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Factors like intensive industrial and socio-economic development can lead to the deterioration of the water environment. At the same time, economic, social, and population sustainability rely on good water conditions in the river. Therefore, it is important to calculate the water environment capacity and allocate it accordingly. Our research selects the economic, social, and environmental factors to construct a water environment capacity allocation model using the analytic network process. Allocation results are as follows: there are Liaozhong County, Tiexi District, and Liaoyang County, where the water environment capacity allocation value exceeds 10 000 t/a at 18 336.25, 12 743.19, and 10 585.53 t/a, respectively. Dashiqiao City’s water environmental capacity allocation is the least, at only 78.30 t/a. In the paper, the goal to allocate water environment capacity from the three major rivers to the administrative area is achieved in Liaoning Province, thus making the allocation result more comprehensive and fairer. It provides a scientific basis for controlling the water environment in Liaoning Province.
Qiang Yue; Yujie Zhang; Chunyu Li; Meng Xue; Limin Hou; Tong Wang. Research of Water Environment Capacity Allocation in Liaoning Province Based on the Analytic Network Process. Water Resources 2021, 48, 310 -323.
AMA StyleQiang Yue, Yujie Zhang, Chunyu Li, Meng Xue, Limin Hou, Tong Wang. Research of Water Environment Capacity Allocation in Liaoning Province Based on the Analytic Network Process. Water Resources. 2021; 48 (2):310-323.
Chicago/Turabian StyleQiang Yue; Yujie Zhang; Chunyu Li; Meng Xue; Limin Hou; Tong Wang. 2021. "Research of Water Environment Capacity Allocation in Liaoning Province Based on the Analytic Network Process." Water Resources 48, no. 2: 310-323.
Water environment carrying capacity (WECC) is an important index to investigate the carrying capacity of water environment to human life and production. In this study, the index system method and system dynamics method were combined to calculate the water environment carrying capacity. Zhaosutai river Tieling city control unit was chosen for deteriorated water environment and the water environment carrying capacity was evaluated and early warned. The water environment carrying capacity of Zhaosutai river Tieling city control unit is calculated from 2012 to 2035, with the maximum value of 0.7817 in 2018 and the minimum value of 0.3300 in 2013. From 2020 to 2035, it is predicted that the water environment carrying capacity of Zhaosutai river Tieling city control unit will be changed from light warning to moderate warning. Through the multi-scenario simulation of four scenarios, it can be found that it is more beneficial to improve the water environment carrying capacity to limit the social and economic development while reducing the emission of pollutants. It provides an effective scientific reference for the government to coordinate environmental protection and economic development.
Yujie Zhang; Qiang Yue; Tong Wang; Yue Zhu; Yan Li. Evaluation and early warning of water environment carrying capacity in Liaoning province based on control unit: A case study in Zhaosutai river Tieling city control unit. Ecological Indicators 2021, 124, 107392 .
AMA StyleYujie Zhang, Qiang Yue, Tong Wang, Yue Zhu, Yan Li. Evaluation and early warning of water environment carrying capacity in Liaoning province based on control unit: A case study in Zhaosutai river Tieling city control unit. Ecological Indicators. 2021; 124 ():107392.
Chicago/Turabian StyleYujie Zhang; Qiang Yue; Tong Wang; Yue Zhu; Yan Li. 2021. "Evaluation and early warning of water environment carrying capacity in Liaoning province based on control unit: A case study in Zhaosutai river Tieling city control unit." Ecological Indicators 124, no. : 107392.
The rapid economic growth and industrialization in China have induced a large aluminum demand since 1990. Faced with the complex international economic situation recently, China proposed a new national development pattern of “with the big domestic cycle as the main body, the domestic and international double cycles promote each other”. Under the guidance of this kind of macro-control thinking, China’s aluminum industry (CAI) may also need to make corresponding adjustments to future development policies. This paper used dynamic material flow analysis (MFA), regression analysis, and normal life distribution to estimate the domestic consumption, scrap generation, and in-use stock of aluminum from 1990 to 2030 in China. The results show that the amount of domestic consumption, scrap generation, in-use stock has been increasing from 1990 and are expected to reach 54, 19, and 640 Tg in 2030, respectively. Then, the scenario analysis method was adopted to discuss the impact of reducing external circulation (export volume) of aluminum on China’s aluminum production and related GHG emissions. The results of the scenario analysis indicate that effective measures to reduce the export of aluminum products could lead to significant mitigation in China’s primary aluminum production and GHG emissions. Besides, the amount of recycled aluminum will gradually increase in the future, and the proportion of it will reach about 30% by 2030 (22% in 2017) even under the most unfavorable scenario. Relying on the growth of recycled aluminum and the decline in exports of aluminum products, CAI is expected to reach the peak of GHG emissions around 2030, on the premise of meeting the domestic strong aluminum consumption.
