
{"title":"Elucidating the pivotal functions of fulvic acid in enhancing Monoraphidium sp. QLZ-3 for cadmium remediation and bioresource recovery","authors":"Yongteng Zhao ,&nbsp;Jinkun You ,&nbsp;Qingwei Wang ,&nbsp;Li Huang ,&nbsp;Min Yang ,&nbsp;Jiani Liu ,&nbsp;Xuya Yu ,&nbsp;Lei Yu","doi":"10.1016/j.jenvman.2025.125521","DOIUrl":"10.1016/j.jenvman.2025.125521","url":null,"abstract":"<div><div>Heavy metal pollution poses substantial challenges to human health and aquatic ecosystems. This study investigates a coupled technology for lipid production and cadmium adsorption utilizing microalgae regulated by fulvic acid (FA). Under the combination of 40 mg L<sup>−1</sup> FA and cadmium (Cd) treatment, <em>Monoraphidium</em> sp. QLZ-3 exhibited the highest biomass (3.27 g L<sup>−1</sup>), lipid content (52.73 %), and lipid productivity (193.26 mg L<sup>−1</sup> d<sup>−1</sup>), which were enhanced by 20.10 %, 15.81 % and 40.27 % respectively compared with the control. Notably, FA application significantly increased cadmium removal efficiency to 100 %. Moreover, the synergistic effect of FA and Cd enhanced the biomass, lipid production, and energy yield (92.38 kJ L<sup>−1</sup>) by accelerating nitrogen consumption, inhibiting carbohydrate synthesis, and elevating levels of reactive oxygen species and mitogen-activated protein kinase. FA had a minimal impact on fatty acid composition and biodiesel properties. The majority of the biodiesel quality parameters met the specifications for commercial biodiesel. Proteomic analysis revealed that exogenous FA promoted cell growth and lipid accumulation by upregulating the tricarboxylic acid cycle, the nitrogen assimilation pathway, and activating Ca<sup>2+</sup> signaling in QLZ-3 under cadmium treatment. Additionally, calcium ion (Ca<sup>2+</sup>) and reactive oxidative species (ROS) were identified as key factors in promoting cell growth and lipid synthesis under the influence of Cd and FA. These findings collectively indicate that FA can boost both biomass and lipid production, as well as the efficient removal of Cd<sup>2+</sup>, providing a theoretical foundation for the optimization of microalgal biomass and lipid production and the bioremediation of heavy metal contamination in aquatic environments.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125521"},"PeriodicalIF":8.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869912","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Corporate ESG performance and green innovation: moderating effect of shareholder activism
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-04-24 DOI: 10.1016/j.jenvman.2025.125413
Lei Zhu , Tong Li , Chunyan Wang , Junhao Huang
Environmental, social, and governance (ESG) performance are gaining momentum to corporate sustainable development. Based on non-financial listed enterprises in China from 2013 to 2023, this paper empirically analyzes the impact of ESG performance on green innovation and shareholder activism's moderating role. We find that ESG performance effectively promotes corporate green innovation. Shareholder activism, represented by institutional investors' field survey and appointing directors, will strengthen this impact. Further analysis reveals “the superstar effect” on industrial ESG performance disparity as well as a more significant effect in non-heavy pollution enterprises and industries with fierce competition. We also examine ESG performance's greenization effect, resulting in lowered carbon dioxide emission and waste pollutants. This study contributes to extant research on the correlation of ESG performance and corporate green innovation, and additionally provide insights into shareholder activism from the perspective of institutional investors' active intervention in corporate governance.
