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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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Characteristics of rural domestic sewage discharge and their driving mechanisms: evidence from the Northern Region, China

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Frontiers of environmental Science & Engineering 2024年第7期18卷 47-58页

作者： Jianguo Liu Ziyu Zhou Pengyu Li Zixuan Wang Ying Yan Xuezheng Yu Wenkai Li Tianlong Zheng Yingnan Cao Wenjun Wu Wenqian Cai Zhining Shi Junxin Liu Key Laboratory of Environmental Pollution Control and Remediation at Universities of Inner Mongolia Autonomous Region College of Resources and Environmental EngineeringInner Mongolia University of TechnologyHohhot 010051China State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China University of Chinese Academy of Sciences Beijing 100049China SCEGC No.12 Construction Engineering Group Co. Ltd.Ankang 725000China State Environmental Protection Key Laboratory of Environmental Planning and Policy Simulation Chinese Academy of Environmental PlanningBeijing 100041China Technical Centre for Soil Agriculture and Rural Ecology and EnvironmentMinistry of Ecology and EnvironmentBeijing 100012China Sustainable Infrastructure and Resource Management(SIRM) UniSA STEMUniversity of South AustraliaSouth AustraliaMawson LakesSA 5095Australia

The traits of rural domestic sewage emission are unclear,negatively affecting rural domestic sewage treatment and sewage *** study used data from the Second National pollution Source Census Bulletin to establish a data *** spatial distribution characteristics and main factors influencing rural sewage discharge in the Northern Region were studied using spatial autocorrelation analysis and structural *** findings demonstrated that(l)a significant Spearman correlation between drainage water volume(DwV),chemical oxygen demand(COD),ammonia nitrogen(NH_(3)-N),total nitrogen(TN),and total phosphorus(TP)and that the correlation coefficients between DWV and COD,NH,-N,TNand TP were 0.87**,1.0**,0.99**,0.99**,respectively;(2)rural sewage discharge showed spatial autocorrelation,and rural domestic sewage discharge in the districts and counties with an administration was significantly higher than in the surrounding areas;and(3)social development was the main driver rural domestic sewage changes(path coefficient was 0.407**),and the main factors influencing rural domestic sewage discharge were the urbanization rate,years of education,and population age *** study obtained the spatial variation law and clarified the main influencing factors of rural domestic sewage to provide data support and a theoretical basis for subsequent rural sewage collection and *** of the Inner Mongolia Autonomous Region in northern China as a typical case,provides a theoretical foundation for scientific decision-making on rural domestic sewage treatment at the national and regional levels and offers new perspectives for managing pollutants.

关键词： Rural domestic sewage Emission characteristics Spatial autocorrelation analysis Influencing factors

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Water quality prediction of copper-molybdenum miningbeneficiation wastewater based on the PSO-SVR model

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Frontiers of environmental Science & Engineering 2023年第8期17卷 81-94页

作者： Xiaohua Fu Qingxing Zheng Guomin Jiang Kallol Roy Lei Huang Chang Liu Kun Li Honglei Chen Xinyu Song Jianyu Chen Zhenxing Wang Ecological Environment Management and Assessment Center Central South University of Forestry and TechnologyChangsha 410004China State Environmental Protection Key Laboratory of Water Environmental Simulation and Pollution Control South China Institute of Environmental SciencesMinistry of Ecology and EnvironmentGuangzhou 510655China Chinese Non-Ferrous Industrial Engineering Center of Pollution Control Technology&Equipment Science Environment Protection Co.Ltd.Changsha 410036China Institute of Computer Science University of TartuTartu 51009Estonia School of Environmental Science and Engineering Guangzhou UniversityGuangzhou 510006China A.B Freeman School of Business Tulane UniversityNew OrleansLA 70118USA Guangzhou Huacai Environmental Protection Technology Co. Ltd.Guangzhou 511480China

The mining-beneficiation wastewater treatment is highly complex and *** factors like influent quality,flow rate,pH and chemical dose,tend to restrict the effluent effectiveness of miningbeneficiation wastewater *** oxygen demand(COD)is a crucial indicator to measure the quality of mining-beneficiation *** COD concentration accurately of miningbeneficiation wastewater after treatment is essential for achieving stable and compliant *** reduces environmental risk and significantly improves the discharge quality of *** paper presents a novel AI algorithm PSO-SVR,to predict water *** optimization of our proposed model PSO-SVR,uses particle swarm optimization to improve support vector regression for COD *** generalization capacity tested on out-of-distribution(OOD)data for our PSOSVR model is strong,with the following performance metrics of root means square error(RMSE)is 1.51,mean absolute error(MAE)is 1.26,and the coefficient of determination(R2)is *** compare the performance of PSO-SVR model with back propagation neural network(BPNN)and radial basis function neural network(RBFNN)and shows it edges over in terms of the performance metrics of RMSE,MAE and R2,and is the best model for COD prediction of mining-beneficiation *** is because of the less overfitting tendency of PSO-SVR compared with neural network *** proposed PSO-SVR model is optimum for the prediction of COD in copper-molybdenum mining-beneficiation wastewater *** addition,PSO-SVR can be used to predict COD on a wide variety of wastewater through the process of transfer learning.