Shupeng Li; Tingan Zhang; Liping Niu; Qiang Yue. Analysis of the development scenarios and greenhouse gas (GHG) emissions in China’s aluminum industry till 2030. Journal of Cleaner Production 2021, 290, 125859 .
AMA StyleShupeng Li, Tingan Zhang, Liping Niu, Qiang Yue. Analysis of the development scenarios and greenhouse gas (GHG) emissions in China’s aluminum industry till 2030. Journal of Cleaner Production. 2021; 290 ():125859.
Chicago/Turabian StyleShupeng Li; Tingan Zhang; Liping Niu; Qiang Yue. 2021. "Analysis of the development scenarios and greenhouse gas (GHG) emissions in China’s aluminum industry till 2030." Journal of Cleaner Production 290, no. : 125859.
China is experiencing unprecedented industrialization and urbanization which promotes the rapid growth of iron resource consumption and in-use stock. The material flow analysis (MFA) model and the average use life method were applied to analyze China's iron in-use stock (IIUS), and the IIUS reached 7.07 billion tons in 2016 in the reference scenario. Three driving factors of the intensity of IIUS were analyzed. Among them, the per capita IIUS was rising, and it was 5.11 t/cap in 2016 in the reference scenario. In addition, the per capita crude steel output has stabilized, which was 0.58 t/cap in 2016. The intensity of crude steel use was declining and showed the inverted U-shape. The decoupling indicator was applied to analyze the relationship between IIUS and economic growth. The decoupling of IIUS from economic growth was later than that of actual iron consumption, and the IIUS did not decoupling from economic growth in recent years. The actual iron consumption has continued to decoupling from economic growth since 2010, and the decoupling indicator peaked at 1.76 in 2015. The future per capita IIUS was predicted in different scenario and the relationship between future IIUS and GDP was analyzed. The per capita IIUS will reach saturation in 2030–2040, and the intensity of IIUS also conforms to the inverted U-shape.
Feng Zhao; Qiang Yue; Junhao He; Yun Li; Heming Wang. Quantifying China's iron in-use stock and its driving factors analysis. Journal of Environmental Management 2020, 274, 111220 .
AMA StyleFeng Zhao, Qiang Yue, Junhao He, Yun Li, Heming Wang. Quantifying China's iron in-use stock and its driving factors analysis. Journal of Environmental Management. 2020; 274 ():111220.
Chicago/Turabian StyleFeng Zhao; Qiang Yue; Junhao He; Yun Li; Heming Wang. 2020. "Quantifying China's iron in-use stock and its driving factors analysis." Journal of Environmental Management 274, no. : 111220.
China's building industry is the industry with the largest carbon emissions. In this study, Chinese buildings were divided into three categories: rural residential buildings, urban residential buildings and public buildings. The building steel stock was calculated, and the five contributing factors of China's building carbon emissions from 2000 to 2015 were analyzed by factor decomposition analysis and Logarithmic Mean Divisia Index (LMDI) model. They were energy intensity, energy emission coefficient, per capita building steel stock, economic output level and per capita Gross Domestic Product (GDP). This study found that China's building steel stock had increased from 1.32 billion tons in 2000 to 2.89 billion tons in 2015, and its building energy consumption had increased from 264 million tons of standard coal in 2000 to 868 million tons in 2015. The other four factors promoted to the growth of building carbon emissions except for the energy emission coefficient. The biggest contributing factor was the level of economic output, with an average annual contribution of CO2 of 1.146 billion tons. And the second biggest factor contributing was the per capita building steel stock. Therefore, China should focus on the impact of these two factors on building carbon emissions in future.
Junhao He; Qiang Yue; Yun Li; Feng Zhao; Heming Wang. Driving force analysis of carbon emissions in China’s building industry: 2000–2015. Sustainable Cities and Society 2020, 60, 102268 .
