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Field test of best management practice pollutant removal efficiencies in Shenzhen, China

Ru ZHANG , Wenbin ZHOU , Richard FIELD , Anthony TAFURI , Shaw L. YU , Keli JIN ,

Frontiers of Environmental Science & Engineering 2009, Volume 3, Issue 3,   Pages 354-363 doi: 10.1007/s11783-009-0033-4

Abstract: Yan Ma, Xiaoming Du, Yi Shi, Deyi Hou, Binbin Dong, Zhu Xu, Huiying Li, Yunfeng Xie, Jidun Fang, Zheng Li, Yunzhe Cao, Qingbao Gu, Fasheng Li. [J]. Front. Environ. Sci. Eng., 2016, 10(6): 6-.Meng Gao,Gregory R. Carmichael,Yuesi Wang,Dongsheng Ji,Zirui Liu,Zifa Wang. [J]. Front. Environ. Sci. Eng., 2016, 10(5): 16-.Wenyan Wang, Wei Ouyang, Fanghua Hao, Yun Luan, Bo Hu. [J]. Front. Environ. Sci. Eng., 2016, 10(4): 17-.Hallvard Ødegaard. [J]. Front. Environ. Sci. Eng., 2016, 10(4): 2-.Guoxia MA,Jinnan WANG,Fang YU,Yanshen ZHANG,Dong CAO. [J]. Front. Environ. Sci. Eng., 2016, 10(2): 288-298.Fei LI,Suocheng DONG,Fujia LI,Libiao YANG. [J]. Front. Environ. Sci. Eng., 2016, 10(2): 276-287.Chao ZENG,Dongjie NIU,Youcai ZHAO. [J]. Front. Environ. Sci. Eng., 2015, 9(6): 949-961.Yang PAN,Xiangru ZHANG,Jianping ZHAI. [J]. Front. Environ. Sci. Eng., 2015, 9(1): 121-130.Kang XIAO, Ying XU, Shuai LIANG, Ting LEI, Jianyu SUN, Xianghua WEN, Hongxun ZHANG, Chunsheng CHEN, Xia HUANG. [J]. Front. Environ. Sci. Eng., 2014, 8(6): 805-819.Shuxiao WANG,Lei ZHANG,Long WANG,Qingru WU,Fengyang WANG,Jiming HAO. [J]. Front.Environ.Sci.Eng., 2014, 8(5): 631-649.Wenqian CAI,Wei MENG,Lusan LIU,Kuixuan LIN. [J]. Front.Environ.Sci.Eng., 2014, 8(5): 737-746.Lili QU,Tianzhu ZHANG,Wei LU. [J]. Front.Environ.Sci.Eng., 2014, 8(4): 570-579.Jiaxing GUO, Huan LIU, Yang JIANG, Dongquan HE, Qidong WANG, Fei MENG, Kebin HE. [J]. Front Envir Sci Eng, 2014, 8(1): 79-88.Wei WEI, Shuxiao WANG, Jiming HAO, Shuiyuan CHENG. [J]. Front Envir Sci Eng, 2014, 8(1): 27-41.Haifeng JIA, Hairong YAO, Shaw L. YU. [J]. Front Envir Sci Eng, 2013, 7(5): 709-720.

Keywords： nonpoint source (NPS) pollution control     best management practices (BMPs)     Xikeng Reservoir     Shenzhen     China     BMPtreatment train    

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Study on train traction simulation of high speed motor train set

Kang Xiong

Strategic Study of CAE 2011, Volume 13, Issue 1,   Pages 62-68

Abstract:

Train traction simulation of high speed motor train set has significantThe calculation method of train traction simulation of high speed motor train set is studied and itsdifferences with general train traction calculation and its relative key theories are provided.actual applications of Beijing—Shanghai high speed railway include: calculation of four different trainIt is concluded by applications that the method of train traction simulation of high speed motor train

Keywords： high speed     motor train set     traction     simulation    

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Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 408-417 doi: 10.15302/J-FEM-2017042

Abstract: Train speed trajectory optimization is a significant issue in railway traffic systems, and it plays a

Keywords： train speed trajectory optimization     railway operation     stochastic programming    

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Machine learning for fault diagnosis of high-speed train traction systems: A review

