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Development of an automated photolysis rates prediction system based on machine learning

Journal of environmental Sciences 2025年第5期151卷 211-224页

作者： Weijun Pan Sunling Gong Huabing Ke Xin Li Duohong Chen Cheng Huang Danlin Song State Key Laboratory of Severe Weather&Key Laboratory of Atmospheric Chemistry of CMA Chinese Academy of Meteorological SciencesBeijing 100081China College of environmental Sciences and Engineering Peking UniversityBeijing 100871China State environmental Key Laboratory of Reginal Air Quality monitoring Guangdong Ecological Environmental Monitoring CenterGuangzhou 510308China State environmental protection Key Laboratory of Formation and Prevention of the Urban Air Complex Shanghai Academy of Environmental SciencesShanghai 200233China Chengdu Academy of environmental Sciences Chengdu 610072China National Observation and Research station of Coastal Ecological Environments in Macao Macao Environmental Research InstituteMacao University of Science and TechnologyMacao 999078China

Based on observed meteorological elements,photolysis rates(J-values)and pollutant concentrations,an automated J-values predicting system by machine learning(J-ML)has been developed to reproduce and predict the J-values of O^(1)D,NO_(2),HONO,H_(2)O_(2),HCHO,and NO_(3),which are the crucial values for the prediction of the atmospheric oxidation capacity(AOC)and secondary pollutant concentrations such as ozone(O_(3)),secondary organic aerosols(SOA).The J-ML can self-select the optimal“Model+Hyperparameters”without human *** evaluated results showed that the J-ML had a good performance to reproduce the J-values wheremost of the correlation(R)coefficients exceed 0.93 and the accuracy(P)values are in the range of 0.68-0.83,comparing with the J-values from observations and from the tropospheric ultraviolet and visible(TUV)radiation model in Beijing,Chengdu,Guangzhou and Shanghai,*** hourly prediction was also well performed with R from 0.78 to 0.81 for next 3-days and from 0.69 to 0.71 for next 7-days,*** with O_(3)concentrations by using J-values from the TUV model,an emission-driven observation-based model(e-OBM)by using the J-values from the J-ML showed a 4%-12%increase in R and 4%-30%decrease in ME,indicating that the J-ML could be used as an excellent supplement to traditional numerical *** feature importance analysis concluded that the key influential parameter was the surface solar downwards radiation for all J-values,and the other dominant factors for all J-values were 2-m mean temperature,O_(3),total cloud cover,boundary layer height,relative humidity and surface pressure.

关键词： J-values Automated prediction system Machine learning Short-term prediction O_(3) simulated improvement

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Recent development of a refined multiple air pollutant emission inventory of vehicles in the Central Plains of China

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Journal of environmental Sciences 2019年第10期31卷 80-96页

作者： Xingke Gu Shasha Yin Xuan Lu Huan Zhang Lingling Wang Ling Bai Chen Wang Ruiqin Zhang Minghao Yuan Research Institute of environmental Science College of Chemistry and Molecular Engineering Zhengzhou University Zhengzhou 450001China Henan environmental monitoring center Zhengzhou 450004 China environmental protection monitoring center station of zhengzhou Zhengzhou 450007 China