AMA StyleJunhao He, Qiang Yue, Yun Li, Feng Zhao, Heming Wang. Driving force analysis of carbon emissions in China’s building industry: 2000–2015. Sustainable Cities and Society. 2020; 60 ():102268.
Chicago/Turabian StyleJunhao He; Qiang Yue; Yun Li; Feng Zhao; Heming Wang. 2020. "Driving force analysis of carbon emissions in China’s building industry: 2000–2015." Sustainable Cities and Society 60, no. : 102268.
Petroleum refining is a technology complex, energy- and CO2 emission-intensive industrial process, which is affected by the type and property of the crude oil. China has been the exploitation of crude oil to paraffinic most. This paper targets to quantify and evaluate the material or energy metabolism and environment loads of paraffin-based petroleum at refining process unit-level through the established petroleum flow and energy flow on the CO2 emissions accounting framework, and explores energy conservation and CO2 emission reduction pathways and policy implications, using a typical paraffin-based petroleum refining enterprise in China as a case. The results indicated that the crude oil from the inputs were fractionated in the atmospheric and vacuum distillation (AVD) unit, and its energy consumption and CO2 emissions accounted for 14.38% and 13.2% of the total energy consumption and CO2 emissions in the case study, respectively. With the transformation of petroleum refinery plant structure, fluid catalytic cracking (FCC), ketone benzol dewaxing (KBD), and delayed coking units dominated more energy consumption and CO2 emissions. FCC unit was both the largest energy consumer and supplier, flue gas waste heat recovery efficiency of which was an important factor affecting energy conservation and CO2 emission reduction for FCC unit and even enterprise. KBD unit records the largest energy and CO2 emission intensities, which are 67.95 kgce/t product and 256.82 kgCO2e/t product respectively, due to the high wax content of paraffin-based crude oil and the coal-dominated power generation structure. Based on these research findings, three mitigation policy recommendations were proposed, including the improvement of energy efficiency, optimization of energy consumption structure and product output structure. Carbon capture and storage can reduce CO2 emission by about a third in the concentrated units of primary energy consumption (i.e. AVD, FCC, and DC). The results of this paper are key components of the life cycle assessment of the CO2 emissions of petroleum fuels produced by domestic paraffin-based crude oil.
Feng-Rui Jia; Wan-Ting Jing; Guang-Xin Liu; Qiang Yue; He-Ming Wang; Lei Shi. Paraffin-based crude oil refining process unit-level energy consumption and CO2 emissions in China. Journal of Cleaner Production 2020, 255, 120347 .
AMA StyleFeng-Rui Jia, Wan-Ting Jing, Guang-Xin Liu, Qiang Yue, He-Ming Wang, Lei Shi. Paraffin-based crude oil refining process unit-level energy consumption and CO2 emissions in China. Journal of Cleaner Production. 2020; 255 ():120347.
Chicago/Turabian StyleFeng-Rui Jia; Wan-Ting Jing; Guang-Xin Liu; Qiang Yue; He-Ming Wang; Lei Shi. 2020. "Paraffin-based crude oil refining process unit-level energy consumption and CO2 emissions in China." Journal of Cleaner Production 255, no. : 120347.
As the consumption of aluminum products in China continues to increase in recent years, the in-use stock of aluminum products is increasing. With the service life of aluminum products about to run out and the shortage of bauxite resources in China, recycling domestic aluminum scrap to produce secondary aluminum will become an inevitable trend. With reference to the development status of secondary aluminum in developed countries and the scenario we set, the future production and stock ratio of secondary aluminum in China are predicted. According to our selected scenarios, the research results include: (1) China's primary aluminum will reach its peak around 2025, and its production capacity will gradually decrease with the replacement of secondary aluminum in China; (2) With the increasing domestic aluminum stocks, China began to enter the era of scrap aluminum recycling after 2020, and the peak supply of aluminum scrap lagged behind the peak consumption of aluminum for 10–20 years. (3) The in-use stock of aluminum will peak around 2040 and the in-use stock of secondary aluminum will be saturated around 2060. (4) With the recycling of aluminum scrap, secondary aluminum will break through the production level of 10 million tons in 2023. The level of secondary aluminum in China will exceed the production level of primary aluminum for the first time around 2035. After 2050, secondary aluminum production will account for more than 60% of the total output and the secondary aluminum stock ratio (SASR) will account for more than 70%. Thus, there will be a rapid shifting in production capacity from primary to secondary routes. In this case, the relevant policies should pay more attention to the recovery of aluminum scrap and the production of secondary aluminum. As China's aluminum will maintain this strong consumption momentum and the shortage of bauxite in the country, research on China's future secondary aluminum will become increasingly important.
