The changes in spatial layout of steel industry in China and associated pollutant emissions: A case of SO2

Zhu, Sulong; Gao, Chengkang; Song, Kigook; Gao, Wengang; Guo, Yuhua; Gao, Chengbo

doi:10.1016/j.jenvman.2021.114034

Cited by 11 publications

(3 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Food and light textile industry Agrifood processing industry (13); food manufacturing (14); wine, beverage, and refined tea manufacturing (15); tobacco products industry (16); textile industry (17); textile clothing and apparel industry (18); leather, fur, feathers, and their products and footwear industry (19); furniture manufacturing (21); paper and paper products industry (22); printing and recording media reproduction industry (23); education, culture industrial, aesthetic, sports, and recreational goods manufacturing (24); other manufacturing industries (41) Raw material industry Wood processing and wood, bamboo, rattan, palm, and grass products industry (20); petroleum, coal, and other fuel processing industry (25); chemical raw materials and chemical products manufacturing (26); chemical fiber manufacturing (28); rubber and plastic products industry (29); nonmetallic mineral products industry (30); ferrous metal smelting and rolling processing industry (31); nonferrous metal smelting and rolling processing industry (32); metal products industry (33) Processing industry…”

Section: Classification Of Industries and Their Codes Before Divisionmentioning

confidence: 99%

“…Industrial land, as an important part of land supply, is the root of industrial economic growth and an important factor affecting high-quality development. The current research on industrial land supply, which mainly focuses on the dimensions of industrial land supply tenure [15], price [16], and scale [17], helps explore spatial patterns [18], influencing factors [19], and efficiency improvement [20] and has laid a solid foundation for the analysis of the effect of industrial land supply. However, the impact on high-quality development is not considered enough.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Spatial Effects of the Land Supply Scale of Different Industrial Sectors on High-Quality Development in the Yangtze River Economic Belt

Zhang

et al. 2022

Land

View full text Add to dashboard Cite

The industrial land supply impacts regional high-quality development, with various impacts across sectors. Considering China’s Yangtze River Economic Belt (YREB), this paper uses entropy weighting, spatial analysis, and the spatial Durbin model for spatiotemporal and regional analysis of the high-quality development level (HDL) and its spatial correlation with the industrial land supply. (1) The annual average HDL in all cities of the YREB increases, the regional HDL is spatially unbalanced and decreases from downstream–midstream–upstream, and HDL overlaps with economic development spatiotemporally. (2) The increase in high-tech industrial land supply promotes local HDL, and the raw material industrial land supply promotes HDL more indirectly than directly. (3) The land supply of the industrial supporting service, processing, food and light textile, and raw material industries has significant indirect effects. Processing has the strongest positive spillover effect, and food and light textile has a significant negative spillover effect. The HDL equilibrium in the YREB increased from 2010 to 2019, and the clustering of the processing, industrial supporting service, and food and light textile industries aggravated the spatial imbalance. (4) The regional structure and layout of the industrial land supply should be optimized to promote the HDL of the YREB.

show abstract

Section: Classification Of Industries and Their Codes Before Divisionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spatial Effects of the Land Supply Scale of Different Industrial Sectors on High-Quality Development in the Yangtze River Economic Belt

Zhang

et al. 2022

Land

View full text Add to dashboard Cite

show abstract

“…The CAMx model was also deployed to gauge Chinese ISIs' contributions to annual SO 2 , NO x , and PM 2.5 concentrations in 2018 and beyond [8]. Zhu et al [18] predicted a reduction in SO 2 concentrations attributable to the ISIs in China by 2025 using the Community Multiscale Air Quality model. CALPUFF has also been widely applied to assess the effects of air pollutant emissions from individual industrial sources on air quality at small scales.…”

Section: Introductionmentioning

confidence: 99%

Improving the Air Quality Management: The Air Pollutant and Carbon Emission and Air Quality Model for Air Pollutant and Carbon Emission Reduction in the Iron and Steel Industries of Tangshan, Hebei Province, China

Chen,

Li,

You

et al. 2023

Atmosphere

View full text Add to dashboard Cite

Currently, Tangshan confronts the dual challenge of elevated carbon emissions and substantial pollution discharge from the iron and steel industries (ISIs). While significant efforts have been made to mitigate air pollutants and carbon emissions within the ISIs, there remains a gap in comprehending the control of carbon emissions, air pollutant emissions, and their contributions to air pollutant concentrations at the enterprise level. In this study, we devised the Air Pollutant and Carbon Emission and Air Quality (ACEA) model to identify enterprises with noteworthy air pollution and carbon emissions, as well as substantial contributions to air pollutant concentrations. We constructed a detailed inventory of air pollutants and CO2 emissions from the iron and steel industry in Tangshan for the year 2019. The findings reveal that in 2019, Tangshan emitted 5.75 × 104 t of SO2, 13.47 × 104 t of NOx, 3.55 × 104 t of PM10, 1.80 × 104 t of PM2.5, 5.79 × 106 t of CO and 219.62 Mt of CO2. The ACEA model effectively pinpointed key links between ISI enterprises emitting air pollutants and carbon dioxide, notably in pre-iron-making processes (coking, sintering, pelletizing) and the Blast furnace. By utilizing the developed air pollutant emission inventory, the CALPUFF model assessed the impact of ISI enterprises on air quality in the Tangshan region. Subsequently, we graded the performance of air pollutant and CO2 emissions following established criteria. The ACEA model successfully identified eight enterprises with significant air pollution and carbon emissions, exerting notable influence on air pollutant concentrations. Furthermore, the ACEA outcomes offer the potential for enhancing regional air quality in Tangshan and provide a scientific instrument for mitigating air pollutants and carbon emissions. The effective application of the ACEA model in Tangshan’s steel industry holds promise for supporting carbon reduction initiatives and elevating environmental standards in other industrial cities across China.

show abstract

Towards the road of eco-efficiency improvement: evidence from China’s economic and technological development zone

Yan

Jian-xiong

Liu

2023

Environ Sci Pollut Res

View full text Add to dashboard Cite

The changes in spatial layout of steel industry in China and associated pollutant emissions: A case of SO2

Cited by 11 publications

References 17 publications

Spatial Effects of the Land Supply Scale of Different Industrial Sectors on High-Quality Development in the Yangtze River Economic Belt

Spatial Effects of the Land Supply Scale of Different Industrial Sectors on High-Quality Development in the Yangtze River Economic Belt

Improving the Air Quality Management: The Air Pollutant and Carbon Emission and Air Quality Model for Air Pollutant and Carbon Emission Reduction in the Iron and Steel Industries of Tangshan, Hebei Province, China

Towards the road of eco-efficiency improvement: evidence from China’s economic and technological development zone

Contact Info

Product

Resources

About