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Improved PM2.5 prediction with spatio-temporal feature extraction and chemical components: The RCG-attention model

Science of the Total environment 2024年 955卷 177183页

作者： Li, Ao Wang, Yafei Qi, Qianqian Li, Yunfeng Jia, Haixia Zhou, Xin Guo, Haixin Xie, Shuyang Liu, Junfeng Mu, Yujing Beijing Institute of Petrochemical Technology China Beijing Daxing District Ecology and Environment Bureau China Agro-Environmental Protection Institute Ministry of Agriculture and Rural Affairs Tianjin300191 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-environmental Sciences Chinese Academy of Sciences Beijing100085 China State Key Joint Laboratory of Environment Simulation and Pollution Control College of Environmental Sciences and Engineering Peking University Beijing100871 China

Deep learning models are widely used for PM2.5 prediction. However, neglecting temporal and spatial characteristics leads to low prediction accuracy. In this work, a new deep learning model (RCG - Attention model) was developed, which combines the residual neural network (ResNet) and the convolution gated recurrent network (ConvGRU) and is applied to extract the spatio - temporal features for predicting PM2.5 concentration over the subsequent 24 h. The ResNet extracts the spatial distribution features of pollutants, and the ConvGRU extracts temporal features. The spatial and temporal features are fused by the multi - head attention mechanism to obtain multi - dimensional features. These features are finally fed into a series of fully connected layers to predict the future results. Incorporating these chemical components enhances the scientific validity of the dataset and strengthens the inherent logical connections among variables. The Mean Absolute Error (MAE), Mean Absolute Percentage Error (MAPE), Root Mean Square Error (RMSE), and R - squared (R2) results indicate that the prediction performance of the RCG - Attention model surpasses that of other baseline models. The model demonstrates superior prediction performance across multiple monitoring stations, suggesting robust generalization capabilities and adaptability for various regions in one city. The SHAP results show that PM10, NO2, RH, NO3−, OC and NH4+ are significant influencing features. The RCG - Attention model provides a comprehensive solution for PM2.5 concentration prediction by integrating spatial and temporal feature extraction with chemical components. © 2024 Elsevier B.V.

关键词： Prediction models

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The Response of Microbial Compositions and Functions to Chronic Single and Multiple Antibiotic Exposure by Batch Experiment

SSRN

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SSRN 2023年

作者： Li, Siling Chen, Junwen Zhao, Jian Qi, Weixiao Liu, Huijuan Center for Water and Ecology State Key Joint Laboratory of Environment Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China

Understanding the response of the microbial community to external disturbances such as micropollutants is vital for ecological risk evaluation. In this study, the effect of chronic antibiotic exposure on community compositions and functions was investigated by two batch experiments. The first experiment investigated the effect of chronic sulfamethoxazole (SMX) exposure, while the second investigated the combined effect of dissolved organic matter (DOM) sources and multi-antibiotic exposure. The results showed that the community responses to chronic antibiotic exposure depended on the dynamic balance among community resistance, adaptation, recovery, and selection, leading to nonlinear composition diversity variations. The disturbance strength of chronic SMX exposure increased with concentration (0.5–50 μg/L). However, complex sources and structures of coexisting organic matter might delay the disturbance by elevating metabolic activity and generating functional redundancy. Especially, when nutrient was a limiting factor, the disturbance strength by DOM source was greater than that by chronic antibiotic exposure. The resistance of abundant taxa to external distributions resulted in a low explanation of community diversity, while rare taxa played key roles in response to community variation and thereby affected community assembly. Long-term SMX exposure reduced the number of key species and favored the deterministic assembly process by 21%. However, elevated community adaptability might weaken the influence of antibiotic selection. Chronic SMX exposure elevated the relative abundance of sulfonamide resistance genes (sul1, sul2) by a factor of 1.2–4.3, while that of nitrogen-fixing genes (nifH, nifK) and the metabolic pathways related to the toluene, ethylbenzene, and dioxin degradation decreased. However, the combined influence of DOM sources and multi-antibiotic exposure barely caused the difference in the genes linking to element metabolism and drug resistance of mic

关键词： Antibiotics

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Synergistic PM_(2.5)and O_(3)control to address the emerging global PM_(2.5)-O_(3)compound pollution challenges