Central Plains region of China,represented by Henan Province,is facing serious air pollution *** exhaust emissions had adverse impacts on the atmospheric *** first comprehensive and novel vehicle emission inventory for Henan Province using vehicle kilometers traveled,localized emission factors,and activity data at city-level was ***,3 km×3 km gridded emission and temporal variations were determined by using localized *** show that the total emissions of sulfur dioxide(SO2),nitrogen oxides(NOx),carbon monoxide(CO),particular matter with aerodynamic diameter<10μm(PM10),aerodynamic diameter<2.5μm(PM2.5),volatile organic compounds(VOCs),VOCs-evaporation and ammonia in 2015 were 9.1,533.4,1190.7,23.7,21.6,150.8,31.5 and 10.4 Gg,respectively,and the emission intensities of the above pollutants were 0.05,2.7,6.0,0.1,0.1,0.8,0.2 and 0.05 g/km,*** meeting the Primary China 1,China 3 and China 4 contributed 89.1%,82.7%,75.3%,75.5%,75.5%,68.2%,68.4%and 82.3%for SO2,NOx,CO,PM10,PM2.5,VOCs,VOCs-evaporation and ammonia emissions,***,Zhoukou,Nanyang,Luoyang,Shangqiu and Xinyang showed relatively higher emissions and contributed more than 50%of each *** spatial distribution indicated obvious characteristics of the road network,and high-level emission was concentrated in the downtown ***,the ozone formation potential(OFP)based on the estimated speciated VOC emissions was 569.6 Gg in Henan *** and aromatic hydrocarbons were the main species of VOCs,whereas olefins contributed the largest proportion of OFP,with 42.2%.

关键词： Vehicle Emission standard Gridded allocation Ozone formation potential Speciated volatile organic compounds

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Spatio-temporal Variation， Meteorological Condition， and Regional Transport Characteristics of PM2.5 Pollution Events in Beijing from 2018 to 2022

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Huanjing Kexue/environmental Science 2025年第3期46卷 1265-1274页

作者： Guo, Yuan-Xi Liu, Bao-Xian Li, Yun-Ting Shen, Xiu-E Wang, Shu-Xiao Song, Qian Chen, Chen Sun, Feng Chen, Yang Sun, Rui-Wen Li, Qian Yin, De-Jia Jiang, Yue-Qi Dong, Zhao-Xin Beijing Key Laboratory of Airborne Particulate Matter monitoring Technology Beijing Municipal Ecological and Environmental Monitoring Center Beijing100048 China State Key Joint Laboratory of environmental Simulation and Pollution Control School of Environment Tsinghua University Beijing100084 China State environmental protection Key Laboratory of Sources and Control of Air Pollution Complex Beijing100084 China

Based on PM2.5 monitoring data,meteorological observation data,and a CMAQ-ISAM air quality model,the spatio-temporal variation,meteorological conditions,and regional transport characteristics of 108 PM2.5 pollution events in Beijing from 2018 to 2022 were analyzed. The results showed that the frequency,the mean concentration,and the peak concentration of PM2.5 pollution events demonstrated a significant decrease and the decrease degree of moderate and heavy pollution events was significantly larger than that of light pollution events. From the seasonal perspective,the PM2.5 pollution events nearly disappeared in summer,however,were severe in other seasons. According to the diurnal variation curves,PM2.5 concentration during heavy pollution events decreased significantly from daytime to the first half of night and did not decrease notably in the second half of the night. In the past five years,the mean concentration of PM2.5 pollution events was higher in the southeast and lower in the northwest,with the highest in the Beijing Economic and Technological Development Area and the lowest in Yanqing District. From the perspective of spatial evolution,the mean concentration in all districts significantly decreased from 2018 to 2022,with a decrease range of 13-31 µg·m-3 and a decrease percentage of 11%-25%;the frequency in all districts also decreased significantly,with a decrease range of 35-52 days and a decrease percentage of 56%-68%. The mean wind speed,mean relative humidity,and northwest wind frequency were the three most important meteorological factors that had an impact on PM2.5 concentration in Beijing. For polluted days,the mean wind speed was 1.6 m·s-1,the mean relative humidity was 62.4%,and the frequency of northwest wind was 3%. Most of the pollution events began from Eastern Beijing and Southern Beijing. Compared to those throughout the whole city,PM2.5 pollution events usually occurred 12 hours earlier at the southeast border station and 10,8,and 5 hours e

关键词： Wind

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Characteristics,sources and health risks assessment of VOCs in zhengzhou,China during haze pollution season

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Journal of environmental Sciences 2021年第10期33卷 44-57页

