Investigation of water-energy-emission nexus of air pollution control of the coal-fired power industry: A case study of Beijing-Tianjin-Hebei region, China

Wang, Chunyan; Li, Yaqing; Liu, Yi

doi:10.1016/j.enpol.2018.01.035

Cited by 51 publications

(12 citation statements)

References 53 publications

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“…. The greatest amounts of the suspended particulates are produced by the industries such as energy, chemical, mining, metal producing and construction, as confirmed by the research on the coal energy industry by Wang et al [2018]. In the case of Poznań, the air pollution with PM10 and PM2.5 is certainly heavily influenced by the energy production and the heating sector, as many installations require considerable investments to improve their condition [Mayer 1999].…”

Section: Resultsmentioning

confidence: 99%

Poznań Air Pollution Analysis for 2015-2017

Smurzyńska¹,

Czekała²,

Hektus³

et al. 2018

J. Ecol. Eng.

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Air pollution is the result of natural processes and intense urban development. The undesired emission of volatile substances causes environmental threats such as acid rains, aggravated greenhouse effect or the ozone depletion. Moreover, the pollution released into the air is harmful to the human respiratory system, eyes and skin. This paper presents the body of analyses conducted in Poznań between 2015-2017 on the changes in the local emission concentration of PM10 and PM2.5. The data concerning the emission of suspended particulates were provided by the meteorological station on Polanka St. in Poznań. The research included a correlation analysis. The results point to a steady decrease in the amount of produced particulates. It was also noted that the emissions of PM10 and PM2.5 change seasonally, with the highest levels in the autumn and winter. Furthermore, the amount of emitted suspended particulates is correlated with the temperature; hence, it is supposed that the main source of air pollution in Poznań involves low-efficiency heaters and boilers.

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Section: Resultsmentioning

confidence: 99%

Poznań Air Pollution Analysis for 2015-2017

Smurzyńska¹,

Czekała²,

Hektus³

et al. 2018

J. Ecol. Eng.

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“…Although the government has adopted various measures to promote the de-capacity of steel, cement, and petrochemical plants in BTH during recent years, these industries continue to cause the highest SO 2 and NO x emissions and are the main sources of air pollution in the BTH [55]. Desulfurization and denitrification facilities have been installed in the coal-fired power plants in China, with 80% of plants completing ultra-low emission retrofits by 2019 [56][57][58]. The PM 2.5 emissions of ferrous metal smelting and rolling processing industries were 269,447 t, accounting for 31.6% of the overall industrial PM 2.5 emissions, and causing the highest PM 2.5 pollution (Table 5).…”

Section: Plos Onementioning

confidence: 99%

Industrial agglomeration and air pollution: A new perspective from enterprises in Atmospheric Pollution Transmission Channel Cities (APTCC) of Beijing-Tianjin-Hebei and its surrounding areas, China

et al. 2021

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Air quality in China has gradually been improving in recent years; however, the Beijing-Tianjin-Hebei (BTH) region continues to be the most polluted area in China, with the worst air quality index. BTH and its surrounding areas experience high agglomeration of heavy-polluting manufacturers that generate electric power, process petroleum and coal, and carry out smelting and pressing of ferrous metals, raw chemical materials, chemical products, and non-metallic mineral products. This study presents evidence of the air pollution impacts of industrial agglomeration using the Ellison–Glaeser index, Herfindahl–Hirschman index, and spatial autocorrelation analysis. This was based on data from 73,353 enterprises in “2+26” atmospheric pollution transmission channel cities in BTH and its surrounding areas (herein referred to as BTH “2+26” cities). The results showed that Beijing, Yangquan, Puyang, Kaifeng, Taiyuan, and Jinan had the highest Ellison–Glaeser index among the BTH “2+26” cities; this represents the highest enterprise agglomeration. Beijing, Langfang, Tianjin, Baoding, and Tangshan also showed a low Herfindahl–Hirschman index of pollutant emissions, which have a relatively high degree of industrial agglomeration in BTH “2+26” cities. There was an inverted U-shaped relationship between enterprise agglomeration and air quality in the BTH “2+26” cities. This means that air quality improved with increased industrial agglomeration up to a certain level; beyond this point, the air quality begins to deteriorate with a decrease in industrial agglomeration.

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“…The catering and lighting industries, for example, consume large amounts of agricultural and electrical products, respectively, resulting in large amounts of indirect water consumption during production. Consequently, these industries are labeled the "invisible water-consuming industries" [45,46]. In comparison with the tertiary industry class, the direct water use coefficient of the secondary industry category is relatively large.…”

Section: Water Consumption Coefficients Of Various Industriesmentioning

confidence: 99%

The Impact of Virtual Water on Sustainable Development in Gansu Province

et al. 2020

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The concept of virtual water, as a new approach for addressing water shortage and safety issues, can be applied to support sustainable development in water-scarce regions. Using the input-output method, the direct and the complete water use coefficients of industries categorized as primary, secondary, or tertiary, and the spatial flow patterns of the inter-provincial trade in the Gansu province region of China, were explored. The results show that in 2007, 2010, and 2012 the direct and complete water use coefficients of the primary industries were the greatest among the three industry categories, with direct water use coefficients of 1545.58, 882.28, and 762.16, respectively, and complete water use coefficients of 1692.22, 1005.38, and 873.44, respectively; whereas, the direct and complete water use coefficient values of the tertiary industry category were the lowest, with direct water use coefficients of 16.65, 7.74, and 66.89 for 2007, 2010, and 2012, respectively, and complete water use coefficients of 65.46, 66.89, and 72.81 for 2007, 2010, and 2012, respectively. In addition, study results suggest that the volume of virtual water supplied to Gasnu province’s local industries has decreased annually, while virtual water exports from the province have increased annually, with the primary industry accounting for 95% of virtual water output. Overall, the virtual water of Gansu province in 2010 showed a net output trend, with a total output of 0.506 billion m3, while in 2007 and 2012 it showed a net input trend with a total input of 0.104 and 1.235 billion m3, respectively. Beijing, Shanghai, Guangdong, Ningxia and other water-scarce areas were the main input, or import source for Gansu’s virtual water; during the years studied, these provinces imported more than 50 million m3 individually. Based on these results, it is clear that under the current structure, virtual water is mainly exported to the well-developed coastal areas and their adjacent provinces or other water-abundant regions. Therefore, Gansu province should (1) adjust the industrial structure and develop water-saving and high-tech industries; (2) adjust the current trade pattern to reduce virtual water output while increasing its input to achieve balanced economic development and water resource security.

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Investigation of water-energy-emission nexus of air pollution control of the coal-fired power industry: A case study of Beijing-Tianjin-Hebei region, China

Cited by 51 publications

References 53 publications

Poznań Air Pollution Analysis for 2015-2017

Poznań Air Pollution Analysis for 2015-2017

Industrial agglomeration and air pollution: A new perspective from enterprises in Atmospheric Pollution Transmission Channel Cities (APTCC) of Beijing-Tianjin-Hebei and its surrounding areas, China

The Impact of Virtual Water on Sustainable Development in Gansu Province

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