Pub Date : 2026-02-12DOI: 10.1016/j.psep.2026.108590
Chen Chen , Ridong Zhang , Furong Gao
Industrial process fault diagnosis is crucial for ensuring production safety and quality. Although significant progress has been made in fault diagnosis methods based on deep learning, existing models still have limitations. Traditional Convolutional Neural Networks (CNNs) struggle to capture long-term dependencies in time series, while Recurrent Neural Networks (RNNs) and their variants have weak perception of key local features. Furthermore, most studies adopt simple serial models, failing to fully utilize spatial and temporal modal information in data, leading to incomplete feature extraction and limited model generalization ability. To address the aforementioned issues, this paper proposes a hybrid deep learning model, TCN-SENet+BiGRU-GlobalAttention (TSBG), that integrates Temporal Convolutional Networks (TCNs), Squeeze-and-Excitation (SE) channel attention mechanism, Bidirectional Gated Recurrent Unit (BiGRU) and global attention mechanism. This model captures the "spatial features" of data through the TCN-SENet branch, which are features extracted from the multivariable channel dimension, extracts temporal dependencies and important temporal features using BiGRU combined with global attention mechanism and finally achieves effective feature integration through a fusion module. The proposed method has been tested on the Tennessee-Eastman (TE) dataset and the industrial coke furnace dataset and the results show that the TSBG-Net model performs better in fault detection and diagnosis.
{"title":"Deep parallel feature fusion network with temporal convolutional network and bidirectional gated recurrent unit for industrial process modeling and fault diagnosis","authors":"Chen Chen , Ridong Zhang , Furong Gao","doi":"10.1016/j.psep.2026.108590","DOIUrl":"10.1016/j.psep.2026.108590","url":null,"abstract":"<div><div>Industrial process fault diagnosis is crucial for ensuring production safety and quality. Although significant progress has been made in fault diagnosis methods based on deep learning, existing models still have limitations. Traditional Convolutional Neural Networks (CNNs) struggle to capture long-term dependencies in time series, while Recurrent Neural Networks (RNNs) and their variants have weak perception of key local features. Furthermore, most studies adopt simple serial models, failing to fully utilize spatial and temporal modal information in data, leading to incomplete feature extraction and limited model generalization ability. To address the aforementioned issues, this paper proposes a hybrid deep learning model, TCN-SENet+BiGRU-GlobalAttention (TSBG), that integrates Temporal Convolutional Networks (TCNs), Squeeze-and-Excitation (SE) channel attention mechanism, Bidirectional Gated Recurrent Unit (BiGRU) and global attention mechanism. This model captures the \"spatial features\" of data through the TCN-SENet branch, which are features extracted from the multivariable channel dimension, extracts temporal dependencies and important temporal features using BiGRU combined with global attention mechanism and finally achieves effective feature integration through a fusion module. The proposed method has been tested on the Tennessee-Eastman (TE) dataset and the industrial coke furnace dataset and the results show that the TSBG-Net model performs better in fault detection and diagnosis.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"209 ","pages":"Article 108590"},"PeriodicalIF":7.8,"publicationDate":"2026-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146160986","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}
The rapid accumulation of polycarbonate (PC) waste has driven the development of efficient recycling methods. This study presents a comprehensive investigation of solvent-assisted chemical recycling of PC using glycerol, a renewable chemical derived from industrial waste streams. Solvent screening highlighted the critical influence of solvent properties such as dielectric constant, dipole moment and hydrogen-bond accepting ability on depolymerization efficiency. A systematic approach combining Design of Experiments (DoE) and Response Surface Methodology (RSM) was employed to optimize the depolymerization process. Using a Box–Behnken design (BBD), the effects of key process parameters, including temperature, reaction time and the glycerol (GLY:PC) and dimethylformamide (DMF:PC) weight ratios, were evaluated in terms of PC conversion and bisphenol A (BPA) yield. The optimization model predicted that a reaction temperature of 171 °C, a reaction time of 1 h and a PC:GLY:DMF ratio of 1:5.05:7.22 would yield 100 % PC conversion and 85 % BPA yield. Experimental validation under these conditions achieved 100 % PC conversion and 83 % BPA yield, confirming the reliability of the model. Product characterization using NMR, LC–HRMS and FTIR confirmed the purity of BPA and provided insights into the reaction mechanism. The solvent recyclability across successive reaction cycles demonstrated the environmental and economic viability of the process. Overall, the energy demand calculation based on the environmental energy impact factor (ξ) highlights the industrial relevance of this work and demonstrate an efficient and environmentally friendly catalyst-free route for depolymerization of polycarbonate with strong potential for industrial implementation.
