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Analysis of driving forces behind diversified carbon dioxide emission patterns in regions of the mainland

Xin TIAN, Hidefumi IMURA, Miao CHANG, Feng SHI, Hiroki TANIKAWA

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3,   Pages 445-458 doi: 10.1007/s11783-011-0330-6

Abstract: China has large regional disparities in carbon dioxide CO emissions with economic development among its 31 provincial mainland regions. This paper investigates these disparities in CO emission patterns and identifies the factors underlying the differences. Results show that the 30 study China's mainland provinces (Tibet not included) can be divided into seven groups with three typical CO emission patterns. Index decomposition results indicate that changes in economic development, the industrial sector, and technology contribute far more to increased CO emissions than do population, energy structure, and other sectors. Close inspection reveals that different industry structures and technology contribute greatly to the differences observed in CO emissions between provinces with similar economic output. This study highlights the importance of region-specific industrial structure adjustment policies, especially for regions transitioning to heavy industry and for those still in the primary stages of industrialization. The potential application of a domestic carbon emissions trading system, to encourage regional investment in updated technology, is also discussed.

Keywords： carbon dioxide emission patterns     China     economic development     index decomposition analysis     industrialization    

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A review of salting-out effect and sugaring-out effect: driving forces for novel liquid-liquid extraction

Chuhan Fu, Zhuoxi Li, Zengran Sun, Shaoqu Xie

Frontiers of Chemical Science and Engineering 2021, Volume 15, Issue 4,   Pages 854-871 doi: 10.1007/s11705-020-1980-3

Abstract: Biofuels and bio-based chemicals are getting more and more attention because of their sustainable and renewable properties and wide industrial applications. However, the low concentrations of the targeted products in their fermentation broths, the complicated components of the broths and the high energy-intensive separation and purification process hinder the competitiveness of biofuels and biochemicals with the petro-based ones. Hence, the production and the separation of biofuels and bio-based chemicals in energy-saving, low-cost and greenness ways become hot topics nowadays. This review introduces the separation technologies (salting-out extraction, salting-out, sugaring-out extraction, and sugaring-out) that extract biobutanol, 1,3-propanediol, 2,3-butanediol, acetoin, organic acids and other bio-based chemicals from fermentation broths/aqueous solutions. Salting-out/sugaring-out extraction and salting-out/sugaring-out technologies display the high separating efficiency and the high targeted product yields. In addition, they are easy to operate and require low cost for separating products. Hence, they are the effective and potential technologies for separating targeted products in the wide industrial applications. The successful research into the salting-out/sugaring-out and salting-out/sugaring-out extraction not only affords biofuels and biochemical but also opens a door for the development of novel separation methods.

Keywords： salting-out     sugaring-out     extraction     biofuels     biochemicals     application    

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Driving mechanism and boundary control of urban sprawl

Dongmei JIANG,Xiaoshun LI,Futian QU,Mingyan LI,Shaoliang ZHANG,Yunlong GONG,Xiaoping SHI,Xin CHEN

Frontiers of Environmental Science & Engineering 2015, Volume 9, Issue 2,   Pages 298-309 doi: 10.1007/s11783-014-0639-z

Abstract: Since the reform and opening-up, China’s economy has achieved remarkable development and so does the urbanization. However, there is an unavoidable contradiction between urban sprawl and the protection of arable land and the environment. By redefining the urban sprawl boundary, this paper is to provide a solution for the conflict above on the China’s urbanization context. The ideal boundary, moderate boundary and limit boundary are defined for urban sprawl in space. Taking Nanjing city as a case, the three urban sprawl boundaries are estimated in this paper based on the calculation of agricultural land resources value in Nanjing. The results show that 1) the integrated value of agricultural (cultivated) land resources in Nanjing is 1.55 × 10 CNY·hm , the economic value accounts for only 8.74% of the integrated value, while 91.26% of the integrated value has not revealed itself due to the existing institutional arrangements, policy distortions, and imperfect land market; 2) it is difficult to define the ideal and moderate boundaries due to the relatively low price of North Nanjing. In South Nanjing the land price is expensive and the ideal, moderate and limit boundaries are expanded to Jiangning, Qixia, and Yuhuatai; 3) the city scale of South Nanjing should be limited within 5.82 × 10 hm , which is roughly the same as the designated size of 5.81 × 10 hm in the urban planning. It is suggested that the rational scope of urban expansion should be controlled within the moderate boundary.