Yun Li; Qiang Yue; Junhao He; Feng Zhao; Heming Wang. When will the arrival of China's secondary aluminum era? Resources Policy 2019, 65, 101573 .
AMA StyleYun Li, Qiang Yue, Junhao He, Feng Zhao, Heming Wang. When will the arrival of China's secondary aluminum era? Resources Policy. 2019; 65 ():101573.
Chicago/Turabian StyleYun Li; Qiang Yue; Junhao He; Feng Zhao; Heming Wang. 2019. "When will the arrival of China's secondary aluminum era?" Resources Policy 65, no. : 101573.
China's electricity generation is currently dominated by TPG, which discharges large amounts of pollutants; this has caused serious environmental problems. In order to achieve sustainable development during electricity generation, this study compared the sustainability of the six main approaches for electricity generation being used in Liaoning Province: thermal power, nuclear power, wind power, hydropower, photovoltaic power, and biomass power generation. Firstly, the environmental impact and unit electricity generation cost of each electricity generation approach was calculated and analyzed from the perspectives of both LCA and LCC. Then, the energy potential of electricity generation approaches in Liaoning Province was calculated. Finally, the entropy weighted method was used to combine the environmental impacts, UEGC, and energy potentials of each energy source, producing a mathematical evaluation model for determining the sustainability of electricity generation for each. As a result, the six approaches were ranked in terms of electricity sustainability in Liaoning Province as follows: WPG, NPG, BPG, HPG, PPG, and TPG. In the future development of electricity industry, Liaoning Province should increase the proportion of wind power, nuclear power and biomass power generation in total installed capacity; reduce the proportion of thermal power in total installed capacity as much as possible.
Qiang Yue; Shupeng Li; Xiangzheng Hu; Yujie Zhang; Meng Xue; Heming Wang. Sustainability Analysis of Electricity Generation Technologies Based on Life‐Cycle Assessment and Life‐Cycle Cost—A Case Study in Liaoning Province. Energy Technology 2019, 7, 1 .
AMA StyleQiang Yue, Shupeng Li, Xiangzheng Hu, Yujie Zhang, Meng Xue, Heming Wang. Sustainability Analysis of Electricity Generation Technologies Based on Life‐Cycle Assessment and Life‐Cycle Cost—A Case Study in Liaoning Province. Energy Technology. 2019; 7 (7):1.
Chicago/Turabian StyleQiang Yue; Shupeng Li; Xiangzheng Hu; Yujie Zhang; Meng Xue; Heming Wang. 2019. "Sustainability Analysis of Electricity Generation Technologies Based on Life‐Cycle Assessment and Life‐Cycle Cost—A Case Study in Liaoning Province." Energy Technology 7, no. 7: 1.
Owing to the significant recent economic development in China, petroleum consumption has increased exponentially. This has caused an associated increase in CO2 emissions from the energy sector. This study evaluates development trends in dynamic petroleum flows and spatial patterns in petroleum products consumption (PC) and petroleum-related CO2 emissions (PRCEs) at the provincial level in China from 1995 to 2017. We first established a dynamic material flow analysis model for petroleum flow to quantify the environmental load generated by petroleum flows. A spatial pattern analysis was performed to investigate the spatiotemporal distribution and centers of PC and PRCEs and reveal the spatial clusters or outliers of the PC and PRCE intensity. The results showed that: there is a bi-directional causal relationship between economic growth and PC, and the optimization of economic structure changed the PC structure and reduced PRCE intensity. PC and PRCEs were characterized by spatial differences and imbalances at the provincial level over the period of 1995–2017. The spatial patterns of the hotspots for PC and PRCEs exhibited an inverted F-shape, i.e., concentrated on the provinces along the east coast and the Yangtze River. The spatial mean centers are distributed in eastern China and showed a gradual shift towards the southwest. There is evident cluster effect for the regional PC and PRCEs intensities. Economically underdeveloped provinces had higher PC and PRCE intensity values, such as Heilongjiang and Xinjiang provinces. Spatial differences in PC and PRCEs among provinces should be carefully considered in policy preparation. These spatial differences accelerate petroleum-related infrastructure construction, stabilize domestic petroleum production, and optimize the economic structure that can reduce the reliance on PC and form an effective measure for PRCE reduction.