{"title":"Solvent-assisted chemical recycling of polycarbonate using glycerol as a renewable chemical: Mechanistic insights and statistical optimization","authors":"Nishant Markandeya , Mayur Jadhav , Prafulla Gopale , Karthick Ramalingam , Sanjay Kamble","doi":"10.1016/j.psep.2026.108592","DOIUrl":"10.1016/j.psep.2026.108592","url":null,"abstract":"<div><div>The rapid accumulation of polycarbonate (PC) waste has driven the development of efficient recycling methods. This study presents a comprehensive investigation of solvent-assisted chemical recycling of PC using glycerol, a renewable chemical derived from industrial waste streams. Solvent screening highlighted the critical influence of solvent properties such as dielectric constant, dipole moment and hydrogen-bond accepting ability on depolymerization efficiency. A systematic approach combining Design of Experiments (DoE) and Response Surface Methodology (RSM) was employed to optimize the depolymerization process. Using a Box–Behnken design (BBD), the effects of key process parameters, including temperature, reaction time and the glycerol (GLY:PC) and dimethylformamide (DMF:PC) weight ratios, were evaluated in terms of PC conversion and bisphenol A (BPA) yield. The optimization model predicted that a reaction temperature of 171 °C, a reaction time of 1 h and a PC:GLY:DMF ratio of 1:5.05:7.22 would yield 100 % PC conversion and 85 % BPA yield. Experimental validation under these conditions achieved 100 % PC conversion and 83 % BPA yield, confirming the reliability of the model. Product characterization using NMR, LC–HRMS and FTIR confirmed the purity of BPA and provided insights into the reaction mechanism. The solvent recyclability across successive reaction cycles demonstrated the environmental and economic viability of the process. Overall, the energy demand calculation based on the environmental energy impact factor (ξ) highlights the industrial relevance of this work and demonstrate an efficient and environmentally friendly catalyst-free route for depolymerization of polycarbonate with strong potential for industrial implementation.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"209 ","pages":"Article 108592"},"PeriodicalIF":7.8,"publicationDate":"2026-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146161114","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}
Pub Date : 2026-02-10DOI: 10.1016/j.psep.2026.108588
Ping Li , Yihui Jiang , Di Wu , Jian Guo , Jinwei Xu , Yiwen Xu , Bo Ke , Songlin Zhang , Qiangling Duan
With the rapid growth of hydrogen energy technologies, safety hazards associated with high-pressure hydrogen release in confined enclosures have become a critical concern. This study experimentally investigates hydrogen combustion and explosion induced by self-ignition flames following high-pressure hydrogen leakage. The effects of axial obstruction and ventilation conditions on flame dynamics, temperature evolution, and overpressure development were systematically examined. Results show that when the hydrogen jet is unobstructed, most hydrogen exits the enclosure and burns externally, while a symmetric flame forms along the central axis inside the enclosure. In contrast, axial obstruction generates complex turbulent flow, leading to spatially non-uniform hydrogen/air mixtures. The self-ignition flame first ignites the central mixture, and combustion propagates throughout the enclosure, producing higher peak temperatures, longer combustion durations, and pronounced overpressure oscillations, including initial negative pressures. Increasing the ventilation area under obstructed conditions enhances air entrainment, further intensifying combustion. These findings reveal that combustion mechanisms and associated hazards are fundamentally different between obstructed and unobstructed hydrogen releases. The study provides critical experimental evidence and mechanistic insights for the design of safe hydrogen storage, handling, and transportation systems in confined environments.