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Eco-environment & Health 2024年第3期3卷 325-337页

作者： Chao He Jianhua Liu Yiqi Zhou Jingwei Zhou Lu Zhang Yifei Wang Lu Liu Sha Peng College of Resources and Environment Yangtze UniversityWuhan 430100China Hubei Key Laboratory of Petroleum Geochemistry and Environment Yangtze UniversityWuhan 430100China School of Geography and Ocean Science Nanjing UniversityNanjing 210023China Hydrology and Environmental Hydraulics Group Wageningen University and ResearchWageningen 6700 HBthe Netherlands State Key Laboratory of Freshwater Ecology and Biotechnology Institute of HydrobiologyChinese Academy of SciencesWuhan 430072China State Key Joint Laboratory for Environmental Simulation and Pollution Control School of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China State Key Laboratory of Pollution Control and Resource Reuse School of EnvironmentNanjing UniversityNanjing 210023China Collaborative Innovation Center for Emissions Trading System Co-constructed by the Province and Ministry Hubei University of EconomicsWuhan 430205China

In recent years,the issue of PM_(2.5)-O_(3)compound pollution has become a significant global environmental *** study examines the spatial and temporal patterns of global PM_(2.5)-O_(3)compound pollution and exposure risks,firstly at the global and urban scale,using spatial statistical regression,exposure risk assessment,and trend analyses based on the datasets of daily PM_(2.5)and surface O_(3)concentrations monitored in 120 cities around the world from 2019 to ***,on the basis of the common emission sources,spatial heterogeneity,interacting chemical mechanisms,and synergistic exposure risk levels between PM_(2.5)and O_(3)pollution,we proposed a synergistic PM_(2.5)-O_(3)control framework for the joint control of PM_(2.5)and *** results indicated that:(1)Nearly 50%of cities worldwide were affected by PM_(2.5)-O_(3)compound pollution,with China,South Korea,Japan,and India being the global hotspots for PM2.5-O3 compound pollution;(2)Cities with PM_(2.5)-O_(3)compound pollution have exposure risk levels dominated by ST t ST(Stabilization)and ST t HR(High Risk).Exposure risk levels of compound pollution in developing countries are significantly higher than those in developed countries,with unequal exposure characteristics;(3)The selected cities showed significant positive spatial correlations between PM_(2.5)and O_(3)concentrations,which were consistent with the spatial distribution of the precursors NOx and VOCs;(4)During the study period,52.5%of cities worldwide achieved synergistic reductions in annual average PM_(2.5)and O_(3)*** average PM_(2.5)concentration in these cities decreased by 13.97%,while the average O_(3)concentration decreased by 19.18%.This new solution offers the opportunity to construct intelligent and healthy cities in the upcoming low–carbon transition.

关键词： PM_(2.5)-O_(3)compound pollution Population exposure risk Spatial correlation Synergistic treatment potential

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A magnetic-void-porous MnFe_(2)O_(4)/carbon microspheres nano-catalyst for catalytic ozonation:Preparation,performance and mechanism

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environmental Science and Ecotechnology 2021年第3期7卷 35-47页

作者： Xiaoguang Jin Changyong Wu Xiangmiao Tian Panxin Wang Yuexi Zhou Jiane Zuo State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China State Key Laboratory of Environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing100012China Research Center of Environmental Pollution Control Engineering Technology Chinese Research Academy of Environment SciencesBeijing100012China

Wastewater treatment is essential to guarantee human health and ecological *** ozonation with nanocatalysts is a widely studied and efficient treatment ***,this method has always been limited by nanocatalysts disadvantages such as easily loss,difficult to separate and reuse,and catalytic ability decay caused by aggregation,which could cause severe resources waste and potential risk to human health and *** remedy these challenges,a magnetic-void-porous MnFe_(2)O_(4)/carbon microsphere shell nanocatalyst(CMS-MnFe_(2)O_(4))was successfully synthesized using renewable natural *** separation test showed CMS-MnFe_(2)O_(4) was rapidly separated within 2 min under an external magnetic *** catalytic ozonation of oxalic acid(OA),CMS-MnFe_(2)O_(4) showed efficient and stable catalytic efficiency,reaching a maximum total organic carbon removal efficiency of 96.59% and maintained a 93.88% efficiency after 4 *** stable catalytic efficiency was due to the supporting effects of the carbon microsphere shell,which significantly enhanced CMS-MnFe_(2)O_(4) chemical stability and reduced the metal ions leaching to 10-20% of MnFe_(2)O_(4) through electron *** explore the catalytic mechanism,radical experiments were conducted and a new degradation pathway of OA involving superoxide anions rather than hydroxyl radicals was ***,this study suggests that an efficient,recyclable,stable,and durable catalyst for catalytic ozonation could be prepared.