关键词： Chemical oxygen demand Mining-beneficiation wastewater treatment Particle swarm optimization Support vector regression Artificial neural network

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Q/SCA-based framework constructed via OSIQ for metal ion capture

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Chinese Chemical Letters 2022年第3期33卷 1524-1528页

作者： Li-Fei Tian Ming Liu Li-Xia Chen Chao Huang Qian-Jiang Zhu Kai Chen Jiang-Lin Zhao Zhu Tao Key Laboratory of Macrocyclic and Supramolecular Chemistry of Guizhou Province Guizhou UniversityGuiyang 550025China Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution ControlSchool of Environmental Science and EngineeringNanjing University of Information Science&TechnologyNanjing 210044China Institute of Biomedical&Health Engineering Shenzhen Institute of Advanced TechnologyChinese Academy of SciencesShenzhen518055 China

Since the outer surface interaction of Q[n]s (OSIQ, including self-, anion- and aromatic-induced OSIQs) was proposed in 2014, it has become the most important research area in our group to construct various Q[n]-based supramolecular frameworks via the OSIQ strategy. Herein, we report a novel supramolecular framework constructed using cucurbit[8]uril (Q[8]) and 4-sulfocalix[6]arene (SC[6]A). This Q[8]/SC[6]A-based supramolecular framework is a product via the perfect combination of self-, anion- and aromatic-induced OSIQs. This framework has the characteristics of easy preparation and high stability with the most important feature being the sequence selective capture of specific metal cations, such as common alkali- and alkaline earth metal ions, and renewability. Thus, this framework may be used in seawater desalination, potassium ion enrichment, radioactive cesium ion pollution source treatment, Gruinard's treatment or water softening and other applications.

关键词： Cucurbit[8]uril 4-Sulfocalix[6]arene Outer surface interaction of Q[n]s Supramolecular framework Metal ion capture

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Photo-Anammox by Vacuum Ultraviolet Tandem Chlorine

SSRN

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SSRN 2023年

作者： Liu, Wenzhe Chen, Baiyang Yang, Yang Li, Boqiang Pan, Huimei Luo, Wang State Key Laboratory of Urban Water Resource and Environment Shenzhen Key Laboratory of Organic Pollution Prevention and Control Harbin Institute of Technology Shenzhen518055 China

Excessive ammonia (NH4+) discharge can lead to algal blooms and disrupt water sustainability, so its control is imperative. Although microbiology-triggered anammox process is promising, its application is limited due to time-consuming cultivation of specific microorganisms and need for skilled operation. To bypass these barriers, this study proposed and verified a photo-induced anammox technology that removed ammonia and total nitrogen (TN) from water by applying ultraviolet (UV)/vacuum UV (VUV)/chlorine process under anoxic conditions. Under the Cl/N mass ratio of 5:1, the anoxic VUV/UV/chlorine process achieved 66.8% removal of 10 mg-N/L ammonia within 10 min, along with a 57.8% reduction in TN. Besides the evidence from TN loss, this study confirmed nitrogen gas (N2) as the primary degradation product. The selective conversion of ammonia into N2 was mainly attributed to reactive nitrogen species (RNS, 42.5%) and reactive chlorine species (RCS, 57.5%). The TN removal efficiency was insensitive to certain variations of pH (7.0–9.0), ammonia concentration (1–30 mg-N/L), chloride (50–125 mg/L), and sulphate (25–100 mg/L), but sensitive to dissolved oxygen and bicarbonate (25–100 mg/L). Given its robustness and high efficiency, the anoxic VUV/UV/chlorine technology may serve as a potentially promising alternative for ammonia and TN alleviation in wastewater. © 2023, The Authors. All rights reserved.