{"title":"Experimental investigation of hydrogen self-ignition and explosion in confined enclosures: Influence of axial obstruction and ventilation","authors":"Ping Li , Yihui Jiang , Di Wu , Jian Guo , Jinwei Xu , Yiwen Xu , Bo Ke , Songlin Zhang , Qiangling Duan","doi":"10.1016/j.psep.2026.108588","DOIUrl":"10.1016/j.psep.2026.108588","url":null,"abstract":"<div><div>With the rapid growth of hydrogen energy technologies, safety hazards associated with high-pressure hydrogen release in confined enclosures have become a critical concern. This study experimentally investigates hydrogen combustion and explosion induced by self-ignition flames following high-pressure hydrogen leakage. The effects of axial obstruction and ventilation conditions on flame dynamics, temperature evolution, and overpressure development were systematically examined. Results show that when the hydrogen jet is unobstructed, most hydrogen exits the enclosure and burns externally, while a symmetric flame forms along the central axis inside the enclosure. In contrast, axial obstruction generates complex turbulent flow, leading to spatially non-uniform hydrogen/air mixtures. The self-ignition flame first ignites the central mixture, and combustion propagates throughout the enclosure, producing higher peak temperatures, longer combustion durations, and pronounced overpressure oscillations, including initial negative pressures. Increasing the ventilation area under obstructed conditions enhances air entrainment, further intensifying combustion. These findings reveal that combustion mechanisms and associated hazards are fundamentally different between obstructed and unobstructed hydrogen releases. The study provides critical experimental evidence and mechanistic insights for the design of safe hydrogen storage, handling, and transportation systems in confined environments.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"209 ","pages":"Article 108588"},"PeriodicalIF":7.8,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153054","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}
Pub Date : 2026-02-10DOI: 10.1016/j.psep.2026.108578
Hui-Fei Lyu, Fu-Xing Shen, Yue Li, Cai-Ping Wang, Jun Deng, Wei-Feng Wang
The thermal generation and transfer effects during the spontaneous combustion of coal–based activated carbon (CBAC) and its precursors were investigated using differential scanning calorimeter (DSC) and thermal physical parameters experiments. The apparent activation energy (Ea) was calculated employing the equal transformation model–free method Friedman (FR). Following carbonization and activation, the pore structure of the carbonized material sample (CMS) and the activated material sample (AMS) was found to be more developed compared to that of the briquette material sample (BMS). This enhanced pore structure facilitates the physical and chemical adsorption of oxygen during spontaneous combustion. Volatiles in the CMS and AMS were consumed, with consumption being significantly greater in the AMS. The overall exothermic process of CMS and AMS lagged behind that of BMS, with the lag being particularly pronounced for AMS. The enthalpy changes for all three samples indicated exothermic behavior, with the total thermal released decreasing in the order of BMS, CMS, and AMS. The average Ea values for the BMS stages D2–D4 were 54.77, 116.77, and 80.16 kJ/mol, respectively. For CMS, the corresponding values were 70.04, 40.33, and 76.61 kJ/mol. The Ea for the AMS stage D2 was 64.97 kJ/mol. The higher Ea values for BMS in stages D3 and D4 compared to CMS indicate that CMS is more prone to reaction in these stages. At identical temperatures, thermal diffusivity (TD) and thermal conductivity (TC) decreased in the order of BMS, CMS, and AMS, while specific heat capacity (SH) decreased in the opposite order. During the initial stage (30–300°C) of the spontaneous combustion reaction, internal thermal in CMS and AMS is not easily diffused. Furthermore, their heat storage capacity is enhanced, thermal conductivity is reduced, and heat transfer performance is weakened. These factors may increase the spontaneous combustion propensity of CMS and AMS, making them susceptible to thermal accumulation and ignition under piled conditions.