作者： Dong Zhang Bing He Minghao Yuan Shijie Yu Shasha Yin Ruiqin Zhang College of Chemistry Zhengzhou UniversityZhengzhou 450001China Institute of environmental Sciences Zhengzhou UniversityZhengzhou 450001China School of Ecology and Environment Zhengzhou UniversityZhengzhou 450001China environmental protection monitoring center station of zhengzhou Zhengzhou 450007China

zhengzhou is one of the most haze-polluted cities in Central China with high organic carbon emission,which accounts for 15%-20%of particulate matter(PM_(2.5))in winter and causes significantly adverse health *** organic compounds(VOCs)are the precursors of secondary PM_(2.5)and O_(3)*** investigation of characteristics,sources and health risks assessment of VOCs was carried out at the urban area of zhengzhou from 1^(st) to 31^(st) December,*** mean concentrations of total detected VOCs were 48.8±23.0 ***(22.0±10.4 ppbv),halocarbons(8.1±3.9 ppbv)and aromatics(6.5±3.9 ppbv)were the predominant VOC species,followed by alkenes(5.1±3.3 ppbv),oxygenated VOCs(3.6±1.8 ppbv),alkyne(3.5±1.9,ppbv)and sulfide(0.5±0.9 ppbv).The Positive Matrix Factorization model was used to identify and apportion VOCs *** major sources of VOCs were identified as vehicular exhaust,industrial processes,combustion,fuel evaporation,and solvent *** carcinogenic and non-carcinogenic risk values of species were *** carcinogenic and non-carcinogenic risks of almost all air toxics increased during haze *** total non-carcinogenic risks exceeded the acceptable *** VOC species posed no non-carcinogenic risk during three haze *** carcinogenic risks of chloroform,1,2-dichloroethane,1,2-dibromoethane,benzyl chloride,hexachloro-1,3-butadiene,benzene and naphthalene were above the acceptable level(1.0×10^(-6))but below the tolerable risk level(1.0×10^(-4)).Industrial emission was the major contributor to non-carcinogenic,and solvent use was the major contributor to carcinogenic risks.

关键词： zhengzhou Positive Matrix Factorization Health risks VOC profiles

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Quantitative analysis of influencing factors to aerosol pH and its responses to PM_(2.5)and O_(3)pollution in a coastal city

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Journal of environmental Sciences 2025年第5期151卷 284-297页

作者： Ke Xu Liqian Yin Qiaoling Chen Dan Liao Xiaoting Ji Keran Zhang Yu Wu Lingling Xu Mengren Li Xiaolong Fan Fuwang Zhang Zhi Huang Jinsheng Chen Youwei Hong center for Excellence in Regional Atmospheric Environment Key Lab of Urban Environment and HealthInstitute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China School of Life Sciences Hebei UniversityBaoding 071000China University of Chinese Academy of Sciences Beijing 100049China College of Resources and Environment Fujian Agriculture and Forest UniversityFuzhou 350002China College of Chemical Engineering Huaqiao UniversityXiamen 361021China College of Environment and Public Health Xiamen Huaxia UniversityXiamen 361024China Fujian Key Laboratory of Atmospheric Ozone Pollution Prevention Institute of Urban EnvironmentChinese Academy of SciencesXiamen 361021China environmental monitoring center of Fujian Fuzhou 350003China Xiamen Institute of environmental Science Xiamen 361021China

