The Comprehensive Treatment Pattern of Municipal Solid Waste (MSW) Based on Category Classification of Beijing

Article Preview

Abstract:

Detailed investigations on the physical composition and properties of MSW in the experimental districts revealed that high moisture and high percentage of kitchen waste are the main limiting factors in the recovery of recyclables. A new category classified system, according to which MSW was classified as kitchen waste, other waste and ash waste, was proposed of South Beijing. In addition, a corresponding MSW treatment pattern that involves all compost for kitchen waste, incineration for other waste and landfill, for ash waste and residues of composting and incineration were constituted to promote efficiency of waste disposal. The recycling rate, benefit cost ratios and the production rate of compost were improved about 65.0%, 31.6% and 82.9%, respectively. But the landfill capacity was reduced by 81.6% for the category classified MSW as compared with mixed collected pattern.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1696-1700

Citation:

Online since:

February 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Y. Xiao, G.M. Zeng, Z.H. Yang: Bioresour. Technol. Vol. 100 (2009), pp.4807-4813.

Google Scholar

[2] D. Hu, R.S. Wang, J.S. Yan: Ecological Engineering. Vol. 11 (1998), pp.129-138.

Google Scholar

[3] F. McDougall, P. White, M. Franke: Integrated Solid Waste Manage. A Life Cycle Inventory. Blackwell Science, London. Murray, R., 1999. Environment Data: Compendium 2002. <http: /www. oecd. org>.

Google Scholar

[4] U. Langer, N. Dixon. Proceedings of the 4th British Geotechnical Association Geoenvironmental Engineering Conference. pp.267-274 (2004).

Google Scholar

[5] N. Dixon, U. Langer. Waste Manage. Vol. 26 (2006), pp.220-232.

Google Scholar

[6] N.N. Efendi, U. Gozde: Fuzzy Sets and Systems. Vol. 158 (2007), pp.2118-2133.

Google Scholar

[7] S. Brecheisen, H.P. Kriegel, M. Pfeifle: Proc. of the Fourth IEEE Internat. United Kingdom: Conference on Data Mining. 2003, pp.43-50.

Google Scholar

[8] Y. Zhou, X.S. Zhao, G.X. Li: Environ. Sci. Technol. Vol. 28 (2009), pp.1288-1292, in Chinese.

Google Scholar

[9] D.L. Shi, Z.H. Zhang G.X. Li: Transactions of the CSAE. Vol. 26 (2010), pp.324-329, in Chinese.

Google Scholar

[10] G.Q. Wang, D.G. Xu, G.X. Li: China Environm. Sci. Vol. 29 (2009), pp.402-406, in Chinese.

Google Scholar

[11] L.Y. Pan, G.X. Li, C.P. Li: Transactions of the CSAE, Vol. 24 (2008), pp.209-213, in Chinese.

Google Scholar

[12] G.X. Li, L.X. Zhou and Y.M. Li. Environ. Sci. China. p.41 (2005), In Chinese.

Google Scholar

[13] J. Li, Z. Zhang, X.M. Yang: J. of Chemical Industry and Engineering. Vol. 7(53), pp.759-764 (2002), In Chinese.

Google Scholar

[14] L.J. Song: PhD thesis, TongJi University. (2006), In Chinese.

Google Scholar

[15] X.F. Kou: Environ. Sci. and Technol. Vol. 2(22), pp.12-14 (2009), In Chinese.

Google Scholar