A comprehensive emission inventory of multiple air pollutants from iron and steel industry in China: Temporal trends and spatial variation characteristics

Wang, Kun; Tian, Hezhong; Hua, Shenbing; Zhu, Chuanyong; Gao, Jiajia; Xue, Yifeng; Hao, Jiming; Wang, Yong; Zhou, Jin

doi:10.1016/j.scitotenv.2016.03.125

Cited by 174 publications

(83 citation statements)

References 27 publications

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“…China has made great efforts in PM 2.5 emissions reduction without quantitative targets during the period 2005-2012. China's statistics showed that total suspended particles (TSP) emissions reduction reached more than 30% during the 11th Five-Year Plan period [13], so China made a great achievement in PM 2.5 emissions reduction during this period. Through the end-of-pipe reduction, dust can be reduced by 96% using electrostatic precipitation, and nowadays the use of more advanced equipment can reduce dust up to 99%, so the PM 2.5 emissions reduction potential decreased [66].…”

Section: Discussionmentioning

confidence: 99%

Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method

Zhang

et al. 2017

Sustainability

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Abstract:We decompose factors affecting China's energy-related air pollutant (NO x , PM 2.5 , and SO 2 ) emission changes into different effects using structural decomposition analysis (SDA). We find that, from 2005 to 2012, investment increased NO x , PM 2.5 , and SO 2 emissions by 14.04, 7.82 and 15.59 Mt respectively, and consumption increased these emissions by 11.09, 7.98, and 12.09 Mt respectively. Export and import slightly increased the emissions on the whole, but the rate of the increase has slowed down, possibly reflecting the shift in China's foreign trade structure. Energy intensity largely reduced NO x , PM 2.5 , and SO 2 emissions by 12.49, 14.33 and 23.06 Mt respectively, followed by emission efficiency that reduces these emissions by 4.57, 9.08, and 17.25 Mt respectively. Input-output efficiency slightly reduces the emissions. At sectoral and sub-sectoral levels, consumption is a great driving factor in agriculture and commerce, whereas investment is a great driving factor in transport, construction, and some industrial subsectors such as iron and steel, nonferrous metals, building materials, coking, and power and heating supply. Energy intensity increases emissions in transport, chemical products and manufacturing, but decreases emissions in all other sectors and subsectors. Some policies arising from our study results are discussed.

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Section: Discussionmentioning

confidence: 99%

Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method

Zhang

et al. 2017

Sustainability

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“…Previous work primarily evaluated the contribution of the large capacities of MN&C to air pollution via production-based accounting, which calculates emissions within the production process (Wang et al 2016. This method is the official method with which China compiles inventories and tracks progress toward emission-reduction goals, such as those established in China's 13th Five Year Plan (State Council 2016).…”

Section: Introductionmentioning

confidence: 99%

The roles of the metallurgy, nonmetal products and chemical industry sectors in air pollutant emissions in China

Yang

Liu

Wang

et al. 2018

Environ. Res. Lett.

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The metallurgy, nonmetal products and chemical industry sectors (MN&C) are the three major industrial sources of air pollutants in China. Previous studies have focused on calculating emissions from MN&C via production-based accounting and identifying the drivers of MN&C using consumption-based accounting. However, these previous studies did not discuss how the total outputs from MN&C upstream and downstream industries influence air pollutant emissions. In this study, we use a pure backward linkage (PBL) method to quantify emissions from industries upstream of MN&C and to evaluate how the downstream industries drive the outputs of MN&C in China. We find that the emissions from industries upstream of MN&C are generally higher than the production-based emissions of MN&C. In particular, the chemical industry largely increased its contribution to air pollution according to the PBL method. Furthermore, much of upstream emissions of MN&C are embodied in the interregional trade, transferring substantial emissions from the eastern region to inland provinces. Regarding the drivers of MN&C, our results reveal that consumption-based accounting underestimates the importance of many sectors. The outputs of these previously underestimated sectors could maximally cover 80% of metallurgy, 85% of nonmetal products and 25% of chemical industry outputs. We suggest that improving the structure of MN&C would considerably help decrease the environmental burden on the entire supply chain. Additionally, improving the productivities of MN&C downstream industries could also address the air pollution caused by MN&C.

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“…It is necessary to accelerate the realization of the integration process in order to promote a coordinated regional development. Meanwhile, cooperation between different regions should be strengthened in order to stimulate coordination [16]. Therefore, the government should design mechanisms for regional coordination and take measures to enhance sustainability in the YRD region.…”

Section: Enhance the Development Of A Coordinated And Integrated Economymentioning

confidence: 99%

A Four-Dimensional Evaluation of the Urban Comprehensive Carrying Capacity of the Yangtze River Delta, China

Shao

Zhao

2019

Sustainability

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The evaluation of urban comprehensive carrying capacity (UCC) is of great importance in maintaining urban socio-economic sustainable development. However, UCC is still in its nascent period with limited applications and a lack of credible assessment methods. To enrich this field, this study constructed an objective scientific index to evaluate the UCC of the Yangtze River Delta (YRD) region from a four-dimensional perspective, examining economy, society, environmental, and transportation subsystems. The improved entropy method based on 18 weighted indicators was used to measure the UCC of the 26 cities of the YRD for the period 1990-2018. Results indicate that nine cities were overloaded in 2018, meaning comprehensive carrying capacity demand exceeds supply, and the other seventeen were in loadable condition, meaning such demand did not exceed supply; the social and transportation subsystems are the most important because their index weights and UCC levels are higher than the other two subsystems; the overall UCC for all cities in the YRD is at a medium level, and there are large disparities between the various cities. The empirical results imply that the government should take effective measures to improve UCC in these cities, combining cities' specific advantages to enhance the efficiency of resource allocation and utilization and improve carrying capacities, and changing the mode of economic development. Based on UCC levels, it is also important to improve environmental conditions and coordination and integration in the development of urbanization. Policy implications on improving UCC have been highlighted in the final section.

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A comprehensive emission inventory of multiple air pollutants from iron and steel industry in China: Temporal trends and spatial variation characteristics

Cited by 174 publications

References 27 publications

Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method

Decomposition Analysis of the Factors that Influence Energy Related Air Pollutant Emission Changes in China Using the SDA Method

The roles of the metallurgy, nonmetal products and chemical industry sectors in air pollutant emissions in China

A Four-Dimensional Evaluation of the Urban Comprehensive Carrying Capacity of the Yangtze River Delta, China

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