Aerosol acidity(pH)plays an important role in the multiphase chemical processes of atmospheric *** this study,we demonstrated the seasonal trends of aerosol pH calculated with the ISORROPIA-II model in a coastal city of southeast *** performed quantitative analysis on the various influencing factors on aerosol pH,and explored the responses of aerosol pH to different PM_(2.5)and O_(3)pollution *** results showed that the average aerosol pH was 2.92±0.61,following the order of winter>spring>summer>*** tests revealed that SO_(4)^(2−),NH_(x),T and RH triggered the variations of aerosol *** analysis results showed that T(37.9%-51.2%)was the main factors affecting pH variations in four seasons,followed by SO_(4)^(2−)(6.1%-23.7%),NH_(x)(7.2%-22.2%)and RH(0–14.2%).Totally,annual mean meteorological factors(52.9%)and chemical compositions(41.3%)commonly contributed the aerosolpH in the coastal *** concentrations of PM_(2.5)was positively correlated with aerosol liquid water content(R^(2)=0.53)and aerosol pH(R^(2)=0.26),indicating that the increase in pH was related with the elevated NH_(4)NO_(3)and decreased SO_(4)^(2−),and also the changes of T and *** O_(x)(O_(3)+NO_(2))was moderately correlated with aerosol pH(R^(2)=-0.48),attributable to the fact that the proportion of SO_(4)^(2−)increased under high T and low RH *** study strengthened our understanding of the contributions of influencing factors to aerosol pH,and also provided scientific evidences for chemical processes of atmospheric particles in coastal areas.

关键词： Aerosol acidity Aerosol liquid water Fine particular matter(PM_(2.5)) Ozone(O_(3)) Coastal city

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Effect of Antimony on Physiological Responses of Green Chinese Cabbage and Enzyme Activities of Allitic Udic Ferrisols

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Pedosphere 2015年第1期25卷 124-129页

作者： XIAO Xi-Yuan GUO Zhao-Hui LUO Yue-Ping BI Jun-Ping YANG Miao HUANG Dong-Qin Institute of environmental Engineering School of Metallurgy and Environment Central South University environmental monitoring center station of Hunan Province State environmental protection Key Laboratory of Heavy Metal Pollution monitoring

High concentrations of antimony(Sb) in soils and vegetables can cause potential health risk. However, the effect of Sb on the growth and response of crops are not well known and to date, there is still no Sb limit standard for Allitic Udic Ferrisols in China. In this study, a greenhouse experiment was carried out to investigate the effect of antimony(Sb) on biomass, physiological performances,and macro- and micronutrient element concentrations of green Chinese cabbage(Brassica chinensis L.), as well as enzyme activities,in Allitic Udic Ferrisols from Hunan Province, China. Antimony was supplied at rates of 0(control), 2, 5, 10, 20, and 50 mg kg-1and thus with the background value of 1.0 mg kg-1, the Sb concentrations in the treated soil samples were 1, 3, 6, 11 21, and 51 mg kg-1, respectively. The results showed the leaf biomass and ascorbic acid content of cabbage significantly(P < 0.05) decreased by 30.6% and 48.3%, respectively, and soil urease and dehydrogenase activities also significantly(P < 0.05) decreased by 33.6%and 32.5%, respectively, when soil Sb concentration was 21 mg kg-1as compared with the control. The uptake of essential nutrient elements such as Mg, Cu, and Zn by cabbage was obviously affected, while the leaf soluble sugar content slightly changed when the soil Sb concentration exceeded 21 mg kg-1. Based on cabbage physiological responses and soil enzyme activities, the permissible concentration of 21 mg kg-1for Sb in Allitic Udic Ferrisols should be recommended.

关键词： ascorbic acid biomass dehydrogenase nutrient elements permissible Sb concentration soluble sugar urease

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Terrestrial input and nutrient change reflected by sediment records of the Changjiang River Estuary in recent 80 years

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Acta Oceanologica Sinica 2015年第2期34卷 27-35页

作者： LI Junlong ZHENG Binghui HU Xupeng WANG Yiming DING Ye LIU Fang College of Water Sciences Beijing Normal University State Key Laboratory of environmental Criteria and Risk Assessment Chinese Research Academy of Environmental Sciences State environmental protection Key Laboratory of Quality Control in environmental monitoring China National Environmental Monitoring Center Zhoushan Marine Ecological environmental monitoring station