{"title":"Corporate ESG performance and green innovation: moderating effect of shareholder activism","authors":"Lei Zhu ,&nbsp;Tong Li ,&nbsp;Chunyan Wang ,&nbsp;Junhao Huang","doi":"10.1016/j.jenvman.2025.125413","DOIUrl":"10.1016/j.jenvman.2025.125413","url":null,"abstract":"<div><div>Environmental, social, and governance (ESG) performance are gaining momentum to corporate sustainable development. Based on non-financial listed enterprises in China from 2013 to 2023, this paper empirically analyzes the impact of ESG performance on green innovation and shareholder activism's moderating role. We find that ESG performance effectively promotes corporate green innovation. Shareholder activism, represented by institutional investors' field survey and appointing directors, will strengthen this impact. Further analysis reveals “the superstar effect” on industrial ESG performance disparity as well as a more significant effect in non-heavy pollution enterprises and industries with fierce competition. We also examine ESG performance's greenization effect, resulting in lowered carbon dioxide emission and waste pollutants. This study contributes to extant research on the correlation of ESG performance and corporate green innovation, and additionally provide insights into shareholder activism from the perspective of institutional investors' active intervention in corporate governance.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125413"},"PeriodicalIF":8.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864387","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Thermal decomposition behavior of retired wind turbine blades: kinetics, pyrolysis product distribution and characterization
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-04-24 DOI: 10.1016/j.jenvman.2025.125515
Mei Han , Yonghui Bai , Yuan Ma , Peng Lv , Xudong Song , Jiaofei Wang , Weiguang Su , Guangsuo Yu , Xuebin Wang
The rapid growth of the wind power industry has heightened the need for effective resource utilization of retired wind turbine blades (RWTB). Pyrolysis technology offers a promising approach for recovering high-value products from RWTB. In this study, the pyrolysis kinetic behavior of RWTB was investigated using three kinetic models (KAS, FWO, Miura) and the isoconversional method, based on thermogravimetric (TG) analysis at four heating rates. The results indicate that the pyrolysis process occurs in four stages, with the active thermal decomposition stage between 300 and 480 °C. The temperature corresponding to the maximum weight loss rate was 380 °C, and the activation energy ranged from 177 to 280 kJ/mol. Rapid pyrolysis experiments were conducted on RWTB in a fixed bed reactor at temperatures of 300–600 °C, the distribution of pyrolysis products (gas, tar, and char) was systematically analyzed. Pyrolytic tar was examined using GC-MS, while pyrolytic char was characterized using SEM, XRD, and Raman spectroscopy. The results indicate that the most complete decomposition of RWTB occurred at 500 °C, with pyrolytic gas and tar yields reaching 3.5 % and 33.6 %, respectively. The gas primarily consisted of CO2 and CH4, while the tar was rich in phenolic compounds (up to 76 %), including bisphenol A, phenol, 4-isopropylphenol, and 4-isopropenylphenol. Analysis of the solid residues show that carbon remained on the fiber material surface, with no significant changes in its shape or structure. This study demonstrates the potential of pyrolysis as a sustainable solution for converting RWTB into high-value chemicals while recovering reusable fiber materials.
{"title":"Thermal decomposition behavior of retired wind turbine blades: kinetics, pyrolysis product distribution and characterization","authors":"Mei Han ,&nbsp;Yonghui Bai ,&nbsp;Yuan Ma ,&nbsp;Peng Lv ,&nbsp;Xudong Song ,&nbsp;Jiaofei Wang ,&nbsp;Weiguang Su ,&nbsp;Guangsuo Yu ,&nbsp;Xuebin Wang","doi":"10.1016/j.jenvman.2025.125515","DOIUrl":"10.1016/j.jenvman.2025.125515","url":null,"abstract":"<div><div>The rapid growth of the wind power industry has heightened the need for effective resource utilization of retired wind turbine blades (RWTB). Pyrolysis technology offers a promising approach for recovering high-value products from RWTB. In this study, the pyrolysis kinetic behavior of RWTB was investigated using three kinetic models (KAS, FWO, Miura) and the isoconversional method, based on thermogravimetric (TG) analysis at four heating rates. The results indicate that the pyrolysis process occurs