Atmospheric emission inventory of hazardous air pollutants from China's cement plants: Temporal trends, spatial variation characteristics and scenario projections

Hua, Shenbing; Tian, Hezhong; Wang, Kun; Zhu, Chuanyong; Gao, Jiajia; Ma, Yuhui; Xue, Yifeng; Wang, Yong; Duan, Shiheng; Zhou, Jin

doi:10.1016/j.atmosenv.2015.12.056

Cited by 128 publications

(82 citation statements)

References 17 publications

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“…Furthermore, an increase in production output or change in fuel type and usage as well as dust control technology affects the volume and concentration of contaminant released. Several studies and reports have recognized cement production as the biggest source of PM emission accounting for 20-30% which is 40% of the total industrial emission [2,3].…”

Section: Introduction Global Pollution and Cement Contributionmentioning

confidence: 99%

Exposure effect to cement dust pollution: a mini review

Adeyanju

Okeke

2019

SN Appl. Sci.

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The aim of this paper is to illuminate the impacts of cement production emissions on the environment. Various research work has shown that countries in sub-Saharan Africa, suffer the most from environmental pollution especially air pollution. One of such contributing factors is the behavioural pattern of workers and traders living close to production plants. Significantly also, data are not available in this region. The need for cement as well as the presence of local raw materials, coupled with the need for local content has resulted in an increase in the number of cement plants. Areas within and around the cement plant are exposed to various air pollutants. These pollutants affect the life and wellbeing of workers, children and people in close communities as well as the flora and fauna. Diseases such as chronic obstructive pulmonary, silicosis, preterm delivery, psychasthenia, endocrine disruption, cancer and infertility are associated with these pollutants. This paper describes the impacts of these pollutants on human's health and plant's growth as well as where studies should focus on in the future. Various high impact papers were selected and cogent findings as it affects different classes of people were discussed in this paper. It is recommended that more data collection, pollutant characterization, risk assessment and dispersion analysis should be carried out in developing countries. More research should be undertaken to determine the impact of alternative fuel and the effectiveness of dust control technologies used in various cement plants.

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Section: Introduction Global Pollution and Cement Contributionmentioning

confidence: 99%

Exposure effect to cement dust pollution: a mini review

Adeyanju

Okeke

2019

SN Appl. Sci.

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“…Selain gas-gas utama dalam udara tersebut, terdapat kandungan gas lain seperti uap air, ozon, metan, asam nitrat, karbon dioksida, dan lain-lain. Beberapa gas dan partikel atau debu pada udara dihasilkan dari berbagai aktivitas manusia seperti penggunaan kendaraan bermotor (Lang et al, 2014;Reşitoğlu et al, 2015;Wang et al, 2015), aktivitas rumah tangga (Chafe et al, 2014;Liu et al, 2016;Pope et al, * Corresponding author: rinihidayatigfm@gmail.com 2015; Singh et al, 2014) dan kegiatan industri (Hua et al, 2016;Kumar et al, 2016;Zhang et al, 2015). Campuran gas dan partikel yang terdapat pada udara memiliki tingkat bahaya yang berbeda-beda.…”

Section: Pendahuluanunclassified

Incidence Analysis of an Acute Respiratory Infection due to Climate Conditions and PM10 Concentration in West Jakarta Region

Hidayati¹,

Anggiani

Maufikoh³

2017

J.Agromet

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Humans have contributed to an increased of particulates concentration due to their daily life activities including from transportation, industry, infrastructure and household. One common particulate found is PM10, which affects human health such as respiratory tract disorders. Weather condition controls PM10 concentration. This research aims to analyze the weather impact on PM10 concentration associated with the occurrence of acute respiratory infections. We analysed relationship between rainfall and PM10 on day to seasonal timescale resolution. Our results show a negative correlation between rainfall and PM10. It appears that season strongly influences the correlation with high and low PM10 concentration occurred during July-August (dry season) and December-February (wet season), respectively. At daily basis, our findings revealed that minimum PM10 concentration occurred at 06.00 am, and it will increase following human activities while people are going to workplace and school. Further, we found that a combining of low humidity and high PM 10 concentration will lead to high acute respiratory infections.

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“…Data from several highly polluting industries in China that are the target industries for national pollution control (i.e., the thermal power, ceramics manufacturing, steel smelting, and coking industries) were collected and their air pollutant emissions compared (Table 3) (Chen et al, 2014;Wu et al, 2015a, b;Wang et al, 2016;Hua et al, 2016). Of these industries, the coking industry emitted the highest amount of VOCs.…”

Section: Emission Comparison Of Heavy Polluting Industries and Uncertmentioning

confidence: 99%

“…Because coke production involves multiple pollutionproducing steps and its air pollutant emissions are severe, highly economical technologies must be employed for all potential pollution-producing steps. Chen et al, 2014;Wu et al, 2015bHua et al, 2016Wu et al, 2015a This study A number of pollution control technologies and methods can be used in the coking industry (MEP, 2010;CCIA, 2016d). The specific control technologies for different coking procedures and their corresponding air pollution control effects are illustrated in SI Table S7.…”

Section: Emission Reduction Potential Analysis and Relevant Pollutionmentioning

confidence: 99%

Analysis of Reduction Potential of Primary Air Pollutant Emissions from Coking Industry in China

Wang

Cheng

Tian

et al. 2018

Aerosol Air Qual. Res.

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Air pollutant emissions from the coking industry in China, the world's largest coke producer, are a major societal concern. This study employed a bottom-up emission-factor methodology to estimate the country's coking-industry airpollutant emissions. Total suspended particulate matter (TSP), particulate matter with an aerodynamic diameter less than or equal to 2.5 µm (PM 2.5 ), sulfur dioxide (SO 2 ), nitrogen oxides (NO x ), volatile organic compounds (VOCs), polycyclic aromatic hydrocarbons (PAHs), carbon monoxide (CO), and methane (CH 4 ) were considered. The emissions in 2015 were estimated to be 368. 36, 23.28, 402.54, 174.43, 1325.42, 28.24, 2036.43, and 71.68 kt for TSP, PM 2.5 , SO 2 , NO x , VOCs, PAHs, CO, and CH 4 , respectively, with an annual average growth rate of 1.1% during the 12th five-year-plan (2011)(2012)(2013)(2014)(2015). A comparative analysis was performed on emission contributions from air pollutants produced by various types of coke ovens and using various coking procedures. The objectives of the 13th five-year-plan (2016-2020) were used to predict China's production of coke and methods of control in 2020 and to analyze the potential reduction in typical air pollutants. The results show that emissions of TSP, SO 2 , and NO x will be reduced by 82.9%, 94.4%, and 6.9%, respectively. Moreover, this study proposes a series of feasible control measures for air-pollutant emissions from the coking industry in China.

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Atmospheric emission inventory of hazardous air pollutants from China's cement plants: Temporal trends, spatial variation characteristics and scenario projections

Cited by 128 publications

References 17 publications

Exposure effect to cement dust pollution: a mini review

Exposure effect to cement dust pollution: a mini review

Incidence Analysis of an Acute Respiratory Infection due to Climate Conditions and PM10 Concentration in West Jakarta Region

Analysis of Reduction Potential of Primary Air Pollutant Emissions from Coking Industry in China

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