Guang-Xin Liu; Ming Wu; Feng-Rui Jia; Qiang Yue; He-Ming Wang. Material flow analysis and spatial pattern analysis of petroleum products consumption and petroleum-related CO2 emissions in China during 1995–2017. Journal of Cleaner Production 2018, 209, 40 -52.
AMA StyleGuang-Xin Liu, Ming Wu, Feng-Rui Jia, Qiang Yue, He-Ming Wang. Material flow analysis and spatial pattern analysis of petroleum products consumption and petroleum-related CO2 emissions in China during 1995–2017. Journal of Cleaner Production. 2018; 209 ():40-52.
Chicago/Turabian StyleGuang-Xin Liu; Ming Wu; Feng-Rui Jia; Qiang Yue; He-Ming Wang. 2018. "Material flow analysis and spatial pattern analysis of petroleum products consumption and petroleum-related CO2 emissions in China during 1995–2017." Journal of Cleaner Production 209, no. : 40-52.
Heming Wang; Shen Zhao; Yao Wei; Qiang Yue; Tao Du. Measuring the Decoupling Progress in Developed and Developing Countries. Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018) 2018, 1 .
AMA StyleHeming Wang, Shen Zhao, Yao Wei, Qiang Yue, Tao Du. Measuring the Decoupling Progress in Developed and Developing Countries. Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018). 2018; ():1.
Chicago/Turabian StyleHeming Wang; Shen Zhao; Yao Wei; Qiang Yue; Tao Du. 2018. "Measuring the Decoupling Progress in Developed and Developing Countries." Proceedings of the 8th International Conference on Management and Computer Science (ICMCS 2018) , no. : 1.
冯睿 贾; Jia Fengrui; 晨 郎; 广鑫 刘; 琪 孙; 丹竹 马; 强 岳; Lang Chen; Liu Guangxin; Sun Qi; Ma Danzhu; Yue Qiang. 基于物质流分析的中国金属铜资源生态效率研究. 资源科学 2018, 40, 1706 -1715.
AMA Style冯睿 贾, Jia Fengrui, 晨 郎, 广鑫 刘, 琪 孙, 丹竹 马, 强 岳, Lang Chen, Liu Guangxin, Sun Qi, Ma Danzhu, Yue Qiang. 基于物质流分析的中国金属铜资源生态效率研究. 资源科学. 2018; 40 (9):1706-1715.
Chicago/Turabian Style冯睿 贾; Jia Fengrui; 晨 郎; 广鑫 刘; 琪 孙; 丹竹 马; 强 岳; Lang Chen; Liu Guangxin; Sun Qi; Ma Danzhu; Yue Qiang. 2018. "基于物质流分析的中国金属铜资源生态效率研究." 资源科学 40, no. 9: 1706-1715.
Based on a Material Flow Analysis (MFA) framework, a system of Material Flow Indicators for Petroleum Flows (MFIs-PF) in China during 1980–2015 was established and Comprehensively Evaluated (CE) using the entropy method. The comprehensive evaluation represented petroleum flows efficiency in terms of three different aspects: petroleum inputs, flows, and outputs. The CE results showed that petroleum flows efficiency exhibited a slow increase by 45%, with fluctuations for the period 1980–2015. However, there were significant differences among the developmental trajectories of the MFIs-PF. With respect to inputs indicators, direct petroleum inputs occupied the biggest weight in MFIs-PF system, furthermore, the direct petroleum inputs and dependence on petroleum imports grew rapidly, increasing from 106 million tonnes and 0.3% in 1980 to 550 million tonnes and 61% in 2015, respectively. Regarding flows indicators, the growth rate of petroleum production was slower than that of petroleum consumption, and the average of elasticity of petroleum production and consumption were approximately 0.23 and 0.73, respectively. In addition, the increase of the net addition to stocks reduced fluctuations in CE since 2010. Output indicators played a negative role in the development of petroleum flow efficiency and increased environmental load. Petroleum-related CO2 emissions grew by 4.3 times with the increase in petroleum consumption from 1980 to 2015 and expected to peak in 2035. While indirect CO2 emissions of petroleum flows processes fluctuated within the range of 96–217 kg CO2/t petroleum, with an average of 153 kg CO2/t petroleum. Driven by the policies, broadening the sources of petroleum imports, increasing domestic petroleum stock, and improving the efficiency of petroleum utilization are effective measures to increase the petroleum flows efficiency.
