Pub Date : 2025-02-01DOI: 10.1016/j.eti.2024.103922
Dayong Luo , XiaoSong Tian , Ruxiang Qin
Iron reducing bacterium Acidiphilium cryputum JF-5 was used to biologically load lanthanum on bentonite (BLB) to remove arsenic(V) from solution. By biological reductive release of iron from bentonite and lanthanum loading, new lanthanum-loaded bentonite was prepared and the adsorption efficiency of arsenic(V) was improved from 7.87 mg/g to 22.69 mg/g in bath experiment. The mobilization of the dispersed biologically loaded lanthanum bentonite particles can be described by the Convection-Dispersion Equation. The breakthrough ability of biologically lanthanum-loaded bentonite (BLB) increased by 5.5 times when increasing flow velocities from 90 mL/h to 360 mL/h. When injected BLB into arsenic(V)-containing pre water of quartz column, the concentration of arsenic(V) could quickly decrease the initial concentration of arsenic(V) from 2000 μg/L to lower than limit for drinking water and keep relative stable. Meanwhile, the hydraulic conductivity of treatment system is also improved compared to prinstine bentonite due to iron-deficient in BLB. The results suggest that biologically load lanthanum bentonite may be an effective modified mineral for remediating arsenic(V)-containing soil.
{"title":"Adsorption of arsenic (V) by biologically reductive lanthanum-loaded bentonite: Transportation and injection removal experiments","authors":"Dayong Luo , XiaoSong Tian , Ruxiang Qin","doi":"10.1016/j.eti.2024.103922","DOIUrl":"10.1016/j.eti.2024.103922","url":null,"abstract":"<div><div>Iron reducing bacterium <em>Acidiphilium cryputum JF-5</em> was used to biologically load lanthanum on bentonite (BLB) to remove arsenic(V) from solution. By biological reductive release of iron from bentonite and lanthanum loading, new lanthanum-loaded bentonite was prepared and the adsorption efficiency of arsenic(V) was improved from 7.87 mg/g to 22.69 mg/g in bath experiment. The mobilization of the dispersed biologically loaded lanthanum bentonite particles can be described by the Convection-Dispersion Equation. The breakthrough ability of biologically lanthanum-loaded bentonite (BLB) increased by 5.5 times when increasing flow velocities from 90 mL/h to 360 mL/h. When injected BLB into arsenic(V)-containing pre water of quartz column, the concentration of arsenic(V) could quickly decrease the initial concentration of arsenic(V) from 2000 μg/L to lower than limit for drinking water and keep relative stable. Meanwhile, the hydraulic conductivity of treatment system is also improved compared to prinstine bentonite due to iron-deficient in BLB. The results suggest that biologically load lanthanum bentonite may be an effective modified mineral for remediating arsenic(V)-containing soil.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103922"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2025-02-01DOI: 10.1016/j.eti.2024.104009
Yuxuan Li , Zhaobin Zhang , Shouding Li , Jianming He , Zhuoran Xie , Xiao Li , Cheng Lu , Xuwen Qin
Carbon dioxide sequestration is a crucial strategy for achieving carbon neutrality. This study explores a novel approach to carbon dioxide storage in marine environments in the form of hydrate, addressing the stringent site requirements of traditional geological storage methods. Using a custom-developed simulator, a conceptual model for carbon dioxide sequestration in subsea reservoirs under a horizontal well network configuration was constructed. Key factors, including seawater depth, injection depth, and well spacing, were analyzed through simulations to quantify carbon dioxide storage capacity and assess associated risks under various sequestration scenarios. The results indicate that increasing seawater depth boosts both CO₂ storage capacity and safety, while deeper injection enhances safety but reduces hydrate storage capacity and raises leakage potential. Closer well spacing improves early-stage safety but increases long-term risks. The study outlines distinct sequestration stages and provides detailed analyses of CO₂ migration and phase transformations over time, contributing insights for advancing CO₂ sequestration strategies.