in four stages, with the active thermal decomposition stage between 300 and 480 °C. The temperature corresponding to the maximum weight loss rate was 380 °C, and the activation energy ranged from 177 to 280 kJ/mol. Rapid pyrolysis experiments were conducted on RWTB in a fixed bed reactor at temperatures of 300–600 °C, the distribution of pyrolysis products (gas, tar, and char) was systematically analyzed. Pyrolytic tar was examined using GC-MS, while pyrolytic char was characterized using SEM, XRD, and Raman spectroscopy. The results indicate that the most complete decomposition of RWTB occurred at 500 °C, with pyrolytic gas and tar yields reaching 3.5 % and 33.6 %, respectively. The gas primarily consisted of CO<sub>2</sub> and CH<sub>4</sub>, while the tar was rich in phenolic compounds (up to 76 %), including bisphenol A, phenol, 4-isopropylphenol, and 4-isopropenylphenol. Analysis of the solid residues show that carbon remained on the fiber material surface, with no significant changes in its shape or structure. This study demonstrates the potential of pyrolysis as a sustainable solution for converting RWTB into high-value chemicals while recovering reusable fiber materials.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125515"},"PeriodicalIF":8.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143869849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Systematic review of various activation methods of sulfate radical precursor for the degradation of PFAS in aquatic environments
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-04-24 DOI: 10.1016/j.jenvman.2025.125409
Mahsa Khalili , Ali Behnami , Khaled Zoroufchi Benis , Hazhar Jalal Ali , Ehsan Aghayani , Ali Abdolahnejad , Mojtaba Pourakbar , Reza Dehghanzadeh

Per

and polyfluoroalkyl substance (PFAS), widely used in industrial production, pose significant environmental and health risks due to their stability and persistence. Recent research has highlighted the potential of sulfate radicals for degrading PFAS through the activation of precursors like peroxymonosulfate (PMS) and persulfate (PS) in oxidation processes. The present study systematically reviews various activation methods and corresponding efficiencies in removing PFAS in thermal, ultrasonic, photochemical, catalytic, and electrochemical processes. The review also explores the impact of pH, temperature, precursor concentration, and co-contaminants, on PFAS degradation efficiency. Additionally, it investigates the degradation mechanisms, including defluorination and carbon-carbon bond cleavage, providing insights into the pathways of PFAS breakdown. Despite the promising results, challenges remain on the potential formation of toxic by-products and the energy demands of activation methods. Addressing these issues may involve developing more efficient catalysts, optimizing conditions, and combining treatment processes. This review offers valuable insights for researchers and practitioners, contributing to the advancement of PFAS remediation strategies and ultimately protecting human health and the environment from these persistent pollutants.
{"title":"Systematic review of various activation methods of sulfate radical precursor for the degradation of PFAS in aquatic environments","authors":"Mahsa Khalili ,&nbsp;Ali Behnami ,&nbsp;Khaled Zoroufchi Benis ,&nbsp;Hazhar Jalal Ali ,&nbsp;Ehsan Aghayani ,&nbsp;Ali Abdolahnejad ,&nbsp;Mojtaba Pourakbar ,&nbsp;Reza Dehghanzadeh","doi":"10.1016/j.jenvman.2025.125409","DOIUrl":"10.1016/j.jenvman.2025.125409","url":null,"abstract":"<div><h3>Per</h3><div>and polyfluoroalkyl substance (PFAS), widely used in industrial production, pose significant environmental and health risks due to their stability and persistence. Recent research has highlighted the potential of sulfate radicals for degrading PFAS through the activation of precursors like peroxymonosulfate (PMS) and persulfate (PS) in oxidation processes. The present study systematically reviews various activation methods and corresponding efficiencies in removing PFAS in thermal, ultrasonic, photochemical, catalytic, and electrochemical processes. The review also explores the impact of pH, temperature, precursor concentration, and co-contaminants, on PFAS degradation efficiency. Additionally, it investigates the degradation mechanisms, including defluorination and carbon-carbon bond cleavage, providing insights into the pathways of PFAS breakdown. Despite the promising results, challenges remain on the potential formation of toxic by-products and the energy demands of activation methods. Addressing these issues may involve developing more efficient catalysts, optimizing conditions, and combining treatment processes. This review offers valuable insights for researchers and practitioners, contributing to the advancement of PFAS remediation strategies and ultimately protecting human health and the environment from these persistent pollutants.