Guang-Xin Liu; Ming Wu; Feng-Rui Jia; Qiang Yue; Heming Wang. Entropy-weighted comprehensive evaluation of petroleum flow in China during 1980–2015. Journal of Cleaner Production 2018, 195, 593 -604.
AMA StyleGuang-Xin Liu, Ming Wu, Feng-Rui Jia, Qiang Yue, Heming Wang. Entropy-weighted comprehensive evaluation of petroleum flow in China during 1980–2015. Journal of Cleaner Production. 2018; 195 ():593-604.
Chicago/Turabian StyleGuang-Xin Liu; Ming Wu; Feng-Rui Jia; Qiang Yue; Heming Wang. 2018. "Entropy-weighted comprehensive evaluation of petroleum flow in China during 1980–2015." Journal of Cleaner Production 195, no. : 593-604.
The major problem of the energy production in oil refineries is the high emission of CO2 in China. The fluid catalytic cracking unit (FCC) is the key source of carbon emission in the oil refineries. According to the statistical data, the carbon emission of FCC unit accounts for more than 31% for the typical oil refineries. The carbon flow of FCC in the typical Chinese oil refineries were evaluated and analysed, which aimed at the solution of CO2 emission reduction. The method of substances flow analysis (SFA) and the mathematical programming were used to evaluate the carbon metabolism and optimize the carbon emission. The results indicated that the combustion emission of the reaction-regeneration subsystem (RRS) was the major source of FCC. The quantity of CO2 emission of RSS was more than 90%. The combustion efficiency and the amount of residual oil affected the carbon emission of RRS most according to the optimized analysis of carbon emission reduction. Moreover, the fractionation subsystem (TFS) had the highest environmental efficiency and the absorption-stabilization subsystem (ASS) had the highest resource efficiency (approximately to 1) of carbon.
Fengrui Jia; Na Wei; Danzhu Ma; Guangxin Liu; Ming Wu; Qiang Yue. Carbon flow analysis and Carbon emission reduction of FCC in Chinese oil refineries. IOP Conference Series: Earth and Environmental Science 2017, 81, 012047 .
AMA StyleFengrui Jia, Na Wei, Danzhu Ma, Guangxin Liu, Ming Wu, Qiang Yue. Carbon flow analysis and Carbon emission reduction of FCC in Chinese oil refineries. IOP Conference Series: Earth and Environmental Science. 2017; 81 (1):012047.
Chicago/Turabian StyleFengrui Jia; Na Wei; Danzhu Ma; Guangxin Liu; Ming Wu; Qiang Yue. 2017. "Carbon flow analysis and Carbon emission reduction of FCC in Chinese oil refineries." IOP Conference Series: Earth and Environmental Science 81, no. 1: 012047.
Research for the decoupling of oil use from GDP growth has significance meaning to promotion and implementation of energy conservation in Northeast China. According to the calculation formula of decoupling index (Dr), the Dr of Northeast China are calculated respectively in 2000-2012, respectively. Radial Basis Function (RBF) neural network forecasting model is established, and the accuracy of the model is verified. Using the model to predict the Dr value 2013 - 2020. The results show that: the values of Dr are greater than 0 in Northeast China, where the Jilin average annual Dr is the maximum value about 0.97. RBF neural network forecasting results shows that Dr is greater than 0 in 2013-2020, and no-decoupling state doesn't appear.
Guangxin Liu; Ming Wu; Fengrui Jia; Xin Fu; Qiang Yue. Decoupling of oil use from economic growth in Northeast China. IOP Conference Series: Earth and Environmental Science 2017, 81, 012055 .
AMA StyleGuangxin Liu, Ming Wu, Fengrui Jia, Xin Fu, Qiang Yue. Decoupling of oil use from economic growth in Northeast China. IOP Conference Series: Earth and Environmental Science. 2017; 81 (1):012055.
Chicago/Turabian StyleGuangxin Liu; Ming Wu; Fengrui Jia; Xin Fu; Qiang Yue. 2017. "Decoupling of oil use from economic growth in Northeast China." IOP Conference Series: Earth and Environmental Science 81, no. 1: 012055.