{"title":"Comprehensive feasibility analysis of carbon dioxide hydrate sequestration: A numerical study based on horizontal well networks","authors":"Yuxuan Li , Zhaobin Zhang , Shouding Li , Jianming He , Zhuoran Xie , Xiao Li , Cheng Lu , Xuwen Qin","doi":"10.1016/j.eti.2024.104009","DOIUrl":"10.1016/j.eti.2024.104009","url":null,"abstract":"<div><div>Carbon dioxide sequestration is a crucial strategy for achieving carbon neutrality. This study explores a novel approach to carbon dioxide storage in marine environments in the form of hydrate, addressing the stringent site requirements of traditional geological storage methods. Using a custom-developed simulator, a conceptual model for carbon dioxide sequestration in subsea reservoirs under a horizontal well network configuration was constructed. Key factors, including seawater depth, injection depth, and well spacing, were analyzed through simulations to quantify carbon dioxide storage capacity and assess associated risks under various sequestration scenarios. The results indicate that increasing seawater depth boosts both CO₂ storage capacity and safety, while deeper injection enhances safety but reduces hydrate storage capacity and raises leakage potential. Closer well spacing improves early-stage safety but increases long-term risks. The study outlines distinct sequestration stages and provides detailed analyses of CO₂ migration and phase transformations over time, contributing insights for advancing CO₂ sequestration strategies.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 104009"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2025-02-01DOI: 10.1016/j.eti.2024.103967
Zhenjun Zhou , Shiyu Wang , Baonan He , Jiangtao He , Hua Zou , Mingming Li
The natural attenuation by microbes is crucial for removing residual Cr(VI) in remediation processes. However, insufficient natural attenuation can lead to pollutant rebound or tailing phenomena, affecting remediation efficiency. To address this issue, this study explored the enhancement effects and mechanisms of action of environmentally friendly carbon sources (NEVO), soluble biochar (BDOM), and their coupling (BDOM-NEVO) on the removal of residual Cr(VI). The results showed that BDOM-NEVO achieved the best removal performance, significantly outperforming NEVO and BDOM. This superiority is attributed to BDOM-NEVO's smaller particle size (262.2 nm), lower viscosity (1.2 mPa·s), richer oxygen-containing functional groups, as well as higher electron transfer activity (1.2–3.6 times higher). In the cyclic experiments (I-VI), the higher removal efficiency (1.9–2.4 times higher than NEVO) and shorter half-life (half of NEVO's) ensure the long-term effectiveness of BDOM-NEVO. The microbial physiological results indicate that BDOM-NEVO exhibits superior performance, the primary mechanism involves promoting the growth of microbial communities like Sphingomonas containing chromium-resistant genes (ChrA, ChrR, and AzoR), significantly enhancing metabolic pathways and synergistic interactions among microbial communities, thereby improving the natural attenuation efficiency of Cr(VI). These findings offer valuable insights into improving the remediation efficiency of residual Cr(VI) pollution.
{"title":"Reinforcing natural attenuation of Cr(VI) in groundwater through single- and composite BDOM-NEVO reagents: Performance contrast and mechanistic insights","authors":"Zhenjun Zhou , Shiyu Wang , Baonan He , Jiangtao He , Hua Zou , Mingming Li","doi":"10.1016/j.eti.2024.103967","DOIUrl":"10.1016/j.eti.2024.103967","url":null,"abstract":"<div><div>The natural attenuation by microbes is crucial for removing residual Cr(VI) in remediation processes. However, insufficient natural attenuation can lead to pollutant rebound or tailing phenomena, affecting remediation efficiency. To address this issue, this study explored the enhancement effects and mechanisms of action of environmentally friendly carbon sources (NEVO), soluble biochar (BDOM), and their coupling (BDOM-NEVO) on the removal of residual Cr(VI). The results showed that BDOM-NEVO achieved the best removal performance, significantly outperforming NEVO and BDOM. This superiority is attributed to BDOM-NEVO's smaller particle size (262.2 nm), lower viscosity (1.2 mPa·s), richer oxygen-containing functional groups, as well as higher electron transfer activity (1.2–3.6 times higher). In the cyclic experiments (I-VI), the higher removal efficiency (1.9–2.4 times higher than NEVO) and shorter half-life (half of NEVO's) ensure the long-term effectiveness of BDOM-NEVO. The microbial physiological results indicate that BDOM-NEVO exhibits superior performance, the primary mechanism involves promoting the growth of microbial communities like <em>Sphingomonas</em> containing chromium-resistant genes (ChrA, ChrR, and AzoR), significantly enhancing metabolic pathways and synergistic interactions among microbial communities, thereby improving the natural attenuation efficiency of Cr(VI). These findings offer valuable insights into improving the remediation efficiency of residual Cr(VI) pollution.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103967"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2025-02-01DOI: 10.1016/j.eti.2025.104036