Frontiers of Engineering Management doi: 10.1007/s42524-023-0256-2

Abstract: core component of HST, the reliability of the traction system has a substantially influence on the traindegrees of performance degradation and cause various failures, thus threatening the running safety of the train

Keywords： high-speed train     traction systems     machine learning     fault diagnosis    

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Metro train rescheduling by adding backup trains under disrupted scenarios

Jiateng YIN, Yihui WANG, Tao TANG, Jing XUN, Shuai SU

Frontiers of Engineering Management 2017, Volume 4, Issue 4,   Pages 418-427 doi: 10.15302/J-FEM-2017044

Abstract: In this study, we first develop a mixed integer programming model to determine the optimal train reschedulingThe aim of train rescheduling is to frequently dispatch trains to evacuate delayed passengers after theNumerical experiments are implemented to verify the effectiveness of the proposed train rescheduling

Keywords： train rescheduling     backup train     metro line     disruption     timetable    

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Coupling analysis of passenger and train flows for a large-scale urban rail transit system

Frontiers of Engineering Management 2023, Volume 10, Issue 2,   Pages 250-261 doi: 10.1007/s42524-021-0180-2

Abstract: Coupling analysis of passenger and train flows is an important approach in evaluating and optimizingThis study proposes a passenger–train interaction simulation approach to determine the coupling relationshipbetween passenger and train flows.On the bases of time-varying origin–destination demand, train timetable, and network topology, the proposed(including but not limited to) various indicators discussed in this research to effectively support train

Keywords： urban rail transit     coupling analysis     passenger–train interaction     large-scale simulation    

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Pollution survey of carbonyl compounds in train air

LU Hao, ZHU Lizhong

Frontiers of Environmental Science & Engineering 2007, Volume 1, Issue 1,   Pages 125-128 doi: 10.1007/s11783-007-0023-3

Abstract: The train is an important vehicle in China, but its air quality has important impacts on passengersThe carbonyl compounds in train air could be harmful to human health.
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Aerodynamic impact of train-induced wind on a moving motor-van

Jiajun HE; Huoyue XIANG; Yongle LI; Bin HAN

Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 7,   Pages 909-927 doi: 10.1007/s11709-022-0833-1

Abstract: The newly-built single-level rail-cum-road bridge brings the issue of the aerodynamic impact of train-inducedan aerodynamic impact mechanism was explored; a relationship between the transverse distance between train

Keywords： rail-cum-road bridge     aerodynamic impact     train-induced wind     CFD     aerodynamic force     quantitative analysis    

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How to Deal with Revolutions in Train Control Systems

Hideo Nakamura

Engineering 2016, Volume 2, Issue 3,   Pages 380-386 doi: 10.1016/J.ENG.2016.03.015

Abstract:

Train control systems ensure the safety of railways.This paper begins with a summary of the typical train control systems in Japan and Europe.Based on this summary, the author then raises the following question regarding current train control: What approach should be adopted in order to enhance the functionality, safety, and reliability of traincompetitiveness of a train control system.

Keywords： Train control system     Railway signaling     Communication-based train control system     Automatic train protection    

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Experimental and computational validation of a scaled train tunnel model using modal analysis

Janice B. D’SOUZA, Sangarapillai KANAPATHIPILLAI

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 420-428 doi: 10.1007/s11465-013-0281-7

Abstract: reverberation time in their designs so as to contribute to the health and well-being of those traveling by trainThe acoustical environment of a train tunnel is complex, with a variety of noise contributing factorssuch as train announcements, speech of commuters, ventilation systems, electrical equipment and wheel

Keywords： reverberation time     acoustic environment     modal properties     resonances    

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Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

Frontiers of Engineering Management 2021, Volume 8, Issue 4,   Pages 595-614 doi: 10.1007/s42524-021-0173-1

Abstract: Train speed profile optimization is an efficient approach to reducing energy consumption in urban railthat assume deterministic parameters as model inputs, this paper proposes a robust energy-efficient trainspeed profile optimization approach by considering the uncertainty of train modeling parameters.Then, a percentile reliability model is proposed to generate a robust train speed profile, by which thethe effectiveness of the model and analyze the influences of parameter uncertainties on the generated train