关键词： Ammonia

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Single-atom Pd anchored in the porphyrin-center of ultrathin 2D-MOFs as the active center to enhance photocatalytic hydrogen-evolution and NO-removal

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Chinese Chemical Letters 2024年第9期35卷 364-368页

作者： Xingyan Liu Chaogang Jia Guangmei Jiang Chenghua Zhang Mingzuo Chen Xiaofei Zhao Xiaocheng Zhang Min Fu Siqi Li Jie Wu Yiming Jia Youzhou He Chongqing Key Laboratory of Catalysis and New Environmental Materials College of Environment and ResourcesChongqing Technology and Business UniversityChongqing 400067China School of Pharmacy North Sichuan Medical CollegeNanchong 637100China Carbon Neutrality Technology Application Research Center College of River and Ocean EngineeringChongqing Jiaotong UniversityChongqing 400074China State Key Joint Laboratory of Environment Simulation and Pollution Control School of EnvironmentTsinghua UniversityBeijing 100084China National Local Joint Engineering Research Center for Road Engineering and Disaster Prevention and Reduction Technology in Mountainous Areas China Merchants Chongqing Communications Technology Research and Design Institute Co.Ltd.Chongqing 400067China Chongqing Culture Relics and Archaeology Research Institute Chongqing 400013China

Single-atom catalysts were widely used to treat atmospheric pollution and alleviate energy crises through ***,how to prevent the aggregation of single atoms during the preparation and catalytic processes remained a great ***,a novel ultrathin two-dimensional porphyrin-based single-atom photocatalyst Ti-MOF(abbreviated as TMPd)obtained through a simple hydrothermal synthesis strategy was used for photocatalytic hydrogen evolution and NO removal,in which the singleatom Pd tightly anchored in the center of porphyrin to ensure single-atom Pd stable *** with most reported MOFs-based photocatalysts,the TMPd showed an excellent hydrogen evolution rate(1.32 mmol g^(-1)h^(-1))and the NO removal efficiency(62%)under visible light *** high-angle annular dark-field scanning transmission electron microscope(HAADF-STEM)and synchrotron-radiation-based X-ray absorption fine-structure spectroscopy(XAFS)proved that pd in TMPd existed in an isolated state,and the atomic force microscope(AFM)proved the ultrathin morphology of *** calculations had demonstrated that single-atom Pd could serve as the active center and more effectively achieve electron transfer,indicating that single-atom Pd played a vital role in photocatalytic hydrogen *** addition,a possible photocatalytic pathway of NO removal was proposed based on ESR and in-situ infrared spectra,in which the catalysts anchored with single-atom Pd could produce more active substances and more effectively oxidize NO to NO_(2)^(-)or NO_(3)^(-).The results suggested that coordinating single-atom metal species as the active site in the center of porphyrin could be a feasible strategy to obtain various ultrathin porphyrin-based single-atom photocatalysts to acquire excellent photocatalytic performance further.

关键词： Porphyrin-based MOFs Single-atom Pd Ultrathin 2D nanosheets Hydrogen evolution NO removal

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Oxidation Mechanism and Toxicity Evolution of Linalool,a Typical Indoor Volatile Chemical Product

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environment & Health 2024年第7期2卷 486-498页

作者： Zihao Fu Song Guo Ying Yu Hong-Bin Xie Shiyu Li Daqi Lv Putian Zhou Kai Song Zheng Chen Rui Tan Kun Hu Ruizhe Shen Maosheng Yao Min Hu State Key Joint Laboratory of Environmental Simulation and Pollution Control International Joint Laboratory for Regional Pollution ControlMinistry of Education(IJRC)College of Environmental Sciences and EngineeringPeking UniversityBeijing 100871China Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing 210044China Key Laboratory of Industrial Ecology and Environmental Engineering(Ministry of Education) School of Environmental Science and TechnologyDalian University of TechnologyDalian 116024China Institute for Atmospheric and Earth System Research/Physics Faculty of ScienceUniversity of HelsinkiP.O.Box 64FIN-00014 HelsinkiFinland

Linalool,a high-reactivity volatile chemical product(VCP)commonly found in cleaning products and disinfectants,is increasingly recognized as an emerging contaminant,especially in indoor *** the gas-phase oxidation mechanism of linalool is crucial for assessing its impact on atmospheric chemistry and human *** quantum chemical calculations and computational toxicology simulations,we investigated the atmospheric transformation and toxicity evolution of linalool under low and high NO/HO_(2)·levels,representing indoor and outdoor *** findings reveal that linalool can undergo the novel mechanisms involving concerted peroxy(RO_(2)·)and alkoxy radical(RO·)modulated autoxidation,particularly emphasizing the importance of cyclization reactions *** expands the widely known RO_(2)·-dominated H-shift-driven autoxidation and proposes a generalized autoxidation mechanism that leads to the formation of low-volatility secondary organic aerosol(SOA)*** analysis shows that over half of transformation products(TPs)exhibited higher carcinogenicity and respiratory toxicity compared to *** also propose time-dependent toxic effects of TPs to assess their long-term *** results indicate that the strong indoor emission coupled with slow consumption rates lead to significant health risks under an indoor *** results highlight complex indoor air chemistry and health concerns regarding persistent toxic products during indoor cleaning,which involves the use of linalool or other VCPs.