Liwen Mai , Dingmei Wang , Jiacong Lin , Yehao Yan , He Liu , Minmin Cai , Xia Yang , Qinfen Li
The rising demand for poultry products has resulted in increased chicken manure output and environmental pollution. Cultivation of black soldier fly larvae (BSFL) in chicken manure offers an effective method for composting chicken manure. This study investigates the impact of diverse carbon resources on carbon sequestration in larval biomass and excrement, with a focus on bioavailability rather than carbon-to-nitrogen ratio. Five distinct carbon resources were combined with chicken manure, i.e., glucose (CG), sugar (CS), corn flour (CCF), straw (CST), and wood (CW), with pure chicken manure (CK) as a control. These mixtures were inoculated with BSFL for conversion, maintaining consistent initial C/N ratios across all treatments. Results indicated that the CS treatment yielded the highest biomass conversion rate and carbon sequestration within larval bodies, rating to 14.48 ± 0.21 % and 18.01 ± 1.43 %, respectively. Analysis of humus composition in frass revealed that CG and CST treatments produced the highest concentration of humic acid (7.86 ± 0.01 g/kg and 8.01 ± 0.22 g/kg). The both treatments also exhibited superior humification degrees, as evidenced by PARAFAC analysis. Redundancy analysis (RDA) indicated that the presence of Labile Carbon Pool I(LCP1) enhances carbon sequestration capacity within larvae bodies by fostering associations between the relative abundance of Firmicutes and larvae growth. Moreover, LCP1 induced anaerobic conditions increase Euryarchaeota abundance, amplifying anaerobic digestion processes conducive to humus generation during BSFL composting of chicken manure. Our discovery refines conventional approaches to raw materials mixing in BSFL composting and elucidates mechanisms through which varied carbon bioavailability alters microbial community composition, facilitating carbon sequestration in both larvae bodies and frass.
{"title":"Role of carbon bioavailability in enhancing carbon sequestration and humification in black soldier fly larvae body and frass during chicken manure composting","authors":"Liwen Mai , Dingmei Wang , Jiacong Lin , Yehao Yan , He Liu , Minmin Cai , Xia Yang , Qinfen Li","doi":"10.1016/j.eti.2025.104036","DOIUrl":"10.1016/j.eti.2025.104036","url":null,"abstract":"<div><div>The rising demand for poultry products has resulted in increased chicken manure output and environmental pollution. Cultivation of black soldier fly larvae (BSFL) in chicken manure offers an effective method for composting chicken manure. This study investigates the impact of diverse carbon resources on carbon sequestration in larval biomass and excrement, with a focus on bioavailability rather than carbon-to-nitrogen ratio. Five distinct carbon resources were combined with chicken manure, i.e., glucose (CG), sugar (CS), corn flour (CCF), straw (CST), and wood (CW), with pure chicken manure (CK) as a control. These mixtures were inoculated with BSFL for conversion, maintaining consistent initial C/N ratios across all treatments. Results indicated that the CS treatment yielded the highest biomass conversion rate and carbon sequestration within larval bodies, rating to 14.48 ± 0.21 % and 18.01 ± 1.43 %, respectively. Analysis of humus composition in frass revealed that CG and CST treatments produced the highest concentration of humic acid (7.86 ± 0.01 g/kg and 8.01 ± 0.22 g/kg). The both treatments also exhibited superior humification degrees, as evidenced by PARAFAC analysis. Redundancy analysis (RDA) indicated that the presence of Labile Carbon Pool I(LCP1) enhances carbon sequestration capacity within larvae bodies by fostering associations between the relative abundance of <em>Firmicutes</em> and larvae growth. Moreover, LCP1 induced anaerobic conditions increase <em>Euryarchaeota</em> abundance, amplifying anaerobic digestion processes conducive to humus generation during BSFL composting of chicken manure. Our discovery refines conventional approaches to raw materials mixing in BSFL composting and elucidates mechanisms through which varied carbon bioavailability alters microbial community composition, facilitating carbon sequestration in both larvae bodies and frass.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 104036"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179951","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2025-02-01DOI: 10.1016/j.eti.2025.104020
Zhong-Yuan Ying , Lu-Yan Zhang , Yan Li , Ze-Wen Wang , Liang Qiao , Fei-Hong Wang , Ye Yuan , Shan-Shan Yang , Jie Ding , Nan-Qi Ren , Tian-Ming Chen