关键词： Catalytic ozonation Magnetic nanocatalyst Separation recycling Catalytic mechanism Metal leaching

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Elevated Atmospheric CO_(2)Reduced Antibiotics Accumulation in Rice Grains and Soil ARGs Abundance in Multiple Antibiotics-contaminated Paddy Fields

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Chemical Research in Chinese Universities 2023年第3期39卷 455-464页

作者： WANG Yabo XU Meiling WANG Xiaojie AI Fuxun DU Wenchao YIN Ying JI Rong GUO Hongyan State Key Laboratory of Pollution Control and Resource Reuse School of EnvironmentNanjing UniversityNanjing210023China Joint International Research Centre for Critical Zone Science-University of Leeds and Nanjing University Nanjing UniversityNanjing210023China School of Environment Nanjing Normal UniversityNanjing210036China College of Environmental Science and Engineering Yangzhou UniversityYangzhou225127China

Antibiotic resistance genes(ARGs)as new pollutants have become a global environmental pollution problem in recent *** atmospheric CO_(2) is one of the major factors affecting global climate ***,the impacts of elevated CO_(2) on soil ARGs in multiple antibiotics-contaminated paddy soils are largely *** this study,six antibiotics including sulfadiazine(SDZ),sulfamethoxazole(SMZ),tetracycline(TC),oxytetracycline(OTC),enrofloxacin(ENR),and ciprofloxacin(CIP)were selected to investigate their combined effects on rice biomass,antibiotics accumulation,soil bacterial community and ARGs under elevated CO_(2) *** showed that elevated CO_(2) significantly reduced the accumulation of SMZ,OTC,ENR,and CIP in rice grains by 18.98%,20.07%,41.73%,and 44.25%,*** CO_(2) could affect soil microbialβ-diversity,and tend to reduce the microbial functions of human diseases,organismal systems,and genetic information *** addition,elevated CO_(2) significantly decreased the abundance of sulfonamide ARGs,tetracycline ARGs,and quinolone ARGs by 19.59%,18.58%,and 28.96%,respectively,while increased that of multidrug ARGs by 11.54%.Overall,this study emphasized that elevated CO_(2) may mitigate the threat of antibiotics contamination to rice food security but aggravate the environmental risk of multidrug ARGs in soil,contributing to a better understanding of the consequences of elevated CO_(2) levels on food security and soil ecological health in multiple antibiotics-contaminated paddy fields.

关键词： Antibiotics Antibiotic resistance gene(ARG) Bacterial community Elevated CO_(2) Rice

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Biodiversity conservation and ecological restoration of vulnerable ecosystems in the Anthropocene

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Journal of Plant Ecology 2024年第5期17卷 1-4页

作者： Zhonghua Ning Tian Xie Xinxin Wang Zhenchang Zhu Cong Chen Baoshan Cui Key Laboratory of Ecological Protection in the Yellow River Basin of National Forestry and Grassland Administration School of Ecology and Nature ConservationBeijing Forestry UniversityBeijing 100083China State Key Joint Laboratory of Environmental Simulation and Pollution Control School of EnvironmentBeijing Normal UniversityBeijing 100875China Ministry of Education Key Laboratory for Biodiversity Science and Ecological Engineering National Observations and Research Station for Wetland Ecosystems of the Yangtze EstuarySchool of Life ScienceFudan UniversityShanghai 200433China School of Ecology Environment and ResourcesGuangdong University of TechnologyGuangzhou 510006China Research and Development Center for Watershed Environmental Eco-engineering Advanced Institute of Natural SciencesBeijing Normal UniversityZhuhai 519087China

This editorial summarizes the contributions to the Special Issue Biodiversity conservation and ecological restoration of vulnerable ecosystems in the Anthropocene',established under the Journal of Plant Ecology.

