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Relevant bibliographies by topics / EMISSION QUALITY INDEX

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Journal articles

Academic literature on the topic 'EMISSION QUALITY INDEX'

Author: Grafiati

Published: 11 September 2023

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Journal articles on the topic "EMISSION QUALITY INDEX"

1

Che, Junwen, Shenghe Zhou, Rui Shan, Hui Jia, and Zheng Liu. "Optimal Pricing Model of Environmental Quality Index Futures from the Perspective of Green Finance." International Transactions on Electrical Energy Systems 2022 (August 28, 2022): 1–8. http://dx.doi.org/10.1155/2022/6951040.

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In order to establish the optimal price of low-carbon products and set the optimal target carbon emissions in the production cycle so as to maximize profits, this paper proposes the optimal pricing model of environmental quality index futures from the perspective of green finance. This paper mainly studies the optimal pricing and carbon emission strategy of low-carbon products of a single enterprise under the carbon trading system based on the quota system. When enterprises join the carbon trading system, how to optimally determine their target carbon emissions in the production cycle and the

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2

Izah, Sylvester Chibueze. "Outdoor Air Quality Index of Biomass Combustion in the Niger Delta, Nigeria: A Health Impact Perspective." Journal of Advanced Research in Medical Science & Technology 08, no. 01 (2021): 19–28. http://dx.doi.org/10.24321/2394.6539.202108.

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Background: Pollutant gases such as Carbon Monoxide (CO), Nitrogen Dioxide (NO2) and Sulphur Dioxide (SO2) are released during certain anthropogenic activities including cooking with biomass. This study evaluated the air quality index of CO, NO2 and SO2 emissions during outdoor biomass combustion in the Niger Delta region of Nigeria. Materials and Methods: Triplicate sampling was carried out at 3 distances in 4 different states for one Calendar year across the two distinct seasons viz: dry (November, January and March) and wet (May, July and September) in the Niger Delta. A portable multiprobe

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3

Sriwardani, Nyenyep, Yuya Okamoto, Takehiko Seo, and Masato Mikami. "The Influence of Hydrogen Addition to Diesel Fuel Spray Combustion for Different Atomization Conditions." Applied Mechanics and Materials 493 (January 2014): 33–38. http://dx.doi.org/10.4028/www.scientific.net/amm.493.33.

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The negative effects of hydrocarbon fuels are widely highlighted by increasing global warming and declining quality of human health. Therefore, it is important to reduce the level of emissions from liquid hydrocarbon combustion. Hydrogen addition to the combustion chamber is one of the proven methods to improve emssions level. In this research, an experiment was conducted on diesel fuel spray combustion with hydrogen addition. The effect of additional hydrogen was observed on CO, CO2, NO and THC exhaust gas emissions. A small hydrogen fraction (0~3 vol %) was added to the rich premixed spray c

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4

Kristyawan, I. P. A., Wiharja, A. Shoiful, P. A. Hendrayanto, A. D. Santoso, and N. Suwedi. "The air quality index based on measurements of mobile air quality monitoring station at the waste-to-energy incineration plant PLTSa Bantargebang." IOP Conference Series: Earth and Environmental Science 926, no. 1 (2021): 012015. http://dx.doi.org/10.1088/1755-1315/926/1/012015.

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Abstract Ambient air quality monitoring at waste-to-energy incineration pilot plant PLTSa Bantargebang is performed using a mobile monitoring station. The mobile monitoring station is equipped with meteorological and emission (CO, O3, NO2, PM10, PM2.5, and SO2) measurement. The monitoring was performed for 24 hour with 1 minute intervals. The emission measurement data was analyzed using Indonesian Air pollution standard index regulation (PermenLHK P.14/2020). The CO, O3, NO2, PM10, and SO2 index were in good category (1-50), while the PM2.5 index was classified as moderate (65.992). The result

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5

Assanov, Daulet, Valeryi Zapasnyi, and Aiymgul Kerimray. "Air Quality and Industrial Emissions in the Cities of Kazakhstan." Atmosphere 12, no. 3 (2021): 314. http://dx.doi.org/10.3390/atmos12030314.

