Environmental Technology & Innovation最新文献

{"title":"Dynamics of soil resistome and bacterial composition following multi-year application of different antibiotic fermentation residues","authors":"Yanxiang Zhang ,&nbsp;Hongwei Sun ,&nbsp;Xiaoyong Yang ,&nbsp;Yucan Liu ,&nbsp;Huiling Liu ,&nbsp;Xiaohu Dai ,&nbsp;Yu Zhang ,&nbsp;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/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.</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}

{"title":"Spatio-temporal influencing effects and mechanisms of the digital economy on eco-urbanization in the Yangtze River Delta region","authors":"Meijuan Hu ,&nbsp;Peng Chen ,&nbsp;Gong Chen ,&nbsp;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_DIGEL_ECU type cities were primarily located in the less developed northern delta and parts of relatively developed central Anhui and Jiangsu; notably, the H_DIGEH_ECU 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}

{"title":"Effects of feature selection methods in estimating SO2 concentration variations using machine learning and stacking ensemble approach","authors":"Pei-Yi Wong ,&nbsp;Yu-Ting Zeng ,&nbsp;Huey-Jen Su ,&nbsp;Shih-Chun Candice Lung ,&nbsp;Yu-Cheng Chen ,&nbsp;Pau-Chung Chen ,&nbsp;Ta-Chih Hsiao ,&nbsp;Gary Adamkiewicz ,&nbsp;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 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.</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}

{"title":"Organic acids promote the generation of reactive oxygen species by Fe(III)-modified montmorillonite: Unraveling the Cr(VI) reduction mechanism","authors":"Song Zhao ,&nbsp;Yongqi Ma ,&nbsp;Yang Li ,&nbsp;Rui Li ,&nbsp;Duo Miao ,&nbsp;Hongqin Wang ,&nbsp;Fang Yin ,&nbsp;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 (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.</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}

{"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 ,&nbsp;Xin-Ru Wen ,&nbsp;Wei Liu ,&nbsp;Zhang-Wen Ma ,&nbsp;Jia-Wei Tang ,&nbsp;Qing-Hua Liu ,&nbsp;Muhammad Usman ,&nbsp;Yu-Rong Tang ,&nbsp;Xiang Wu ,&nbsp;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}

{"title":"Functionalized construction of highly aromatic condensed graphitized biochar for tetracycline adsorption","authors":"Xiaotong Zhang ,&nbsp;Jinju Hou ,&nbsp;Tong Cai ,&nbsp;Shudong Zhang ,&nbsp;Lichun Shen ,&nbsp;Qiuzhuo Zhang","doi":"10.1016/j.eti.2024.104002","DOIUrl":"10.1016/j.eti.2024.104002","url":null,"abstract":"<div><div>Designing biochar for the efficient removal of specific pollutants remains a significant challenge. In this work, a graphitized biochar with large carbon clusters (HBC700) was synthesized specifically for the removal of tetracycline. HBC700 exhibited outstanding adsorption performance, with a maximum adsorption capacity of 257.04 mg·g⁻¹ , which is 4.72 times that of the pristine biochar. The superior performance is attributed to its low electrical resistance, which facilitates electron transfer at the interface, enabling rapid and efficient tetracycline removal. After tetracycline adsorption, the structure of HBC700 became more ordered, forming a stable honeycomb arrangement. HBC700 also demonstrated high regeneration stability, maintaining a 94.85 % removal rate after five cycles, and achieving 100 % removal after H₂O₂ purification. Furthermore, HBC700 achieved over 98 % tetracycline removal in both tap water and wastewater, highlighting its potential for real-world applications.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 104002"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178918","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}

{"title":"Upcycling bivalve mollusk shell wastes into triple super-, mono-and di-calcium phosphates for fertilizers and mineral animal feed","authors":"Nongnuch Laohavisuti ,&nbsp;Chaowared Seangarun ,&nbsp;Banjong Boonchom ,&nbsp;Pesak Rungrojchaipon ,&nbsp;Wimonmat Boonmee ,&nbsp;Somkiat Seesanong","doi":"10.1016/j.eti.2024.103988","DOIUrl":"10.1016/j.eti.2024.103988","url":null,"abstract":"<div><div>To reduce and utilize many mollusk shell wastes, they can be transferred to calcium carbonate (CaCO₃) powders by mechanical grinding and then the obtained powders can be upcycled into various calcium phosphates. Triple super-, mono-and di-calcium phosphates were prepared by rapidly simple, cheap, and environmentally friendly processes using bivalve mollusk shell wastes. Triple superphosphate (TSP) powder was obtained by a reaction between phosphoric acid and mollusk shell-derived CaCO₃ powder and then was dissolved with water to classify non-soluble and soluble fractions by filtration. Non-soluble fraction was dried to obtain a gray-white powder of dicalcium phosphate dihydrate (CaHPO₄·2 H₂O). The self-evaporating process recrystallized the solution fraction to get a white powder of monocalcium phosphate monohydrate (Ca(H₂PO₄)₂·H₂O). All synthesized calcium phosphate samples were characterized and confirmed by X-ray fluorescence, X-ray diffraction, Fourier-transform infrared spectroscopy, scanning electron microscopy, and thermal analysis. Thermogravimetric analysis (TGA) and derivative thermogravimetric analysis (DTA) were conducted to evaluate phase stability and thermal behavior. The analyses revealed the crucial influence of temperature on phase transitions and stability, providing insights into decomposition patterns and confirming phase purity. All the calcium phosphates were found to be highly purified and phosphorus-rich, making them effective for use in fertilizers and mineral animal feed. Additionally, the green and low-cost preparation of three calcium phosphates proposed in this research will be valuable for reducing waste mollusk shells by reforming them into value-added chemical products that point out the viewpoint of a zero-waste operation for obtaining sustainable development of an effective waste management and recycling technique.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103988"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179489","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}