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"383 ","pages":"Article 125409"},"PeriodicalIF":8.0,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143864490","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Progress in MnO2/MnO2-based materials catalytic ozonation process for water and wastewater treatment
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-04-24 DOI: 10.1016/j.jenvman.2025.125493
Jing Liu , Xiangjuan Yuan , Huiyu Dong , Carmen Sans
Heterogeneous catalytic ozonation (HCO) utilizes catalysts to enhance the adsorption and decomposition of ozone (O3), promote the formation of reactive oxygen species (ROS), and improve the removal of organic compounds, thereby overcoming some disadvantages of ozonation. MnO2/MnO2-based materials are widely used as catalysts for HCO due to their multi-valent Mn species, environment friendliness, abundant resources, and high efficiency. This review aims to provide an overview of the advancements in HCO using MnO2/MnO2-based materials, focusing on their preparation, structural characteristics, catalytic performance, and proposed mechanisms. In particular, the effects of MnO2 synthesis methods on the crystalline structure and morphology of catalysts are discussed. Then, the catalytic performances of various catalysts involving different phases, morphologies, and facets are compared. Subsequently, the enhanced applications of MnO2-based catalysts in HCO for water treatment are described, including metals doping, metal oxides combination, and MnO2-carrier. Furthermore, approaches of ROS identification are clarified, and the mechanisms of strengthening catalytic ozonation efficiency by MnO2/MnO2-based catalysts are summarized, containing redox couple theory, oxygen vacancy theory, complexation theory, and surface hydroxyl theory. Finally, the potential applications and perspectives of MnO2/MnO2-based catalysts are proposed. This review plans to bridge the gap between research and practical applications, providing new insights into the application of HCO technologies in water treatment.
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引用次数: 0
Crystallinity- dependent heteroaggregation and co-sedimentation between polystyrene nanoplastics and iron (hydro)oxides
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-04-23 DOI: 10.1016/j.jenvman.2025.125472
Jingyi He , Pingxiao Wu , Leiye Sun , Jiayan Wu , Tianming Wang , Jieyu Liu , Sheng Liu , Nengwu Zhu
Iron (hydro)oxides (IOs) with different crystallinities are widespread in the aquatic environment. They coexist with nanoplastics (NPs) and tend to interact with each other. The properties of minerals can greatly influence the heteroaggregation of minerals and NPs, being manifested not only in the heteroaggregation capacity but also in the interaction mode. This study investigated the heteroaggregation and co-sedimentation between polystyrene nanoplastics (PSNPs) and IOs with different crystallinity. We found that the zeta potential of IOs increased with rising IOs crystallinity. DLVO calculations indicated stronger electrostatic attraction between negatively-charged NPs and highly-crystalline IOs, resulting in greater heteroaggregation capacity. In addition, the heteroaggregation capacity of PSNPs with IOs declined as the pH value and ion strength increased. The Fourier transform infrared spectra (FTIR) and two-dimensional correlation spectroscopy (2D-COS) analyses indicated that there was strong hydrogen bonding between IOs with high crystallinity and PSNPs, contributing to a greater heteroaggregation capacity of PSNPs on highly-crystalline IOs than low-crystalline IOs. Zeta potential measurements revealed that negatively charged PSNPs heteroaggregated on the surface of positively charged IOs, capable of neutralizing or even reversing the surface charge. This, in turn, affected the sedimentation of IOs-PSNPs agglomerates and their fate. These findings elucidated the key role of crystallinity on the heteroaggregation between IOs and PSNPs, and offered insight into their environmental fate.