Biohydrogen production is regarded as a prospective approach for hydrogen production, given its capacity to harness functional microorganisms for the conversion of diverse substrates into hydrogen gas. However, challenges such as low hydrogen production rates and poor stability hinder the large-scale application of dark fermentation. Recent research has shown that biochar is an effective additive in anaerobic fermentation processes. This study investigated the effects of biochar formed from three different kinds of straw at different temperatures on hydrogen production during activated sludge fermentation. The incorporation of rice straw biochar formed at 500 °C (RSBC500) to the fermentation process significantly increased hydrogen production by 27.27 % and improved microbial metabolic pathways. The results of the metabolite analysis indicated a notable increase in the content of both acetate and butyrate, from 16.78 and 15.35 mmol/L, respectively, to 18.50 and 18.26 mmol/L. The characterization of biochar formed at different temperatures and the analysis of the electron transfer capacity of fermentation residues and extracellular polymeric substances revealed that RSBC500 with more redox active functional groups and higher electron transfer capacity enhanced electron transfer between microorganisms. This study presents a strategy for optimizing biochar raw materials and pyrolysis temperatures to promote biohydrogen production, deepening the understanding of biochar promoting hydrogen production from sludge fermentation and providing valuable insights into the resource utilization of crop straw.
{"title":"Effects of different types and pyrolysis temperature of straw biochar on promoting hydrogen production of sludge fermentation","authors":"Zhong-Yuan Ying , Lu-Yan Zhang , Yan Li , Ze-Wen Wang , Liang Qiao , Fei-Hong Wang , Ye Yuan , Shan-Shan Yang , Jie Ding , Nan-Qi Ren , Tian-Ming Chen","doi":"10.1016/j.eti.2025.104020","DOIUrl":"10.1016/j.eti.2025.104020","url":null,"abstract":"<div><div>Biohydrogen production is regarded as a prospective approach for hydrogen production, given its capacity to harness functional microorganisms for the conversion of diverse substrates into hydrogen gas. However, challenges such as low hydrogen production rates and poor stability hinder the large-scale application of dark fermentation. Recent research has shown that biochar is an effective additive in anaerobic fermentation processes. This study investigated the effects of biochar formed from three different kinds of straw at different temperatures on hydrogen production during activated sludge fermentation. The incorporation of rice straw biochar formed at 500 °C (RSBC500) to the fermentation process significantly increased hydrogen production by 27.27 % and improved microbial metabolic pathways. The results of the metabolite analysis indicated a notable increase in the content of both acetate and butyrate, from 16.78 and 15.35 mmol/L, respectively, to 18.50 and 18.26 mmol/L. The characterization of biochar formed at different temperatures and the analysis of the electron transfer capacity of fermentation residues and extracellular polymeric substances revealed that RSBC500 with more redox active functional groups and higher electron transfer capacity enhanced electron transfer between microorganisms. This study presents a strategy for optimizing biochar raw materials and pyrolysis temperatures to promote biohydrogen production, deepening the understanding of biochar promoting hydrogen production from sludge fermentation and providing valuable insights into the resource utilization of crop straw.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 104020"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2025-02-01DOI: 10.1016/j.eti.2024.104010
Yanxiang Zhang , Hongwei Sun , Xiaoyong Yang , Yucan Liu , Huiling Liu , Xiaohu Dai , Yu Zhang , Yi Cao
Antibiotic fermentation residue (AFR) is a byproduct of the antibiotic fermentation process, and its application could provide plentiful nutrients to the soil. However, the fate of antibiotic resistance genes (ARGs) in soil with consecutive repeated application of different AFRs is not fully understood. Hence, the succession of bacterial community and ARGs following the repeated application of three different AFRs (erythromycin fermentation residue (EFR), cephalosporin C fermentation residue (CFR) and penicillin fermentation residue (PFR)) was investigated. Herein, AFR after industrial-scale treatment was applied to the actual field for three consecutive years with the dosage of 7500 kg/hm2. Results implied that AFR application affected the bacterial community structure over time. And treated CFR and PFR induced substantial shifts in bacterial community compared to the treated EFR. Additionally, AFR influenced the ARGs abundance, where addition of treated EFR and PFR resulted in a more prominent increase of ARGs over time compared to the treated CFR, suggesting that the consecutive repeated AFR application might pose potential risks to the persistence and spread of ARGs. Finally, duration time contributed most to the soil ARGs profiles. These findings provided insights into the dynamics of soil ARGs following the consecutive repeated application of different AFRs.