{"title":"Research on spontaneous combustion thermal generation and transfer effects of coal–based activated carbon and its precursors","authors":"Hui-Fei Lyu, Fu-Xing Shen, Yue Li, Cai-Ping Wang, Jun Deng, Wei-Feng Wang","doi":"10.1016/j.psep.2026.108578","DOIUrl":"10.1016/j.psep.2026.108578","url":null,"abstract":"<div><div>The thermal generation and transfer effects during the spontaneous combustion of coal–based activated carbon (CBAC) and its precursors were investigated using differential scanning calorimeter (DSC) and thermal physical parameters experiments. The apparent activation energy (<em>E</em><sub>a</sub>) was calculated employing the equal transformation model–free method Friedman (FR). Following carbonization and activation, the pore structure of the carbonized material sample (CMS) and the activated material sample (AMS) was found to be more developed compared to that of the briquette material sample (BMS). This enhanced pore structure facilitates the physical and chemical adsorption of oxygen during spontaneous combustion. Volatiles in the CMS and AMS were consumed, with consumption being significantly greater in the AMS. The overall exothermic process of CMS and AMS lagged behind that of BMS, with the lag being particularly pronounced for AMS. The enthalpy changes for all three samples indicated exothermic behavior, with the total thermal released decreasing in the order of BMS, CMS, and AMS. The average <em>E</em><sub>a</sub> values for the BMS stages D<sub>2</sub>–D<sub>4</sub> were 54.77, 116.77, and 80.16 kJ/mol, respectively. For CMS, the corresponding values were 70.04, 40.33, and 76.61 kJ/mol. The <em>E</em><sub>a</sub> for the AMS stage D<sub>2</sub> was 64.97 kJ/mol. The higher <em>E</em><sub>a</sub> values for BMS in stages D<sub>3</sub> and D<sub>4</sub> compared to CMS indicate that CMS is more prone to reaction in these stages. At identical temperatures, thermal diffusivity (TD) and thermal conductivity (TC) decreased in the order of BMS, CMS, and AMS, while specific heat capacity (SH) decreased in the opposite order. During the initial stage (30–300°C) of the spontaneous combustion reaction, internal thermal in CMS and AMS is not easily diffused. Furthermore, their heat storage capacity is enhanced, thermal conductivity is reduced, and heat transfer performance is weakened. These factors may increase the spontaneous combustion propensity of CMS and AMS, making them susceptible to thermal accumulation and ignition under piled conditions.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"209 ","pages":"Article 108578"},"PeriodicalIF":7.8,"publicationDate":"2026-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146153011","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}
Pub Date : 2026-02-09DOI: 10.1016/j.psep.2026.108584
Xiang Li , Jintao Gao , Xi Lan , Anjun Shi , Zhancheng Guo
Crude lead is a hazardous material containing large amounts of heavy metals. However, due to the outdated equipment of copper removal process, resulting in a large lead loss. In this study, a new method for efficient purification of crude lead to prevent lead loss based on Pb-Cu interface properties and phase separation under supergravity field was proposed. The effect of Cu content in crude lead on the temperature range for Cu phase precipitation was investigated, revealing that as the Cu content increased from 0.5 to 4 wt%, the precipitation temperature range of the Cu phase expanded from 400–330 ℃ to 800–330 ℃. Then, the highly efficient purification of crude lead was all accomplished under 330 ℃ by supergravity separation and the Cu contents were lowered to 0.0718 wt% in the Pb liquid and the Cu phase removal rate reached over 99.9 %. In order to reduce the lead loss, the Pb-Cu interface properties and separation process model were investigated, which showed that increasing the temperature in supergravity field could reduce the height of Pb liquid on the surface of the Cu phase. Finally, the Pb-Cu separation behavior was researched, revealing a quantitative relationship between lead loss and Cu content in crude lead and separation temperature. Base on the above results, corresponding copper removal process routes were designed for crude lead with different Cu contents.
