The Study of Carbon Emissions Monitoring System for Inland River Ships

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In order to study the carbon emission characteristics of inland ships, a carbon emission monitoring system is designed. By real-time monitoring of oil consumption and the method of tree of decision in ship discharge, it achieves the monitor of carbon emission. The recursive least square method and Wilcoxon symbols average rank test are used to improve the precision of the carbon emissions monitoring. Finally, through carbon testing experiment, it demonstrates the feasibility of the carbon emission monitoring system, and finds that the main factor affecting the accuracy of the system is carbon oxidation rate.

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64-70

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Ren Qiang Principle of sensor selection. Railway technical supervision. 2004, (9): pp.33-34.

Google Scholar

[2] Wang C, Chen J, AOU J. Dynamics of energy-related CO2 emissions in China: 1957 -2000. Energy. 2005, 30(l): 73-83.

Google Scholar

[3] Greening L A. Effects of human behavior on aggregate carbon intensity of Personal transportation: comparison of10 OECD countries for the period 1070-1993. Energy Economies. 200426(1): p. l-30.

DOI: 10.1016/s0140-9883(03)00077-x

Google Scholar

[4] Fan Y,Liu LC, Wuqetal. Changes in carbon intensity in China: empirical findings from 1980 - 2003. Ecological Economics. 2007, 62(34):pp.683-691.

DOI: 10.1016/j.ecolecon.2006.08.016

Google Scholar

[5] EhrliCh P. Holdren J. P. Impact of Population Growth. Science. 1974, (171): pp.1212-1217.

Google Scholar

[6] Bruvoll, Annegrete, Taxing virgin materials. An approach to waste problems. Resources Conservation and Recycling. 1998, 22(1): pp.15-29.

DOI: 10.1016/s0921-3449(97)00040-2

Google Scholar

[7] Hetty Consult GmbH, Max Herry and Norbert Sedlacek. Decoupling Economic Growth and Transport Demand Case Study Austria. K/OL. OECD. (2003).

Google Scholar

[8] Simon Eggleston, Leandro Buendia, Kyoko Miwa, Todd Ngara, Kiyoto Tanabe. IPCC (2006).

Google Scholar

[9] Ehrlich P R, Holden J P. 1971. Impact of Population growth. Science. (171): pp.1212-1217.

Google Scholar