Keywords： robust train speed profile     percentile reliability model     scenario-based position–time–speed network    

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The important revelation of “7·23” passenger train accident

Sun Yongfu

Strategic Study of CAE 2012, Volume 14, Issue 12,   Pages 4-9

Abstract:

The process and reasons of “7·23” passenger train

Keywords： passenger train accident     the research and development management     the access management     the emergency    

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Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Frontiers of Mechanical Engineering 2017, Volume 12, Issue 3,   Pages 367-376 doi: 10.1007/s11465-017-0429-y

Abstract: >A new hierarchical parameter estimation method for doubly fed induction generator (DFIG) and drive trainFirstly, the parameters of the DFIG and the drive train are estimated locally under different types ofcoordination estimation method is further applied to identify the parameters of the DFIG and the drive train

Keywords： wind turbine generator     DFIG     drive train system     hierarchical parameter estimation method     trajectory sensitivity    

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Analysis on running safety of train on the bridge considering sudden change of wind load caused by wind

Tian ZHANG, He XIA, Weiwei GUO

Frontiers of Structural and Civil Engineering 2018, Volume 12, Issue 4,   Pages 558-567 doi: 10.1007/s11709-017-0455-1

Abstract: The calculation formulae for change of wind load acting on the car-body are derived when a train movesbarrier is established, and the influence of sudden change of wind load on the running safety of the trainbridge with 100 m long double-side 3.5 m barrier, the response and the running safety indices of the trainThe running safety indices of train vehicle with sectional wind barriers are worse than those with full

Keywords： wind barrier     sudden change of wind load     dynamic response     running safety     comfort    

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Study on dynamics of coupled systems in high-speed trains

Zhang Weihua

Strategic Study of CAE 2015, Volume 17, Issue 4,   Pages 42-52

Abstract:

According to the structure and technical features of high-speed railway， the high-speed train， railline， air flow， power supply and catenary which are relevant to the high-speed train and have an effecton the dynamic behavior of the high-speed train are coupled as a unified system.For the high speed train operation simulation requirements， this paper studied the train dynamics modeling[Key words] high-speed train； service performance； train detection； tracking test； performance evolution

Keywords： high-speed train； service performance； train detection； tracking test； performance evolution    

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Title Author Date Type Operation

Field test of best management practice pollutant removal efficiencies in Shenzhen, China

Ru ZHANG , Wenbin ZHOU , Richard FIELD , Anthony TAFURI , Shaw L. YU , Keli JIN ,

Journal Article

Study on train traction simulation of high speed motor train set

Kang Xiong

Journal Article

Robust train speed trajectory optimization: A stochastic constrained shortest path approach

Li WANG, Lixing YANG, Ziyou GAO, Yeran HUANG

Journal Article

Machine learning for fault diagnosis of high-speed train traction systems: A review

Journal Article

Metro train rescheduling by adding backup trains under disrupted scenarios

Jiateng YIN, Yihui WANG, Tao TANG, Jing XUN, Shuai SU

Journal Article

Coupling analysis of passenger and train flows for a large-scale urban rail transit system

Journal Article

Pollution survey of carbonyl compounds in train air

LU Hao, ZHU Lizhong

Journal Article

Aerodynamic impact of train-induced wind on a moving motor-van

Jiajun HE; Huoyue XIANG; Yongle LI; Bin HAN

Journal Article

How to Deal with Revolutions in Train Control Systems

Hideo Nakamura

Journal Article

Experimental and computational validation of a scaled train tunnel model using modal analysis

Janice B. D’SOUZA, Sangarapillai KANAPATHIPILLAI

Journal Article

Robust energy-efficient train speed profile optimization in a scenario-based position–time–speed network

Journal Article

The important revelation of “7·23” passenger train accident

Sun Yongfu

Journal Article

Hierarchical parameter estimation of DFIG and drive train system in a wind turbine generator

Xueping PAN, Ping JU, Feng WU, Yuqing JIN

Journal Article

Analysis on running safety of train on the bridge considering sudden change of wind load caused by wind

Tian ZHANG, He XIA, Weiwei GUO

Journal Article

Study on dynamics of coupled systems in high-speed trains

Zhang Weihua

Journal Article