Keywords： urban sprawl     rational expansion     driving forces     boundary control     Nanjing    

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Trends and driving forces of low-carbon energy technology innovation in China’s industrial sectors from

Xi ZHANG, Yong GENG, Yen Wah TONG, Harn Wei KUA, Huijuan DONG, Hengyu PAN

Frontiers in Energy 2021, Volume 15, Issue 2,   Pages 473-486 doi: 10.1007/s11708-021-0738-z

Abstract: Low-carbon energy technology (LC) innovation contributes to both environmental protection and economic development. Using the panel data of 30 provinces/autonomous regions/municipalities in China from 1998 to 2017, this paper constructs a two-layer logarithmic mean Divisia index (LMDI) model to uncover the factors influencing the variation of the innovation of LC in China’s industrial sectors, including the alternative energy production technology (AEPT) and the energy conversation technology (ECT). The results show that China’s industrial LC patent applications rapidly increased after 2005 and AEPT patent applications outweighed ECT patent applications all the time with a gradually narrowing gap. Low-carbon degree played the dominant role in promoting the increase in China’s industrial LC patent applications, followed by the economic scale, R&D (research and development) efficiency, and R&D share. Economic structure contributed to the increases in LC patent applications in the central and the western regions, while led to the decreases in the eastern region, the north-eastern region, and Chinese mainland . Low-carbon degree and economic scale were two main contributors to the growths of both industrial AEPT patent applications and ECT patent applications in Chinese mainland and the four regions. Several policy recommendations are made to further promote industrial innovation in China.

Keywords： low-carbon energy technology (LC)     logarithmic mean Divisia index (LMDI)     industrial sector     regional disparity     China    

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Exploring the development of municipal solid waste disposal facilities in Chinese cities: patterns and drivers

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 11, doi: 10.1007/s11783-023-1739-4

Abstract:

● We tracked Chinese cities’ MSW disposal infrastructure development history.

Keywords： China     Municipal solid waste (MSW)     Landfill     Incineration     Proliferation patterns     Driving forces    

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Industrial development and land use/cover change and their effects on local environment: a case study of Changshu in eastern coastal China

Yurui LI, Hualou LONG, Yansui LIU

Frontiers of Environmental Science & Engineering 2010, Volume 4, Issue 4,   Pages 438-448 doi: 10.1007/s11783-010-0273-3

Abstract: urbanization, agricultural structure adjustment, and rural housing construction were the major socio-economic drivingforces of LUCC in Changshu.

Keywords： industrial development     land use/cover change (LUCC)     driving forces     environmental effects     ecosystem services    

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The SOLIDS 6G Mobile Network Architecture: Driving Forces, Features, and Functional Topology Review

Guangyi Liu, Na Li, Juan Deng, Yingying Wang, Junshuai Sun, Yuhong Huang

Engineering 2022, Volume 8, Issue 1,   Pages 42-59 doi: 10.1016/j.eng.2021.07.013

Abstract: This article surveys the history and driving forces of the evolution of the mobile network architecture

Keywords： Sixth generation     Network features     Network architecture    

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Prediction of cutting forces in machining of unidirectional glass fiber reinforced plastics composite

Surinder Kumar GILL, Meenu GUPTA, P. S. SATSANGI

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 2,   Pages 187-200 doi: 10.1007/s11465-013-0262-x

Abstract: has become increasingly important in any engineering industry subsequently the prediction of cutting forcesForces quality has greater influence on components, which are coming in contact with each other.So it becomes necessary to measure and study machined forces and its behavior.Based on statistical analysis, multiple regression model for cutting forces is derived with satisfactoryThis model proved to be highly preferment for predicting cutting forces.

Keywords： unidirectional glass fiber reinforced plastics (UD-GFRP) composites     machining     cutting forces (tangential    

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Membrane Bioreactors for Industrial Wastewater Treatment in China: Technical and Economic Features, DrivingForces, and Perspectives Review

Jiao Zhang, Kang Xiao, Ziwei Liu, Tingwei Gao, Shuai Liang, Xia Huang

Engineering 2021, Volume 7, Issue 6,   Pages 868-880 doi: 10.1016/j.eng.2020.09.012

Abstract: The policy–economy and market–technology driving forces revealed that MBR is consistent with

Keywords： Full-scale application     Treatment capacity     Parameter     Footprint     Geographic demand     Policy    

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Spatiotemporal evolution and driving factors for GHG emissions of aluminum industry in China

Frontiers in Energy 2023, Volume 17, Issue 2,   Pages 294-305 doi: 10.1007/s11708-022-0819-7

Abstract: Decomposition analysis is also performed to uncover the driving factors of GHG emission generated from

Keywords： aluminum     material flow analysis     GHG (greenhouse gas) emissions     LMDI (logarithmic mean divisa index)    

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Large eddy simulation of turbulent buffet forces in flow induced vibration

XI Zhide, CHENG Bingde, LI Pengzhou

Frontiers in Energy 2008, Volume 2, Issue 4,   Pages 524-527 doi: 10.1007/s11708-008-0099-x

Abstract: The pressure pulse filter and Smagorinsky sub-grid stress model of the Large Eddy Simulation (LES) are introduced. The fluid field in the annular plenum between the pressure vessel and the core barrel of the1:5 model in the second phase of Qinshan Nuclear Power Plant is simulated, and the distribution of the total pressure in the space and time domains is obtained. The results show that the Power Spectrum Density (PSD) of LES from the calculation and the test are in the same quantity order. Thus, the pressure of LES can be a load to stimulate the barrel vibration.