Yanni Xuan; Qiang Yue. Scenario analysis on resource and environmental benefits of imported steel scrap for China’s steel industry. Resources, Conservation and Recycling 2017, 120, 186 -198.
AMA StyleYanni Xuan, Qiang Yue. Scenario analysis on resource and environmental benefits of imported steel scrap for China’s steel industry. Resources, Conservation and Recycling. 2017; 120 ():186-198.
Chicago/Turabian StyleYanni Xuan; Qiang Yue. 2017. "Scenario analysis on resource and environmental benefits of imported steel scrap for China’s steel industry." Resources, Conservation and Recycling 120, no. : 186-198.
Qiang Yue; Heming Wang; Chengkang Gao; Tao Du; Mingjun Li; Zhongwu Lu. Analysis of iron in-use stocks in China. Resources Policy 2016, 49, 315 -322.
AMA StyleQiang Yue, Heming Wang, Chengkang Gao, Tao Du, Mingjun Li, Zhongwu Lu. Analysis of iron in-use stocks in China. Resources Policy. 2016; 49 ():315-322.
Chicago/Turabian StyleQiang Yue; Heming Wang; Chengkang Gao; Tao Du; Mingjun Li; Zhongwu Lu. 2016. "Analysis of iron in-use stocks in China." Resources Policy 49, no. : 315-322.
Economic development has contributed to the rapid expansion of China's steel industry during the past two decades, which has resulted in numerous problems including increased energy consumption and excessive environmental pollution. This study examines changes in crude steel production, steel scrap consumption, energy consumption, CO2emissions and steel stocks per capita from 2000 to 2014. Scenario analysis based on QGT equation is provided to accurately assess China's steel demand. Under three different scenarios, the peak of steel production and the variation trend of energy consumption, CO2emissions, steel stocks per capita and steel scrap are analyzed from 2010 to 2030. Based on Chinese situation, the most reasonable variation trend of China's steel production is proposed, which will increase from 626.7 Mt in 2010 to approximately 914 Mt in 2020, then gradually decrease to about 870 Mt in 2030. Steel stocks per capita will increase from 3.8 t/cap in 2010 to 8.09 t/cap in 2020 (the inferior limit of completing industrialization), then reach 11.46 t/cap in 2030 and stabilize. The peaks of energy consumption and CO2emissions in steel industry are expected to reach 505.37 Mtce and 1444.1 Mt in 2020, respectively. The scrap ratio is expected to reach 0.36 by 2030, when steel scrap resources will be relatively sufficient. This paper can provide corresponding theoretical basis for the government to make decision-making of macro-control.
Yanni Xuan; Qiang Yue. Retrospective and Prospective Analysis on the Trends of China’s Steel Production. Journal of Systems Science and Information 2016, 4, 291 -306.
AMA StyleYanni Xuan, Qiang Yue. Retrospective and Prospective Analysis on the Trends of China’s Steel Production. Journal of Systems Science and Information. 2016; 4 (4):291-306.
Chicago/Turabian StyleYanni Xuan; Qiang Yue. 2016. "Retrospective and Prospective Analysis on the Trends of China’s Steel Production." Journal of Systems Science and Information 4, no. 4: 291-306.
Economic development has contributed to the rapid expansion of the Chinese iron and steel industry during the past two decades, which has resulted in numerous problems including increased energy consumption and excessive environmental pollution. Steel scrap as an important resource in the steelmaking process is attracting greater attention for its energy efficiency, low carbon emissions, and cyclic regeneration. This study examines changes in crude steel production, steel scrap consumption per ton steel, and steel scrap consumption from 1980 to 2012. A modified IPAT model, which can quantitatively and directly evaluate the influence level of environment, economy, population, technology and national policy on future steel production, is adopted to forecast Chinese steel production from 2010 to 2030. In 2020, the value of steel production and steel stocks per capita are expected to reach 901 million tons and 8.01 tons, respectively. Improved steel-scrap usage will decrease the demand on natural resources and lessen the overall environmental impact. According to steel production forecasts, the calculated scrap ratio will continue to increase from 2020 to 2030 in China, the value of which is expected to reach 0.366 by 2030. Otherwise, two major challenges expected to emerge within the next 20 years are discussed in detail. Finally, several policy suggestions are provided regarding the regulation of steel production and the integrated recycling scrap utilization.