{"title":"Efficient purification of crude lead to prevent lead loss based on Pb-Cu interface properties and phase separation under supergravity field","authors":"Xiang Li , Jintao Gao , Xi Lan , Anjun Shi , Zhancheng Guo","doi":"10.1016/j.psep.2026.108584","DOIUrl":"10.1016/j.psep.2026.108584","url":null,"abstract":"<div><div>Crude lead is a hazardous material containing large amounts of heavy metals. However, due to the outdated equipment of copper removal process, resulting in a large lead loss. In this study, a new method for efficient purification of crude lead to prevent lead loss based on Pb-Cu interface properties and phase separation under supergravity field was proposed. The effect of Cu content in crude lead on the temperature range for Cu phase precipitation was investigated, revealing that as the Cu content increased from 0.5 to 4 wt%, the precipitation temperature range of the Cu phase expanded from 400–330 ℃ to 800–330 ℃. Then, the highly efficient purification of crude lead was all accomplished under 330 ℃ by supergravity separation and the Cu contents were lowered to 0.0718 wt% in the Pb liquid and the Cu phase removal rate reached over 99.9 %. In order to reduce the lead loss, the Pb-Cu interface properties and separation process model were investigated, which showed that increasing the temperature in supergravity field could reduce the height of Pb liquid on the surface of the Cu phase. Finally, the Pb-Cu separation behavior was researched, revealing a quantitative relationship between lead loss and Cu content in crude lead and separation temperature. Base on the above results, corresponding copper removal process routes were designed for crude lead with different Cu contents.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"209 ","pages":"Article 108584"},"PeriodicalIF":7.8,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146223","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}
Pub Date : 2026-02-09DOI: 10.1016/j.psep.2026.108581
Yu Wang , Fei Wu , Hang Zhang , Zhenyu Ouyang , Yuhua Su , Hailiang Yin , Fanwei Meng , Qiyou Liu
The synergistic effect between microbial-induced corrosion (MIC) and under-deposit corrosion (UDC) presents a significant threat to the integrity of oil pipelines. This study investigates the corrosion behavior of X65 carbon steel under the influence of living microorganisms within pipeline deposits. The experiment was divided into three groups: unsterilized deposit group, sterilized deposit group, and control group. A combination of high-throughput sequencing, quantitative PCR, weight loss measurements, electrochemical tests, and surface characterization revealed that viable microorganisms drastically exacerbate UDC. Live microorganisms significantly enhanced the corrosion rate and maximum pitting depth by approximately 4.1 and 12.8 times, respectively, compared to the sterilized deposit group. Analysis of the microbial community revealed a successional shift, with sulfate-reducing bacteria (SRB), predominantly the genus Desulfovibrio, displacing nitrate-reducing bacteria (NRB) as the dominant population. The metabolic activity of SRB led to the formation of corrosive FeS and a porous, non-protective corrosion product film, which reduced film resistance (Rf) and accelerated metal dissolution. These findings indicate deposits in oil pipelines exacerbate localized corrosion by promoting the colonization and enrichment of corrosion-promoting microorganisms such as SRBs. Their metabolic products, combined with the resulting corrosion byproducts, further increase the overall burden of the deposits, creating a vicious cycle.
{"title":"Accelerated under-deposit corrosion of X65 steel driven by a vicious microbe-deposit cycle","authors":"Yu Wang , Fei Wu , Hang Zhang , Zhenyu Ouyang , Yuhua Su , Hailiang Yin , Fanwei Meng , Qiyou Liu","doi":"10.1016/j.psep.2026.108581","DOIUrl":"10.1016/j.psep.2026.108581","url":null,"abstract":"<div><div>The synergistic effect between microbial-induced corrosion (MIC) and under-deposit corrosion (UDC) presents a significant threat to the integrity of oil pipelines. This study investigates the corrosion behavior of X65 carbon steel under the influence of living microorganisms within pipeline deposits. The experiment was divided into three groups: unsterilized deposit group, sterilized deposit group, and control group. A combination of high-throughput sequencing, quantitative PCR, weight loss measurements, electrochemical tests, and surface characterization revealed that viable microorganisms drastically exacerbate UDC. Live microorganisms significantly enhanced the corrosion rate and maximum pitting depth by approximately 4.1 and 12.8 times, respectively, compared to the sterilized deposit group. Analysis of the microbial community revealed a successional shift, with sulfate-reducing bacteria (SRB), predominantly the genus <em>Desulfovibrio</em>, displacing nitrate-reducing bacteria (NRB) as the dominant population. The metabolic activity of SRB led to the formation of corrosive FeS and a porous, non-protective corrosion product film, which reduced film resistance (R<sub>f</sub>) and accelerated metal dissolution. These findings indicate deposits in oil pipelines exacerbate localized corrosion by promoting the colonization and enrichment of corrosion-promoting microorganisms such as SRBs. Their metabolic products, combined with the resulting corrosion byproducts, further increase the overall burden of the deposits, creating a vicious cycle.