关键词： volatile chemical products(VCPs) peroxy radicals(RO_(2)·) atmospheric autoxidation secondary organic aerosol(SOA) computational toxicology

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Technology pathway to decarbonisation in the building sector based on a policy review of major economies

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Advances in Climate Change Research 2025年第1期16卷 183-198页

作者： Jie XIONG Si-Yue GUO Xian ZHANG Run-Ming YAO Pan-Yu ZHU Xue-Ting PENG Nian YANG Ya-Ting ZHANG Mai SHI Xi LU School of Environment State Key Joint Laboratory of Environment Simulation and Pollution ControlTsinghua UniversityBeijing 100084China School of Architecture and Urban Planning Chongqing Jiaotong UniversityChongqing 400074China Institute for Energy Environmental&EconomyTsinghua UniversityBeijing 100084China The Administrative Centre for China’s Agenda 21(ACCA21) Ministry of Science and Technology(MOST)Beijing 100038China School of the Built Environment University of ReadingReading RG66DFUnited Kingdom Joint International Research Laboratory of Green Buildings and Built Environments(Ministry of Education) Chongqing UniversityChongqing 400045China Synavision GmbH Bielefeld 33602Germany Beijing Laboratory of Environmental Frontier Technologies Tsinghua UniversityBeijing 100084China Institute for Carbon Neutrality Tsinghua UniversityBeijing 100084China

Building decarbonisation is crucial to achieve the carbon neutrality *** many studies have been conducted,a gap remains in the research concerning technology development and policy *** study conducted a comprehensive review of the decarbonisation pathways proposed by the ten largest economies globally for the building sector at the national *** synthesising the relevant literature,a systemic framework of technologies applicable to the building sector is proposed,encompassing five major categories of technologies:energy efficiency,electrification and clean heating,on-site generation and flexible utilisation,green construction materials and processes,and sufficiency in operation and *** overview of each country’s emphasis on technological development,future expectations and prevailing trends in technology deployment is summarised and *** countries'policy documents address energy efficiency,electrification,and clean heating;however,the importance of flexibility and sufficiency warrants further *** balance among different technologies,the impacts of lock-in effects,and the considerations of equity and justice in renovation processes are critical concerns for the future deployment of *** study can provide a meaningful reference for the following research phase and the development of pathways to decarbonise buildings for countries worldwide.

关键词： Decarbonisation Building sector Carbon neutrality Pathway Framework of technologies

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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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Changes of composition and antibiotic resistance of fecal coliform bacteria in municipal wastewater treatment plant

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Journal of environmental Sciences 2024年第12期146卷 241-250页

作者： Luoyao Wen Yunwei Cui Luodong Huang Chunzhong Wei Gangan Wang Junya Zhang Yanbo Jiang Yuansong Wei Peihong Shen State Key Joint Laboratory of Environmental Simulation and Pollution Control Research Center for Eco-Environmental SciencesChinese Academy of SciencesBeijing 100085China College of Life Science and Technology Guangxi UniversityNanning 530005China Nanning Engineering&Technology Research Center for Water Safety Guangxi Beitou Environmental Protection&Water Group Co.LTD.Nanning 530025China Department of Isotope Biogeochemistry Helmholtz Centre for Environmental Research–UFZLeipzig 04318Germany University of Chinese Academy of Sciences Beijing 100049China International Graduate School at Shenzhen Tsinghua UniversityShenzhen 518055China

The dynamics of the composition and antibiotic resistance of the fecal coliform bacteria(FCB)in a typical wastewater treatment plant(WWTP)were investigated concerning the seasonal *** showed that WWTP could remove the FCB concentration by 3∼5 logs within the effluent of 10^(4)∼10^(5)CFU/L,but the antibiotic resistant rate of FCB species increased significantly after *** dominant FCB changed from Escherichia coli in the influent(∼73.0%)to Klebsiella pneumoniae in the effluent(∼53.3%)after WWTP,where the Escherichia coli was removed the most,while Klebsiella pneumoniae was the most *** secondary tank removed the most of FCB(by 3∼4 logs)compared to other processes,but increased all the concerned antibiotic resistant *** potential super bugs of FCB community showing resistance to all the target antibiotics were selected in the biological treatment unit of *** FCB showed the highest multiple antibiotic resistance(92.9%)in total which even increased to 100%in the *** has the highest antibiotic resistant rate in FCB,with a multiple antibiotic resistance rate of 98.4%.These indicated that the Klebsiella pneumoniae not just Escherichia coli should be specially emphasized after WWTP concerning the health risk associated with FCB community.

关键词： Fecal coliform bacteria Antibiotic resistance Wastewater treatment plant Antibiotic resistant bacteria Multiple antibiotic resistance

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