A variety of environmental problems have been observed in the Changjiang River Estuary and adjacent coastal area, including eutrophication, harmful algal blooms（HABs）, and hypoxia in recent decades. Application of sedimentary biogenic element indicators on the study of paleoenvironment can reconstruct environmental evolution history of waters. Two 210Pb-dated cores were collected from the Changjiang River Estuary（S3） and adjacent coastal area（Z13）, and total organic carbon（TOC）, total nitrogen（TN）, biogenic silicon（BSi）, total phosphorus（TP） and phosphorus（P） species were analyzed. Three stages of environmental changes are deduced by the nutrient sedimentary records. First, nutrient concentration increased rapidly since the 1950 s, which attributed to agriculture development and overused chemical fertilizers. Second, nutrient concentration kept high and primary production began to promote during the 1960 s to 1980 s, while diatom abundance and proportion began to decline since the 1970 s, accompanied by reduced 23 Si O- concentration and flux from the river. Third, due to several dams and bridges constructed, river runoff and coastal hydrodynamic conditions reduced to a certain extent since the 1990 s, which aggravated the unbalance in nutrient structure. Multi-nutrient proxies in sediment can reflect the natural environm-ental changes as well as influence of human activities.

关键词： biogenic elements phosphorus species sediment cores Changjiang River Estuary

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Enhanced mixing state of black carbon with nitrate in single particles during haze periods in zhengzhou, China

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Journal of environmental Sciences 2022年第1期34卷 185-196页

作者： Qianni Zhou Chunlei Cheng Suxia Yang Minghao Yuan Jingjing Meng Haifeng Gong Qien Zhong Yao Zhang Yutong Xie Zhen Zhou Mei Li Institute of Mass Spectrometry and Atmospheric Environment Guangdong Provincial Engineering Research Center for On-line Source Apportionment System of Air PollutionJinan UniversityGuangzhou 510632China Guangdong-Hongkong-Macao Joint Laboratory of Collaborative Innovation for environmental Quality Guangzhou 510632China School of Environment and Planning Liaocheng UniversityLiaocheng 252000China Institute for Environment and Climate Research Jinan UniversityGuangzhou 510632China zhengzhou environmental protection monitoring center station Zhengzhou 450007China

Black carbon(BC)plays an important role in air quality and climate change,which is closely associated with its mixing state and chemical *** this work the mixing state of BC-containing single particles was investigated to explore the evolution process of ambient BC particles using a single particle aerosol mass spectrometer(SPAMS)in March 2018 in zhengzhou,*** BC-containing particles accounted for 61.4%of total detected ambient single particles and were classified into five types including BC-nitrate(BC-N,52.3%)as the most abundant species,followed by BC-nitrate-sulfate(BC-NS,22.4%),BCOC(16.8%),BC-fresh(BC-F,4.5%)and BC-sulfate particles(BC-S,4.0%).With enhancement of the ambient nitrate concentration,the relative peak area(RPA)of nitrate in BC-N and BC–NS particles both increased,yet only the number fraction(N_(f))of BC–N particles increased while the N_(f) of BC-NS particles decreased,suggesting that the enhanced mixing state of BC with nitrate was mainly due to the increase in the ambient nitrate mass *** addition,the Nfof BC-N decreased from 65.3%to 28.4%as the absorbing Angstrom exponents(AAE)of e BC increased from 0.75 to 1.45,which indicated the reduction of light absorption ability of aged BC particles with the enhanced formation of BC-N *** results of this work indicated a change in the mixing state of BC particles due to the dominance of nitrate in PM_(2.5),which also influenced the optical properties of aged BC particles.