{"title":"Dynamics of soil resistome and bacterial composition following multi-year application of different antibiotic fermentation residues","authors":"Yanxiang Zhang , Hongwei Sun , Xiaoyong Yang , Yucan Liu , Huiling Liu , Xiaohu Dai , Yu Zhang , Yi Cao","doi":"10.1016/j.eti.2024.104010","DOIUrl":"10.1016/j.eti.2024.104010","url":null,"abstract":"<div><div>Antibiotic fermentation residue (AFR) is a byproduct of the antibiotic fermentation process, and its application could provide plentiful nutrients to the soil. However, the fate of antibiotic resistance genes (ARGs) in soil with consecutive repeated application of different AFRs is not fully understood. Hence, the succession of bacterial community and ARGs following the repeated application of three different AFRs (erythromycin fermentation residue (EFR), cephalosporin C fermentation residue (CFR) and penicillin fermentation residue (PFR)) was investigated. Herein, AFR after industrial-scale treatment was applied to the actual field for three consecutive years with the dosage of 7500 kg/hm<sup>2</sup>. Results implied that AFR application affected the bacterial community structure over time. And treated CFR and PFR induced substantial shifts in bacterial community compared to the treated EFR. Additionally, AFR influenced the ARGs abundance, where addition of treated EFR and PFR resulted in a more prominent increase of ARGs over time compared to the treated CFR, suggesting that the consecutive repeated AFR application might pose potential risks to the persistence and spread of ARGs. Finally, duration time contributed most to the soil ARGs profiles. These findings provided insights into the dynamics of soil ARGs following the consecutive repeated application of different AFRs.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 104010"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179957","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2025-02-01DOI: 10.1016/j.eti.2024.103979
Meijuan Hu , Peng Chen , Gong Chen , Zaijun Li
The digital economy (DIGE) plays a crucial role in advancing the sustainable development of the urban ecological environments. This study explored the co-evolutionary dynamics between DIGE and eco-urbanization (ECU), and investigates the impact mechanisms of DIGE on ECU in the Yangtze River Delta (YRD) region. The following findings include: (1) The coupling coordination between DIGE and ECU increased from 2011 to 2021, with higher coordination observed in the developed central delta region and lower levels in less developed areas of Anhui and northern Jiangsu. (2) A positive and intensifying relationship emerged between DIGE and ECU during this period, with most cities in the delta region showing positive correlations. Higher incidence intensity was found in developed cities in southern Anhui, and central and southern Jiangsu, while weaker incidence intensity was observed in the less developed northern Anhui, northern Jiangsu, as well as western Zhejiang. (3) A significantly positive spatial association was identified, characterized by stable local transfer inertia and lock-in effects. The LDIGELECU type cities were primarily located in the less developed northern delta and parts of relatively developed central Anhui and Jiangsu; notably, the HDIGEHECU type cities were clustered in the developed southeastern delta region. (4) DIGE not only promoted ECU directly, but also indirectly advanced it through green technological innovation, industrial ecologization, industrial structural optimization, and environmental regulations. Furthermore, synergistic promotion, feedback effects, and mutual spatial spillover effects were identified between DIGE and ECU. Understanding these patterns and mechanisms is essential for guiding policy actions and fostering sustainable urban development.