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Industrial emissions are of major concern, especially in developing countries. Hence, there is a need for studies that investigate the trends in industrial emissions in these countries. The purpose of this study is to discuss trends in industrial emissions in Kazakhstan and the air pollution level in its industrial cities. Data on emission limit values from the permitting documents of twenty-one power plants and nine metallurgical enterprises of Kazakhstan were analyzed. Eight cities (out of fourteen) had a “high” level of atmospheric air pollution according to the Air Pollution Index in 2019.

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6

Yang, Y., J. Wang, S. Gong, et al. "PLAM – a meteorological pollution index for air quality and its applications in fog-haze forecasts in north China." Atmospheric Chemistry and Physics Discussions 15, no. 6 (2015): 9077–106. http://dx.doi.org/10.5194/acpd-15-9077-2015.

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Abstract. Using surface meteorological observation and high resolution emission data, this paper discusses the application of PLAM/h Index (Parameter Linking Air-quality to Meteorological conditions/haze) in the prediction of large-scale low visibility and fog-haze events. Based on the two-dimensional probability density function diagnosis model for emissions, the study extends the diagnosis and prediction of the meteorological pollution index PLAM to the regional visibility fog-haze intensity. The results show that combining the influence of regular meteorological conditions and emission fact

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7

Yang, Y. Q., J. Z. Wang, S. L. Gong, et al. "PLAM – a meteorological pollution index for air quality and its applications in fog-haze forecasts in North China." Atmospheric Chemistry and Physics 16, no. 3 (2016): 1353–64. http://dx.doi.org/10.5194/acp-16-1353-2016.

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Abstract. Using surface meteorological observation and high-resolution emission data, this paper discusses the application of the PLAM/h index (Parameter Linking Air-quality to Meteorological conditions/haze) in the prediction of large-scale low visibility and fog-haze events. Based on the two-dimensional probability density function diagnosis model for emissions, the study extends the diagnosis and prediction of the meteorological pollution index PLAM to the regional visibility fog-haze intensity. The results show that combining the influence of regular meteorological conditions and emission

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8

Zhang, Yuan, Zhen Yu, and Juan Zhang. "Spatiotemporal evolution characteristics and dynamic efficiency decomposition of carbon emission efficiency in the Yellow River Basin." PLOS ONE 17, no. 3 (2022): e0264274. http://dx.doi.org/10.1371/journal.pone.0264274.

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The Yellow River Basin (YRB) is China’s substantial energy consumption base. The issue of carbon emission efficiency directly affects the ecological protection and high-quality development of the YRB. It is the key to achieving carbon peak in 2030 and carbon neutralization in 2060 (“30.60”) double carbon emission reduction targets. Therefore, taking YRB as the research object, this paper first calculates the carbon emission and the decoupling state in the YRB. Secondly, the super-efficiency slacks-based measurement (SE-SBM) model is combined with the Malmquist index to analyze the temporal and

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9

Wang, Jiayu, Han Ding, Xiao Hu, et al. "Research on application of “double-carbon power index” system based on delphi method." MATEC Web of Conferences 356 (2022): 01006. http://dx.doi.org/10.1051/matecconf/202235601006.

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Double carbon-power index is an important index to measure regional carbon dioxide emission, regional economic development and carbon emission reduction implementation.It can determine whether carbon dioxide has reached a peak in a region or industry, so that the government can take targeted measures to guide enterprises to reduce carbon dioxide.Through build wuxi double carbon power index system, based on the Delphi method to carry out the comprehensive evaluation, explore their short-term carbon emissions to peak, the path of the development of long-term carbon neutral, assist the government

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10

Furimsky, E. "Carbon Dioxide Emission Index as a Mean for Assessing Fuel Quality." Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 30, no. 2 (2007): 119–31. http://dx.doi.org/10.1080/15567030600820583.

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