关键词： Single particle Black carbon Mixing state Nitrate Aging process

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Seasonal implications for taxonomic sufficiency to simplify M-AMBI methodology in the coastal area adjacent to a eutrophic estuary

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Acta Oceanologica Sinica 2023年第10期42卷 108-116页

作者： Chenman Yang Hongjun Song Yi Sun Pengfei Xie Yuan Liu Hongjun Li State environmental protection Key Laboratory of Coastal Ecosystem National Marine Environmental Monitoring CenterDalian 116023China Observation and Research station of Bohai Strait Eco-Corridor First Institute of OceanographyMinistry of Natural ResourcesQingdao 266061China

Taxonomic sufficiency(TS)refers to identifying taxa to a taxonomic level sufficient to detect community changes in stressed environments and may provide a cost-effective approach in routine monitoring ***,there is still limited information regarding the seasonal impact of applying TS and its implications for the ecological quality evaluation in the estuarine *** study investigated the relationship between the multivariate-AZTI’s Marine Biotic Index(M-AMBI)and environmental variables in three seasons(i.e.,spring,summer,and autumn)in the Liaohe River *** tested the reliability of TS for simplifying the M-AMBI *** results showed that family and genus level data could reproduce the spatial-temporal patterns of community structure at the species *** M-AMBI values showed a consistent spatial distribution pattern in all sampling seasons,with a decreasing trend with the increasing distance from the estuary *** genus and family level data performed nearly as well as species level in detecting the seasonal variations of pollutants(i.e.,nutrients and total organic content).The family level M-AMBI was feasible to discern stress in the Liaohe River Estuary because of the high aggregation ratios at different taxonomic levels in all sampling *** findings suggest that applying taxonomic sufficiency based on the M-AMBI provides an efficient approach for evaluating ecological quality in the Liaohe River Estuary.

关键词： M-AMBI ecological quality macrofauna taxonomic sufficiency eutrophication Liaohe River Estuary

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Characterization of precipitation in the background of atmospheric pollutants reduction in Guilin: Temporal variation and source apportionment

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Journal of environmental Sciences 2020年第12期32卷 1-13页

作者： Ling Li Hong Li Liang Peng Yongshan Li Yi Zhou Fahe Chai Zhaoyu Mo Zhiming Chen Jingying Mao Wenxing Wang State Key Laboratory of environmental Criteria and Risk Assessment Chinese Research Academy of Environmental SciencesBeijing 100012China College of Chemistry and Chemical Engineering Southwest Petroleum UniversityChengdu 610500China Guilin environmental monitoring center station Guilin 541002China Scientific Research Academy of Guangxi environmental protection Nanning 530022China Institute of environmental and Climate Research Jinan UniversityGuangzhou 511443China environmental Research Institute Shandong UniversityQingdao 266237China

Rainfall samples were collected from three observation sites in Guilin from 2013 to 2017, and the chemical composition characteristics of precipitation and the contribution made by different ion sources were analyzed when atmospheric pollutants levels were reduced. The results showed that acid gas emissions and atmospheric pollutant concentrations continued to decline during the study period. However, the change in the volume-weighted mean p H at the three sites suggested that acid rain pollution was not alleviated and began to deteriorate after 2015. The continuing downward trend for alkaline neutralizing ions(Ca^(2+), NH_4^+) in precipitation indicated that the reduction in alkaline neutralizing substances in the atmosphere was an important factor that led to the deterioration in acid rain across Guilin. The principal component analysis and spearman correlation analysis indicated five sources of ions in precipitation. Quantitative assessment of these five sources indicated that fossil fuel combustion contributed the most ions concentration in precipitation at the three sites, followed by agriculture, terrestrial(crustal) sources, marine sources, and biomass burning. Long-distance airflow might affect the acidity, the electrical conductivity(EC), and ion concentrations in precipitation across Guilin. The airflow trajectory from the west and southeast directions corresponded to higher acidity and ion concentrations. According to the current air pollution control strategy planned by Guilin, reducing atmospheric coarse particles and NH_3 at the same time may potentially lead to further deteriorations in acid rain contents. Therefore, Guilin needs to develop more reasonable pollution prevention measures that synergistically control atmospheric pollutants and acid rain pollution.

关键词： Precipitation chemistry Characterization Source contributions Synergistic control Guilin

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