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Permitted emissions of major air pollutants from coal-fired power plants in China based on best availablecontrol technology

Xiaohui Song, Chunlai Jiang, Yu Lei, Yuezhi Zhong, Yanchao Wang

Frontiers of Environmental Science & Engineering 2018, Volume 12, Issue 5, doi: 10.1007/s11783-018-1065-4

Abstract: > and NOx emission performance standards for coal-fired power plants based on the bestavailable control technology.

Keywords: Coal-fired power-generating units (CFPGU)     Emission performance     Best available control technology    

The evaluation of best available technology for pollution control and analysis of the potential for pollution

Li Xuhua,Fang Gang,Dang Chunge and Yu Xiuling

Strategic Study of CAE 2013, Volume 15, Issue 3,   Pages 56-61

Abstract: density of pollution, belonging to the high polluting industries, is one of the main threats of pollution controlweight and quantifying value of each index with analytic hierarchy process (AHP), and evaluated the technologyOn this basis, prediction of pollution reduction potential of best available technologies (BATs) wasIt also proved that clean production technology was superior to end treatment, and clean production technology

Keywords: electrolytic manganese     pollution prevention and control     best available technology     emission reduction    

The evaluation method of best available technology for emission reduction of ammonia in nitrogen fertilizer

Luo Qijin,Chen Jianyu,Wang Zhenxing,Pang Zhihua,Ye Wansheng

Strategic Study of CAE 2014, Volume 16, Issue 8,   Pages 88-92

Abstract: text-align: justify;">According to the request of emission reduction of industry and total ammonia amount controlhierarchy process with grey comprehensive evaluation method were combined,a kind of evaluation method of bestavailable technology for emission reduction of ammonia in nitrogen fertilizer industry was developed

Keywords: ammonia     total amount control     comprehensive evaluation    

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    

Tracking control of robot manipulators via output feedback linearization

FEI Yue-nong, Wu Qing-hua

Frontiers of Mechanical Engineering 2006, Volume 1, Issue 3,   Pages 329-335 doi: 10.1007/s11465-006-0034-y

Abstract: The simulation results show that the proposed controller has more superior tracking control performancewith a sliding mode controller (SMC) designed based on state feedback linearization with full states available

Keywords: available     comparison     unmeasurable     nonlinear     perturbation observer    

Evaluation method and computer software development on best available technologies for heavy pollution

Xiang Liancheng,Song Yonghui,Duan Liang,Li Rui,Li Cong and Liu Xueyu

Strategic Study of CAE 2013, Volume 15, Issue 3,   Pages 49-55

Abstract: heavy pollution industrial wastewater treatment technologies, and aiming at the problems of treatment technology

Keywords: Liaohe River basin     industry wastewater treatment     technology evaluation method     software system    

FESE’s Best Papers of 2018

Frontiers of Environmental Science & Engineering 2019, Volume 13, Issue 3, doi: 10.1007/s11783-019-1138-z

Abstract:

Advances in LID BMPs research and practice for urban runoff control in China

Haifeng JIA, Hairong YAO, Shaw L. YU

Frontiers of Environmental Science & Engineering 2013, Volume 7, Issue 5,   Pages 709-720 doi: 10.1007/s11783-013-0557-5

Abstract: In particular, urban runoff quantity and quality control have emerged as one of the key concerns forOne of the strategies being considered is the use of a Low Impact Development type of Best ManagementPractices (LID BMPs) for urban storm water runoff quantity and quality control.In this paper, the situation surrounding urban runoff control in China is reviewed first.The LID BMPs are then introduced to control urban runoff in the context of urban sustainable water systems

Keywords: urbanization     urban runoff control     Low Impact Development type of Best Management Practices (LID BMPs)    

’s Best Papers of 2015

Frontiers of Environmental Science & Engineering 2016, Volume 10, Issue 4, doi: 10.1007/s11783-016-0858-6

FESE′s Best Papes of 2014

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 3,   Pages 563-563 doi: 10.1007/s11783-015-0788-8

FESE’s Best Papers of 2016

Frontiers of Environmental Science & Engineering 2017, Volume 11, Issue 3, doi: 10.1007/s11783-017-0944-4

FESE’s Best Papers of 2019

Frontiers of Environmental Science & Engineering 2020, Volume 14, Issue 3, doi: 10.1007/s11783-020-1234-0

FESE’s Best Papers of 2020

Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-021-1424-4

FESE’s Best Papers of 2021

Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 6, doi: 10.1007/s11783-022-1561-4

FESE’s Best Papers of 2022

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 6, doi: 10.1007/s11783-023-1678-0

Title Author Date Type Operation

Permitted emissions of major air pollutants from coal-fired power plants in China based on best availablecontrol technology

Xiaohui Song, Chunlai Jiang, Yu Lei, Yuezhi Zhong, Yanchao Wang

Journal Article

The evaluation of best available technology for pollution control and analysis of the potential for pollution

Li Xuhua,Fang Gang,Dang Chunge and Yu Xiuling

Journal Article

The evaluation method of best available technology for emission reduction of ammonia in nitrogen fertilizer

Luo Qijin,Chen Jianyu,Wang Zhenxing,Pang Zhihua,Ye Wansheng

Journal Article

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

Tracking control of robot manipulators via output feedback linearization

FEI Yue-nong, Wu Qing-hua

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Evaluation method and computer software development on best available technologies for heavy pollution

Xiang Liancheng,Song Yonghui,Duan Liang,Li Rui,Li Cong and Liu Xueyu

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FESE’s Best Papers of 2018

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Advances in LID BMPs research and practice for urban runoff control in China

Haifeng JIA, Hairong YAO, Shaw L. YU

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FESE′s Best Papes of 2014

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FESE’s Best Papers of 2019

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