Yanni Xuan; Qiang Yue. Forecast of steel demand and the availability of depreciated steel scrap in China. Resources, Conservation and Recycling 2016, 109, 1 -12.
AMA StyleYanni Xuan, Qiang Yue. Forecast of steel demand and the availability of depreciated steel scrap in China. Resources, Conservation and Recycling. 2016; 109 ():1-12.
Chicago/Turabian StyleYanni Xuan; Qiang Yue. 2016. "Forecast of steel demand and the availability of depreciated steel scrap in China." Resources, Conservation and Recycling 109, no. : 1-12.
Primary aluminum production has increased rapidly in China since the year 2000, gaining a 46.0% share of global production in 2014. Primary aluminum production is a process high in energy and materials consumption that also generates much waste. Investigating resource and energy savings and emission reductions in the Chinese aluminum industry is an important and urgent task. Holistic thinking is applied in deriving and analyzing the equations for energy consumption (E), materials consumption (M), and waste emissions (W). Aluminum production per unit GDP (T) is an important parameter influencing E, M, and W; and the historical value of T (including two decomposition factors of T) in China is reviewed first. Based on the equations obtained, the extent of the factors influencing E, M, and W after the year 2000 is analyzed. Then two scenarios (original scheme and recommended scheme) analysis are presented and their respective indices were forecast. From comparisons with USA and Japan, it is found that the recommended scheme can meet aluminum requirements in China if some progress is made. A macroscopic regulation and control network diagram of the aluminum industry is proposed and some parameters are derived from this diagram. From the equations based on these parameters, several ratios among these parameters are identified as the key points that need to be controlled currently in the aluminum industry. Finally, some suggestions are put forward to provide reference points for policy makers.
Qiang Yue; Heming Wang; Chengkang Gao; Tao Du; Liying Liu; Zhongwu Lu. Resources saving and emissions reduction of the aluminum industry in China. Resources, Conservation and Recycling 2015, 104, 68 -75.
AMA StyleQiang Yue, Heming Wang, Chengkang Gao, Tao Du, Liying Liu, Zhongwu Lu. Resources saving and emissions reduction of the aluminum industry in China. Resources, Conservation and Recycling. 2015; 104 ():68-75.
Chicago/Turabian StyleQiang Yue; Heming Wang; Chengkang Gao; Tao Du; Liying Liu; Zhongwu Lu. 2015. "Resources saving and emissions reduction of the aluminum industry in China." Resources, Conservation and Recycling 104, no. : 68-75.
The water environmental carrying capacity (WECC) of a city can demonstrate a balance between the level of exploitation of the local water resources and the population growth and concomitant socio-economic development. To begin with, the definition of WECC was elaborated. Combined with hydraulic, hydrologic and water quality data, a one-dimensional water quality model was subsequently applied to simulate the water pollutants (chemical oxygen demand (COD)) in Tieling City. Then, a multi-objective model was applied to explore WECC. Economy, demography, and contaminant were selected as goals, taking into account the constraints of macroeconomic aggregates, water supply, water quality, and population. The results showed WECC could nearly carry all planned gross domestic product (GDP), population in the planning years 2015, 2020, and 2025 with the maximum COD of 30,681.7 t, but not for the condition of maximum COD of 15,709.0 t. That is, COD overload would occur if GDP and population develop as planned. Some measures must be taken to improve WECC in Tieling City, which are valuable for supporting the adjustment and planning for social-economic development.
Limin Hou; Qiang Yue; Xiangzheng Hu; Tong Wang; Liusuo Wang; Yue Zhu; Xiu Wang; Xilei Cheng. Study on Tieling City's water environmental carrying capacity. Water Supply 2015, 16, 52 -60.
AMA StyleLimin Hou, Qiang Yue, Xiangzheng Hu, Tong Wang, Liusuo Wang, Yue Zhu, Xiu Wang, Xilei Cheng. Study on Tieling City's water environmental carrying capacity. Water Supply. 2015; 16 (1):52-60.
Chicago/Turabian StyleLimin Hou; Qiang Yue; Xiangzheng Hu; Tong Wang; Liusuo Wang; Yue Zhu; Xiu Wang; Xilei Cheng. 2015. "Study on Tieling City's water environmental carrying capacity." Water Supply 16, no. 1: 52-60.