The contribution of the Beijing, Tianjin and Hebei region's iron and steel industry to local air pollution in winter

Yang, Haozhe; Wei, Tao; Liu, Ying; Qiu, Minghao; Liu, Junfeng; Jiang, Kejun; Yi, Kan; Xiao, Yao; Tao, Shu

doi:10.1016/j.envpol.2018.11.088

Cited by 55 publications

(18 citation statements)

References 47 publications

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“…We combined Table 1 to calculate the thermal effusivity and the thermal diffusivity results (Table 3) according to eq. (1) and (2). Table 3 shows that the increase in the specific heat c and density ρ causes the thermal effusivity to increase, which in turn increases the ability of the solid material to absorb heat.…”

Section: Case Study On Heat Storage Of Solid Materialsmentioning

confidence: 99%

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Analysis and evaluation of the influence of heat storage material on coke oven flue gas exothermic process

et al. 2021

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Sufficient heat storage and proper flue-gas outlet temperature were prerequisites for selective non-catalytic reduction (SNCR) denitrification in coke oven regenerators. This work performed an energy balance analysis on the established regenerator model to obtain a new thermal storage evaluation index-Total thermal storage temperature (TTST). Furthermore, ten cases of thermal storage parameters were set to analyze the effects of thermal effusivity and thermal diffusivity on heat storage and transfer. The transient simulation results shown that the channel shape of the lattice brick limited the uniformity of fluid-solid heat transfer and temperature distribution during the 30min commutation period, and the temperature window (1100~1300K) suitable for SNCR denitration slowly moved down. The increase of thermal effusivity led to the rise of heat storage and reduction of flue-gas outlet temperature. However, the transform in thermal diffusivity did not contribute substantially to the heat storage performance. Besides, the temperature-time-height equation obtained by fitting was used for predicting the suitable location of SNCR denitration temperature. The TTST was positively correlated with the flue-gas outlet temperature and negatively correlated with the heat storage capacity. The TTST evaluated the effects of material properties on heat storage and flue gas outlet temperature.

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Section: Case Study On Heat Storage Of Solid Materialsmentioning

confidence: 99%

“…In recent years, the Environmental protection department in China has issued a series of coking enterprises NOx emission control policies. Especially for the coking plant in the Beijing-Tianjin-Hebei region, it is required that the NOx emission of the newly built coking plants should not exceed 150 mg/m 3 [2,3].…”

Section: Introductionmentioning

confidence: 99%

Analysis and evaluation of the influence of heat storage material on coke oven flue gas exothermic process

et al. 2021

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“…During the FLR, most factories were closed to control the epidemic. For instance, the steel industry, which emits PM 2.5 , SO 2 , and NO x [26], may have reduced its emissions during the FLR period. Although different industries or enterprises emit different amounts and forms of air pollutants, the FLR resulted in a total reduction in industrial discharge of air pollutants in the case of Shanghai Municipality.…”

Section: Management Implicationsmentioning

confidence: 99%

Changes in Air Quality during the First-Level Response to the Covid-19 Pandemic in Shanghai Municipality, China

et al. 2020

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Ongoing rapid urban population growth world-wide has led to serious environmental problems that affect ecosystems and also lower the security and happiness of urban residents about their living environment. The most frequently reported negative impact is a deterioration in urban air quality. In this study, we performed a comprehensive assessment of the effects of the city lockdown policy in response to Covid-19 on air quality in Shanghai Municipality, China, and sought to identify a balance point between human activities and improving air quality. The first-level response (FLR) by Shanghai to control the spread of Covid-19 was to launch a lockdown, which remained in place from 24 January to 23 March, 2020. We compared airborne pollutant concentrations in different regions (downtown, suburbs) of Shanghai city in three periods (Pre-FLR, During-FLR, and Post-FLR) and in the corresponding periods in the previous year. The results showed that air quality improved significantly During-FLR compared with Pre-FLR, with the concentrations of PM2.5, PM10, SO2, NO2, and CO all decreasing significantly. The concentrations of all pollutants except O3 also decreased significantly compared with the same period in the previous year. There were also some differences in pollutant concentrations between the downtown region and the suburbs of Shanghai. However, we found that the concentrations of pollutants rebounded gradually when the restrictions on human activities ended after two months of lockdown. This study provides empirical evidence of the important effect of limiting human activities on air quality. For sustainable and clean future urban management in Shanghai and beyond, central government policy regulations requiring a low-carbon lifestyle and cleaner production in industries should be established.

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“…The results showed that the proposed model is accurate and stable, besides the model can be used in different locations. Researchers have investigated the capability of predicting the air quality using different prediction models including Artificial intelligent ; Bai et al, (2016), Biancofiore et al, 2017;Dotse et al, (2018)), Autoregression models ( Wang et al, 2017), and other hybrid models as discussed in (Carbajal-Hernández et al, 2012;Franceschi et al, 2018;Yang et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Time Series Modeling of Air Pollution and Its Association with Season and Climate Variables in Istanbul, Turkey

Al-Najjar

Al-Rousan

Elhaty

2020

Preprint

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Air pollution depends on seasons, wind speed, temperature, wind direction and air pressure. The effect of different seasons on air pollution is not fully addressed in the reported works. The current study investigated the impact of season on air pollutants including SO2, PM10, NO, NOX, and O3 using NARX method. In the applied methodology, a feature selection was used with each pollutant to find the most important season(s). Afterward, six models are designed based on the feature selection to show the impact of seasons in finding the concentration of pollutants. A case study is conducted on Esenyurt which is one of the most populated and industrialized places in Istanbul to validate the proposed framework. The performance of using all of the designed models with different pollutants showed that using season effect led to improving the performance of predictor and generating high R2 and low error functions.

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The contribution of the Beijing, Tianjin and Hebei region's iron and steel industry to local air pollution in winter

Cited by 55 publications

References 47 publications

Analysis and evaluation of the influence of heat storage material on coke oven flue gas exothermic process

Analysis and evaluation of the influence of heat storage material on coke oven flue gas exothermic process

Changes in Air Quality during the First-Level Response to the Covid-19 Pandemic in Shanghai Municipality, China

Time Series Modeling of Air Pollution and Its Association with Season and Climate Variables in Istanbul, Turkey

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