{"title":"Spatio-temporal influencing effects and mechanisms of the digital economy on eco-urbanization in the Yangtze River Delta region","authors":"Meijuan Hu , Peng Chen , Gong Chen , Zaijun Li","doi":"10.1016/j.eti.2024.103979","DOIUrl":"10.1016/j.eti.2024.103979","url":null,"abstract":"<div><div>The digital economy (DIGE) plays a crucial role in advancing the sustainable development of the urban ecological environments. This study explored the co-evolutionary dynamics between DIGE and eco-urbanization (ECU), and investigates the impact mechanisms of DIGE on ECU in the Yangtze River Delta (YRD) region. The following findings include: (1) The coupling coordination between DIGE and ECU increased from 2011 to 2021, with higher coordination observed in the developed central delta region and lower levels in less developed areas of Anhui and northern Jiangsu. (2) A positive and intensifying relationship emerged between DIGE and ECU during this period, with most cities in the delta region showing positive correlations. Higher incidence intensity was found in developed cities in southern Anhui, and central and southern Jiangsu, while weaker incidence intensity was observed in the less developed northern Anhui, northern Jiangsu, as well as western Zhejiang. (3) A significantly positive spatial association was identified, characterized by stable local transfer inertia and lock-in effects. The L<sub>DIGE</sub>L<sub>ECU</sub> type cities were primarily located in the less developed northern delta and parts of relatively developed central Anhui and Jiangsu; notably, the H<sub>DIGE</sub>H<sub>ECU</sub> type cities were clustered in the developed southeastern delta region. (4) DIGE not only promoted ECU directly, but also indirectly advanced it through green technological innovation, industrial ecologization, industrial structural optimization, and environmental regulations. Furthermore, synergistic promotion, feedback effects, and mutual spatial spillover effects were identified between DIGE and ECU. Understanding these patterns and mechanisms is essential for guiding policy actions and fostering sustainable urban development.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103979"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2025-02-01DOI: 10.1016/j.eti.2024.103996
Pei-Yi Wong , Yu-Ting Zeng , Huey-Jen Su , Shih-Chun Candice Lung , Yu-Cheng Chen , Pau-Chung Chen , Ta-Chih Hsiao , Gary Adamkiewicz , Chih-Da Wu
Statistical-based feature selection methods have been used for dimension reduction, but only a few studies have explored the impact of selected features on machine learning models. This study aims to investigate the effects of statistical and machine learning-based feature selection methods on spatial prediction models for estimating variations in SO2 concentrations. We collected daily SO2 observations from 1994 to 2018 along with predictor variables such as land-use/land cover allocations, roads, landmarks, meteorological factors, and satellite images, resulting in a total of 428 geographic predictors. Important features were identified using statistical-based feature selection methods including SelectKBest, stepwise feature selection, elastic net, and machine learning-based methods such as random forest. The selected features from the four feature selection methods were fitted to machine learning algorithms including gradient boosting, CatBoost, XGBoost, and stacking ensemble to establish prediction models for estimating SO2 concentrations. SHapley Additive exPlanations (SHAP) was applied to explain the contribution of each selected feature to the model's prediction capability. The results showed that stacking ensemble model outperformed the three single machine learning algorithms. Among the four feature selection methods, the random forest method yielded the highest prediction accuracy (R2=0.80) in the training model, followed by stepwise selection (R2=0.75), SelectKBest (R2=0.75), and elastic net (R2=0.72) in the stacking ensemble model. These results were robust after several validation tests. Our findings suggested that the random forest feature selection method was more suitable for developing machine learning models for air pollution estimation. The identified features also provide important information for urban air pollution management.