关键词： Biodiversity ecosystems restoration

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Using loose nanofiltration membrane for lake water treatment:A pilot study

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Frontiers of environmental Science & Engineering 2021年第4期15卷 251-261页

作者： Danyang Liu Johny Cabrera Lijuan Zhong Wenjing Wang Dingyuan Duan Xiaomao Wang Shuming Liu Yuefeng F.Xie State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing100084China Chengdu Xingrong Environmental Co. Ltd.Chengdu610041China Civil and Environmental Programs Penn State UniversityMiddletownPA17057USA

Nanofiltration(NF)using loose membranes has a high application potential for advanced treatment of drinking water by selectively removing contaminants from the water,while membrane fouling remains one of the biggest problems of the *** paper reported a seven-month pilot study of using a loose NF membrane to treat a sand filtration effluent which had a relatively high turbidity(∼0.4 NTU)and high concentrations of organic matter(up to 5 mg/L as TOC),hardness and *** showed that the membrane demonstrated a high rejection of TOC(by<90%)and a moderately high rejection of two pesticides(54%–82%)while a moderate rejection of both calcium and magnesium(∼45%)and a low rejection of total dissolved solids(∼27%).The membrane elements suffered from severe membrane fouling,with the membrane permeance decreased by 70%after 85 days *** membrane fouling was dominated by organic fouling,while biological fouling was *** fouling was mainly caused by deposition of aluminum-bearing *** inorganic foulants were minor contents on membrane,their contribution to overall membrane fouling was *** fouling was not uniform on *** contents of organic and inorganic foulants were the highest at the inlet and outlet region,respectively,the severity of membrane fouling increased from the inlet to the outlet region of membrane element with a difference higher than 30%.While alkaline cleaning was not effective in removing the membrane foulants,the use of ethylenediamine tetraacetate(EDTA)at alkaline conditions could effectively restore the membrane permeance.

关键词： Nanofiltration Drinking water Membrane fouling Aluminum carryover Chemical cleaning

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CeO_(2) doping boosted low-temperature NH3-SCR activity of FeTiOx catalyst:A microstructure analysis and reaction mechanistic study

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Frontiers of environmental Science & Engineering 2022年第5期16卷 69-81页

作者： Wei Tan Shaohua Xie Wenpo Shan Zhihua Lian Lijuan Xie Annai Liu Fei Gao Lin Dong Hong He Fudong Liu Department of Civil Environmentaland Construction EngineeringCatalysis Cluster for Renewable Energy and Chemical Transformations(REACT)NanoScience Technology Center(NSTC)University of Central FloridaOrlandoFL32816USA Key Laboratory of Mesoscopic Chemistry of MOE School of Chemistry and Chemical EngineeringJiangsu Key Laboratory of Vehicle Emissions ControlSchool of EnvironmentCenter of Modern AnalysisNanjing UniversityNanjing 210023China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China Key Laboratory of Urban Pollutant Conversion Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China Institute of Engineering Technology Sinopec Catalyst Co.Ltd.Sinopec GroupBeijing 101111China

FeTiOx has been recognized as an environmental-friendly and cost-effective catalyst for selective catalytic reduction(SCR)of NOx with *** at further improving the low-temperature DeNOx efficiency of FeTiOx catalyst,a simple strategy of CeO_(2) doping was *** low-temperature(<250°C)NH3-SCR activity of FeTiOx catalyst could be dramatically enhanced by CeO2 doping,and the optimal composition of the catalyst was confirmed as FeCe_(0.2)TiOx,which performed a NOx conversion of 90%at ca.200°*** to X-ray diffraction(XRD),Raman spectra and X-ray absorption fine structure spectroscopy(XAFS)analysis,FeCe_(0.2)TiOx showed low crystallinity,with Fe and Ce species well mixed with each *** on the fitting results of extended X-ray absorption fine structure(EXAFS),a unique Ce-O-Fe structure was formed in FeCe_(0.2)TiOx *** well improved specific surface area and the newly formed Ce-O-Fe structure dramatically contributed to the improvement of the redox property of FeCe_(0.2)TiOx catalyst,which was well confirmed by H2-temperature-programmed reduction(H2-TPR)and in situ XAFS *** enhanced redox capability could benefit the activation of NO and NH_(3) at low temperatures for NOx *** detailed reaction mechanism study further suggested that the facile oxidative dehydrogenation of NH_(3) to highly reactive-NH_(2) played a key role in enhancing the low-temperature NH_(3)-SCR performance of FeCe_(0.2)TiOx catalyst.

