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A New Model Using Multiple Feature Clustering and Neural Networks for Forecasting Hourly PM2.5 Article
Hui Liu, Zhihao Long, Zhu Duan, Huipeng Shi
Engineering 2020, Volume 6, Issue 8, Pages 944-956 doi: 10.1016/j.eng.2020.05.009
Particulate matter with an aerodynamic diameter no greater than 2.5 μm (PM2.5) concentrationdecomposition (MCD)–echo state network (ESN)–particle swarm optimization (PSO), for multi-step PMThe clustered results of the PM2.5 concentration series are decomposed into several sublayersReal PM2.5 concentration data from four cities located in different zones in China are utilizedindicate that the proposed forecasting model is suitable for the multi-step high-precision forecasting of PM
Keywords: PM2.52.5浓度预测 PM2.52.5浓度聚类 经验小波分解 多步预测
Hui Liu, Rui Yang, Zhu Duan, Haiping Wu
Engineering 2021, Volume 7, Issue 12, Pages 1751-1765 doi: 10.1016/j.eng.2020.10.023
Dissolved oxygen (DO) is an important indicator of aquaculture, and its accurate forecasting can effectively improve the quality of aquatic products. In this paper, a new DO hybrid forecasting model is proposed that includes three stages: multi-factor analysis, adaptive decomposition, and an optimization-based ensemble. First, considering the complex factors affecting DO, the grey relational (GR) degree method is used to screen out the environmental factors most closely related to DO. The consideration of multiple factors makes model fusion more effective. Second, the series of DO, water temperature, salinity, and oxygen saturation are decomposed adaptively into sub-series by means of the empirical wavelet transform (EWT) method. Then, five benchmark models are utilized to forecast the sub-series of EWT decomposition. The ensemble weights of these five sub-forecasting models are calculated by particle swarm optimization and gravitational search algorithm (PSOGSA). Finally, a multi-factor ensemble model for DO is obtained by weighted allocation. The performance of the proposed model is verified by time-series data collected by the pacific islands ocean observing system (PacIOOS) from the WQB04 station at Hilo. The evaluation indicators involved in the experiment include the nash-sutcliffe efficiency (NSE), kling-gupta efficiency (KGE), mean absolute percent error (MAPE), standard deviation of error (SDE), and coefficient of determination (R2). Example analysis demonstrates that: ① the proposed model can obtain excellent DO forecasting results; ② the proposed model is superior to other comparison models; and ③ the forecasting model can be used to analyze the trend of DO and enable managers to make better management decisions.
Keywords: Dissolved oxygen concentrations forecasting Time-series multi-step forecasting Multi-factor analysis Empirical wavelet transform decomposition Multi-model optimization ensemble
Diverse bacterial populations of PM in urban and suburb Shanghai, China
Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-020-1329-7
• Urban aerosols harbour diverse bacterial communities in Shanghai.
Keywords: PM2.5 Bacteria 16S rRNA SEM analysis Shanghai City
Temporal and spatial stability of the EM/PM molecular subtypes in adult diffuse glioma
Frontiers of Medicine 2023, Volume 17, Issue 2, Pages 240-262 doi: 10.1007/s11684-022-0936-z
Keywords: glioma progression molecular classification EM/PM subtyping intratumor heterogeneity
Temporal variation of PM-associated health effects in Shijiazhuang, Hebei
Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 5, doi: 10.1007/s11783-020-1376-0
•Annual mean PM2.5 in Shijiazhuang were 87, 95, and 82 µg
Keywords: PM2.5 Health effects Integrated exposure-response model Shijiazhuang
Shengwen Tang,Yuting Hu,Shengfu Zhong,Peigao Luo
Engineering 2018, Volume 4, Issue 4, Pages 500-506 doi: 10.1016/j.eng.2018.06.004
Keywords: Wheat Powdery mildew Pm21 Pm40 Alien species Native resistance
Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 6, doi: 10.1007/s11783-021-1434-2
• Regional transportation contributed more than local emissions during haze episodes.
Keywords: 2022 Winter Olympics PM2.5 Source apportionment
PM2.5 over North China based on MODIS AOD and effect of meteorological elements during 2003‒2015
Youfang Chen, Yimin Zhou, Xinyi Zhao
Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 2, doi: 10.1007/s11783-019-1202-8
Keywords: Aerosol optical depth PM2.5 MODIS Mixed effect model Canonical correlation analysis
Analysis of flue gas pollutants deep-removal technology for coal-fired power plant
Zhang Xiaolu
Strategic Study of CAE 2014, Volume 16, Issue 10, Pages 47-51
In recent years, frequent haze weather makes PM2.5 becoming the publicThe control of PM2.5 has been added in the 2012 release "ambient air quality standard".Under the situation that our current flue gas pollutant control technology is difficult to remove PM2.5the Flue Gas Pollutants Deep-removal Technology (DRT) for Coal-fired Power Plant for deep-removing PM2.5the necessity and existing problems of developing DRT suitable for China, this study focused on the PM2.5
Keywords: coal-fired power plant flue gas pollutants deep-removal PM2.5 removal
Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration
Li Dejun,Lv Runhua,Wang Runtian
Strategic Study of CAE 2007, Volume 9, Issue 5, Pages 81-84
Slurry is widely used in construction projects, and it is important to control the slurry's physical characteristic properly. The acoustic method is used, which can effectively monitor the physical parameters of slurry, such as concentration. Data processing affects directly the precision in the measurement of slurry concentration by the sound attenuation and velocity. Based on the fuzzy pattern recognition, data are sorted and further classified, with cooperative clustering algorithm.