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引用次数: 0
Assessing climate change impact of blue ammonia via carbon capture and utilization in life cycle modelling 在生命周期模型中通过碳捕获和利用评估蓝氨对气候变化的影响
IF 8 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Pub Date : 2025-04-23 DOI: 10.1016/j.jenvman.2025.125438
Mutaz Chahrour, Christina Wulf, Petra Zapp
Ammonia production represents a fundamental aspect of the global chemical industry. It is a significant contributor to carbon dioxide (CO2) emissions, and it is necessary that innovative methods be developed to reduce its climate impact. This study assesses the environmental impact of blue ammonia production incorporating carbon capture and utilization (CCU) through a novel Life Cycle Assessment (LCA) approach, based on the latest guidelines from the Together for Sustainability (TfS) initiative. This analysis is centred on three systems: grey ammonia (System A), blue ammonia with in-process carbon capture (System B), and blue ammonia utilizing system expansion via direct air capture (DAC) (System C). The results demonstrate that the production of grey ammonia in Germany generates 3.12 kgCO2eq per kg of ammonia, predominantly due to emissions from steam methane reforming (SMR). The incorporation of in-process CO2 capture in blue ammonia (System B) results in a climate impact of 1.79 kgCO2eq for the functional unit of 1 kg ammonia plus 1.85 kg of succesfully captured CO2. The implementation of system expansion via DAC (System C), as recommended by the TfS guidelines, results in a further reduction of ammonia emissions to 2.64 kgCO2eq, in comparison to System A. This approach also yields a net negative impact of −0.85 kgCO2eq for the captured CO2 co-product, enabling the realization of the shared incentivization objective articulated in the suggested guideline. The regional scenarios convincingly demonstrate that the proposed approach achieves varying levels of success, often leading to more polarized incentivization. The future scenario will significantly enhance the benefits of CCU and the utilization of CO2 as a co-product. However, this will be at the expense of incentivizing the production of blue ammonia. This work advances the methodologies for LCA of multi-functional CCU systems, demonstrating the potential for shared incentives in the transition to a new ammonia generation system as a prime example. Nonetheless, it also highlights limitations in regions where the energy source is dominated by fossil fuels or where the energy source is fully renewable. The current TfS framework methodology proposition is therefore a short-term solution to promote the sustainable production of blue ammonia with CCU applications.
氨生产是全球化学工业的一个基本方面。它是二氧化碳(CO2)排放的重要来源,因此有必要开发创新方法来减少其对气候的影响。本研究以 "携手实现可持续发展"(TfS)倡议的最新指导方针为基础,通过新颖的生命周期评估(LCA)方法,评估了结合碳捕集与利用(CCU)的蓝色氨生产对环境的影响。该分析以三个系统为中心:灰氨(系统 A)、带过程中碳捕集的蓝氨(系统 B)和通过直接空气捕集(DAC)进行系统扩展的蓝氨(系统 C)。结果表明,在德国生产灰氨每千克氨产生 3.12 千克二氧化碳当量,主要是由于蒸汽甲烷转化(SMR)产生的排放。在蓝色氨水(系统 B)中加入过程中二氧化碳捕集,以 1 千克氨水加 1.85 千克成功捕集的二氧化碳为功能单位,对气候的影响为 1.79 千克 CO2eq。根据 TfS 指南的建议,通过 DAC(系统 C)实施系统扩展,与系统 A 相比,氨的排放量进一步减少至 2.64 kgCO2eq。这种方法还产生了捕获的二氧化碳副产品-0.85 kgCO2eq 的净负面影响,实现了建议指南中阐述的共同激励目标。区域方案令人信服地表明,建议的方法取得了不同程度的成功,往往导致激励措施更加两极分化。未来方案将显著提高 CCU 的效益和二氧化碳作为副产品的利用率。然而,这将以激励蓝氨生产为代价。这项工作推进了多功能 CCU 系统的生命周期评估方法,并以过渡到新型合成氨生产系统为例,展示了共享激励措施的潜力。尽管如此,它也凸显了在能源以化石燃料为主或能源完全可再生的地区的局限性。因此,目前的 TfS 框架方法建议是促进利用 CCU 应用可持续生产蓝色氨的短期解决方案。
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引用次数: 0
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Journal of Environmental Management
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