{"title":"Effects of feature selection methods in estimating SO2 concentration variations using machine learning and stacking ensemble approach","authors":"Pei-Yi Wong , Yu-Ting Zeng , Huey-Jen Su , Shih-Chun Candice Lung , Yu-Cheng Chen , Pau-Chung Chen , Ta-Chih Hsiao , Gary Adamkiewicz , Chih-Da Wu","doi":"10.1016/j.eti.2024.103996","DOIUrl":"10.1016/j.eti.2024.103996","url":null,"abstract":"<div><div>Statistical-based feature selection methods have been used for dimension reduction, but only a few studies have explored the impact of selected features on machine learning models. This study aims to investigate the effects of statistical and machine learning-based feature selection methods on spatial prediction models for estimating variations in SO<sub>2</sub> concentrations. We collected daily SO<sub>2</sub> observations from 1994 to 2018 along with predictor variables such as land-use/land cover allocations, roads, landmarks, meteorological factors, and satellite images, resulting in a total of 428 geographic predictors. Important features were identified using statistical-based feature selection methods including SelectKBest, stepwise feature selection, elastic net, and machine learning-based methods such as random forest. The selected features from the four feature selection methods were fitted to machine learning algorithms including gradient boosting, CatBoost, XGBoost, and stacking ensemble to establish prediction models for estimating SO<sub>2</sub> concentrations. SHapley Additive exPlanations (SHAP) was applied to explain the contribution of each selected feature to the model's prediction capability. The results showed that stacking ensemble model outperformed the three single machine learning algorithms. Among the four feature selection methods, the random forest method yielded the highest prediction accuracy (R<sup>2</sup>=0.80) in the training model, followed by stepwise selection (R<sup>2</sup>=0.75), SelectKBest (R<sup>2</sup>=0.75), and elastic net (R<sup>2</sup>=0.72) in the stacking ensemble model. These results were robust after several validation tests. Our findings suggested that the random forest feature selection method was more suitable for developing machine learning models for air pollution estimation. The identified features also provide important information for urban air pollution management.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103996"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2025-02-01DOI: 10.1016/j.eti.2024.103975
Song Zhao , Yongqi Ma , Yang Li , Rui Li , Duo Miao , Hongqin Wang , Fang Yin , Hanzhong Jia
Widespread iron-bearing clay minerals exhibit excellent performance in remediating Cr(VI) contamination in aqueous and soil environments. However, the environmental factors and mechanisms underpinning Cr(VI) reduction via Fe(III)-exchanged clay surfaces remain insufficiently explored. In this study, we delve into the synergistic effects of Fe(III)-exchanged montmorillonite (MMT) and organic acids on Cr(VI) reduction. The results showed that Cr(VI) removal efficiency was significantly influenced by the type and concentration of organic acid, as well as the initial pH of the solution. Notably, the presence of ascorbic acid (H2A) significantly promoted Cr(VI) reduction by Fe(III)-exchanged MMT at pH 3.0, achieving rates 4–7 times higher than those observed with other organic acids. Spectral analyses identified Cr(OH)3, Fe(III)-Cr(III) complexes and Cr2O3 as the primary reduction products of Cr(VI). Further investigations through chemical probe experiments and radical quenching tests demonstrated that exchangeable Fe(III) on the surface of MMT was reduced to Fe(II) by H2A. The resulting Fe(II) participates in Fenton reaction, generating superoxide radical (O2•–) and hydroxyl radical (•OH), which act as potent electron donors to facilitate Cr(VI) reduction. Additionally, both H2A and Fe(II) directly contribute to the partial reduction of Cr(VI). These findings expand the potential applications of Fe(III)-exchanged MMT in treating Cr(VI)-contaminated wastewater, providing a promising strategy for environmental remediation and pollution control.
