Solid Waste Management Services in Pathio Subdistrict Municipality, Chumphon Province


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This research was investigated the solid waste management services and waste collection system of Pathio Subdistrict Municipality, Chumphon province through the application of quantitative research using an information collected from 2011 to 2014. The population density in the year 2011 to 2015 was found 719 to 736 person/km2. Solid waste quantities were analyzed through the Lyapunov Exponent (LE) together with predictability method. A number of wastes in each year in this area were quite similar. This research provided the situation of solid wastes management in Pathio subdistrict municipality. Public participation is important for sustainable solid waste management with 3Rs concept were necessary for people practice and reducing the volume of wastes in their daily life for sustainable solid waste management service in this community. For enhancing positive attitudes among the people while conducting activities which targeted on wastes reduction such as waste banks. Moreover, solid wastes management system helped to increase people’s awareness on the importance of sorting waste at source.



Edited by:

Noppakun Sanpo, Jirasak Tharajak and Dr. Paisan Kanthang




V. Boonyaroj et al., "Solid Waste Management Services in Pathio Subdistrict Municipality, Chumphon Province", Applied Mechanics and Materials, Vol. 866, pp. 128-131, 2017

Online since:

June 2017




* - Corresponding Author

[1] A. Wongputarugsa1, C. Choosuk, J. Kittitornkul, C. Patanasakpinyo. Public participation in Community-based Solid Waste Management of Somwang Community, Songkhla Municipality The 2nd International Conference on Humanities and Social Sciences April 10th, 2010 Faculty of Liberal Arts, Prince of Songkla University Environment – Management _006.

[2] Cunningham, A. Sustainable Waste-resource Management: A guide for local authorities. 2001. The Waste Working Group January 2001. [WWW] http: /www. ioi. ic/~foceire/wastehandbook. htm (17/03/2002).

[3] N.F. Güler, E.D. Übeyli and I. Güler, Recurrent neural networks employing Lyapunov exponents for EEG signals classification, Expert Systems with Applications 29 (2005), pp.506-514.