Keywords： Spectrum Density     Smagorinsky sub-grid     vibration     calculation     Qinshan Nuclear    

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A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain Article

Deyi Li,Hongbo Gao

Engineering 2018, Volume 4, Issue 4,   Pages 464-470 doi: 10.1016/j.eng.2018.07.015

Abstract: The driving map used in intelligent vehicle test platform has no uniform standard, which leads to differentgranularity of driving map information.The sensor information processing module is directly associated with the driving map information anddecision-making module, which leads to the interface of intelligent driving system software module hasmap information are processed by using the formal language of driving cognition to form a driving situation

Keywords： Driving brain     Intelligent driving     Hardware platform framework    

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Mechanism of self-excited torsional vibration of locomotive driving system

Jianxin LIU, Huaiyun ZHAO, Wanming ZHAI

Frontiers of Mechanical Engineering 2010, Volume 5, Issue 4,   Pages 465-469 doi: 10.1007/s11465-010-0115-9

Abstract: vibration model were established to investigate the self-excited torsional vibration of a locomotive driving

Keywords： locomotive     driving system     self-excited torsional vibration     mechanism     influence factor    

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Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Strategic Study of CAE 2019, Volume 21, Issue 3,   Pages 92-97 doi: 10.15302/J-SSCAE-2019.03.004

Abstract:

As a key infrastructure to realize autonomous driving, autonomous drivingmap is crucial to the commercial development of the autonomous driving field in China.Meanwhile, combining the development trends of domestic and international autonomous driving fields,vehicles in China: formulating an autonomous driving map management mode, allowing pilot applicationand orderly opening of autonomous driving maps, appropriately opening up corporate authorization and

Keywords： autonomous driving map     autonomous driving regulation     autonomous driving policy    

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A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving Article

Jinxin Liu, Yugong Luo, Zhihua Zhong, Keqiang Li, Heye Huang, Hui Xiong

Engineering 2022, Volume 19, Issue 12,   Pages 228-239 doi: 10.1016/j.eng.2021.12.020

Abstract: preconditions for autonomous vehicles (AVs) to accomplish reasonable behavioral decisions and guarantee drivingintegrated probabilistic architecture for long-term vehicle trajectory prediction, which consists of a drivingThe DIM is designed and employed to accurately infer the potential driving intention based on a dynamicprocess (GP)-based TPM, considering both the short-term prediction results of the vehicle model and the drivingeffectiveness of our novel approach is demonstrated by conducting experiments on a public naturalistic driving

Keywords： Autonomous driving     Dynamic Bayesian network     Driving intention recognition     Gaussian process     Vehicle    

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Title Author Date Type Operation

Analysis of driving forces behind diversified carbon dioxide emission patterns in regions of the mainland

Xin TIAN, Hidefumi IMURA, Miao CHANG, Feng SHI, Hiroki TANIKAWA

Journal Article

A review of salting-out effect and sugaring-out effect: driving forces for novel liquid-liquid extraction

Chuhan Fu, Zhuoxi Li, Zengran Sun, Shaoqu Xie

Journal Article

Driving mechanism and boundary control of urban sprawl

Dongmei JIANG,Xiaoshun LI,Futian QU,Mingyan LI,Shaoliang ZHANG,Yunlong GONG,Xiaoping SHI,Xin CHEN

Journal Article

Trends and driving forces of low-carbon energy technology innovation in China’s industrial sectors from

Xi ZHANG, Yong GENG, Yen Wah TONG, Harn Wei KUA, Huijuan DONG, Hengyu PAN

Journal Article

Exploring the development of municipal solid waste disposal facilities in Chinese cities: patterns and drivers

Journal Article

Industrial development and land use/cover change and their effects on local environment: a case study of Changshu in eastern coastal China

Yurui LI, Hualou LONG, Yansui LIU

Journal Article

The SOLIDS 6G Mobile Network Architecture: Driving Forces, Features, and Functional Topology

Guangyi Liu, Na Li, Juan Deng, Yingying Wang, Junshuai Sun, Yuhong Huang

Journal Article

Prediction of cutting forces in machining of unidirectional glass fiber reinforced plastics composite

Surinder Kumar GILL, Meenu GUPTA, P. S. SATSANGI

Journal Article

Membrane Bioreactors for Industrial Wastewater Treatment in China: Technical and Economic Features, DrivingForces, and Perspectives

Jiao Zhang, Kang Xiao, Ziwei Liu, Tingwei Gao, Shuai Liang, Xia Huang

Journal Article

Spatiotemporal evolution and driving factors for GHG emissions of aluminum industry in China

Journal Article

Large eddy simulation of turbulent buffet forces in flow induced vibration

XI Zhide, CHENG Bingde, LI Pengzhou

Journal Article

A Hardware Platform Framework for an Intelligent Vehicle Based on a Driving Brain

Deyi Li,Hongbo Gao

Journal Article

Mechanism of self-excited torsional vibration of locomotive driving system

Jianxin LIU, Huaiyun ZHAO, Wanming ZHAI

Journal Article

Thoughts and Suggestions on Autonomous Driving Map Policy

Liu Jingnan, Dong Yang, Zhan Jiao, Gao Kefu

Journal Article

A Probabilistic Architecture of Long-Term Vehicle Trajectory Prediction for Autonomous Driving

Jinxin Liu, Yugong Luo, Zhihua Zhong, Keqiang Li, Heye Huang, Hui Xiong

Journal Article