{"title":"Enhanced pyrite bioleaching through the synergistic interactions between Sulfobacillus thermosulfidooxidans and Alicyclobacillus ferrooxydans","authors":"Chang Liu ,&nbsp;Xiu-Tong Li ,&nbsp;Yuqian Han ,&nbsp;Wenxing Li ,&nbsp;Yongqiang Gao ,&nbsp;Chengying Jiang ,&nbsp;Ying Liu ,&nbsp;Yanning Zheng","doi":"10.1016/j.eti.2024.104005","DOIUrl":"10.1016/j.eti.2024.104005","url":null,"abstract":"<div><div>With the growing challenges of resource shortages and environmental pollution, bioleaching has attracted increasing attention for its high potential in processing refractory and low-grade ores. However, the slow growth rate and low biomass production of autotrophic bacteria commonly used in bioleaching limit their industrial application. Here, based on high-throughput sequencing analysis, which revealed a strong positive correlation between <em>Sulfobacillus</em> and <em>Alicyclobacillus</em> in mining environments, we developed a mixed-bacterial system composed of <em>Sulfobacillus thermosulfidooxidans</em> and <em>Alicyclobacillus ferrooxydans</em> to enhance the efficiency of bioleaching. The mixed-bacterial system achieved a pyrite leaching rate up to 91.14 %, compared to 67.54 % by <em>S. thermosulfidooxidans</em> and 17.63 % by <em>A. ferrooxydans</em>. The improved leaching performance was attributed to the increased production of total extracellular polymeric substances (EPS), higher cell density and stronger redox capacity in the bioleaching solution. This study contributes to the development of a greener and more sustainable metallurgical industry.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 104005"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143179491","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}

{"title":"Carbon sequestration in overlying methane hydrate layers via hydrate technology: Feasibility and synergistic benefits","authors":"Zhaobin Zhang ,&nbsp;Yuxuan Li ,&nbsp;Shouding Li ,&nbsp;Jianming He ,&nbsp;Zhuoran Xie ,&nbsp;Xiao Li ,&nbsp;Cheng Lu ,&nbsp;Xuwen Qin","doi":"10.1016/j.eti.2024.103957","DOIUrl":"10.1016/j.eti.2024.103957","url":null,"abstract":"<div><div>Excessive carbon dioxide emissions pose a global environmental issue, and carbon sequestration technology offers a solution. This study based on independently developed simulator proposes a novel approach for carbon dioxide sequestration in the overlying layers of methane hydrate reservoirs using carbon dioxide hydrate technology. The feasibility and risks of this method are evaluated over a time scale of 100,000 years. Results show that carbon dioxide migrates upwards after injection, forming highly saturated hydrate shells at the migration front. Within these carbon dioxide hydrate shells, a portion of the carbon dioxide is sequestered in liquid and dissolved forms; however, over tens of thousands of years, 20 % of the CO₂ will dissolve, while less than 1 % will escape. The study highlights the synergy between methane hydrate extraction and carbon sequestration, as the cold seawater down draw effect from extraction enhances sequestration efficiency and safety. Given the widespread distribution of methane hydrate reservoirs globally, this research provides new insights into carbon sequestration technology.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103957"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143177874","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}

{"title":"The novel Dirammox process for advanced nitrogen removal from high COD content and ammonium-rich wastewater","authors":"Wei Xie ,&nbsp;Xi-Yan Gao ,&nbsp;Mei-Lin Zheng ,&nbsp;Ze-Bao Tan ,&nbsp;Ying Liu ,&nbsp;Luyan Ma ,&nbsp;Zhi-Pei Liu","doi":"10.1016/j.eti.2024.103960","DOIUrl":"10.1016/j.eti.2024.103960","url":null,"abstract":"<div><div>Direct ammonia oxidation (Dirammox) is a novel inorganic nitrogen metabolism pathway identified in the genus <em>Alcaligenes</em>, which could convert ammonia to N₂ under aerobic conditions. With the remarkable nitrogen removal capabilities of this pathway, the heterotrophic genus <em>Alcaligenes</em> has considerable potential to efficiently and simultaneously remove nitrogen and organic matter from high chemical oxygen demand (COD) content and ammonium-rich wastewater. A novel lab-scale continuous-flow process termed “Dirammox membrane bio-reactor” (DMBR) was run over 9 months to test its possibility and efficiency for treating artificial ammonium-rich wastewater. There was stable performance, achieving an average ammonia removal (AR) of 95.4 %, total nitrogen removal (TNR) of 88.1 %, and COD removal of 95.0 %, with influent NH₄⁺-N concentrations up to 600 mg/L and COD of 7800 mg/L. Dirammox bacteria dominated the functional community with a relative abundance of 5.70 %. The total denitrifying bacteria was only 0.13 %. Nitrifying bacteria were not detected. The relative abundance of denitrification and ammonia oxidation genes (<em>amoA</em>, <em>hao</em>) was low. The copy number of <em>dnfA</em> was 7.59 × 10⁹/mg SS (dry), exceeding <em>nirS</em> [2.23 × 10⁴/mg SS (dry)]. Aerobic denitrification was inactive in the activated sludge. The Dirammox pathway removed ammonia and total nitrogen (TN), but not those employed in traditional nitrogen removal techniques. In summary, the Dirammox process efficiently removes organic matter and TN while preventing harmful nitrogen compound formation, offering a novel, sustainable, and more efficient solution for treating high COD content and ammonium-rich wastewater.</div></div>","PeriodicalId":11725,"journal":{"name":"Environmental Technology & Innovation","volume":"37 ","pages":"Article 103960"},"PeriodicalIF":6.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143178346","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}