Keywords: fuzzy pattern recognition nearest neighbor(NN) cooperative clustering algorithm(CCA) slurry concentration
PM concentration declining saves health expenditure in China
Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 7, doi: 10.1007/s11783-023-1690-4
● Monthly hospitalization expenses are sensitive to increases in PM
Keywords: Air pollution Health expenditure PM2.5 concentration Economic impact Heterogeneous effect
Zhang Dengchun,Weng Peifen
Strategic Study of CAE 2007, Volume 9, Issue 11, Pages 80-86
Based on steady state incompressible Reynolds-averaged Navier-Stokes equation, turbulence model, the three-dimension airflow and concentration fields in passenger car are calculated numerically. Regarding passengers as cubes and the exhalant CO2 as representative contaminant respectively, the airflow and concentration distributions are investigated in non-empty state. The results show that existing sew supply modes make the airflow distribution homogeneous except for the ends. Body heat and solar radiation have much influence on airflow and temperature fields. The air distribution in occupied passenger car differs from that in empty one. The heat flux from body heat and solar radiation produces a much big temperature gradient in occupied passenger car. The concentration is low in gangway zone while high in seat zone with crowded passengers. The concentration in middle section is higher than that in end section and contaminant gathers in respiratory region, and the polluted air can´t be exchanged effectively in seat zone, which is disadvantageous to air quality in passenger car.
Keywords: passenger car turbulence model airflow field concentration field computational fluid dynamics
Hao Jiming,Xu Jiayu,Wu Jian and Ma Qiao
Strategic Study of CAE 2017, Volume 19, Issue 4, Pages 13-19 doi: 10.15302/J-SSCAE-2017.04.003
Keywords: PM2.5 air quality environmental capacity
Yin Zhiping,Liu Aihua,Pan Renming
Strategic Study of CAE 2008, Volume 10, Issue 7, Pages 90-95
Extinguishing concentration measurement experiments in the cup burner on two kinds of superfine ammonium phosphate extinguishing agents with different particle sizes had been done by means of filtering and weighing method combined with laser attenuation measurement. The fitting curves of particle concentration with laser attenuation rate and the extinguishing concentration of superfine particle agents had been got. The extinguishing mass concentration of two super fine agents were measured in cup burner. The results showed that when the median particle size of two kinds of extinguishing agents were 6.0 μm and 13.7μm, their laser absorption coefficients were 0.353 m2/g and 0.257 3 m2/g respectively and their mean extinguishing concentration were 32.9 g/m3 and 41.6 g/m3 respectively. Extinguishing ability of the former was 25 % to 30 % higher than that of the latter. The laser attenuation measurement relative errors were less when the former agent was used in experiment.
Keywords: laser attenuation measurement filtering and weighing method superfine particle extinguishing agent extinguishing concentration
Title Author Date Type Operation
A New Model Using Multiple Feature Clustering and Neural Networks for Forecasting Hourly PM2.5
Hui Liu, Zhihao Long, Zhu Duan, Huipeng Shi
Journal Article
A Hybrid Neural Network Model for Marine Dissolved Oxygen Concentrations Time-Series Forecasting Based on Multi-Factor Analysis and a Multi-Model Ensemble
Hui Liu, Rui Yang, Zhu Duan, Haiping Wu
Journal Article
Temporal and spatial stability of the EM/PM molecular subtypes in adult diffuse glioma
Journal Article
The Potential Role of Powdery Mildew-Resistance Gene Pm40 in Chinese Wheat-Breeding Programs inthe Post-Pm21 Era
Shengwen Tang,Yuting Hu,Shengfu Zhong,Peigao Luo
Journal Article
Mi Yifeng: PM2.5 of Urban Agglomeration in the Middle Reaches of the Yellow River Spatiotemporal Heterogeneity
19 May 2022
Conference Videos
Local and regional contributions to PM in the Beijing 2022 Winter Olympics infrastructure areas during
Journal Article
PM2.5 over North China based on MODIS AOD and effect of meteorological elements during 2003‒2015
Youfang Chen, Yimin Zhou, Xinyi Zhao
Journal Article
Analysis of flue gas pollutants deep-removal technology for coal-fired power plant
Zhang Xiaolu
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Application of Fuzzy Pattern Recognition in the Measurement of Slurry Concentration
Li Dejun,Lv Runhua,Wang Runtian
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Enhace Independent Innovation Ablity of Paper Industry,Construct Innovation System of Paper Technology
Zhang Dengchun,Weng Peifen
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A Study of the Atmospheric Environmental Capacity of Jingjinji and of the Five Northwestern Provinces and Autonomous Regions in China
Hao Jiming,Xu Jiayu,Wu Jian and Ma Qiao
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