</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"209 ","pages":"Article 108581"},"PeriodicalIF":7.8,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146264","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}
Pub Date : 2026-02-09DOI: 10.1016/j.psep.2026.108583
Peng Yang , Rongfang Yuan , Shuming Liu , Beihai Zhou , Huilun Chen
The characteristics of pollutant removal, greenhouse gases (GHG) emissions and microbial community changes in two subsurface wastewater infiltration systems (SWIS), SWIS A (with biochar) and SWIS B (without biochar) under different hydraulic loading rate (HLR) conditions were experimentally studied. The results showed that biochar significantly improved the system's resistance to load shock by adsorbing pollutants and promoting microbial growth. The COD removal rate is maintained above 82 %, and biochar promoted nitrogen removal by enriching denitrifying bacteria at low HLR (0.05 ∼ 0.10 m3·m−2·d−1). In addition, the aerobic state of low HLR leads to the increase of CO2 and N2O emissions, and the upper anoxic state of high HLR weakens the nitrification, resulting in the accumulation of NH4+-N. Controlling HLR at 0.10 ∼ 0.15 m3·m−2·d−1 can effectively achieve the purpose of pollutant removal and GHG emission reduction. At the phylum level, Proteobacteria, Chloroflexi, and Actinobacteriota, and at the genus level, Arthrobacter, norank_o_Vicinamibacterales, and norank_c_KD4–96 are the dominant microbial groups primarily responsible for the treatment capacity of the SWIS. Research indicates that COD removal is associated with Myxococcota and norank_o_Gaiellales, while NH4+-N transformation is mainly driven by Firmicutes and Patescibacteria. CO2 and N2O fluxes are closely related to ammonia-oxidizing bacteria such as Ellin6067, whereas CH4 flux is synergistically regulated by Gemmatimonadota (promoting) and Actinobacteriota (inhibiting).
{"title":"Pollutant removal mechanism and greenhouse gas emission reduction strategy of biochar modified subsurface wastewater infiltration system driven by hydraulic load","authors":"Peng Yang , Rongfang Yuan , Shuming Liu , Beihai Zhou , Huilun Chen","doi":"10.1016/j.psep.2026.108583","DOIUrl":"10.1016/j.psep.2026.108583","url":null,"abstract":"<div><div>The characteristics of pollutant removal, greenhouse gases (GHG) emissions and microbial community changes in two subsurface wastewater infiltration systems (SWIS), SWIS A (with biochar) and SWIS B (without biochar) under different hydraulic loading rate (HLR) conditions were experimentally studied. The results showed that biochar significantly improved the system's resistance to load shock by adsorbing pollutants and promoting microbial growth. The COD removal rate is maintained above 82 %, and biochar promoted nitrogen removal by enriching denitrifying bacteria at low HLR (0.05 ∼ 0.10 m<sup>3</sup>·m<sup>−2</sup>·d<sup>−1</sup>). In addition, the aerobic state of low HLR leads to the increase of CO<sub>2</sub> and N<sub>2</sub>O emissions, and the upper anoxic state of high HLR weakens the nitrification, resulting in the accumulation of NH<sub>4</sub><sup>+</sup>-N. Controlling HLR at 0.10 ∼ 0.15 m<sup>3</sup>·m<sup>−2</sup>·d<sup>−1</sup> can effectively achieve the purpose of pollutant removal and GHG emission reduction. At the phylum level, Proteobacteria, Chloroflexi, and Actinobacteriota, and at the genus level, <em>Arthrobacter</em>, <em>norank_o_Vicinamibacterales</em>, and <em>norank_c_KD4–96</em> are the dominant microbial groups primarily responsible for the treatment capacity of the SWIS. Research indicates that COD removal is associated with Myxococcota and <em>norank_o_Gaiellales</em>, while NH<sub>4</sub><sup>+</sup>-N transformation is mainly driven by Firmicutes and Patescibacteria. CO<sub>2</sub> and N<sub>2</sub>O fluxes are closely related to ammonia-oxidizing bacteria such as <em>Ellin6067</em>, whereas CH<sub>4</sub> flux is synergistically regulated by Gemmatimonadota (promoting) and Actinobacteriota (inhibiting).</div></div>","PeriodicalId":20743,"journal":{"name":"Process Safety and Environmental Protection","volume":"209 ","pages":"Article 108583"},"PeriodicalIF":7.8,"publicationDate":"2026-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146146224","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}