{"title":"Organic acids promote the generation of reactive oxygen species by Fe(III)-modified montmorillonite: Unraveling the Cr(VI) reduction mechanism","authors":"Song Zhao , Yongqi Ma , Yang Li , Rui Li , Duo Miao , Hongqin Wang , Fang Yin , Hanzhong Jia","doi":"10.1016/j.eti.2024.103975","DOIUrl":"10.1016/j.eti.2024.103975","url":null,"abstract":"<div><div>Widespread iron-bearing clay minerals exhibit excellent performance in remediating Cr(VI) contamination in aqueous and soil environments. However, the environmental factors and mechanisms underpinning Cr(VI) reduction via Fe(III)-exchanged clay surfaces remain insufficiently explored. In this study, we delve into the synergistic effects of Fe(III)-exchanged montmorillonite (MMT) and organic acids on Cr(VI) reduction. The results showed that Cr(VI) removal efficiency was significantly influenced by the type and concentration of organic acid, as well as the initial pH of the solution. Notably, the presence of ascorbic acid (H<sub>2</sub>A) significantly promoted Cr(VI) reduction by Fe(III)-exchanged MMT at pH 3.0, achieving rates 4–7 times higher than those observed with other organic acids. Spectral analyses identified Cr(OH)<sub>3</sub>, Fe(III)-Cr(III) complexes and Cr<sub>2</sub>O<sub>3</sub> as the primary reduction products of Cr(VI). Further investigations through chemical probe experiments and radical quenching tests demonstrated that exchangeable Fe(III) on the surface of MMT was reduced to Fe(II) by H<sub>2</sub>A. The resulting Fe(II) participates in Fenton reaction, generating superoxide radical (O<sub>2</sub><sup>•–</sup>) and hydroxyl radical (•OH), which act as potent electron donors to facilitate Cr(VI) reduction. Additionally, both H<sub>2</sub>A and Fe(II) directly contribute to the partial reduction of Cr(VI). These findings expand the potential applications of Fe(III)-exchanged MMT in treating Cr(VI)-contaminated wastewater, providing a promising strategy for environmental remediation and pollution control.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103975"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178335","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 : 2025-02-01DOI: 10.1016/j.eti.2024.103987
Quan Yuan , Xin-Ru Wen , Wei Liu , Zhang-Wen Ma , Jia-Wei Tang , Qing-Hua Liu , Muhammad Usman , Yu-Rong Tang , Xiang Wu , Liang Wang
In recent years, the misuse of antibiotics has led to severe pollution in water environments, with excessive residues in lake water damaging ecosystems and promoting the emergence of antibiotic-resistant bacteria. Therefore, rapid detection of antibiotic residues in the environment is crucial. This study introduces a novel method for the simultaneous quantification of mixed antibiotics in lake water using Surface-Enhanced Raman Scattering (SERS) combined with deep learning methods. To demonstrate the accuracy of our experiments, we tested four lake water samples collected from four distinct sampling points of an artificial lake in a municipal city in China. We independently analyzed each sample mixed with commonly used antibiotics, including ciprofloxacin, doxycycline, and levofloxacin. A non-negative elastic network was then employed to predict concentration ratios of mixed antibiotics in the lake water samples. The results showed that the established method can accurately quantify the ratios of individual antibiotics in mixed solutions at all four lake water sampling points. This approach facilitates the identification and quantification of antibiotics in lake water with simplicity and rapidity, exhibiting potential application for real-world monitoring of fluctuations of antibiotic residues in natural water systems.
{"title":"Simultaneous detection and quantification of ciprofloxacin, doxycycline, and levofloxacin in municipal lake water via deep learning analysis of complex Raman spectra","authors":"Quan Yuan , Xin-Ru Wen , Wei Liu , Zhang-Wen Ma , Jia-Wei Tang , Qing-Hua Liu , Muhammad Usman , Yu-Rong Tang , Xiang Wu , Liang Wang","doi":"10.1016/j.eti.2024.103987","DOIUrl":"10.1016/j.eti.2024.103987","url":null,"abstract":"<div><div>In recent years, the misuse of antibiotics has led to severe pollution in water environments, with excessive residues in lake water damaging ecosystems and promoting the emergence of antibiotic-resistant bacteria. Therefore, rapid detection of antibiotic residues in the environment is crucial. This study introduces a novel method for the simultaneous quantification of mixed antibiotics in lake water using Surface-Enhanced Raman Scattering (SERS) combined with deep learning methods. To demonstrate the accuracy of our experiments, we tested four lake water samples collected from four distinct sampling points of an artificial lake in a municipal city in China. We independently analyzed each sample mixed with commonly used antibiotics, including ciprofloxacin, doxycycline, and levofloxacin. A non-negative elastic network was then employed to predict concentration ratios of mixed antibiotics in the lake water samples. The results showed that the established method can accurately quantify the ratios of individual antibiotics in mixed solutions at all four lake water sampling points. This approach facilitates the identification and quantification of antibiotics in lake water with simplicity and rapidity, exhibiting potential application for real-world monitoring of fluctuations of antibiotic residues in natural water systems.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103987"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178505","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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}
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