关键词： NH3-SCR CeO_(2)doping Low-temperature NOx removal Improved redox property In situ XAFS analysis

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Assessing the Significance of Regional Transport in Ozone pollution through Machine Learning: A Case Study of Hainan Island

ACS ES&T Air

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ACS ES&T Air 2025年第3期2卷 416-425页

作者： Jun Liu Meiru Chen Biwu Chu Tianzeng Chen Qingxin Ma Yonghong Wang Peng Zhang Hao Li Bin Zhao Rongfu Xie Qing Huang Shuxiao Wang Hong He State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China；University of Chinese Academy of Sciences Beijing 100049 China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental Sciences Chinese Academy of Sciences Beijing 100085 China；Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Xiamen 361021 China；University of Chinese Academy of Sciences Beijing 100049 China School of Environment Tsinghua University Beijing 100084 China College of Ecology and Environment Hainan University Haikou 570228 China；Hainan Research Academy of Environmental Sciences Haikou 571126 China School of Environmental Science and Engineering Hainan University Haikou 570228 China

Regional transport of air pollutants is a serious challenge to outdoor O3pollution control. Characterizing the transport of air pollutants by traditional air quality models heavily relies on accurate precursor emission inventories, chemical reaction mechanisms, and meteorological factors. In this study, the pollutant concentrations of upwind cities were incorporated as features into a random forest regression model (Traj-RF) to investigate the contribution of regional transport to local O3pollution. Hainan island was selected as the target area in this study, due to its air quality being affected significantly by regional transport. The Traj-RF model shows good predictive performance for O3with a coefficient of determination (R2) of 0.68 on the independent test set based on only observed air pollutants concentrations and meteorological data. The results of the Traj-RF model show that direct O3transport from upwind areas contributes approximately 27.5% to the O3concentration in Hainan, effectively highlighting the substantial role of regional transport in Hainan’s O3pollution. This refined machine learning method may have the potential to assess the impact of pollutant transport on regional air quality.

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Annual nonmethane hydrocarbon trends in Beijing from 2000 to 2019

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Journal of environmental Sciences 2022年第2期34卷 210-217页

作者： Dan Yao Guiqian Tang Jie Sun Yinghong Wang Yuan Yang Yiming Wang Baoxian Liu Hong He Yuesi Wang Center for Excellence in Regional Atmospheric Environment Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China State Key Joint Laboratory of Environment Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China School of Environment Tsinghua UniversityBeijing 100084China Beijing Key Laboratory of Airborne Particulate Matter Monitoring Technology Beijing Municipal Environmental Monitoring CenterBeijing 100048China Uniuersity of Chinese Academy of Sciences Beijing 100049China

High loads of ground-level ozone have occurred with the implementation of the Air pollution Prevention and control Action ***,the long temporal variation in precursor nonmethane hydrocarbons(NMHCs)has rarely been *** this study,we examined the evolution of NMHCs in Beijing based on ambient measurements from 2000 to *** results indicated that the annual variation of ambient NMHCs during 2000 and 2019 could be divided into two *** mixing ratios of NMHCs rapidly rose during 2000 and 2009(1.76 ppbv/year)but exhibited a downward trend from 2009 to 2019 at rate of 0.80 ppbv/***,the notable decrease in alkenes and aromatics after 2009 led to a sharp decrease in the propylene-equivalent concentration(PEC)(-0.80 ppbv/year).Implementation of emission reduction measures in Beijing have effectively reduced the contribution of vehicle-related sources,but the contribution of solvent usage and fuel consumption increased,which will become the focus of VOC control in Beijing in the future.

关键词： Beijing NMHCs Reactivity Temporal variation

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